This document provides an overview and getting started guide for IBM Tivoli Performance Analyzer Version 6.1. It describes the key components, architecture, deployment scenarios and installation/configuration process for the product. It also includes examples of proof of concept scenarios for evaluating the product's performance monitoring and analytics capabilities.
This document provides a step-by-step guide for deploying IBM Tivoli Monitoring Express Version 6.1. It discusses the architecture and components of the product. It then covers installation, configuration, and usage of Tivoli Monitoring Express and its various components like the Tivoli Enterprise Monitoring Server, Tivoli Enterprise Portal Server, agents, etc. It also provides guidance on collecting and accessing historical data stored in the IBM Tivoli Data Warehouse. Finally, it includes some sample monitoring scenarios.
This document provides guidance on becoming certified in IBM Tivoli Monitoring V6.1. It discusses the certification program and prerequisites for the IBM Tivoli Monitoring V6.1 Implementation exam. The document also outlines the major components of IBM Tivoli Monitoring V6.1 and provides installation and configuration instructions.
This document provides an overview and introduction to IBM Tivoli Business Service Manager V4.1. It discusses the key concepts of business service management and the architecture of Tivoli Business Service Manager. The document also covers installation, migration considerations, working with the Discovery Library toolkit, and operational aspects of Tivoli Business Service Manager V4.1.
This document provides guidance on implementing high availability for IBM Tivoli Workload Scheduler and IBM Tivoli Framework. It discusses different clustering technologies like IBM HACMP and Microsoft Cluster Server. It then describes how to set up Tivoli Workload Scheduler and Tivoli Framework in high availability configurations using these clustering solutions, including mutual takeover and hot standby scenarios. The document aims to provide best practices and tips for achieving high availability.
This document provides an overview of using IBM Tivoli Configuration Manager to deploy Rational products. It describes the key components and services of Tivoli Configuration Manager that are useful for deployment. It then provides step-by-step instructions for preparing Rational products, creating deployment packages, and deploying the packages to managed nodes using Tivoli Configuration Manager. The document is intended for IT professionals tasked with deploying Rational products in an enterprise environment.
This document provides a step-by-step guide for deploying IBM Tivoli Monitoring 6.1 in small to large environments. It discusses planning the installation, defining the architecture, creating deployment plans, installing the various Tivoli Monitoring components, and configuring the system. The guide also covers demonstrations of a single machine proof of concept installation and a small installation using DB2 Workgroup Edition.
This document provides a step-by-step guide for deploying IBM Tivoli Provisioning Manager Express V4.1 for Software Distribution. It describes how to install and configure the server and clients. It also explains how to use the software distribution and inventory components to manage software packages, distribute software, and gather hardware/software inventory. The guide includes best practices for infrastructure planning, installation, configuration, customization and administration for small, medium and large environments.
Redbook: Running IBM WebSphere Application Server on System p and AIX: Optimi...Monty Poppe
This IBM Redbooks publication describes how to run the IBM Java Virtual Machine for AIX and WebSphere Application Server V6.1 on IBM System p and the AIX 5L Operating Systems. In terms of provisioning, tuning and maintenance, it consolidates information from all of these areas into a single resource and explains how you can implement, tune, and utilize the unique features of the IBM POWER Systems platform, AIX, and WebSphere Application Server together for maximum optimization. The book is intended for UNIX system administrators, Java developers, infrastructure designers, J2EE architects, project managers, performance testers and anyone who runs WebSphere Application Server on System p and AIX. It may contain some information which you already know, and other information that is new to you, depending on your background. AIX system administrators may be expert in configuring logical partitions and advanced virtualization, but may gain an understanding from this book about how WebSphere deployment teams may be able to exploit the features of IBM POWER Systems and AIX. WebSphere infrastructure architects may already know exactly how they want their redundant systems to work, but might learn how AIX teams can provide two or three physical servers that provide all of the different levels of application services necessary for the entire application lifecycle environment.
This document provides a step-by-step guide for deploying IBM Tivoli Monitoring Express Version 6.1. It discusses the architecture and components of the product. It then covers installation, configuration, and usage of Tivoli Monitoring Express and its various components like the Tivoli Enterprise Monitoring Server, Tivoli Enterprise Portal Server, agents, etc. It also provides guidance on collecting and accessing historical data stored in the IBM Tivoli Data Warehouse. Finally, it includes some sample monitoring scenarios.
This document provides guidance on becoming certified in IBM Tivoli Monitoring V6.1. It discusses the certification program and prerequisites for the IBM Tivoli Monitoring V6.1 Implementation exam. The document also outlines the major components of IBM Tivoli Monitoring V6.1 and provides installation and configuration instructions.
This document provides an overview and introduction to IBM Tivoli Business Service Manager V4.1. It discusses the key concepts of business service management and the architecture of Tivoli Business Service Manager. The document also covers installation, migration considerations, working with the Discovery Library toolkit, and operational aspects of Tivoli Business Service Manager V4.1.
This document provides guidance on implementing high availability for IBM Tivoli Workload Scheduler and IBM Tivoli Framework. It discusses different clustering technologies like IBM HACMP and Microsoft Cluster Server. It then describes how to set up Tivoli Workload Scheduler and Tivoli Framework in high availability configurations using these clustering solutions, including mutual takeover and hot standby scenarios. The document aims to provide best practices and tips for achieving high availability.
This document provides an overview of using IBM Tivoli Configuration Manager to deploy Rational products. It describes the key components and services of Tivoli Configuration Manager that are useful for deployment. It then provides step-by-step instructions for preparing Rational products, creating deployment packages, and deploying the packages to managed nodes using Tivoli Configuration Manager. The document is intended for IT professionals tasked with deploying Rational products in an enterprise environment.
This document provides a step-by-step guide for deploying IBM Tivoli Monitoring 6.1 in small to large environments. It discusses planning the installation, defining the architecture, creating deployment plans, installing the various Tivoli Monitoring components, and configuring the system. The guide also covers demonstrations of a single machine proof of concept installation and a small installation using DB2 Workgroup Edition.
This document provides a step-by-step guide for deploying IBM Tivoli Provisioning Manager Express V4.1 for Software Distribution. It describes how to install and configure the server and clients. It also explains how to use the software distribution and inventory components to manage software packages, distribute software, and gather hardware/software inventory. The guide includes best practices for infrastructure planning, installation, configuration, customization and administration for small, medium and large environments.
Redbook: Running IBM WebSphere Application Server on System p and AIX: Optimi...Monty Poppe
This IBM Redbooks publication describes how to run the IBM Java Virtual Machine for AIX and WebSphere Application Server V6.1 on IBM System p and the AIX 5L Operating Systems. In terms of provisioning, tuning and maintenance, it consolidates information from all of these areas into a single resource and explains how you can implement, tune, and utilize the unique features of the IBM POWER Systems platform, AIX, and WebSphere Application Server together for maximum optimization. The book is intended for UNIX system administrators, Java developers, infrastructure designers, J2EE architects, project managers, performance testers and anyone who runs WebSphere Application Server on System p and AIX. It may contain some information which you already know, and other information that is new to you, depending on your background. AIX system administrators may be expert in configuring logical partitions and advanced virtualization, but may gain an understanding from this book about how WebSphere deployment teams may be able to exploit the features of IBM POWER Systems and AIX. WebSphere infrastructure architects may already know exactly how they want their redundant systems to work, but might learn how AIX teams can provide two or three physical servers that provide all of the different levels of application services necessary for the entire application lifecycle environment.
This document provides a step-by-step guide for deploying IBM Tivoli Configuration Manager. It discusses best practices for installation planning, including required expertise, deployment considerations, and backup strategies. It also provides two case studies detailing example installations of Tivoli Configuration Manager in a small/medium enterprise and a large enterprise.
This document provides a 3-page overview of managing WebSphere Application Server for z/OS using Tivoli products. It introduces the automation blueprint for comprehensive management of WebSphere from performance, availability, and security. The document is organized to describe the WebSphere environment, IBM Tivoli Monitoring for Web Infrastructure for inside-out monitoring, and IBM Tivoli Monitoring for Transaction Performance for outside-in monitoring.
This document is a deployment guide for IBM Tivoli Monitoring V6.2. It provides best practices for installing and configuring the product's components, including the monitoring server, portal server, monitoring agents, and Tivoli Data Warehouse. It also covers upgrading from previous versions, agent deployment methods, database requirements, and sample deployment scenarios.
This document provides an overview and introduction to installing and migrating to IBM Tivoli Workload Scheduler V8.3. It covers prerequisites, a new installation process using a wizard, upgrading from previous versions, and new features such as an improved infrastructure using WebSphere and DB2/Oracle databases. The document is intended to help users get started with V8.3 and provide best practices for installation and migration.
This document provides an overview and instructions for deploying and using IBM Tivoli Composite Application Manager for WebSphere V6.0. It describes how to plan, install, and configure the managing server and data collectors to monitor WebSphere application servers. It also provides guidance on using the monitoring console to analyze performance issues.
This document provides a guide for deploying the Tivoli Provisioning Manager for OS Deployment V5.1. It discusses planning and architecture considerations for image management systems. It then covers installing the TPM server and creating profiles for deploying Windows XP, Windows 2000, Windows Vista and Linux operating systems in unattended and cloning modes. The document is intended to help IT professionals learn how to use TPM for OS deployment in their environment.
This document provides a guide for installing and configuring IBM Tivoli Workload Scheduler for z/OS. It covers topics such as installing SMF and JES exits, allocating required data sets, creating started tasks to run the Tracker, Controller and DataStore components, and setting up communication methods. The document is intended for system programmers and administrators responsible for installing and customizing the workload scheduler.
This document provides best practices for planning and implementing large scale IBM Tivoli Monitoring environments. It discusses hardware sizing, scalability considerations, and performance optimization for the Tivoli Enterprise Monitoring Server, Tivoli Enterprise Portal Server, Tivoli Data Warehouse, and Tivoli Enterprise Monitoring agents. Firewall configuration and historical data collection are also addressed. The goal is to help customers deploy Tivoli Monitoring in a way that meets their monitoring needs as their environments grow to support thousands of devices and applications.
The document is a certification guide that describes the certification process and prerequisites for IBM Tivoli Workload Scheduler V8.4. It provides sample test questions to help prepare for the certification exam. The guide includes information about the recommended resources for study such as courses and publications. It aims to enable readers to earn certification for their skills and expertise with Tivoli Workload Scheduler V8.4.
This document provides an overview of virtualization technologies and discusses how to set up and configure DB2 on PowerVM, VMware vSphere, and Microsoft Hyper-V. It covers the architectures and features of these virtualization platforms, including PowerVM on Power Systems, VMware vSphere, and Hyper-V. It also provides guidance on installing and configuring DB2 in virtualized environments based on these technologies.
Tivoli Personalized Services Manager 1.1 supports pervasive devices, creates personalized service environments, and provides self care. It introduces new features including web hosting, a portal toolkit, Radius support, DB2 database support, localization, an improved device manager, and integration with IBM's WebSphere Everyplace suite. The document provides an overview of Tivoli Personalized Services Manager and its features for subscriber authentication, access control, customer care, personalized services, integration with third party tools, and support for emerging Internet business models.
