This article summarizes the key enhancements to VSAM (Virtual Sequential Access Method) from DFSMS 1.3 to DFSMS 1.12. Some major enhancements include empty control area reclamation to improve space reuse, partial release for multi-volume datasets, extended addressing to support larger datasets, and VSAM RLS (Record Level Sharing) support utilizing coupling facility caches to enable data sharing across systems. Other enhancements focused on extending capacity limits and improving functions like system managed buffering.
This document provides an overview of concepts and challenges related to capacity planning in a Parallel Sysplex environment. It discusses z/OS, the Coupling Facility, connectivity options, and references. Key factors that impact performance are identified for the Coupling Facility and z/OS CECs, including processor speed and type, workload characteristics, connectivity configuration, memory size, and distance between systems. Topologies, duplexing, and configuration options are also reviewed. Metrics from RMF reports on subchannels and path busy times are presented.
This document discusses persistent IU pacing, also known as Extended Distance FICON. It aims to demystify how this technology works and its benefits for users. Persistent IU pacing allows for deployment of z/OS Global Mirror over long distances without significant performance impacts. It works by enhancing the IU pacing functionality defined in the FC-SB3/4 standards. This allows for better performance over long distances compared to traditional ESCON configurations.
O documento discute o papel do VSAM em aplicações bancárias e de cartões de crédito, e afirma que o VSAM não é usado em aplicativos do Tribunal de Contas da União. Também fornece conselhos sobre organização de dados, desempenho e funções do VSAM.
The document discusses several topics related to comparing the performance and capacity of different computing systems. It introduces the concept of workload factor which allows comparing the capacity of systems to process the same workload despite architectural differences. Several industry standard benchmarks are described but they are noted to not always match real customer workloads. Real workloads place more stress on system interconnect and cache performance than most benchmarks.
The document provides an overview of encryption:
1) Encryption is the process of encoding information to prevent unauthorized access. It involves transforming plain text into ciphertext using cryptographic algorithms and encryption keys.
2) There are two main types of encryption - symmetric which uses the same key for encryption and decryption, and asymmetric which uses a public/private key pair.
3) When implementing encryption, organizations must determine what data needs protection, how it will be encrypted both in transit and at rest, and how encryption keys will be managed. Failure to properly manage keys could result in permanent data loss.
1. The document discusses new technologies for high performance systems on the x86 platform, including TCP/IP offload (TOE), I/O acceleration technology (IOAT), faster memory standards like DDR2 and FBDIMM, and multi-core processors.
2. It analyzes the performance characteristics of Intel Xeon and AMD Opteron processors, finding that Xeons perform better on bandwidth-intensive and latency-intensive workloads while Opterons sometimes have an advantage on local memory access.
3. Both AMD and Intel are developing new processor architectures like AMD's Barcelona quad-core chip and Intel's quad-core Tulsa/Tigerton chips, which are expected to
1) The document summarizes a keynote speech given by Adam Grummitt on performance, capacity, and service management at CMG Brazil.
2) It provides background on CMG, Metron, Athene, UKCMG, ITIL, and ITSM frameworks.
3) It compares the economies and IT industries of Brazil, Ireland, and the UK and discusses common approaches and challenges in implementing IT service management.
This document discusses predictive statistics and trend analysis techniques. It begins with an introduction to basic statistical concepts like linear regression analysis and examines how to calculate accuracy and the confidence interval of trend predictions. The document cautions that trend predictions assume the future will resemble the past and questions the assumptions behind trend analysis. It provides examples of how to perform linear regression calculations in Excel and SAS and discusses the impact of outliers on the regression fit.
This document provides an overview of concepts and challenges related to capacity planning in a Parallel Sysplex environment. It discusses z/OS, the Coupling Facility, connectivity options, and references. Key factors that impact performance are identified for the Coupling Facility and z/OS CECs, including processor speed and type, workload characteristics, connectivity configuration, memory size, and distance between systems. Topologies, duplexing, and configuration options are also reviewed. Metrics from RMF reports on subchannels and path busy times are presented.
