This document discusses Neuron ESB deployment and configuration, including:
- Configuring Deployment Groups to define environment settings for Neuron servers, databases, and endpoints.
- Using Endpoint Hosts for failover clustering within Deployment Groups.
- Maintaining Environmental Variables for dynamic configuration and binding expressions.
- Deploying Neuron ESB solutions using import/export, source control, or the command line.
- Configuring multiple Neuron instances and high availability deployments across multiple machines.
The document discusses Neuron ESB deployment configuration, including:
- Understanding deployment groups which provide environment-specific configuration for Neuron servers, databases, and messaging.
- Using environmental variables to dynamically configure properties for different environments like development, test, and production.
- Deploying Neuron solutions via methods like copying files, or using the import/export functionality in the Neuron Explorer UI or command line.
- Running multiple Neuron instances on a single machine to separate solutions or workloads.
This document provides an overview of the CloudStack architecture and its evolution from a developer's perspective. It describes the key components of CloudStack including hosts, primary storage, clusters, pods, networks, secondary storage, and zones. It also outlines the general architecture abstractions used in CloudStack like resource agents, message bus, and asynchronous job execution. Finally, it details some of the core CloudStack subsystems including the compute subsystem and management server deployment architecture.
Beyond x86: Managing Multi-platform Environments with OpenStackPhil Estes
A talk by Shaun Murakami and Phil Estes at the OpenStack Summit Paris, Fall 2014. We look at real-world scenarios deploying and managing workloads in a multi-platform environment of compute architectures including IBM System z (traditional mainframe), POWER, and Intel architectures. Moving beyond a homogeneous data center to a mix of enterprise architectures adds potential complexities around hypervisor support, deployment capabilities, and management of disparate workloads--of which some might be CPU-centric while others are not.
The document summarizes new storage and high availability features in Exchange Server 2013, including:
- Multiple databases per storage volume to improve storage efficiency and reseed performance.
- Automatic reseed functionality that uses spare volumes to automatically restore redundancy after disk failures without manual intervention.
- Enhanced recovery capabilities to automatically recover from various storage-related failures.
- Improved lagged copy functionality including automatic log playback in certain situations.
- Managed availability framework to more proactively monitor protocol and database health and trigger automated recovery actions or failovers when needed.
- Enhancements to the best copy selection algorithm to consider overall protocol health on servers in addition to replication health.
This document provides an overview and introduction to the LAMP stack, including its components (Linux, Apache, MySQL, PHP) and how they interact. It discusses installing and configuring LAMP on OES Linux, optimizing performance, and available applications. Common LAMP applications and potential migration issues are also briefly mentioned.
Training Slides: 303 - Replicating out of a ClusterContinuent
Watch this 33min training on how to replicate out of your cluster using the standalone Replicator. This covers a walkthrough of what a Cluster Extractor is and what you can do with it, including a demonstration on how to install it.
TOPICS COVERED
- Explore the Cluster Extractor
- Review possible targets
- Discuss Use Cases
- Demonstrate an installation
Managing Enterprise Hadoop Clusters with Apache AmbariJayush Luniya
The document discusses features of the Apache Ambari platform for managing Hadoop clusters, including:
- Ambari allows provisioning, managing, and monitoring Hadoop clusters at scale through features like stacks, blueprints, views, and smart configurations.
- Stacks define Hadoop services and components and their lifecycles. Blueprints allow automated deployment of clusters. Views extend the Ambari UI.
- Other features discussed include rolling upgrades between stack versions, metrics collection and monitoring, and an alerts framework to notify users of cluster issues.
The document provides an overview of OSGi including its history, specifications, framework implementations, and key concepts like bundles and services. OSGi is a modular Java framework that defines specifications for dynamically deploying and updating Java components/modules called bundles. Bundles communicate via published and discovered services. The OSGi framework provides a managed lifecycle for bundles including installation, starting, stopping, and updating.
The document discusses Neuron ESB deployment configuration, including:
- Understanding deployment groups which provide environment-specific configuration for Neuron servers, databases, and messaging.
- Using environmental variables to dynamically configure properties for different environments like development, test, and production.