This document provides guidance on planning for and implementing large-scale instances of IBM Tivoli Composite Application Manager for WebSphere and Response Time Tracking. It covers topics such as sizing servers, deploying components, ensuring high availability, and performing maintenance. The goal is to help organizations successfully manage thousands of applications and transactions across distributed environments.
This document provides an overview and guide to implementing an extended agent for IBM Tivoli Workload Scheduler (TWS) and IBM Tivoli Storage Manager (TSM). It describes how to configure and use a TSM extended agent that allows TWS to execute TSM commands and integrate TSM backup operations with workload scheduling. The document includes chapters that provide background on TWS and TSM, describe the functions and code of the TSM extended agent, provide instructions for testing and using the agent through a case study, and offer sample scenarios for how the agent could be used to automate various TSM backup and recovery processes.
This document discusses managing an SOA environment with Tivoli products. It introduces SOA concepts and components. It describes several Tivoli products for SOA management, including ITCAM for SOA, ITCAM for WebSphere, ITCAM for Response Time Tracking, and OMEGAMON XE for Messaging. It covers basic and advanced SOA and Web services management tasks that can be performed with these products, such as monitoring, debugging performance, understanding calling patterns, and maintaining continuity with an enterprise service bus.
This document provides step-by-step instructions for setting up and configuring IBM Tivoli Access Manager for Enterprise Single Sign-On 8.1 on both a single Windows server and in a clustered environment. It covers installing and configuring required components like the database, WebSphere Application Server, IBM HTTP Server, and the IMS Server. The document also discusses applying fix packs, configuring the IMS Server, and installing additional components like AccessAgent and AccessStudio.
This document discusses strategies for improving the robustness and availability of Tivoli Directory Integrator 7.0 solutions. Potential sources of failures that could impact solutions are identified as the network, data sources/targets, runtime environments, and unexpected data. The document then recommends various architectural patterns that can be implemented using Tivoli Directory Integrator to increase availability, such as duplication, external job scheduling, message queues, and monitoring systems. It also provides guidance on error handling, failover configurations, change data capture, and general best practices for designing and implementing robust Tivoli Directory Integrator solutions.
This document provides an overview of using IBM Tivoli Directory Integrator to integrate with IBM Lotus Domino. It introduces Tivoli Directory Integrator concepts like components, connectors, and assembly lines. It then discusses setting up Tivoli Directory Integrator and Lotus Domino for integration, including options for accessing Lotus Domino directory or documents using different connectors. The document is intended to help users understand and start building their own integration solutions between Lotus Domino and other systems using Tivoli Directory Integrator.
Preventing The Next Data Breach Through Log ManagementNovell
The document discusses how log management can be used for prevention, detection, and investigation of security incidents and data breaches. It explains that log management provides transparency by collecting logs from across an organization's IT infrastructure in a central location. This allows security teams to discover misconfigurations, unauthorized access attempts, and other anomalies that could indicate potential threats or actual security breaches. The document advocates for taking a preventative approach to security by using log data to monitor user activity and identity risks. It also promotes investing in security intelligence capabilities like security monitoring, analytics, and automated remediation.
This document discusses various architectural approaches and techniques for improving the availability and robustness of integration solutions built with Tivoli Directory Integrator 7.0. It describes potential sources of failures, such as network issues, problems with data sources or targets, unexpected data, and runtime environment troubles. It then provides recommendations for handling failures proactively through approaches like redundant systems, message queues, monitoring, and change data capture. The goal is to design integration flows that can withstand component failures and continue operating smoothly.
Novell SecureLogin Installation, Deployment, Lifecycle Management and Trouble...Novell
Facing installation problems? Not sure where to get the list of registries required? Need a tool to generate your own configuration files? Need a technical note to ensure that you proceed with installation, deployment and usage of Novell SecureLogin with ease? Not sure what the SecureLogin log means or how to use it?
If you’re running into challenges installing SecureLogin or just need to know what to do when it’s not working correctly, attend this session to get all the tips and tricks from product developers and Novell Technical Services. The session will provide installation and configuration guidance, including:
• How to use the SecureLogin config tool
• How to generate and customize your response file
• How to customize your installation
• How to complete a single-click install
• And much more
You will also learn what to do when issues with SecureLogin arise. Novell technical support presenters will cover common problems seen in support, available tools and how to use them, and specific troubleshooting steps that will help you keep SecureLogin running smoothly in your environment. You'll also learn what to do when these measures fail and what to have ready when you call support.
This document provides a step-by-step guide for deploying IBM Tivoli Monitoring Express Version 6.1. It discusses the architecture and components of the product. It then covers installation, configuration, and usage of Tivoli Monitoring Express and its various components like the Tivoli Enterprise Monitoring Server, Tivoli Enterprise Portal Server, agents, etc. It also provides guidance on collecting and accessing historical data stored in the IBM Tivoli Data Warehouse. Finally, it includes some sample monitoring scenarios.
This document provides a step-by-step guide for deploying IBM Tivoli Configuration Manager. It discusses best practices for installation planning, including required expertise, deployment considerations, and backup strategies. It also provides two case studies detailing example installations of Tivoli Configuration Manager in a small/medium enterprise and a large enterprise.
This document provides a 3-page overview of managing WebSphere Application Server for z/OS using Tivoli products. It introduces the automation blueprint for comprehensive management of WebSphere from performance, availability, and security. The document is organized to describe the WebSphere environment, IBM Tivoli Monitoring for Web Infrastructure for inside-out monitoring, and IBM Tivoli Monitoring for Transaction Performance for outside-in monitoring.
This document is a deployment guide for IBM Tivoli Monitoring V6.2. It provides best practices for installing and configuring the product's components, including the monitoring server, portal server, monitoring agents, and Tivoli Data Warehouse. It also covers upgrading from previous versions, agent deployment methods, database requirements, and sample deployment scenarios.
This document provides an overview and introduction to installing and migrating to IBM Tivoli Workload Scheduler V8.3. It covers prerequisites, a new installation process using a wizard, upgrading from previous versions, and new features such as an improved infrastructure using WebSphere and DB2/Oracle databases. The document is intended to help users get started with V8.3 and provide best practices for installation and migration.
This document provides an overview and instructions for deploying and using IBM Tivoli Composite Application Manager for WebSphere V6.0. It describes how to plan, install, and configure the managing server and data collectors to monitor WebSphere application servers. It also provides guidance on using the monitoring console to analyze performance issues.
This document provides a guide for deploying the Tivoli Provisioning Manager for OS Deployment V5.1. It discusses planning and architecture considerations for image management systems. It then covers installing the TPM server and creating profiles for deploying Windows XP, Windows 2000, Windows Vista and Linux operating systems in unattended and cloning modes. The document is intended to help IT professionals learn how to use TPM for OS deployment in their environment.
This document provides a guide for installing and configuring IBM Tivoli Workload Scheduler for z/OS. It covers topics such as installing SMF and JES exits, allocating required data sets, creating started tasks to run the Tracker, Controller and DataStore components, and setting up communication methods. The document is intended for system programmers and administrators responsible for installing and customizing the workload scheduler.
This document provides best practices for planning and implementing large scale IBM Tivoli Monitoring environments. It discusses hardware sizing, scalability considerations, and performance optimization for the Tivoli Enterprise Monitoring Server, Tivoli Enterprise Portal Server, Tivoli Data Warehouse, and Tivoli Enterprise Monitoring agents. Firewall configuration and historical data collection are also addressed. The goal is to help customers deploy Tivoli Monitoring in a way that meets their monitoring needs as their environments grow to support thousands of devices and applications.
The document is a certification guide that describes the certification process and prerequisites for IBM Tivoli Workload Scheduler V8.4. It provides sample test questions to help prepare for the certification exam. The guide includes information about the recommended resources for study such as courses and publications. It aims to enable readers to earn certification for their skills and expertise with Tivoli Workload Scheduler V8.4.
This document provides an overview of virtualization technologies and discusses how to set up and configure DB2 on PowerVM, VMware vSphere, and Microsoft Hyper-V. It covers the architectures and features of these virtualization platforms, including PowerVM on Power Systems, VMware vSphere, and Hyper-V. It also provides guidance on installing and configuring DB2 in virtualized environments based on these technologies.
Tivoli Personalized Services Manager 1.1 supports pervasive devices, creates personalized service environments, and provides self care. It introduces new features including web hosting, a portal toolkit, Radius support, DB2 database support, localization, an improved device manager, and integration with IBM's WebSphere Everyplace suite. The document provides an overview of Tivoli Personalized Services Manager and its features for subscriber authentication, access control, customer care, personalized services, integration with third party tools, and support for emerging Internet business models.
This document provides guidance on planning for and implementing large-scale instances of IBM Tivoli Composite Application Manager for WebSphere and Response Time Tracking. It covers topics such as sizing servers, deploying components, ensuring high availability, and performing maintenance. The goal is to help organizations successfully manage thousands of applications and transactions across distributed environments.
This document provides an overview and guide to implementing an extended agent for IBM Tivoli Workload Scheduler (TWS) and IBM Tivoli Storage Manager (TSM). It describes how to configure and use a TSM extended agent that allows TWS to execute TSM commands and integrate TSM backup operations with workload scheduling. The document includes chapters that provide background on TWS and TSM, describe the functions and code of the TSM extended agent, provide instructions for testing and using the agent through a case study, and offer sample scenarios for how the agent could be used to automate various TSM backup and recovery processes.
This document discusses managing an SOA environment with Tivoli products. It introduces SOA concepts and components. It describes several Tivoli products for SOA management, including ITCAM for SOA, ITCAM for WebSphere, ITCAM for Response Time Tracking, and OMEGAMON XE for Messaging. It covers basic and advanced SOA and Web services management tasks that can be performed with these products, such as monitoring, debugging performance, understanding calling patterns, and maintaining continuity with an enterprise service bus.
This document provides step-by-step instructions for setting up and configuring IBM Tivoli Access Manager for Enterprise Single Sign-On 8.1 on both a single Windows server and in a clustered environment. It covers installing and configuring required components like the database, WebSphere Application Server, IBM HTTP Server, and the IMS Server. The document also discusses applying fix packs, configuring the IMS Server, and installing additional components like AccessAgent and AccessStudio.
This document discusses strategies for improving the robustness and availability of Tivoli Directory Integrator 7.0 solutions. Potential sources of failures that could impact solutions are identified as the network, data sources/targets, runtime environments, and unexpected data. The document then recommends various architectural patterns that can be implemented using Tivoli Directory Integrator to increase availability, such as duplication, external job scheduling, message queues, and monitoring systems. It also provides guidance on error handling, failover configurations, change data capture, and general best practices for designing and implementing robust Tivoli Directory Integrator solutions.