This document discusses persistent IU pacing, also known as Extended Distance FICON. It aims to demystify how this technology works and its benefits for users. Persistent IU pacing allows for deployment of z/OS Global Mirror over long distances without significant performance impacts. It works by enhancing the IU pacing functionality defined in the FC-SB3/4 standards. This allows for better performance over long distances compared to traditional ESCON configurations.
O documento discute o papel do VSAM em aplicações bancárias e de cartões de crédito, e afirma que o VSAM não é usado em aplicativos do Tribunal de Contas da União. Também fornece conselhos sobre organização de dados, desempenho e funções do VSAM.
The document discusses several topics related to comparing the performance and capacity of different computing systems. It introduces the concept of workload factor which allows comparing the capacity of systems to process the same workload despite architectural differences. Several industry standard benchmarks are described but they are noted to not always match real customer workloads. Real workloads place more stress on system interconnect and cache performance than most benchmarks.
The document provides an overview of encryption:
1) Encryption is the process of encoding information to prevent unauthorized access. It involves transforming plain text into ciphertext using cryptographic algorithms and encryption keys.
2) There are two main types of encryption - symmetric which uses the same key for encryption and decryption, and asymmetric which uses a public/private key pair.
3) When implementing encryption, organizations must determine what data needs protection, how it will be encrypted both in transit and at rest, and how encryption keys will be managed. Failure to properly manage keys could result in permanent data loss.
1. The document discusses new technologies for high performance systems on the x86 platform, including TCP/IP offload (TOE), I/O acceleration technology (IOAT), faster memory standards like DDR2 and FBDIMM, and multi-core processors.
2. It analyzes the performance characteristics of Intel Xeon and AMD Opteron processors, finding that Xeons perform better on bandwidth-intensive and latency-intensive workloads while Opterons sometimes have an advantage on local memory access.
3. Both AMD and Intel are developing new processor architectures like AMD's Barcelona quad-core chip and Intel's quad-core Tulsa/Tigerton chips, which are expected to
1) The document summarizes a keynote speech given by Adam Grummitt on performance, capacity, and service management at CMG Brazil.
2) It provides background on CMG, Metron, Athene, UKCMG, ITIL, and ITSM frameworks.
3) It compares the economies and IT industries of Brazil, Ireland, and the UK and discusses common approaches and challenges in implementing IT service management.
This document discusses predictive statistics and trend analysis techniques. It begins with an introduction to basic statistical concepts like linear regression analysis and examines how to calculate accuracy and the confidence interval of trend predictions. The document cautions that trend predictions assume the future will resemble the past and questions the assumptions behind trend analysis. It provides examples of how to perform linear regression calculations in Excel and SAS and discusses the impact of outliers on the regression fit.
VSAM RLS provides record level locking and shared buffering across a sysplex. It uses cross-system coupling facility (CF) structures to maintain buffer coherency. Each system image has a local 31-bit buffer pool and access to a shared 64-bit pool in the SMSVSAM address space. The local pools use an LRU algorithm to manage buffers across different modes depending on pool utilization.
This document provides an overview and summary of the 2019 IBM Systems Technical University to be held in Istanbul, Turkey from February 6-8. It focuses on the latest features of IBM DFSMS including enhancements to encryption, performance, hardware synergy, and usability. Tony Pearson from IBM Systems Lab Services will present on these topics.
VSAM (Virtual Storage Access Method) is an integral part of the MVS operating system that defines the technique for storing and retrieving data. It provides an interface between application programs, the operating system, and disk storage. The document discusses the types of VSAM data sets (entry sequenced, key sequenced, relative record, and linear), how VSAM organizes and stores data using control intervals and control areas, and how Access Method Services (IDCAMS utility) is used to define, load, print, delete and maintain VSAM data sets.
The document provides an overview of VSAM (Virtual Storage Access Method) concepts including:
- VSAM supports three types of data access and provides data protection and cross-system compatibility.
- VSAM datasets can be organized as entry-sequenced, key-sequenced, relative record, variable relative record, or linear.
- VSAM uses catalogs to store metadata and manages data storage using control intervals, control areas, and record clustering.
- Alternate indexes and spanned records allow flexible data access and storage of long records.