- Deploying Neuron solutions via methods like copying files, or using the import/export functionality in the Neuron Explorer UI or command line.
- Running multiple Neuron instances on a single machine to separate solutions or workloads.
This document provides an overview of the CloudStack architecture and its evolution from a developer's perspective. It describes the key components of CloudStack including hosts, primary storage, clusters, pods, networks, secondary storage, and zones. It also outlines the general architecture abstractions used in CloudStack like resource agents, message bus, and asynchronous job execution. Finally, it details some of the core CloudStack subsystems including the compute subsystem and management server deployment architecture.
Beyond x86: Managing Multi-platform Environments with OpenStackPhil Estes
A talk by Shaun Murakami and Phil Estes at the OpenStack Summit Paris, Fall 2014. We look at real-world scenarios deploying and managing workloads in a multi-platform environment of compute architectures including IBM System z (traditional mainframe), POWER, and Intel architectures. Moving beyond a homogeneous data center to a mix of enterprise architectures adds potential complexities around hypervisor support, deployment capabilities, and management of disparate workloads--of which some might be CPU-centric while others are not.
The document summarizes new storage and high availability features in Exchange Server 2013, including:
- Multiple databases per storage volume to improve storage efficiency and reseed performance.
- Automatic reseed functionality that uses spare volumes to automatically restore redundancy after disk failures without manual intervention.
- Enhanced recovery capabilities to automatically recover from various storage-related failures.
- Improved lagged copy functionality including automatic log playback in certain situations.
- Managed availability framework to more proactively monitor protocol and database health and trigger automated recovery actions or failovers when needed.
- Enhancements to the best copy selection algorithm to consider overall protocol health on servers in addition to replication health.
This document provides an overview and introduction to the LAMP stack, including its components (Linux, Apache, MySQL, PHP) and how they interact. It discusses installing and configuring LAMP on OES Linux, optimizing performance, and available applications. Common LAMP applications and potential migration issues are also briefly mentioned.
Training Slides: 303 - Replicating out of a ClusterContinuent
Watch this 33min training on how to replicate out of your cluster using the standalone Replicator. This covers a walkthrough of what a Cluster Extractor is and what you can do with it, including a demonstration on how to install it.
TOPICS COVERED
- Explore the Cluster Extractor
- Review possible targets
- Discuss Use Cases
- Demonstrate an installation
Managing Enterprise Hadoop Clusters with Apache AmbariJayush Luniya
The document discusses features of the Apache Ambari platform for managing Hadoop clusters, including:
- Ambari allows provisioning, managing, and monitoring Hadoop clusters at scale through features like stacks, blueprints, views, and smart configurations.
- Stacks define Hadoop services and components and their lifecycles. Blueprints allow automated deployment of clusters. Views extend the Ambari UI.
- Other features discussed include rolling upgrades between stack versions, metrics collection and monitoring, and an alerts framework to notify users of cluster issues.
The document provides an overview of OSGi including its history, specifications, framework implementations, and key concepts like bundles and services. OSGi is a modular Java framework that defines specifications for dynamically deploying and updating Java components/modules called bundles. Bundles communicate via published and discovered services. The OSGi framework provides a managed lifecycle for bundles including installation, starting, stopping, and updating.
JDK 17, the next LTS version of Java, is available and it contains not only new language constructs but also there are many operational improvements like higher performance. We have a look at what a Jakarta EE developer will find interesting, even if you are using Jakarta EE 8.
Learn about these features and improvements including Records, Text blocks, Garbage collection improvements, and monitoring through Flight Recorder in several live demos with Payara Micro. After this session you will be able to use all new shiny features of JDK 17 in your next Java Enterprise application.
This document discusses high availability and site resilience features in Exchange Server 2013 such as DAG architecture, the MSExchangeRepl and MSExchangeDAGMgmt services, the cluster service, crimson channel, witness servers, and dynamic quorum. It describes how these features work together to provide database replication and failover capabilities in Exchange 2013.