This document provides an overview of using IBM Tivoli Directory Integrator to integrate with IBM Lotus Domino. It introduces Tivoli Directory Integrator concepts like components, connectors, and assembly lines. It then discusses setting up Tivoli Directory Integrator and Lotus Domino for integration, including options for accessing Lotus Domino directory or documents using different connectors. The document is intended to help users understand and start building their own integration solutions between Lotus Domino and other systems using Tivoli Directory Integrator.
Preventing The Next Data Breach Through Log ManagementNovell
The document discusses how log management can be used for prevention, detection, and investigation of security incidents and data breaches. It explains that log management provides transparency by collecting logs from across an organization's IT infrastructure in a central location. This allows security teams to discover misconfigurations, unauthorized access attempts, and other anomalies that could indicate potential threats or actual security breaches. The document advocates for taking a preventative approach to security by using log data to monitor user activity and identity risks. It also promotes investing in security intelligence capabilities like security monitoring, analytics, and automated remediation.
This document discusses various architectural approaches and techniques for improving the availability and robustness of integration solutions built with Tivoli Directory Integrator 7.0. It describes potential sources of failures, such as network issues, problems with data sources or targets, unexpected data, and runtime environment troubles. It then provides recommendations for handling failures proactively through approaches like redundant systems, message queues, monitoring, and change data capture. The goal is to design integration flows that can withstand component failures and continue operating smoothly.
Novell SecureLogin Installation, Deployment, Lifecycle Management and Trouble...Novell
Facing installation problems? Not sure where to get the list of registries required? Need a tool to generate your own configuration files? Need a technical note to ensure that you proceed with installation, deployment and usage of Novell SecureLogin with ease? Not sure what the SecureLogin log means or how to use it?
If you’re running into challenges installing SecureLogin or just need to know what to do when it’s not working correctly, attend this session to get all the tips and tricks from product developers and Novell Technical Services. The session will provide installation and configuration guidance, including:
• How to use the SecureLogin config tool
• How to generate and customize your response file
• How to customize your installation
• How to complete a single-click install
• And much more
You will also learn what to do when issues with SecureLogin arise. Novell technical support presenters will cover common problems seen in support, available tools and how to use them, and specific troubleshooting steps that will help you keep SecureLogin running smoothly in your environment. You'll also learn what to do when these measures fail and what to have ready when you call support.
This document provides a step-by-step guide for deploying IBM Tivoli Monitoring Express Version 6.1. It discusses the architecture and components of the product. It then covers installation, configuration, and usage of Tivoli Monitoring Express and its various components like the Tivoli Enterprise Monitoring Server, Tivoli Enterprise Portal Server, agents, etc. It also provides guidance on collecting and accessing historical data stored in the IBM Tivoli Data Warehouse. Finally, it includes some sample monitoring scenarios.
This document is a deployment guide for IBM Tivoli Monitoring V6.2. It provides best practices for installing and configuring the product. It discusses the IT environment requirements and hardware/software prerequisites. It also includes sample deployment scenarios and steps for upgrading from previous versions. The guide is intended to help customers successfully plan and implement IBM Tivoli Monitoring.
This document is a study guide for IBM Tivoli Monitoring V5.1.1 certification. It provides an overview of the certification exams, outlines the key topics covered in the exams, and recommends resources to help prepare. The guide discusses planning and requirements for deploying IBM Tivoli Monitoring, how to install the software, and how to configure the Tivoli Monitoring server. It also includes sample exam questions.
This document provides a step-by-step guide for deploying IBM Tivoli Monitoring 6.1 in small to large environments. It covers installing and configuring the various Tivoli Monitoring components, including the database, Tivoli Enterprise Monitoring Server (TEMS), Tivoli Enterprise Portal Server, agents, and more. The guide also discusses backup strategies, uninstall procedures, and how to work with the Tivoli Enterprise Portal client.
This document is an IBM Tivoli Monitoring V5.1.1 Implementation Certification Study Guide. It explains how to prepare for, install, configure and operate IBM Tivoli Monitoring V5.1.1 in order to take Certification Test 593. It includes sample test questions and answers. The guide covers topics like prerequisite knowledge, planning an implementation, installation prerequisites, installing and configuring the IBM Tivoli Monitoring server.
This document provides an overview and instructions for installing and using IBM Tivoli Composite Application Manager for WebSphere V6.0. It discusses planning the installation, installing the managing server and data collectors, configuring the system, and using the tool to monitor applications, troubleshoot performance issues, and determine problems with the tool.
This document provides a step-by-step guide for deploying IBM Tivoli Provisioning Manager Express V4.1 for Software Distribution. It describes how to install and configure the server and clients. It also explains how to use the software distribution and inventory components to manage software packages, distribute software, and gather hardware/software inventory. The guide includes best practices for infrastructure planning, installation, configuration, and ongoing administration using the product's management console.
This document provides an overview and planning guide for implementing an availability and performance monitoring solution based on IBM's Tivoli portfolio and following an ITIL-based management approach. It discusses key concepts in ITIL, availability management, and capacity management. It also introduces IBM's service management framework and blueprint. Additionally, it provides overviews of the various Tivoli products for resource monitoring, composite application management, event correlation, business service management, mainframe management, and process management. Finally, it includes sample scenarios for monitoring UNIX servers, web applications, networks, and a complex retail environment.
This document provides guidance on using IBM Tivoli Configuration Manager to deploy Rational products. It describes the key components and features of Tivoli Configuration Manager that enable software distribution. It then outlines the steps to prepare Rational products for deployment including creating release areas, configuration files, and software packages. Finally, it explains how to create deployment profiles in Tivoli Configuration Manager and use them to install Rational packages on target systems.
The document is a guide for obtaining certification in IBM Tivoli Provisioning Manager V5.1. It discusses the IBM Professional Certification Program and the benefits of certification. It also provides details on the certification path and prerequisites for the Tivoli Provisioning Manager V5.1 Implementation certification, including recommended study resources such as courses and publications. The guide helps readers learn about and prepare for the certification test for Tivoli Provisioning Manager V5.1.
This document provides an overview and guide for installing and administering IBM AIX Enterprise Edition. It describes the key components of AIX Enterprise Edition including DB2, IBM Tivoli Monitoring, Tivoli Asset and Discovery for Distributed Management, and IBM Tivoli Usage and Accounting Manager. It also provides guidance on planning, sizing, installing, configuring, and operating each component. The document is intended as a reference for system administrators working with AIX Enterprise Edition.
This document provides guidance on planning for and implementing large-scale instances of IBM Tivoli Composite Application Manager for WebSphere and Response Time Tracking. It covers topics such as sizing servers, deploying components, ensuring high availability, and performing maintenance. The goal is to help organizations successfully manage thousands of applications and transactions across distributed environments.
This document provides an overview of IBM Service Management products and how they can be used together to implement end-to-end IT service management. It discusses IBM Tivoli products for change, configuration, release and asset management. It also explores topology considerations for deploying the products and provides examples of integrating them for incident and problem management, release management, and with an external service desk. The goal is to learn best practices for using IBM's service management portfolio.
The document is about end-to-end automation with IBM Tivoli System Automation for Multiplatforms. It provides an overview of IBM Tivoli System Automation for Multiplatforms V2.1 and IBM Tivoli System Automation for z/OS V3.1. It then presents three case study scenarios implementing end-to-end automation across different platforms using the products.
This document provides an overview and technical guide for IBM Tivoli Storage Manager Version 6.1. It discusses new features in Tivoli Storage Manager V6.1 including server and client enhancements. It also covers the transition of the Tivoli Storage Manager database to DB2, administration of the DB2 database, and use of the Disaster Recovery Manager.
This document provides a step-by-step guide for deploying IBM Tivoli Configuration Manager (TCM). It discusses TCM components, required expertise for installation, planning considerations, and provides examples of installing TCM in small/medium and large enterprises. The guide includes details on installing TCM servers, databases, desktop clients, and configuring components. It also addresses backup strategies and connecting multiple TCM regions.
This document is a certification guide for IBM Tivoli Provisioning Manager Express for Software Distribution V4.1. It provides an overview of IBM's professional certification program and the certification objectives for Tivoli Provisioning Manager Express V4.1. The guide also covers recommended resources for study, including courses and publications. Additionally, it details best practices for planning, installing, configuring, and administering Tivoli Provisioning Manager Express for Software Distribution V4.1.
This document provides guidance for IBM Tivoli Netcool/OMNIbus V7.2 certification. It discusses the certification program and test objectives, and provides an overview of the installation, configuration, and customization processes for Netcool/OMNIbus. Key topics covered include planning the Netcool/OMNIbus architecture and components, installing and configuring various elements like the ObjectServer and gateways, and setting up security through roles, groups and users. The document aims to prepare readers for the certification exam by explaining the essential tasks and concepts relating to a Netcool/OMNIbus implementation.
This document is a study guide for the IBM Tivoli Configuration Manager 4.2 certification. It explains the certification path and prerequisites, provides an overview of the Tivoli Management Framework and Tivoli Configuration Manager components and installation, and includes sample test questions and answers to help readers prepare for the certification exam.
This document provides a proof of concept guide for installing and configuring IBM Tivoli Storage Manager Version 5.3. It includes information on system requirements, planning the installation, installing and configuring the Tivoli Storage Manager server and clients on Windows and UNIX (AIX) systems, and demonstration scenarios for common backup, restore, archive, and management tasks.
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This document provides the table of contents and introduction for the PostgreSQL 15.1 documentation. It describes that PostgreSQL is an open-source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. The documentation is copyrighted by the PostgreSQL Global Development Group and provides instructions for how to report bugs and get further information.
This document provides the table of contents and introduction for the PostgreSQL 14.6 documentation. It describes that PostgreSQL is an open-source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. The documentation is copyrighted by the PostgreSQL Global Development Group and provides instructions for how to report bugs and get further information.
This document provides instructions for a lab exercise on getting started with IBM MobileFirst Platform. It introduces the key concepts of MobileFirst Platform Studio and walks through steps to import a sample banking application project, examine the project structure, add an Android environment, and preview the application in the Mobile Browser Simulator and an Android device. It also demonstrates how to invoke adapters and use the MobileFirst Platform Console and Operational Analytics. The lab aims to familiarize users with the MobileFirst Platform development tools and features.
The IBM MobileFirst Platform provides mobile application development tools and services. It allows developers to integrate backend data, continuously improve apps based on user feedback, and deliver personalized experiences. The platform provides modular services for contextualizing apps, securing data, and gaining insights from usage data. It supports both hybrid and native mobile application development.
IBM MobileFirst Foundation provides tools for developing hybrid, native, and mobile web applications using standards-based technologies. This proof of technology session will demonstrate how to use IBM MobileFirst Foundation to accelerate mobile app development, provide management of deployed apps, and utilize capabilities like in-app notifications, operational analytics, and sentiment analysis. The agenda includes presentations and hands-on labs covering app development, backend integration, app lifecycle management, quality assurance, and the MobileFirst architecture. The session is intended for IT professionals interested in a mobile application platform and will be offered free of charge with breakfast provided.