The document provides an overview of storage features and enhancements in vSphere 4.0, including a new naming convention using unique device identifiers, the introduction of a Pluggable Storage Architecture (PSA) allowing third-party storage plugins, iSCSI enhancements, and new features like storage vMotion and volume growth.
This document provides best practices for implementing and operating Oracle Real Application Clusters (RAC) with Oracle 10g. It covers planning best practices such as understanding the architecture, setting expectations, defining objectives, and project planning. Implementation best practices include installation, configuration, database creation, and application considerations. Operational best practices address backup/recovery, performance monitoring, and production migrations.
This document provides an overview of administering a storage area network (SAN) using IBM and Cisco equipment. It discusses SAN concepts like zoning, fabrics, multi-pathing, and installing operating systems from the SAN. The specific setup includes an IBM DS4400 storage subsystem with expansion units, a Cisco 9216 fabric switch, and two IBM blade centers with internal QLogic switches. The document aims to educate IT staff on maintaining this SAN configuration using IBM Storage Manager and Cisco Fabric Manager software.
This document provides an overview of implementing Oracle 10g RAC with Automatic Storage Management (ASM) on AIX. It describes ASM, which allows Oracle databases to store data in raw device files that are managed by ASM for striping and mirroring. The document discusses storage and administration considerations for using ASM, tuning parameters, and provides a sample ASM installation process and references.
The document describes the NVRAM Manager module which manages non-volatile data storage in devices like EEPROM or flash memory. The NVRAM Manager provides services for initializing, reading, writing, and controlling non-volatile data blocks. It uses a memory abstraction layer to access the underlying memory devices and presents a uniform addressing scheme to upper layers. The NVRAM Manager also supports different types of data blocks like native, redundant, and dataset blocks.
Ss83 g formation-z-os-vsam-et-access-method-servicesCERTyou Formation
This document describes a 4-day training course on z/OS VSAM and Access Method Services. The course objectives are to understand VSAM data sets and clusters, use Access Method Services commands like IDCAMS to define, load, list, modify and delete catalog entries, code JCL to use VSAM and IDCAMS, and perform tasks like backing up, recovering and reorganizing VSAM and non-VSAM data sets. The target audience is those responsible for managing data sets using IDCAMS and VSAM. Prerequisites include experience with z/OS facilities and JCL. The course will cover various topics in depth including ICF catalogs, IDCAMS commands, buffering, integrity/security,
This document discusses layered volumes in VxVM. Layered volumes tolerate failure better and have greater redundancy than standard volumes. For example, a mirrored-striped layered volume has quicker recovery than a standard mirrored volume since each mirror covers less storage space. The document also discusses different types of layered volumes like mirror-striped and stripe-mirrored, how they provide redundancy and performance advantages over standard volumes, and some of their limitations.
Migrating to SAS Grid into a new operating environment is a complex and challenging task. Especially, when it is across platform (different OS level), different OS Bit sizes and across SAS versions. But with careful planning and use of simple toolset it can be managed with little pain. Some of the key challenges and solution listed in this paper can help towards better understanding of things to consider when working on SAS Grid migration. Finally, do not underestimate the training requirement of your team of programmers on expected changes towards transition on to the SAS Grid.
Automatic Storage Management (ASM) is a feature in Oracle Database 10g that provides a simple way to manage storage for Oracle databases. It spreads database files across storage for optimal performance and integrates file system and volume management. When implementing ASM, best practices include installing ASM in a separate home from the database, using one ASM instance per node, creating separate diskgroups for data and flash recovery areas, and using features like Oracle Managed Files for easier management.
This document provides an overview of distributed key-value stores and Cassandra. It discusses key concepts like data partitioning, replication, and consistency models. It also summarizes Cassandra's features such as high availability, elastic scalability, and support for different data models. Code examples are given to demonstrate basic usage of the Cassandra client API for operations like insert, get, multiget and range queries.
This document provides an overview of distributed key-value stores and summarizes Cassandra in particular. It discusses how distributed key-value stores address the scalability limitations of relational databases by partitioning and replicating data across multiple servers. The document outlines some common distributed key-value store architectures and algorithms, such as Amazon's Dynamo, and describes how Cassandra implements these approaches. Examples of typical applications of distributed key-value stores and an overview of Cassandra's features and code samples are also provided.