The document provides an overview of OSGi Compendium specifications, which establish common services for OSGi frameworks, including specifications for declarative services, event administration, and 41 other specifications covering areas like configuration, HTTP, and device access. It also gives a brief introduction to the declarative services specification, explaining concepts like immediate and delayed components, using services, and the component lifecycle.
1. Apache Ambari is an open-source platform for provisioning, managing and monitoring Hadoop clusters.
2. New features in Ambari 2.4 include additional services, role-based access control, management packs and a Grafana UI for visualizing metrics.
3. Ambari simplifies cluster operations through deploying clusters via blueprints, automated Kerberos integration, host discovery and stack advisors. It also supports upgrading clusters with either rolling or express upgrades.
1) Apache Ambari is an open-source platform for provisioning, managing, and monitoring Hadoop clusters.
2) New features in Ambari 2.4 include additional services, role-based access control, management packs, and Grafana integration.
3) Ambari simplifies cluster operations through an intuitive UI for deploying, securing, monitoring, upgrading, and scaling Hadoop clusters.
This document outlines the process of transitioning a large enterprise from fragmented deployment tools to a standardized configuration management and delivery system using Puppet. It describes designing a scalable Puppet infrastructure with master servers, compilers, PuppetDB and caching of artifacts globally. It also details challenges in integrating Hiera, resilient certificate authorities, scaling PuppetDB and aggregating code from multiple teams into standardized releases.
HBase release managers Lars Hofhansl, Andrew Purtell, Enis Soztutar, Michael Stack, and Liyin Tang jointly present highlights from their releases, and take your questions throughout.
This document provides an introduction to Mule, an open-source enterprise service backbone. It describes some of Mule's core concepts including its use of staged event-driven architecture (SEDA) and Java NIO for efficient I/O operations. Key components of Mule discussed include universal message objects (UMO), endpoints, transports, connectors, routers, filters and transformers. The document emphasizes Mule's declarative approach to specify what operations to perform rather than how to perform them.
The document outlines the key features of Servlet 3.0 including making development easier through the use of annotations, increased pluggability through modular web deployment descriptors and programmatic configuration, support for asynchronous processing to improve performance of blocking operations, and enhanced security. Major changes include simplifying deployment through optional web.xml, dynamic registration of servlets and filters, asynchronous processing APIs, and modular web fragments to simplify framework configuration. The new features aim to enable modern web application styles and increase developer productivity.
My talk at ScaleConf 2017 in Cape Town on some tips and tactics for scaling WordPress, with reference to WordPress.com and the container-based VIP Go platform.
Video of my talk is here: https://www.youtube.com/watch?v=cs0DcY80spw
WLST is a scripting tool that can be used to manage Oracle WebLogic Server domains and instances. It has two modes - offline for configuring domains without a running server, and online for managing running servers. The document discusses using WLST offline to create domains from templates, and online to perform tasks like deployment, configuration, and monitoring of running servers through JMX.
This document summarizes the new features in Ambari 1.4.2, including the ability to move master components like the NameNode to different hosts, add multiple HBase Masters, provide more host controls, and simplify local repository setup. A complete list of changes can be found on the Apache Ambari JIRA.
This document discusses future plans and capabilities for Ambari, an open source project that makes Hadoop clusters easier to operate and manage. Key points include:
- Improved configuration management with host-level overrides, support for HBase multi-master clusters, multi-tenancy with Capacity Scheduler, additional database support, centralized stack upgrades, and Kerberos security management.
- Enhanced job diagnostics with new visualizations, configuration management exceptions, a Capacity Scheduler UI, support for additional databases, HBase heatmaps, and status across services.
- Longer term plans include rack awareness, log aggregation, HDFS rebalancing, HBase compaction, high availability, user roles,
triAGENS SIMPLEVOC is a high performance key-value store that adds functionality beyond memcached such as meta data tagging of keys and values, prefix queries to access subsets of hierarchal data, and extended key values for sorting, filtering and selective deletion. It is offered by triAGENS GmbH, a German company that provides consulting and high performance databases using NoSQL technologies.