The document describes adding a mobile coupons ("My Offers") feature to the IBMBank mobile application. It involves using the MobileFirst Platform Service Discovery wizard to generate an adapter for a SOAP web service, adding HTML/JS to display offer data from the service, and implementing local storage of selected offers using the JSON Store database. Key steps include discovering and testing the SOAP service, importing JS files, initializing JSON Store, modifying the app code to retrieve and save offers, and previewing the updated app.
This document provides instructions for a lab exercise on getting started with IBM MobileFirst Platform. It introduces the key concepts of MobileFirst Platform Studio and walks through steps to import a sample banking application project, examine the project structure, add an Android environment, and preview the application in the Mobile Browser Simulator and an Android device. It also demonstrates how to invoke backend services using adapters and view analytics data from the MobileFirst Operations Console. The document contains detailed steps, screenshots and explanations to help users learn fundamental MobileFirst Platform development tasks.
This document describes a lab exercise to demonstrate application management functions in IBM MobileFirst using the MobileFirst Operations Console. The lab will:
1. Deploy an initial version of an IBMBank mobile application to a MobileFirst Server.
2. Publish an updated version of the application to fix a bug, and test the "Direct Update" feature which pushes changes to client devices.
3. Configure application status notifications via the MobileFirst Operations Console and see them displayed on an Android emulator.
This document provides an overview of IBM MobileFirst Platform's operational analytics features. It describes how the analytics platform collects and analyzes data from mobile applications, servers, and devices to provide visibility into performance and usage. The analytics console contains various views and capabilities for searching logs, viewing charts and reports, and diagnosing issues. It summarizes the different data sources, events captured, and the client and server APIs used to log additional analytics data. The document then outlines the steps to access the analytics console and walk through its key pages and functionality.
This document provides instructions for using the MobileFirst Quality Assurance tool on Bluemix to perform sentiment analysis. It first gives a brief overview of MobileFirst Quality Assurance and its capabilities. It then outlines the steps to set up a Mobile Quality Assurance service instance on Bluemix and link it to an iOS app. Finally, it describes how to view the sentiment analysis results in production, including overall sentiment scores, attribute dashboards, comparison to other apps, and attribute trend statistics.
The document describes an exercise using IBM Mobile Quality Assurance (MQA) to test a mobile banking application and report bugs. Students will launch an Android emulator containing the instrumented app. They can test the app functionality and use MQA's in-app notification to report bugs found, such as a misspelled button label. MQA will capture screenshots which students can annotate to describe the issue. All bug reports are uploaded to MQA and viewed by instructors in Bluemix to share with the class. The goal is to introduce MQA's capabilities for mobile app testing and feedback.
This document provides an overview and instructions for installing and configuring the Tivoli Management Environment (TME) platform. It discusses planning the installation, installing TME software on UNIX and PC nodes, configuring the TME management regions and resources, creating administrators and policy regions, and diagnosing common installation issues. It also provides guidance on setting up backups and describes capabilities of the Tivoli/Courier deployment application for managing file packages.
This document provides an overview of firewalls and demilitarized zones (DMZs), and summarizes Tivoli Framework solutions for communicating across firewalls in a secure manner. It describes how Tivoli Framework 3.7.1 introduced single port bulk data transfer and endpoint upcall port consolidation to reduce open ports. The Firewall Solutions Toolbox further improves security with endpoint and gateway proxies, relays to cross multiple DMZs adhering to no direct routing, and supporting unidirectional communications. It also describes the event sink for collecting events from non-Tivoli sources.
This document provides an overview of planning and implementing Tivoli Data Warehouse Version 1.3. It discusses the key components of Tivoli Data Warehouse including the control center server, source databases, central data warehouse, data marts, warehouse agents, and Crystal Enterprise server. It also covers planning considerations such as hardware and software requirements, physical and logical design choices, database sizing, security, network traffic, and skills required. The document is intended as a guide for implementing and managing a Tivoli Data Warehouse.
This document provides an overview and guide for using Business Objects reporting tools with Tivoli Data Warehouse 1.2. It covers Business Objects products and platform, installing Business Objects desktop components, configuring Business Objects for Tivoli Data Warehouse, creating reports, advanced reporting and security features, and deploying reports. The document contains examples and step-by-step instructions for setting up Business Objects and generating simple to advanced reports on Tivoli Data Warehouse data.
The document is a manual for Tivoli Business Systems Manager Version 2.1. It provides an overview of the product, which allows for end-to-end business impact management through integrated systems management. The manual details the product structure, components, functions, database structure, user interface, and planning requirements for implementation. It is intended to help users understand and implement the key capabilities of Tivoli Business Systems Manager.
This document provides an overview of implementing the Tivoli Enterprise Console (TEC). It discusses planning requirements such as the management software, managed devices, event sources, and rule policies. It then covers installing the required relational database management system (RDBMS), either Oracle or Sybase. Finally, it describes setting up the Tivoli Management Framework, installing the TEC software, configuring distributed monitoring and scripts, and deploying event adapters.
This document provides an overview and comparison of IBM tape library solutions for backing up IBM xSeries servers. It discusses factors to consider when selecting a tape library such as capacity, number of drives, and scalability. It also provides configuration details for backing up to tape libraries using Tivoli Storage Manager, VERITAS Backup Exec, and CA ARCserve. Recovery procedures using the backup software and Tivoli Disaster Recovery Manager are also covered.
This document provides a release guide for IBM Tivoli Storage Productivity Center Version 4.2. It includes information on the new features and functions of Tivoli Storage Productivity Center V4.2, an overview of the product architecture and family, and instructions for installing Tivoli Storage Productivity Center on Windows and Linux systems. The document covers preinstallation steps, installing prerequisite software like DB2, and installing the Tivoli Storage Productivity Center servers, graphical user interface (GUI), and command line interface (CLI).
This document discusses data synchronization features in IBM Tivoli Directory Integrator 6.1, including delta detection, delta tagging, and delta application. Delta detection discovers changes in a data source and retrieves only the modified data. Delta tagging stores change information in the retrieved data using operation codes. Delta application then uses these tags to efficiently propagate only necessary changes to target systems.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Getting started with ibm tivoli performance analyzer version 6.1 sg247478
1. Front cover
Getting Started with
IBM Tivoli Performance
Analyzer Version 6.1
Learn performance analytics for Tivoli
Performance Analyzer
Experiment with deployment
scenarios and case studies
Learn IBM capacity
management offerings
Vasfi Gucer
Bernd Arnold
Harshad P Moghe
ibm.com/redbooks
2.
3. International Technical Support Organization
Getting Started with IBM Tivoli Performance
Analyzer Version 6.1
December 2007
SG24-7478-00
12. Trademarks
The following terms are trademarks of the International Business Machines Corporation in the United States,
other countries, or both:
AIX® IBM® Tivoli Enterprise Console®
DB2® OMEGAMON® Tivoli®
e-business on demand® Redbooks®
e-business Hosting™ Redbooks (logo) ®
The following terms are trademarks of other companies:
ITIL is a registered trademark, and a registered community trademark of the Office of Government
Commerce, and is registered in the U.S. Patent and Trademark Office.
Java, JDBC, JRE, JVM, Solaris, and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in
the United States, other countries, or both.
Microsoft, Windows Server, Windows, and the Windows logo are trademarks of Microsoft Corporation in the
United States, other countries, or both.
UNIX is a registered trademark of The Open Group in the United States and other countries.
Linux is a trademark of Linus Torvalds in the United States, other countries, or both.
Other company, product, or service names may be trademarks or service marks of others.
x Getting Started with IBM Tivoli Performance Analyzer Version 6.1
14. Bernd Arnold is a certified Senior Systems Management Professional working
for IBM Global Integrated Technology Delivery in Germany. He has more than 15
years of experience in the IT Industry and has worked for IBM Germany since
1995. Currently he is an IT Architect in the On demand Data Center Services
program in Global Technology Integration and Management Competency. He
was a lead architect on several large Universal Management Infrastructure and
Tivoli implementations in Europe. Before this, he worked for an IBM e-business
Hosting™ as a lead Architect for Systems Management, and he was a Europe,
Middle East, and Africa Service Manager for the Central Tools local area network
(LAN). He is responsible for solution architecture and solution deployment in
strategic outsourcing. He also provides governance and leadership guidance to
e-business Hosting and IBM e-business on demand® customer projects.
Harshad Moghe is a Senior IT Specialist, working with Global Technology
Services in India. He has more than eight years of experience with IBM. In the
last four years, he worked with the Tivoli products, specializing on Tivoli
products, such as IBM Tivoli Monitoring, Tivoli Enterprise Console®, Tivoli Data
Warehouse, Tivoli Service Level Advisor, Tivoli Provisioning Manager, Tivoli
Confirguration Manager, and so on. He has extensive experience with shell
programming. He is an IBM Certified Deployment Professional TEC 3.9 and is
ITIL® Foundation Certified.
Thanks to the following people for their contributions to this project:
KaTrina Love Abram
International Technical Support Organization, Atlanta
Woi Ang, Simon Huband, Samuel Seow, Travis Windsor
IBM Australia
Jon Austin, Heath Newburn
IBM USA
Arzu Gucer
International Technical Support Organization, Austin Center
xii Getting Started with IBM Tivoli Performance Analyzer Version 6.1
15. Become a published author
Join us for a two-to-six week residency program! Help write a book dealing with
specific products or solutions, while getting hands-on experience with
leading-edge technologies. You will have the opportunity to team with IBM
technical professionals, Business Partners, and Clients.
Your efforts will help increase product acceptance and customer satisfaction. As
a bonus, you will develop a network of contacts in IBM development labs, and
increase your productivity and marketability.
To find out more about the residency program, browse the residency index, and
apply online at:
ibm.com/redbooks/residencies.html
Comments welcome
Your comments are important to us!
We want our books to be as helpful as possible. Send us your comments about
this book or other IBM Redbooks in one of the following ways:
Use the online Contact us review Redbooks form found at:
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Preface xiii
16. xiv Getting Started with IBM Tivoli Performance Analyzer Version 6.1
18. 1.1 What is capacity management
Capacity management is the discipline that ensures that IT infrastructure is
provided at the right time in the right volume at the right price. The primary goal
of capacity management is to provide adequate capacity to meet the service
level agreements in a cost effective manner. To reach this goal it is important to
avoid overspending on capacity that goes unused, avoid guessing on what will
meet the service needs, and plan for upcoming needs to enable better purchase
decisions.
The high-level activities are:
Application sizing
Workload management
Demand management
Modeling
Capacity planning
Component management
The Information Technology Infrastructure Library (ITIL) framework describes
one common interpretation of capacity management. Figure 1-1 shows you the
ITIL process definition for capacity management.
Planning to im plem ent service m anagem ent
S ervice m anagem ent
The technology
The business
The ICT
S ervice support
business Infrastructure
perspective m anagem ent
S ervice delivery
Security
m anagem ent
Application m anagem ent
C a p a c ity M a n a g em e n t
-> B u sin e ss c ap a city m a n a g e m e n t
-> S e rvice c ap a city m a n a g e m e n t
-> C o m p o n e n t cap a city m a n a g e m e n t
Figure 1-1 ITIL process definition for capacity management
2 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
19. The activities in Figure 1-1 on page 2 are intended to optimize performance and
efficiency and to help you plan for and justify financial investments. Capacity
management is concerned with:
Performance and throughput monitoring on a load, server, server farm, or on
property.