I Didn't Know You Could Do That with zOS.pdfMarna Walle
1. The document discusses several new and updated features in recent z/OS releases: controlling GDGE maximum limits, using z/OS UNIX commands on MVS data sets, sending redacted dumps from z/OSMF Incident Log using Data Privacy for Diagnostics, installing individual products using z/OSMF portable software instances, viewing SNA application activity via the Function Registry, managing resource shortages with JES2's Emergency Subsystem, and a planned z/OS UUID capability.
2. The topics provide insights into system usage and improvements for problem diagnosis, software management, and urgent system tasks.
3. Users can benefit from these features to better understand their systems, install software easily, and respond to
Apresentação realizada na reunião de 26 de junho de 2019 do Atlassian User Group de São Paulo. Demonstração de como a interface REST dos produtos da plataforma Atlassian podem ser considerados como alternativas aos APPS e a tarefas manuais pela interface Web. Ao final há um exemplo onde a opção de utilizar a interface REST economizou tempo e dinheiro e entregou o trabalho feito
O documento discute as tecnologias de computação empresarial moderna para cargas de trabalho de negócios. Ele descreve como infraestrutura flexível, escalabilidade não disruptiva, continuidade de negócios e eficiência operacional permitem aplicações corporativas modernas e liberdade através de padrões abertos. A segurança de dados confidenciais é essencial nesse ambiente.
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Similar to VSAM for ever, Alvaro Salla, CMG Brasil 2011
VSAM RLS provides record level locking and shared buffering across a sysplex. It uses cross-system coupling facility (CF) structures to maintain buffer coherency. Each system image has a local 31-bit buffer pool and access to a shared 64-bit pool in the SMSVSAM address space. The local pools use an LRU algorithm to manage buffers across different modes depending on pool utilization.
This document provides an overview and summary of the 2019 IBM Systems Technical University to be held in Istanbul, Turkey from February 6-8. It focuses on the latest features of IBM DFSMS including enhancements to encryption, performance, hardware synergy, and usability. Tony Pearson from IBM Systems Lab Services will present on these topics.
VSAM (Virtual Storage Access Method) is an integral part of the MVS operating system that defines the technique for storing and retrieving data. It provides an interface between application programs, the operating system, and disk storage. The document discusses the types of VSAM data sets (entry sequenced, key sequenced, relative record, and linear), how VSAM organizes and stores data using control intervals and control areas, and how Access Method Services (IDCAMS utility) is used to define, load, print, delete and maintain VSAM data sets.
The document provides an overview of VSAM (Virtual Storage Access Method) concepts including:
- VSAM supports three types of data access and provides data protection and cross-system compatibility.
- VSAM datasets can be organized as entry-sequenced, key-sequenced, relative record, variable relative record, or linear.
- VSAM uses catalogs to store metadata and manages data storage using control intervals, control areas, and record clustering.
- Alternate indexes and spanned records allow flexible data access and storage of long records.
The document provides an overview of storage features and enhancements in vSphere 4.0, including a new naming convention using unique device identifiers, the introduction of a Pluggable Storage Architecture (PSA) allowing third-party storage plugins, iSCSI enhancements, and new features like storage vMotion and volume growth.
This document provides best practices for implementing and operating Oracle Real Application Clusters (RAC) with Oracle 10g. It covers planning best practices such as understanding the architecture, setting expectations, defining objectives, and project planning. Implementation best practices include installation, configuration, database creation, and application considerations. Operational best practices address backup/recovery, performance monitoring, and production migrations.
This document provides an overview of administering a storage area network (SAN) using IBM and Cisco equipment. It discusses SAN concepts like zoning, fabrics, multi-pathing, and installing operating systems from the SAN. The specific setup includes an IBM DS4400 storage subsystem with expansion units, a Cisco 9216 fabric switch, and two IBM blade centers with internal QLogic switches. The document aims to educate IT staff on maintaining this SAN configuration using IBM Storage Manager and Cisco Fabric Manager software.