Apache Kafka is a distributed publish-subscribe messaging system that was originally created by LinkedIn and contributed to the Apache Software Foundation. It is written in Scala and provides a multi-language API to publish and consume streams of records. Kafka is useful for both log aggregation and real-time messaging due to its high performance, scalability, and ability to serve as both a distributed messaging system and log storage system with a single unified architecture. To use Kafka, one runs Zookeeper for coordination, Kafka brokers to form a cluster, and then publishes and consumes messages with a producer API and consumer API.
Performance Tuning Oracle Weblogic Server 12cAjith Narayanan
The document summarizes techniques for monitoring and tuning Oracle WebLogic server performance. It discusses monitoring operating system metrics like CPU, memory, network and I/O usage. It also covers monitoring and tuning the Java Virtual Machine, including garbage collection. Specific tools are outlined for monitoring servers like the WebLogic admin console, and command line JVM tools. The document provides tips for configuring domain and server parameters to optimize performance, including enabling just-in-time starting of internal applications, configuring stuck thread handling, and setting connection backlog buffers.
This document summarizes best practices for SharePoint farm architecture based on lessons learned from years of SharePoint deployments. It discusses farm architecture options including all-in-one, dedicated SQL, and virtualized farms. It also covers high availability design using network load balancing and SQL database mirroring. Additional topics include logical architecture, hardware and software considerations, the SharePoint installation process, and enabling Kerberos authentication for security.
The document discusses Liberty Management which allows managing many Liberty application servers. It introduces the Liberty Collective which comprises a loosely coupled multi-server management domain using the collectiveController and collectiveMember features. The collectiveController provides member registry, operations proxy and monitoring while collectiveMember publishes member state and application information. Administration APIs like JMX and REST allow managing the collective. Features like clustering, auto-scaling, dynamic routing and deployment tools help manage the servers at scale.
This document provides an overview of WebLogic Server topology, configuration, and administration. It describes key concepts such as domains, servers, clusters, and configuration files. It also discusses administration tools for configuring and managing WebLogic domains including the Configuration Wizard, Administration Console, and WLST scripting tool. The Configuration Wizard is a GUI tool for creating domains from templates, while the Administration Console is a browser-based interface for ongoing domain administration.
The document provides an overview of WebLogic Server topology, configuration, and administration. It describes key concepts such as domains, servers, clusters, Node Manager, and machines. It also covers configuration files, administration tools like the Administration Console and WLST, and some sample configuration schemes for development, high availability, and simplified administration.
This document provides an introduction to Neuron ESB, including its features, tools, architecture, and how to install and configure it. It discusses Neuron ESB's messaging capabilities, services, business process designer, workflow designer, adapters, and other components. The document also includes sections on installing Neuron ESB, its software and system requirements, and demos of key features to familiarize users.
Adapters in Neuron ESB bridge external protocols, databases, applications and transports. They support various message exchange patterns and transactions. Neuron ESB ships with many built-in adapters like FTP, SQL, and RabbitMQ. Adapters are configured through endpoints in the Neuron ESB Explorer where their properties and connection details are set. Metadata harvesting allows browsing target systems to generate schemas and sample messages.
JDK 17, the next LTS version of Java, is available and it contains not only new language constructs but also there are many operational improvements like higher performance. We have a look at what a Jakarta EE developer will find interesting, even if you are using Jakarta EE 8.
Learn about these features and improvements including Records, Text blocks, Garbage collection improvements, and monitoring through Flight Recorder in several live demos with Payara Micro. After this session you will be able to use all new shiny features of JDK 17 in your next Java Enterprise application.
This document discusses high availability and site resilience features in Exchange Server 2013 such as DAG architecture, the MSExchangeRepl and MSExchangeDAGMgmt services, the cluster service, crimson channel, witness servers, and dynamic quorum. It describes how these features work together to provide database replication and failover capabilities in Exchange 2013.
The document provides an overview of OSGi Compendium specifications, which establish common services for OSGi frameworks, including specifications for declarative services, event administration, and 41 other specifications covering areas like configuration, HTTP, and device access. It also gives a brief introduction to the declarative services specification, explaining concepts like immediate and delayed components, using services, and the component lifecycle.