Performance analysis of measurement data, which includes analyzing the
impact of new releases on capacity.
Performance tuning activities to ensure the most efficient use of existing
infrastructure.
Understanding the demands on the service and future plans for workload
growth (or shrinkage).
Influences on demand for computing resources.
Capacity planning – developing a plan for the service.
1.2 Benefits and value of IBM Tivoli Performance
Analyzer V6.1
The strategic value of IBM Tivoli Performance Analyzer V6.1 is to:
Address the gap in availability segment for performance and capacity
management.
Add value to IBM Tivoli Monitoring V6.1, IBM Service Management (ISM),
and OMEGAMON products.
IBM Tivoli Performance Analyzer V6.1 is for IT operations managers and IT
service management specialists who need to make rapid, actionable, planning
decisions for the effective provisioning of resources for new applications,
workloads, or for the remediation of performance problems.
IBM Tivoli Performance Analyzer V6.1 is the solution, which IBM provides, that:
Enables performance management activities to be embedded in all systems
management processes.
Enables performance and capacity management activities to be undertaken
where needed in the service management life cycle, especially in real-time
response to service level and availability problems in IT operations.
Enables a simpler approach to performance and capacity management
modeling for non-specialist users and faster response to resolving
performance problems caused by capacity bottlenecks.
Chapter 1. Introduction to capacity and performance management 3
20. IBM Tivoli Performance Analyzer V6.1 is a simple tool for performance and
capacity management without requiring specialists, long set-up times, and
extensive data gathering. It provides clear, actionable, answers to critical
planning and operational questions and covers not just the modeling aspects of
performance planning but the whole infrastructure management life style, which
includes modeling, planning, resource tuning, demand management, and
evaluation.
IBM Tivoli Performance Analyzer V6.1 supports IT Leaders in answering the
following questions to optimize the IT capacity:
When will my application fail to meet service levels?
What will happen if application use grows 25% or more?
How will application performance change if I modify the infrastructure?
What is the best hardware solution to meet my performance and cost goals?
Where are my under utilized servers and networks?
Can I meet service level agreements without overbuilding my infrastructure?
Which servers and network components really need an upgrade?
Which application will experience the next performance issue? when?
Providing accurate IT forecasts and appropriate IT capacity to meet business
needs are two major critical success factors in the capacity management area.
You can use the following Key Performance Indicators (KPIs) to measure the
critical success factors:
Total dollars in unplanned and unused capacity expenditures.
Percent of capacity forecasts that were accurate.
Number of inaccurate business forecast inputs provided.
Number of incidents related to capacity/performance issues.
Number of service level agreements targets missed due to capacity.
1.3 IBM offerings in capacity management
Capacity management is comprised of three sub-processes: business capacity
management, service capacity management, and resource capacity management.
Business capacity management
Ensures process discipline with a capacity management process in the
business. Using models and simulations, business capacity management
takes the customers’ business plans into account to predict future capacity
needs and to determine the requirements and capacity that is required to
support new or modified applications.
4 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
21. Service capacity management
Ensures that you can meet service level agreements based on current and
peak loads on the infrastructure. Service capacity management also makes
performance analysis an ongoing operational activity through monitoring and
analyzing the performance of the operation environment and comparing that
to the resource load that is determined in resource capacity management.
Resource capacity management
Performs service and application-centric capacity management to understand
the use of the IT infrastructure by monitoring trends on the resources that are
needed to provide the services. On this trend information, these processes
are responsible for tuning the infrastructure to best meet the capacity needs.
For all of the capacity management sub-processes, IBM provides a solution.
Figure 1-2 provides all of the IBM offerings in the capacity management area.
Figure 1-2 IBM capacity management sub-process offerings
Chapter 1. Introduction to capacity and performance management 5
22. Table 1-1provides information to help you decide which product to choose.
Table 1-1 Solution decision table
Environment Problem Solution
Rapidly changing business Need to establish capacity IBM Tivoli Capacity
environment with formal management as part of a Process Manager
change control process change/release process V1.1
Business-critical technical Need to spot resource trends IBM Tivoli
environment supporting before they become Performance Analyzer
varying and growing business-impacting V6.1
workloads bottlenecks
Complex application Need to plan and predict HyPerformix IPS
environment or services performance and size Capacity Manager
components interconnected applications accurately
1.3.1 IBM Tivoli Capacity Process Manager V1.1
IBM Tivoli Capacity Process Manager V1.1 provides a comprehensive range of
features that help you manage and monitor the capacity of your IT infrastructure
resources. You can fully customize the activities in a capacity workflow to ensure
that tasks are completed in the correct order by the right people.
IBM Tivoli Capacity Process Manager V1.1 is an IBM service management
process manager, which is fully integrated into the change and configuration
management database to ensure that the correct capacity management process
is followed. It takes full advantage of a range of powerful, dynamic-flow
capabilities. It is based on best practices and supports processes based on ITIL.
6 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
23. Figure 1-3 provides a graphical overview of the IBM Tivoli Capacity Process
Manager V1.1.
Size a New Application
Monitor an Existing Application
Planning/
Tivoli Enterprise Portal
Estimating Tools
Figure 1-3 IBM Tivoli Capacity Process Manager V1.1 overview
IBM Tivoli Capacity Process Manager V1.1 has the following features:
A set of new customizable process templates that support common capacity
management scenarios, such as sizing a new application, tuning an existing
deployment, and monitoring a deployed infrastructure.
A library of customizable, best-practice workload profiles for capturing and
modeling common applications, such as online shopping and batch
operations.
Chapter 1. Introduction to capacity and performance management 7
24. A library of task-specific expert advice that guides non-specialist staff through
the capacity management process.
All work requests that can potentially lead to an infrastructure upgrade are
captured.
Data related to both business requirements and IT metrics are gathered,
based on policies and best practices, which speeds overall processes and
frees capacity specialists to concentrate on analysis and modeling rather than
data collection.
Multiple tools are integrated into one management process flow to enable
effective, productive handling of all capacity management requests.
Best of all, this product enables you to achieve incremental value by adopting a
process, growing and adapting the process at your own pace, and adding task
automation to further reduce labor costs around defined capacity management
pains.
1.3.2 IBM Tivoli Performance Analyzer V6.1
IBM Tivoli Performance Analyzer V6.1 extends IBM Tivoli Monitoring V6.1 to
provide additional performance and capacity monitoring capabilities and
advanced resource monitoring. It enables proactive analysis of performance and
resource utilization trends, predicts application bottlenecks, and creates alerts for
potential service threats.
8 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
25. Figure 1-4 is an overview of the IBM Tivoli Performance Analyzer V6.1.
Button on TEP
to Configure
Figure 1-4 IBM Tivoli Performance Analyzer V6.1 overview
IBM Tivoli Performance Analyzer V6.1 has the following features:
Adds capacity and performance management capabilities to IBM Tivoli
Monitoring V6.1.
– Uses existing agents and leverage of data warehouse database.
– Out of the box value for distributed systems.
– Supports Universal Agent.
– New capacity metrics, predictive trending, and targeted reports.
Derived metrics.
– Takes the existing attributes and creates new ones using arithmetic
expression.
Predictive trending on key operational metrics.
– Integrates trending reports and fires situations when trends are detected.
Targeted reports for performance management.
– Includes forecast reports with icons and overlay charts for rich content.
– Has out of the box support for distributed operating systems.
Chapter 1. Introduction to capacity and performance management 9
26. 1.3.3 HyPerformix IPS Capacity Manager
In this section, we discuss the HyPerformix IPS Capacity Manager, which:
Enables you to model applications and services.
Creates “What-if” scenarios to answer business questions related to the
end-to-end management of complex production environments.
Provides risk free, prescriptive capacity management, which leverages the
performance monitoring tools that you already have in place.
Figure 1-5 provides an overview of the HyPerformix Capacity Manager.
IP S C a p a city M a n a g e r
J D B C d ata b a s e a cc e s s to w ith C a p ac ity D a tab a s e
s yste m a n d n etw o rk m etrics
S u p p o rts co n n ec tio n of
h e tero g e n eo u s
T ivo li D a ta W a re h o u s e T iv o li IT M p e rfo rm a n ce d ata s o urc es
(o r IT M 5 .1 R IM d ata b ase)
5 .1 , 6 .1
P e rfm o n
m a n a g em en t s ys tem (s) N e a r re a l-tim e a n d d a ily g a th e rin g
o f m etric s u m m a rie s in to da ta ba se
m o nitored n o d es
C u sto m
No Changes
R e q u ire d to
T iv oli IT M P erform a n ce A g en ts IT M E n v iro n m e n t
Figure 1-5 HyPerformix IPS Capacity Manager overview
With HyPerformix IPS Capacity Manager, you do not need to install a proprietary
data collection agent; instead, HyPerformix IPS Capacity Manager can leverage
data from the performance management tools that you already have in place,
which includes BMC Patrol, HP OpenView, and IBM Tivoli Monitoring V6.1.
The HyPerformix IPS Capacity Manager gives you the ability to determine the
best way to:
Find under-utilized servers and consolidate them without disturbing the
production environment.
Know when and where the next application performance bottleneck will occur.
10 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
27. Understand when you need to buy additional hardware, when you can wait,
and which hardware model offers the best end-to-end performance.
Determine the impact of single or multiple changes in workload, server
configuration, or user volume over time.
IBM Tivoli Monitoring V6.1 and HyPerformix IPS Capacity Manager are highly
complementary solutions that together:
Minimize business disruption by reducing mean time to problem resolution
and by reducing the incidence of incorrect upgrades when solving capacity
problems.
Maximize productivity by avoiding service level agreement problems by
proactively predicting performance bottlenecks based on detailed enterprise
monitoring data.
Reduce costs by enabling you to identify workload consolidation opportunities
and the formulation of changes.
1.4 Lab architecture
Figure 1-6 describes the architecture, on the lab environment, that we used to
implement IBM Tivoli Performance Analyzer V6.1.
Tivoli Enterprise Monitoring Server
Tivoli Enterprise Portal Server
Tivoli Enterprise Portal
Summarization & Pruning Agent
W arehouse Proxy Agent
Support for UNIX OS Agent
Nice Support for W indows OS Agent
W indows 2003 Support for LINUX OS Agent
AIX
W indows LINUX HP-UX
Machines
Machines Machines Machines
Cairo Helsinki Southend Milan Elpaso Ankara Oslo RX2620
W indows 2003 W indows 2003 W indows 2003 AIX 5.3 AIX 5.3 RedHat 3.0 SUSE 9.0 HP-UX 11
W indows W indows W indows UNIX UNIX LINUX LINUX UNIX
OS Agent OS Agent OS Agent OS Agent OS Agent OS Agent OS Agent OS Agent
Figure 1-6 Lab architecture
Chapter 1. Introduction to capacity and performance management 11
28. Important: You must have a properly functioning IBM Tivoli Monitoring V6.1
Fix Pack 5 environment before you start installing and configuring the IBM
Tivoli Performance Analyzer V6.1.