This document provides an overview of implementing Oracle 10g RAC with Automatic Storage Management (ASM) on AIX. It describes ASM, which allows Oracle databases to store data in raw device files that are managed by ASM for striping and mirroring. The document discusses storage and administration considerations for using ASM, tuning parameters, and provides a sample ASM installation process and references.
The document describes the NVRAM Manager module which manages non-volatile data storage in devices like EEPROM or flash memory. The NVRAM Manager provides services for initializing, reading, writing, and controlling non-volatile data blocks. It uses a memory abstraction layer to access the underlying memory devices and presents a uniform addressing scheme to upper layers. The NVRAM Manager also supports different types of data blocks like native, redundant, and dataset blocks.
Ss83 g formation-z-os-vsam-et-access-method-servicesCERTyou Formation
This document describes a 4-day training course on z/OS VSAM and Access Method Services. The course objectives are to understand VSAM data sets and clusters, use Access Method Services commands like IDCAMS to define, load, list, modify and delete catalog entries, code JCL to use VSAM and IDCAMS, and perform tasks like backing up, recovering and reorganizing VSAM and non-VSAM data sets. The target audience is those responsible for managing data sets using IDCAMS and VSAM. Prerequisites include experience with z/OS facilities and JCL. The course will cover various topics in depth including ICF catalogs, IDCAMS commands, buffering, integrity/security,
This document discusses layered volumes in VxVM. Layered volumes tolerate failure better and have greater redundancy than standard volumes. For example, a mirrored-striped layered volume has quicker recovery than a standard mirrored volume since each mirror covers less storage space. The document also discusses different types of layered volumes like mirror-striped and stripe-mirrored, how they provide redundancy and performance advantages over standard volumes, and some of their limitations.
Migrating to SAS Grid into a new operating environment is a complex and challenging task. Especially, when it is across platform (different OS level), different OS Bit sizes and across SAS versions. But with careful planning and use of simple toolset it can be managed with little pain. Some of the key challenges and solution listed in this paper can help towards better understanding of things to consider when working on SAS Grid migration. Finally, do not underestimate the training requirement of your team of programmers on expected changes towards transition on to the SAS Grid.
Automatic Storage Management (ASM) is a feature in Oracle Database 10g that provides a simple way to manage storage for Oracle databases. It spreads database files across storage for optimal performance and integrates file system and volume management. When implementing ASM, best practices include installing ASM in a separate home from the database, using one ASM instance per node, creating separate diskgroups for data and flash recovery areas, and using features like Oracle Managed Files for easier management.
This document provides an overview of distributed key-value stores and Cassandra. It discusses key concepts like data partitioning, replication, and consistency models. It also summarizes Cassandra's features such as high availability, elastic scalability, and support for different data models. Code examples are given to demonstrate basic usage of the Cassandra client API for operations like insert, get, multiget and range queries.
This document provides an overview of distributed key-value stores and summarizes Cassandra in particular. It discusses how distributed key-value stores address the scalability limitations of relational databases by partitioning and replicating data across multiple servers. The document outlines some common distributed key-value store architectures and algorithms, such as Amazon's Dynamo, and describes how Cassandra implements these approaches. Examples of typical applications of distributed key-value stores and an overview of Cassandra's features and code samples are also provided.
I Didn't Know You Could Do That with zOS.pdfMarna Walle
1. The document discusses several new and updated features in recent z/OS releases: controlling GDGE maximum limits, using z/OS UNIX commands on MVS data sets, sending redacted dumps from z/OSMF Incident Log using Data Privacy for Diagnostics, installing individual products using z/OSMF portable software instances, viewing SNA application activity via the Function Registry, managing resource shortages with JES2's Emergency Subsystem, and a planned z/OS UUID capability.
2. The topics provide insights into system usage and improvements for problem diagnosis, software management, and urgent system tasks.
3. Users can benefit from these features to better understand their systems, install software easily, and respond to
Similar to VSAM for ever, Alvaro Salla, CMG Brasil 2011 (20)
Apresentação realizada na reunião de 26 de junho de 2019 do Atlassian User Group de São Paulo. Demonstração de como a interface REST dos produtos da plataforma Atlassian podem ser considerados como alternativas aos APPS e a tarefas manuais pela interface Web. Ao final há um exemplo onde a opção de utilizar a interface REST economizou tempo e dinheiro e entregou o trabalho feito
O documento discute as tecnologias de computação empresarial moderna para cargas de trabalho de negócios. Ele descreve como infraestrutura flexível, escalabilidade não disruptiva, continuidade de negócios e eficiência operacional permitem aplicações corporativas modernas e liberdade através de padrões abertos. A segurança de dados confidenciais é essencial nesse ambiente.