1. Apache Ambari is an open-source platform for provisioning, managing and monitoring Hadoop clusters.
2. New features in Ambari 2.4 include additional services, role-based access control, management packs and a Grafana UI for visualizing metrics.
3. Ambari simplifies cluster operations through deploying clusters via blueprints, automated Kerberos integration, host discovery and stack advisors. It also supports upgrading clusters with either rolling or express upgrades.
1) Apache Ambari is an open-source platform for provisioning, managing, and monitoring Hadoop clusters.
2) New features in Ambari 2.4 include additional services, role-based access control, management packs, and Grafana integration.
3) Ambari simplifies cluster operations through an intuitive UI for deploying, securing, monitoring, upgrading, and scaling Hadoop clusters.
This document outlines the process of transitioning a large enterprise from fragmented deployment tools to a standardized configuration management and delivery system using Puppet. It describes designing a scalable Puppet infrastructure with master servers, compilers, PuppetDB and caching of artifacts globally. It also details challenges in integrating Hiera, resilient certificate authorities, scaling PuppetDB and aggregating code from multiple teams into standardized releases.
HBase release managers Lars Hofhansl, Andrew Purtell, Enis Soztutar, Michael Stack, and Liyin Tang jointly present highlights from their releases, and take your questions throughout.
This document provides an introduction to Mule, an open-source enterprise service backbone. It describes some of Mule's core concepts including its use of staged event-driven architecture (SEDA) and Java NIO for efficient I/O operations. Key components of Mule discussed include universal message objects (UMO), endpoints, transports, connectors, routers, filters and transformers. The document emphasizes Mule's declarative approach to specify what operations to perform rather than how to perform them.
The document outlines the key features of Servlet 3.0 including making development easier through the use of annotations, increased pluggability through modular web deployment descriptors and programmatic configuration, support for asynchronous processing to improve performance of blocking operations, and enhanced security. Major changes include simplifying deployment through optional web.xml, dynamic registration of servlets and filters, asynchronous processing APIs, and modular web fragments to simplify framework configuration. The new features aim to enable modern web application styles and increase developer productivity.
My talk at ScaleConf 2017 in Cape Town on some tips and tactics for scaling WordPress, with reference to WordPress.com and the container-based VIP Go platform.
Video of my talk is here: https://www.youtube.com/watch?v=cs0DcY80spw
WLST is a scripting tool that can be used to manage Oracle WebLogic Server domains and instances. It has two modes - offline for configuring domains without a running server, and online for managing running servers. The document discusses using WLST offline to create domains from templates, and online to perform tasks like deployment, configuration, and monitoring of running servers through JMX.
This document summarizes the new features in Ambari 1.4.2, including the ability to move master components like the NameNode to different hosts, add multiple HBase Masters, provide more host controls, and simplify local repository setup. A complete list of changes can be found on the Apache Ambari JIRA.
This document discusses future plans and capabilities for Ambari, an open source project that makes Hadoop clusters easier to operate and manage. Key points include:
- Improved configuration management with host-level overrides, support for HBase multi-master clusters, multi-tenancy with Capacity Scheduler, additional database support, centralized stack upgrades, and Kerberos security management.
- Enhanced job diagnostics with new visualizations, configuration management exceptions, a Capacity Scheduler UI, support for additional databases, HBase heatmaps, and status across services.
- Longer term plans include rack awareness, log aggregation, HDFS rebalancing, HBase compaction, high availability, user roles,
triAGENS SIMPLEVOC is a high performance key-value store that adds functionality beyond memcached such as meta data tagging of keys and values, prefix queries to access subsets of hierarchal data, and extended key values for sorting, filtering and selective deletion. It is offered by triAGENS GmbH, a German company that provides consulting and high performance databases using NoSQL technologies.
Apache Kafka is a distributed publish-subscribe messaging system that was originally created by LinkedIn and contributed to the Apache Software Foundation. It is written in Scala and provides a multi-language API to publish and consume streams of records. Kafka is useful for both log aggregation and real-time messaging due to its high performance, scalability, and ability to serve as both a distributed messaging system and log storage system with a single unified architecture. To use Kafka, one runs Zookeeper for coordination, Kafka brokers to form a cluster, and then publishes and consumes messages with a producer API and consumer API.