1.5 Upcoming features of IBM Tivoli Performance
Analyzer
Tivoli Performance Analyzer V6.1.1 will be available in 2008. In this section, we
list some of the planned features for this release.
Important: Note that all planned features about unannounced products are
subject to change.
New domains
Tivoli Performance Analyzer V6.1.1 will introduce several new domains as
follows:
– DB2
– Oracle
– P Series Virtualization - LPAR (logical partition)
– Tivoli Composite Application Manager - Response Time
For all of these domains, there will be new analytical tasks, new situations,
including expert advises and new workspaces.
BIRT reporting
With this release, you can view the results, not only in workspaces, but also in
HTML and PDF reports.
Note: Business Intelligence and Reporting Tools (BIRT) is an open source
Eclipse-based reporting system that integrates with Java/J2EE
applications to produce reports. For more details on BIRT and how it
integrates with IBM Tivoli Monitoring, refer to “Chapter 11 Reporting” of
IBM Tivoli Monitoring Deep Dive and Optimization for Large Scale
Environments, SG24-7443 IBM Redbooks.
12 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
29. Improved task scheduling
The task scheduling function is improved in Tivoli Performance Analyzer
V6.1.1, in terms of performance and usability.
Support for IBM Tivoli Monitoring V6.2
Tivoli Performance Analyzer V6.1.1 will support the new version of IBM Tivoli
Monitoring, Version 6.2.
Chapter 1. Introduction to capacity and performance management 13
30. 14 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
32. “IBM Tivoli Performance Analyzer V6.1 deployment scenarios” on page 28
– Demo Installation
– Small-to-medium installation
– Large installation
“IBM Tivoli Performance Analyzer V6.1 warehouse agent architecture” on
page 36
2.1 IBM Tivoli Performance Analyzer V6.1 components
IBM Tivoli Performance Analyzer V6.1 is an add-on to your existing IBM Tivoli
Monitoring V6.1 deployment. It enables you to manage your systems more
effectively by analyzing the data that IBM Tivoli Monitoring V6.1 agents collect
and by providing meaningful reports about the performance and capacity
management of your systems.
The three main components of the IBM Tivoli Performance Analyzer V6.1 are:
IBM Tivoli Performance Analyzer V6.1 warehouse agent graphical user
interface (sometimes called the IBM Tivoli Performance Analyzer V6.1
warehouse agent configuration tool)
IBM Tivoli Performance Analyzer V6.1 is a single point for configuring the
data to be analyzed and the type of analytical calculations to be performed on
the data. In this graphical user interface, you can create a new task from
scratch, use the existing tasks, or take the predefined tasks as a template and
modify the template to suit your requirements.
IBM Tivoli Performance Analyzer V6.1 warehouse agent
The IBM Tivoli Performance Analyzer V6.1 warehouse agent performs the
analytical calculations on the data stored in the data warehouse database.
The results of the calculations are stored in output tables on Tivoli Enterprise
Monitoring Server (monitoring server). The agent provides the Tivoli
Enterprise Management Agent (monitoring agent) with an interface to deliver
results to the monitoring server, which is the framework to run analytic
modules with the following two types of analytic that is currently provided with
IBM Tivoli Performance Analyzer V6.1:
– Linear trending
Trending enables you to predict and build the future value of collected
data.
– General arithmetic
Arithmetic provides the ability to create new metrics out of existing
collected data.
16 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
33. Predefined content includes workspaces, tasks, and situations. Workspaces
contain charts or tables that show analyzed data. Tasks specify the data to be
analyzed and the analytic calculation method to be used. Situations are tests
that check the analyzed data against a threshold and display an alert icon
when that threshold is exceeded or a value is matched. Using the predefined
content, you can immediately start common performance and capacity
planning tasks. You can modify the predefined content to create reports
specific to your organization.
Note: There is a deployment configuration for initialization of the IBM Tivoli
Performance Analyzer V6.1 warehouse agent. The IBM Tivoli Performance
Analyzer V6.1 warehouse agent runs as a Manage Tivoli Monitoring Service
(MTMS).
2.2 IBM Tivoli Performance Analyzer V6.1 architecture
In this section, we describe the architecture of Tivoli Performance Analyzer V6.1,
which includes IBM Tivoli Monitoring V6.1 that forms the foundation for any
capacity and performance monitoring activity and ships with an integrated data
warehouse database for long term data storage. IBM Tivoli Monitoring V6.1 has
broad support for hundreds of management domains, user specific reports using
the Tivoli Enterprise Portal (portal), and automated problem identification, which
makes it the ideal consolidation point for all monitoring data.
2.2.1 High-level architecture
You need to gain visibility of your resources, and IBM Tivoli Monitoring V6.1
provides agent and agent less monitoring solutions for your key IT systems and
applications.
The IBM Tivoli Monitoring V6.1 foundation is divided into four levels:
Real-time system monitoring
Performance management
Capacity planning
Service level management
IBM Tivoli Monitoring V6.1 builds the foundation of the real-time system
monitoring layer and gathers data across all the systems. Resource, application,
and user-experience data are gathered from all kinds of systems by IBM Tivoli
Monitoring V6.1 agents, other IBM Tivoli products, or external tools that are
directly connected to the IBM Tivoli Monitoring V6.1 product.
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 17
34. IBM Tivoli Performance Analyzer V6.1 supports any IBM Tivoli Monitoring V6.1
data source including IBM Tivoli Composite Application Manager (ITCAM) and
the Universal Agent. It is important to build a historical picture of your systems,
which allows you to understand the typical performance of your infrastructure.
Through the data warehouse database, IBM provides the capabilities to store
long term performance and capacity information. IBM Tivoli Performance
Analyzer V6.1 is then layered on top of IBM Tivoli Monitoring V6.1 to provide the
targeted performance and capacity management capabilities and advanced
resource monitoring.
IBM Tivoli Performance Analyzer V6.1 helps to increase your organization’s
ability to effectively and proactively execute infrastructure management. As a
seamless, integrated part of the Tivoli infrastructure management platform, it
enhances the value of performance management products by adding
forward-looking predictive capabilities to IBM Tivoli Monitoring V6.1, that in turn
provide strong real-time, near-time, and historical data management capabilities.
IBM Tivoli Performance Analyzer V6.1 enables resource management to focus
on future performance issues, providing for proactive operational management,
which allows customers to take a more proactive approach to performance and
capacity management. This resource also enables you to:
Check how your future resources look: tomorrow, next week, and next month.
Identify future IT resources.
Answer the question: Is there enough capacity to get me through next week?
IBM Tivoli Performance Analyzer V6.1 builds a performance baseline and
analyzes historical performance by using the data warehouse database. After
you build up a historical baseline for your systems, start creating forecasts on
future capacity. IBM Tivoli Performance Analyzer V6.1 provides predictive
trending and forecasting capabilities that help you to identify performance and
capacity problems before they affect the business. See Figure 2-1 on page 19 for
more details.
18 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
35. Figure 2-1is an overview of the IBM Tivoli Monitoring V6.1 foundation.
The Business
Service Level Management
Service Level Manager Delivering on Business Commitments
TBSM TSLA Measuring Achievements
Capacity Planning
Capacity Planner HyPerformix IPS Answering “what if” Questions
Application Owner Capacity Manager Consolidating Systems to Save Money
Guaranteeing Business Capacity
Proactive Performance Management
Performance Predicting future Performance
TDW Analyzer Build a Performance Baseline
Operations Analyze Historical Performance
ITM Real-time System Monitoring
Gathering data across your
Agent ITCAM Other… Systems
Full panoramic view of
the Enterprise
External
System
Resource,
User
Application and
User Experience Data
Figure 2-1 IBM Tivoli Monitoring V6.1 foundation
As with all IT management activities these tools fit into a broader people and
process-driven framework. Indeed, no approach is successful without the correct
process discipline, and many capacity management activities break down due to
the poorly coordinated use of tools and people. IBM process managers, and
specifically the IBM Tivoli Capacity Process Manager V1.1, enables
organizations to establish best practices around capacity management and is the
next level of our IBM Tivoli Monitoring V6.1 foundation layers. Maybe in future
releases of the IBM Tivoli Capacity Process Manager and the IBM Tivoli
Performance Analyzer come together.
To gain deeper insight, consider modeling your most important applications to
ask “what-if questions”. IBM has a partnership with HyPerformix to provide
capacity modeling capabilities. Capacity modeling is a powerful tool for
understanding how an application will scale; however, due to the effort involved,
use it on your most important applications and services.
All of these activities should take place in the broader context of Service
Management. It is important that you take a service-centric approach using tools,
such as the portal and IBM Tivoli Business Systems Manager (TBSM), to view
the system capacity in the context of the business services they support, which is
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 19
36. the last level, the service management level, of the IBM Tivoli Monitoring V6.1
foundation layers.
With IBM Tivoli Performance Analyzer V6.1, you can use a single agent for
availability, performance, and capacity monitoring, where the IBM Tivoli
Monitoring V6.1 agent becomes the agent for data collection. Historical capacity
reports, out of the box for distributed systems with no extra effort, are involved
and provide reports in the form of performance summaries and capacity
forecasts. These reports are built in portal workspaces and can be fully
integrated with existing workspaces.
IBM Tivoli Performance Analyzer V6.1 can identify performance and capacity
problems before they become an issue, but also provide intelligent warnings
about future capacity problems in the form of forecast reports and proactive
alerts. It fires situations, alert service, and capacity violations to the central
operation console. So, IBM Tivoli Performance Analyzer V6.1 drives operator
decisions.
In traditional real-time monitoring, simple thresholds provide insight into current
problems and enable status of systems to be clearly divided into OK and not-OK
indicators. It is even more difficult to create warning thresholds. Many users
might set a warning threshold below a critical threshold, but this is of limited use,
especially when resource consumption is rising relatively slowly or quickly. IBM
Tivoli Performance Analyzer V6.1 allows you to set intelligent thresholds based
on time-to-problem criteria, which removes unwanted spurious events and
enables spotting of fast moving and potentially dangerous trends earlier.
20 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
37. Figure 2-2 shows the high-level performance and capacity architecture.
TEP / TBSM Dashboards Alerts & Notification
Drive Operational Decisions Provide Warnings of
Historical
Service and Capacity
Violations
Reports
Capacity Service Trouble
Drive Long
Forecast Status Shooting
Term
Domains
Planning
Application Service
Websphere Performance
SAP Capacity
New Metrics, KPIs
Infrastructure Capacity Metrics Availability
Distributed Performance Trends Service Level
Baseline Goal Analysis
Z
Virtualization Metrics,
Performance KPIs
Analyzer
TSLA TDW
Functional
Operations
Capacity ITM / TEP HyPerformix
What if
SLM
Analysis
External
ITCAM
Agent
Resource, Workload
Application and Models
User Experience Data
Figure 2-2 Performance and capacity management architecture
IBM Tivoli Performance Analyzer V6.1 gives you the ability to simulate situations
and events based on predicted behavior, so that you can bring either operator
intervention or automation into play to resolve problems before they start
impacting operational level agreements or service level agreements.