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Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
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.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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.
1. VSAM NEW (NOT SO) FEATURES – FROM DFSMS 1.3 TO 1.12
Journal of Computer Resource Management
Prepared by the CMG Publications Committee
Journal of Computer Resource Management, a publication of CMG
August, 2011 – Alvaro Guimaraes Salla
This article describes briefly the new features of Virtual Sequential Access Method
(VSAM) a component of DFSMS. It encompasses the most important VSAM
enhancements from DFSMS 1.3 to DFSMS 1.12. The sequencing of the items is
from the most important to the least one, in the author´s opinion.
In the early 1970s, Virtual Sequential Access Method
(VSAM) was introduced by IBM as a collection of three ENHANCEMENTS DESCRIPTION
data set organizations — sequential, indexed, and
direct-access, together with the access method Follows the description of the VSAM enhancements.
software and utilities to be used on the mainframe IBM
operating systems. General functions
The word virtual means only that VSAM was
introduced at approximately the same time as the Empty CA reclaim. Orphan data control areas are
initial IBM virtual storage operating systems OS/VS1 control areas with lots of free space (or totally free)
and OS/VS2. Since then VSAM has been continually located below the HURBA mark. They orphans are
improved and enhanced. created through the following scenario: if at load time
an specific data CA was loaded with records
. belonging to a specific key range and later on the
majority of these records are deleted (and the same
VSAM, AN ACCESS METHOD OF z/OS key value is not re-utilized), as the example of a
timestamp key, the CA is under populated, and this
free space is never reclaimed for records with keys
VSAM is a z/OS access method, that is, a set of
out of such specific and original key range. This set of
programs written by IBM to help application code to
keys (like the timestamp ones) are called creeping
access data through I/O operations. keys, the ones that continues to grow in its numeric
The access method runs under the application task value. Traditionally, VSAM was not designed to
that invokes it using a branch instruction (no PSW process well creeping keys. The solution is to add
change status, such as, problem mode, PSW Key)). these empty CAs to a free CA list (that originally
contains the ones above HURBA) when VSAM
VSAM Functionality realizes the last original record is deleted. This
function applies only to KSDS clusters and to ICF
The major access method functions are: catalogs. It is important to know that for an existing
Blocking by clustering logical records in one VSAM data set, by just enabling CA reclaim, does not
physical block reclaim the previous internal CAs totally free. Only the
Buffering by managing the buffer pool ones that will be totally freed in the future, will be
efficiently reclaimed. This function will even decrease the need
An access method understands the way of defrags.
logical records are organized on the 3390 VSAM Partial Release on multiple volumes data set.
tracks. Then, it is in charge of writing virtual Partial release was only available for sequential data
sets. Later was made available only for VSAM, but
channel programs for accessing such records.
for single volume data sets.
Invoking the I/O driver through an SVC
Ignore DEFINE parameters IMBED, REPLICATE,
(usually SVC 00 – also named EXCP) KEYRANGE, ORDERED options.
Synchronize through the Wait function, the Health Check to detect and identify catalogs with
running task with the end of the I/O operation IMBED and REPLICATE.
(if needed). DFSMS Data Set Separation, to allocate data sets in
Execute I/O error recovery. distinct physical DASD controllers.
2. Media Manager the unique VSAM I/O driver, existing data sets. Through data sharing implemented by
exception for Improved Control Interval Processing the use of coupling facility structures VSAM RLS offers a
(ICIP) high level of continuous availability. Follows a list of RLS
enhancements:
Extending the capacity of VSAM clusters Use of RLS coupling facility cache structure for storing
data sets with CI size bigger than 4KB.