Performance Tuning Oracle Weblogic Server 12cAjith Narayanan
The document summarizes techniques for monitoring and tuning Oracle WebLogic server performance. It discusses monitoring operating system metrics like CPU, memory, network and I/O usage. It also covers monitoring and tuning the Java Virtual Machine, including garbage collection. Specific tools are outlined for monitoring servers like the WebLogic admin console, and command line JVM tools. The document provides tips for configuring domain and server parameters to optimize performance, including enabling just-in-time starting of internal applications, configuring stuck thread handling, and setting connection backlog buffers.
This document summarizes best practices for SharePoint farm architecture based on lessons learned from years of SharePoint deployments. It discusses farm architecture options including all-in-one, dedicated SQL, and virtualized farms. It also covers high availability design using network load balancing and SQL database mirroring. Additional topics include logical architecture, hardware and software considerations, the SharePoint installation process, and enabling Kerberos authentication for security.
The document discusses Liberty Management which allows managing many Liberty application servers. It introduces the Liberty Collective which comprises a loosely coupled multi-server management domain using the collectiveController and collectiveMember features. The collectiveController provides member registry, operations proxy and monitoring while collectiveMember publishes member state and application information. Administration APIs like JMX and REST allow managing the collective. Features like clustering, auto-scaling, dynamic routing and deployment tools help manage the servers at scale.
This document provides an overview of WebLogic Server topology, configuration, and administration. It describes key concepts such as domains, servers, clusters, and configuration files. It also discusses administration tools for configuring and managing WebLogic domains including the Configuration Wizard, Administration Console, and WLST scripting tool. The Configuration Wizard is a GUI tool for creating domains from templates, while the Administration Console is a browser-based interface for ongoing domain administration.
The document provides an overview of WebLogic Server topology, configuration, and administration. It describes key concepts such as domains, servers, clusters, Node Manager, and machines. It also covers configuration files, administration tools like the Administration Console and WLST, and some sample configuration schemes for development, high availability, and simplified administration.
This document provides an introduction to Neuron ESB, including its features, tools, architecture, and how to install and configure it. It discusses Neuron ESB's messaging capabilities, services, business process designer, workflow designer, adapters, and other components. The document also includes sections on installing Neuron ESB, its software and system requirements, and demos of key features to familiarize users.
Adapters in Neuron ESB bridge external protocols, databases, applications and transports. They support various message exchange patterns and transactions. Neuron ESB ships with many built-in adapters like FTP, SQL, and RabbitMQ. Adapters are configured through endpoints in the Neuron ESB Explorer where their properties and connection details are set. Metadata harvesting allows browsing target systems to generate schemas and sample messages.
- Neuron ESB is a hybrid integration platform built on .NET that provides features like messaging, API/SOA gateway capabilities, reporting, connectors to integrate applications, and management tools.
- It uses a topic-based pub/sub messaging engine and includes tools for business process design, workflow design, service brokering, auditing, and monitoring.
- The Neuron ESB runtime hosts the platform's services and loads configuration files to run Neuron ESB solutions, with multiple runtime instances supported on a single machine.
The document discusses how infrastructure configuration is typically modeled across multiple layers including datacenters, zones, logical stages, hostgroups, and their intersections. It introduces Chef as a tool that can be used to model these layers and intersections through primitives like organizations, nodes, roles, environments, data bags, and cookbooks. Examples are given of how policies like restricting SSH access and configuring a mail relay can be implemented in Chef roles and environments to enforce the policies across the infrastructure.
Module 14 Building Custom Adapters ConnectorsCourtney Doeing
The document discusses building custom adapters for Neuron ESB. It describes the adapter framework architecture, including how to define properties, constructor, base methods, send/publish methods, and custom metadata. The objectives are to understand how to build, integrate, deploy, and debug custom adapters. The lab guides users through building a custom adapter, registering it with Neuron ESB, and debugging at design and run time.