You can extend IBM Tivoli Performance Analyzer V6.1 to include additional
metrics that stem from any data that IBM Tivoli Monitoring V6.1 gathers, which
enables you to select key operational metrics that provide the best indication of
your customers' operational performance and capacity. IBM Tivoli Performance
Analyzer V6.1 also supports the Universal Agent for customized monitoring.
2.2.2 Detailed architecture
In this section, we take a deeper look into the components of the IBM Tivoli
Performance Analyzer V6.1 solution.
One of the exciting aspects of IBM Tivoli Performance Analyzer V6.1 is that it
allows you to move to a single agent solution to collect availability, performance,
and capacity information. This means that you can begin to consider replacing
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 21
38. your existing capacity and performance management tools with a single IBM
Tivoli Monitoring V6.1 agent, which can already be installed alongside them. By
using a single agent, you can move to a single monitoring vendor solution that
reduces both licensing and maintenance costs.
From an IBM Tivoli Monitoring V6.1 perspective, the IBM Tivoli Performance
Analyzer V6.1 warehouse agent is just another Tivoli Enterprise Management
Agent (monitoring agent) like all the other agents (OS Agents or the DB2®
Agent). The IBM Tivoli Performance Analyzer V6.1 warehouse agent retrieves
data through the monitoring agent interface. Using IBM Tivoli Monitoring V6.1
you can view IBM Tivoli Performance Analyzer V6.1 results in a similar manner
as data collected by any other IBM Tivoli Monitoring V6.1 agents.
Interactions with the monitoring server are streamlined through a separate
ssmira_agent process. There are two main configuration categories:
IBM Tivoli Performance Analyzer V6.1 warehouse agent configuration defines
the connection parameters to the monitoring server, Tivoli Enterprise Portal
Server (portal server), and the data warehouse database.
Analytic tasks configuration determines what the analytics are going to do
(analytic tasks) after the agent connects to the data warehouse database.
22 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
39. Figure 2-3 shows you the detailed architecture of the IBM Tivoli Performance
Analyzer V6.1 product and how it interacts with an existing IBM Tivoli Monitoring
V6.1 environment.
Figure 2-3 Detailed architecture
The Tivoli Enterprise Portal analytic configuration, located in the top-left corner of
Figure 2-3, provides an interface where you can edit analytic tasks. The analytic
configuration dialog, which is spawned from the portal, alters and creates
analytic tasks. All IBM Tivoli Performance Analyzer V6.1 configuration data goes
through the portal server into the portal server database, where IBM Tivoli
Performance Analyzer V6.1 stores analytic- specific configuration:
The IBM Tivoli Performance Analyzer V6.1 warehouse agent retrieves
analytic task information from the portal server database to determine what
kind of analytic to perform.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent needs to
interact with the monitoring server to resolve the managed system lists.
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 23
40. As a result of resolving the managed system list, IBM Tivoli Performance
Analyzer V6.1 forms queries to pull data from the data warehouse database.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent takes the
requested attributes out of the data warehouse database and exposes the
calculated results to the monitoring server. Any results of the analytical flows
through to the monitoring server upon requests through the monitoring agent
interface.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent is implemented as
a monitoring agent; therefore, you can create situations based on the results
produced by the analytical on the lower-left corner of the diagram in Figure 2-3
on page 23. You can create situations using the situation editor. Situations are d
used for managing analytic configuration. You can also configure your
Warehouse Proxy agent to persist results from the IBM Tivoli Performance
Analyzer V6.1 warehouse agent in the data warehouse database in a similar
manner as configuring history collection for other agents.
Note: The IBM Tivoli Performance Analyzer V6.1 warehouse agent is slightly
different because it does not perform data collection like other IBM Tivoli
Monitoring V6.1 agents; instead, IBM Tivoli Performance Analyzer V6.1 uses
data from the data warehouse database that is summarized from the data
collected by other agents, analyzes the data, and presents the results back to
the monitoring server.
2.2.3 Data flows
In this section, we discuss the flow of data and provide the actors for each phase
of the data flow. The data flows are as follows:
The IBM Tivoli Performance Analyzer V6.1 analytic configuration dialog is
used to alter/create analytic tasks. Tasks information is stored in the portal
server database through the portal server itself.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent retrieves
analytic tasks from the portal server database to determine what kind of
analytics to perform.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent takes the
requested attributes out of the data warehouse database.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent interacts with
the monitoring server to resolve the managed system lists, and then uses the
managed systems list to form queries to pull data from the data warehouse
database.
24 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
41. The IBM Tivoli Performance Analyzer V6.1 warehouse agent exposes the
results of the analytic through to the monitoring server.
The Warehouse Proxy agent pulls data collected by other agents through the
monitoring server and stores them in the data warehouse database.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent runs as a
Service within the Manage Tivoli Monitoring Service.
The Summarization and Pruning agent summarizes data from the data
warehouse database. Currently, the analytic modules that are shipped with
the IBM Tivoli Performance Analyzer V6.1 product only use summarized data
from the data warehouse database. In future versions, detailed historical data
will also be supported.
The Tivoli Enterprise Portal situation editor alters or creates situations and
can manage analytic configuration. The situations are stored in the monitoring
server for downloading to the monitoring agent for execution.
Note: The workspaces, not the IBM Tivoli Performance Analyzer V6.1
warehouse agent, use the data flows from the data warehouse database
straight to the portal server; therefore, we did not indicate that data flow.
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 25
42. Figure 2-4 shows the IBM Tivoli Performance Analyzer V6.1 agent as the actor
and all of its interactions with other IBM Tivoli Monitoring V6.1 components.
Trends
Baselines
Derived
Metrics
Capacity Reports and Alerts
Figure 2-4 Data flows in IBM Tivoli Performance Analyzer V6.1
2.2.4 IBM Tivoli Monitoring V6.1 integration
The IBM Tivoli Performance Analyzer V6.1 subsystem is integrated with IBM
Tivoli Monitoring V6.1. The subsystem configuration is carried out using the IBM
Tivoli Performance Analyzer V6.1 graphics user interface tool, which is
accessible from the portal. The reports, which show analyzed data, are displayed
in workspaces.
26 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
43. Figure 2-5 shows how the IBM Tivoli Performance Analyzer V6.1 subsystem fits
within the IBM Tivoli Monitoring V6.1 system.
Figure 2-5 IBM Tivoli Monitoring V6.1 integration
The following steps are used for the IBM Tivoli Monitoring V6.1 integration:
1. An analytical task is defined using the IBM Tivoli Performance Analyzer V6.1
interface on portal.
2. The task is stored in the portal server.
3. The IBM Tivoli Performance Analyzer V6.1 warehouse agent receives
instructions to perform an analytical task at either startup of the IBM Tivoli
Performance Analyzer V6.1 or at the task interval, based on the task
definition.
4. The IBM Tivoli Performance Analyzer V6.1 warehouse agent collects the data
from the data warehouse database.
5. The IBM Tivoli Performance Analyzer V6.1 warehouse agent performs the
analytical calculations, as specified in the task definition.
6. The results of the calculations are stored in the monitoring server as new sets
of attributes.
7. A query, which is created in the Tivoli Enterprise Portal query editor and
stored in the Tivoli Enterprise Portal Server, extracts the required attributes
from the monitoring server.
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 27
44. 8. Tivoli Enterprise Portal Server sends the results of the query to the Tivoli
Enterprise Portal.
9. Tivoli Enterprise Portal Server displays the results in a table or graph format
whenever you select the appropriate IBM Tivoli Performance Analyzer V6.1
workspace.
2.3 IBM Tivoli Performance Analyzer V6.1 deployment
scenarios
In this section, we explore the possible deployment scenarios for IBM Tivoli
Performance Analyzer V6.1. We also provide best practices for deploying and
configuring IBM Tivoli Performance Analyzer V6.1 to work efficiently in the
scenarios.
Our intentions are to provide deployment scenarios that provide a realistic
understanding of architecture design. Use these scenarios, mainly for guidance,
to assist in the planning and deployment strategy that you plan to use for a
production installation. Every deployment strategy is unique, and only proper
planning can guarantee a successful implementation.
We cover three types of scenarios:
Demo Installation
Small-to-medium installation
Large installation
The current supported platforms for the IBM Tivoli Performance Analyzer V6.1
warehouse agent include:
Windows® 2003 Server (32-bit x86)
RedHat Enterprise Linux® 4.0 (32-bit x86)
AIX® 5.1 (PPC)
Note: The list of officially supported platforms for IBM Tivoli Performance
Analyzer V6.1 are in the Tivoli platform and database support matrix. This
matrix is updated monthly at the following Web site:
http://www-1.ibm.com/support/docview.wss?uid=swg21067036
2.3.1 Demo installation on a single machine
The scenario we provide in this section covers a simple-monitoring environment,
where you install all of the components of IBM Tivoli Monitoring V6.1 on a single
28 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
45. machine. This is not a realistic deployment scenario in a production environment.
Normally, we recommend that you install IBM Tivoli Performance Analyzer V6.1
components and IBM Tivoli Monitoring V6.1 components on separate machines.
For demonstration purposes only, we recommend that you install IBM Tivoli
Monitoring V6.1 and IBM Tivoli Performance Analyzer V6.1 onto a single
machine. Figure 2-6 depicts the small topology with one server for IBM Tivoli
Monitoring V6.1 and IBM Tivoli Performance Analyzer V6.1 and a number of
systems with monitoring agents installed.
Figure 2-6 Demo installation scenario
The minimum required components on the machine are:
Tivoli Enterprise Monitoring Server (monitoring server)
Tivoli Enterprise Portal Server (portal server)
Tivoli Enterprise Portal (portal)
Warehouse Proxy agent
Summarization and Pruning agent
IBM Tivoli Performance Analyzer V6.1 warehouse agent
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 29
46. Note: We do not recommend that you run all components of IBM Tivoli
Monitoring V6.1 on a single machine for a production system; instead, install
all components on a single machine only for demonstration purposes.
The system should meet the minimum system requirements to run all
components of IBM Tivoli Monitoring V6.1. We recommend that the system has
at least 128 MB of physical memory available to the IBM Tivoli Performance
Analyzer V6.1 warehouse agent. The single-system installation can support
analytic on approximately 100 managed systems. The approximation is based on
profiled performance tests using out-of-the-box analytic. Use the values that we
state here only as a guideline. The actual number of managed systems that IBM
Tivoli Performance Analyzer V6.1 supports depends on a number of factors,
which include available storage capacity, system memory, the types and number
of analytic tasks, and the amount of input data for the analytic. We advise you to
monitor the memory usage on the IBM Tivoli Performance Analyzer V6.1 system
to ensure that there is sufficient memory available.