All the following enhancements extends the capacity of Use of RLS coupling facility cache structure for all data
VSAM clusters. or some accordingly with DB manager option
Extended addressability for VSAM KSDS. It increases RLS system-managed duplexing rebuild process for
RBA from 4-byte to 8-byte allowing VSAM cache structures.
components cross the 4-GB limit capacity. For the RLS Coupling Facility structure system-managed
majority of the applications this is done with total duplexing.
compatibility. Extended addressability when Data buffer pools may be allocated above the bar
announced was not available for KSDS VSAM RLS DIAG command to find latch contentions
organization. Enhanced RLS recovery.
SMF performance data of VSAM RLS usage of 64-bit
RLS support of extended addressability of VSAM data buffers
KSDS. As stated at title, Extended Addressability is Speeding up the SMSVSAM address address space
now available for KSDS organization running with with TERMINATESERVER command
RLS buffering. Health Checks for VSAM RLS: indicating latch
Extended addressability for all VSAM data sets contention and a single point of failure (SPOF) in the
More than 255 extents for SMS-managed VSAM data SHCDS
sets. The increase of the maximum number of Support for VSAM striping in RLS mode
extents is a must to avoid frequent defrags. Follows
a list of such limits: System Managed Buffering (SMB) enhancements
o Sequential: 16 per volume.
o Extended-format sequential:123.
o PDS: 16, SMB is a function available to all VSAM data sets types
o PDSE: 123. opened for NSR buffering processing. SMB enables
o Non-system-managed VSAM up to 255
VSAM to determine the optimum number of index and
per component. If System-managed limit
data buffers, as well as the type of buffer management:
removed if DC has extent constraint
removal. LSR (LRU, lots of index buffers, lots of data buffers
o Non-system-managed VSAM can have up containing up to 20% of all data records, no look-ahead)
to 255 extents per stripe. If System- or NSR (discard the ones already processed, just one
managed VSAM the limit removed if DC index buffer, look-ahead). SMB boost the performance
has extent constraint removal specified. mainly of random NSR accesses. The late
o An HFS can have 123 extents on each enhancements are:
volume
Extended Address Volume (EAV) for VSAM data sets
SMB initially for VSAM KSDS clusters.
allowing the allocation of such data sets at cylinders
SMB retry capability for Direct Option (DO) access bias.
beyond 64K addressing at EAV volumes.
SMB support for AIX® files.
Maximum Volume Count, allows volumes be added
Limit the SMB buffer size for Direct Option (DO) at data
dynamically to a VSAM data set without manual
Class SMS construct. It avoids to have up to 20% of
intervention and taking down the application.
all data in data buffers.
Real addresses greater than 2 GB available for all
Enhancement in SMB for DO: buffers for index
VSAM data sets. Allowing pages above the bar
allocated based on SMBVSP value or data set size.
being located at frames above 2-GB.
Data Stripping enhancements
VSAM Data Sharing (RLS)
Usually, in a multi-extent, multi-volume VSAM data set
VSAM RLS is another mode of managing buffer pools,
processed in sequential access, processing does not allow for
which allows any number of applications within your
any type of parallelism for I/O operations among the volumes.
Parallel Sysplex to share your existing VSAM clusters.
This means that when an I/O operation is executed for an
It provides full data integrity (read and write). The extent in a volume, no other I/O activity from the same task or
serialization is done at record level. same data set is scheduled to the other volumes. In a situation
VSAM RLS does not introduce new types of VSAM where I/O is the major bottleneck, and there are available
clusters; rather, it is just a new way of accessing resources in the channel subsystem and controllers, it is
3. a waste of these resources.
Data striping addresses this sequential access performance
problem by adding two modifications to the traditional data
organization:
The records are not placed in key ranges along the
volumes; instead they are organized in stripes.
Parallel I/O operations are scheduled to sequential stripes
(CIs) in different volumes
The enhancements for data striping are:
Data striping for VSAM LDS through a small program
enhancement (SPE)
Data striping and multi-layering for all VSAM data set
VSAM data striping support for data sets with REUSE
attribute
Problem Determination enhancements
Here we have the features that will decrease the mean time
to repair by making the problem determination more
efficient:.
Enhancements in VSAM problem determination:
VDUMP option in F CATALOG command
Trap for data component and Trace enhancements
Dynamic trace for record management