This document discusses Chef, an open source infrastructure automation tool. It provides concise summaries in 3 sentences or less:
Chef is a systems and cloud infrastructure automation framework that makes it easy to deploy servers and applications to any physical, virtual, or cloud location. It uses code and templates to abstractly define how infrastructure should be configured. Chef can be used to configure single machines or entire infrastructures for provisioning, configuration, and integration tasks.
The document discusses building custom adapters for Neuron ESB using the Adapter Framework. It covers understanding the adapter framework architecture, creating custom adapter properties and metadata, overriding base methods, debugging adapters, and integrating custom adapters into Neuron ESB Explorer by registering the DLL. The overall goal is to familiarize users with developing custom adapters for integrating third party systems.
I do not have enough context to summarize this document. It contains operational security information about Neuron ESB and does not have a clear summary point.
DevOps with Elastic Beanstalk - TCCC-2014scolestock
This document discusses using AWS Elastic Beanstalk for deploying applications. It describes Elastic Beanstalk as a platform as a service that handles provisioning infrastructure and managing application deployments. It covers how to deploy application versions through the AWS console, command line, IDE plugins, or a CI/CD tool like Jenkins. It also discusses how Elastic Beanstalk uses applications, environments, and versions to model deployments and provides configuration, monitoring, logging and scaling capabilities.
Web Sphere Administration guide – Packaging and Deploying Jee ApplicationsGagandeep Singh
The document provides an overview of WebSphere Application Server (WAS) and Java EE. It discusses WAS packaging, architecture, installation, administration using the admin console, and application deployment. WAS is an application server that implements Java EE standards and provides services for running enterprise applications. It can be installed and configured as a standalone server or in a networked deployment with multiple servers managed centrally. The admin console is a web-based tool for configuring and managing WAS and applications.
Deploying to and Configuring WebSphere Application Server with UrbanCode DeployIBM DevOps
Integrating middleware configuration into your application delivery lifecycle can be difficult and usually requires painful manual processes and constant surveillance.
But, there is hope! IBM UrbanCode Deploy has a new and improved middleware configuration plugin for WebSphere Application Server that provides automated updates to WebSphere as part of the application deployment process. Instead of wrestling with manual changes, join us in this session to learn how this plugin can help you update, manage and configure multiple WebSphere instances automatically and automate application deployments on top every time.
Deploying to and Configuring WebSphere Application Server with UrbanCode DeployClaudia Ring
The document discusses how the WebSphere Application Server - Configure plug-in for IBM UrbanCode Deploy can be used to automate configuration management for WebSphere Application Server. It describes how the plug-in discovers WebSphere configuration, templates it, and applies configuration across environments. The plug-in supports simplifying configuration data, using tokens and snippets, live configuration comparison, and WebSphere migration. A demo is shown promoting dynamic cluster configuration from a development to quality assurance environment. Resources and prerequisites for using the plug-in are also provided.
AWS re:Invent 2016: Development Workflow with Docker and Amazon ECS (CON302)Amazon Web Services
Keeping consistent environments across your development, test, and production systems can be a complex task. Docker containers offer a way to develop and test your application in the same environment in which it runs in production. You can use tools such as the ECS CLI and Docker Compose for local testing of applications; Jenkins and AWS CodePipeline for building and workflow orchestration; Amazon EC2 Container Registry to store your container images; and Amazon EC2 Container Service to manage and scale containers. In this session, you will learn how to build containers into your development workflow and orchestrate container deployments using Amazon ECS. You will hear how Okta runs 30,000 tests per developer commit and releases 10,000 new lines of code each week to production with a CI system based on 100% AWS services. We'll also discuss how Okta uses ECS for parallelized testing in CI and for production microservices in a multi-region, always on cloud service.
Entity framework core v3 from sql to no sqlAndrea Tosato
Entity framework core v3, from SQL to NoSql.
Marco Minerva and Andrea Tosato samples: https://github.com/andreatosato/Entity-FrameworkCore3-from-SQL-2-NoSQL
Better Enterprise Integration With the WSO2 ESB 4.5.1WSO2
The document summarizes new features and enhancements in WSO2 ESB 4.5.1. Key points include:
- WSO2 ESB is a lightweight, high performance and standards compliant ESB with support for routing, orchestration, filtering, transformation and other capabilities.