2.3.2 Small-to-medium installation (400 agents maximum)
Figure 2-7 on page 31 depicts the recommended deployment scenario for a
typical medium size monitoring environment supporting approximately 500
monitoring agents. Each of the machines in the monitoring environment must be
powerful enough to run the various IBM Tivoli Monitoring V6.1 components.
For a medium size installation, it can be sufficient to have the Warehouse Proxy
agent and the data warehouse database repository on the same system.
The IBM Tivoli Performance Analyzer V6.1 warehouse agent and the
Summarization and Pruning agent rely heavily on sending and receiving data to
and from the data warehouse database; therefore, we always recommend that
you keep these components together. However, the system can take a
performance hit when the two agents are processing data concurrently. Although
there is no absolute way to ensure that summarization and pruning of data does
not occur at the same time as analytic tasks are executed, it is possible to
carefully schedule analytic tasks to minimize this occurrence. Follow these
practices:
Perform summarization and pruning at a one day interval where possible to
reduce the frequency.
Linear trending tasks are data intensive, so do not perform these tasks more
frequent than one day intervals.
30 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
47. Arithmetic tasks are less data intensive; therefore, you can perform these
tasks more frequently.
Start the performance analytic agent at different times to the historical data
collection to prevent an overlap.
The memory requirements for the IBM Tivoli Performance Analyzer V6.1
warehouse agent depends on the amount of data that the agent has to process
and the type of analytic it has to perform. As a rough guide, ensure that there is
at least 512 MB of available memory for up to 500 monitoring agents that run the
out-of-the-box analytic.
Figure 2-7 is an example of a small or medium installation scenario.
Figure 2-7 Small or medium installation scenario
2.3.3 Large installation (2000 agents maximum)
Figure 2-8 on page 32 depicts the recommended deployment scenario for a large
size monitoring environment supporting up to 2,000 monitoring agents.
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 31
48. Note: Future versions of the IBM Tivoli Performance Analyzer will support
more agents.
As with the medium-size installation, we recommend that you install the IBM
Tivoli Performance Analyzer V6.1 warehouse agent on the same machine that
the warehouse database is on.
Figure 2-8 is an example of a large installation scenario.
Figure 2-8 Large installation scenario
Use the following practices:
Set the “run at startup” property to NO on all situations, and selectively turn on
the desired situations. This helps the performance throughput of IBM Tivoli
Monitoring V6.1.
Turn off historical collection on all attribute groups, and selectively turn on the
attribute groups that are required for data analysis. This significantly reduces
the amount of load on the system by the Summarization and Pruning agent.
32 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
49. Set the “run at startup and active property” on all performance analytic tasks
in the IBM Tivoli Performance Analyzer V6.1 configuration graphical user
interface, and selectively activate desired tasks.
Follow the recommended post-install configuration in 3.3, “Installing and
configuring the product” on page 42.
2.3.4 Large data warehouse database
A data warehouse database is considered large if it contains a large number of
managed systems or data points. Large-data warehouse databases can severely
affect the performance of the IBM Tivoli Performance Analyzer V6.1 warehouse
agent. To some extent, large-data warehouse databases can even cause the
execution of the analytic tasks to fail.
There are three recommended parts of configurations that you can perform to
avoid issues with large-data warehouse database deployments:
Increase the log level to obtain more detailed log messages in the event that
database issues occur.
The supported log level from the lowest severity to the highest severity is
debug, information, warning, and fatal. The log level of the IBM Tivoli
Performance Analyzer V6.1 warehouse agent controls the severity of
messages that it logs, particularly the agent log messages with a severity that
is greater than or equal to the configured log level. The default log level is set
to warning, which is the minimum recommended log level.
Tune the data warehouse database to avoid SQL issues.
A data warehouse database that contains a large number of managed
systems can cause SQL queries to fail when there is insufficient heap space
to create and process large SQL statements. Large SQL statements can also
lead to large log files. If the log file size is too small, then excessive roll-over
of these log files can occur.
Tune the agents to handle the heavy data processing that is obtained from
the data warehouse database.
Depending on the platform, IBM Tivoli Performance Analyzer V6.1 ships with
preconfigured minimum and maximum Java™ heap sizes for the java virtual
machine that is within the IBM Tivoli Performance Analyzer V6.1 warehouse
agent. The Java heap size requirement for the IBM Tivoli Performance
Analyzer V6.1 warehouse agent depends on the amount of data in the data
warehouse database and the amount of IBM Tivoli Performance Analyzer
V6.1 tasks that are configured to run. For large amounts of data, it might be
necessary to change the Java heap size to prevent the Java Virtual Machine,
which is within the IBM Tivoli Performance Analyzer V6.1 warehouse agent,
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 33
50. from running out of memory. The following sections provide some best
practices for tuning the Java Virtual Machine, especially for large-data
warehouse databases.
Agent Java heap size tuning
IBM Tivoli Performance Analyzer V6.1 ships preconfigured minimum and
maximum Java heap sizes for the Java Virtual Machine (JVM™) that is within the
IBM Tivoli Performance Analyzer V6.1 warehouse agent. The Java heap size
requirement for the IBM Tivoli Performance Analyzer V6.1 warehouse agent
depends on the amount of data in the data warehouse database and the amount
of analytical tasks that are configured to run. For large amounts of data, you
might need to change the Java heap size to prevent the JVM from running out of
memory.
The minimum and maximum heap size allocated to the JVM is defined by the
-Xms and -Xmx parameter that are passed to the JRE™, which you can
configure using the KPA_JAVA_ARGS parameter that is located in the IBM Tivoli
Performance Analyzer V6.1 warehouse agent configuration file. An example is
as follows:
KPA_JAVA_ARGS=-Xms16m –Xmx1024m
In the above example, the IBM Tivoli Performance Analyzer V6.1 warehouse
agent is allocated a Java heap size of 16 MB, and it is allowed to grow to a
maximum of 1GB. If the –Xms and –Xmx is not defined, then the default value
from the JRE implementation is used.
Modify the heap size only when necessary. Observe the physical memory usage
of the IBM Tivoli Performance Analyzer V6.1 warehouse agent (kpacma). If the
amount of memory starts to approach the max heap size, then increase the
value.
Windows environment
In a Windows environment, the 32-bit architecture imposes a fundamental limit
on an address range of 4 GB. The Windows NT kernel splits this in half (– 2 GB)
for the application and 2 GB for the operating system, which means that the
theoretical limit for the Java heap size is 2 GB.
IBM Tivoli Performance Analyzer V6.1 is shipped without the KPA_JAVA_ARGS
parameter specified. The default physical memory that is initially allocated to the
heap for the IBM Java 142 for Windows is 4 MB. The default maximum physical
memory is half of the available physical memory with a minimum of 16 MB and a
maximum of 2 GB.
34 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
51. To set the default value:
1. Start the Manage Tivoli Enterprise Monitoring Services application.
2. Select the Performance Analyzer from the list of services/applications.
3. Click the Advance submenu from the Actions menu, and select Edit ENV
File.
The notepad application is displayed with the IBM Tivoli Performance
Analyzer V6.1 warehouse agent environment settings file.
4. Add or modify the KPA_JAVA_ARGS line (see the example in the previous
section).
5. Save and close the KPAENV file.
6. Recycle the Performance Analyzer service.
Linux environment
If the -Xms parameter is not specified, the IBM Java142 on Linux allocates 4 MB
to the Java heap. If the –Xmx parameter is not specified, the default value is half
of the available physical memory up to 512 MB.
A maximum heap size of 512 MB is probably too small for a monitoring
environment with approximately 1000 nodes and using the default analytic tasks.
IBM Tivoli Performance Analyzer V6.1 is shipped with a minimum heap size of
16 MB and a maximum of 1024 MB. To modify this value:
1. Edit the <itm_installdir>/config/pa.ini file.
2. Modify the KPA_JAVA_ARGS line as per example above.
3. Save and close the file.
4. Recycle the IBM Tivoli Performance Analyzer V6.1 warehouse agent.
AIX environment
The Java heap size for the 32-bit AIX is configured in the same way as the IBM
Tivoli Performance Analyzer V6.1 warehouse agent on Linux. However, the way
the JVM interacts with the AIX virtual memory is different. The default “Small
Memory Model” for 32-bit AIX applications only allocates one 256 MB data
segment in which it can malloc() data. The 32-bit AIX memory model does have
11 segments of shared memory into which it can mmap() or shmap() data. This
limits the maximum size of the Java heap size to 256 MB.
You can move the boundary between private memory and shared memory to
give more private memory to the application at the expense of reduced shared
memory. The number of data segments that are allocated to a process is
determined by the LDR_CNTRL=MAXDATA=0xn0000000 (n segments)
environment variable.
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 35
52. IBM Tivoli Performance Analyzer V6.1 is shipped with the default
LDR_CNTRL=MAXDATA=0x80000000, giving a maximum of 2 GB to the IBM
Tivoli Performance Analyzer V6.1 warehouse agent. Set this value at least as big
as the max Java heap size setting.
2.4 IBM Tivoli Performance Analyzer V6.1 warehouse
agent architecture
IBM Tivoli Performance Analyzer V6.1 is shipped with an analytic configuration
tool, so that you can add, edit, or remove any analytic tasks. An analytical task
determines which monitored data, stored in the data warehouse database, you
want to analyze, how to analyze it, where to store the results, and how often the
analysis can take place. You can spawn this editor from the portal. Using the
predefined content, you can immediately start common performance and
capacity planning tasks.
The IBM Tivoli Performance Analyzer V6.1 specific workspaces on the portal
contain charts or tables that show analyzed data. A workspace is the working
area of the portal application window. IBM Tivoli Performance Analyzer V6.1
provides predefined workspaces. You are prevented from overwriting or deleting
the predefined workspaces. However, you can use a predefined workspace to
create a new workspace by editing the predefined workspace and then saving it
under a different name.
IBM Tivoli Performance Analyzer V6.1 specific situations are tests that check the
analyzed data against a threshold and display an alert icon when that threshold
is exceeded or when a value is matched. Predefined situations for the IBM Tivoli
Performance Analyzer V6.1 describe system conditions that you might want to
monitor at your site. Use these situations to begin monitoring any managed
object quickly or as models for customizing your own situations. In some cases,
the values assigned to the predefined situations are only examples; therefore,
you must modify the predefined situations to reflect the conditions of your
distributed system.
You can spawn the query editor from the portal as well. Each table view or chart
you see in a workspace shows the result of data that a query requests. A query is
the means by which tables and charts request data from attributes or from an
ODBC-compliant database (for Windows) or a JDBC™-compliant database (for
UNIX and Linux) or through a direct connection from a Tivoli Data Warehouse
database.
36 Getting Started with IBM Tivoli Performance Analyzer Version 6.1
53. Figure 2-9 shows more information about what is installed with the IBM Tivoli
Performance Analyzer V6.1 warehouse agent.
Figure 2-9 IBM Tivoli Performance Analyzer V6.1 warehouse agent architecture
Chapter 2. IBM Tivoli Performance Analyzer V6.1 architecture and deployment scenarios 37
54. 38 Getting Started with IBM Tivoli Performance Analyzer Version 6.1