- New features in 4.5.1 include an EJB mediator, improved XSLT and JSON support, an MSMQ transport, and built-in multi-tenant support.
- The product now uses the WSO2 Carbon platform 4 for its core functionality, providing enhancements like management and worker node separation and improved deployment synchronization.
Managing Docker & ECS Based Applications with AWS Elastic Beanstalk - DevDay ...Amazon Web Services
AWS Elastic Beanstalk (EB) allows developers to deploy and manage applications in the AWS cloud without worrying about the underlying infrastructure. The presentation discusses using EB to deploy single and multi-container Docker applications, including its benefits over manual infrastructure management. It also provides best practices for using EB such as deployment options, auto-scaling, monitoring, and creating custom EB platforms.
You will learn:
• How to use Elastic Beanstalk
• How to run Single and Multi-Container Docker with AWS Elastic Beanstalk
• Best Practices running AWS Elastic Beanstalk
Microsoft is working hard to modernize the .NET Platform. There are great new frameworks and tools coming, such as .NET Core and ASP.NET Core. The amount of new things is overwhelming, with multiple .NET Platforms (.NET Framework, Unified Windows Platform, .NET Core), multiple runtimes (CoreCLR, CLR, CoreRT), multiple compilers (Roslyn, RyuJIT, .NET Native and LLILC) and much more. This session will bring you up to speed on all this new Microsoft technology, focusing on .NET Core.
But, we will also take a look at the first framework implementation on top op .NET Core for the Web: ASP.NET Core 1.0. You will learn about ASP.NET Core 1.0 and how it is different from ASP.NET 4.6. This will include Visual Studio 2015 support, cross-platform ASP.NET Core and command-line tooling for working with ASP.NET Core and .NET Core projects.
After this session you know where Microsoft is heading in the near future. Be prepared for a new .NET Platform.
- The document discusses how to configure logging and troubleshoot issues in Neuron ESB, including setting the logging level, viewing event and trace logs, and using logs to troubleshoot installation problems. It provides details on logging configuration, the types of logs produced, and how to centralize logging. Common installation errors are also covered, along with how to generate more verbose logs to aid in troubleshooting.
The document discusses how to track workflows by viewing workflow instances and details, canceling and restarting workflows, and using persistence points; it also covers hosting workflow endpoints by creating an endpoint that references a workflow definition and topic to process messages, and settings like concurrent workflows and timeouts; the document provides demonstrations of viewing workflow tracking, creating and deploying endpoints, and verifying workflow operations.
This document discusses workflow patterns and correlation in Neuron ESB. It describes the singleton pattern, which restricts workflow instances to one object to coordinate actions. It also covers correlated send/receive patterns using correlation IDs and sets to associate messages. Compensation is discussed as a way to undo completed work in non-transactional systems using compensable activities. The document provides examples of singleton, correlated send/receive, and compensation implementation and recommends hands-on practice through a correlated workflow lab.
Build, Test and Extend Integrated Workflows 3.7StephenKardian
This document discusses building, testing, and extending integrated workflows in Neuron ESB. It covers containers, flow control, exception management, external assemblies, message processing, arguments and variables, custom workflows and activities, building workflows, and debugging workflows. The goals are to understand complex workflow logic, custom activities, flow control, exception handling, external code integration, message transformation, and testing workflows.
Introduction to Long Running Workflows 3.7StephenKardian
This document provides an introduction to long running workflows in Neuron ESB. It discusses workflow types (normal, request-reply, correlated), persistence which allows workflows to restart from their last operation, and workflow endpoints which host workflow definitions and process messages through them. It also provides overviews of the workflow designer, activities for control flow, languages, messaging, web services, XML, errors, and primitives that can be used to implement workflows in Neuron ESB.
This document provides an overview of monitoring capabilities in Neuron ESB, including: auditing messages at the topic level; viewing message history and failed messages; monitoring active sessions and endpoint health; using WMI events and performance counters; and accessing information via the Neuron ESB REST API. It includes goals, a lesson plan, and descriptions of topic-level auditing configuration, the message viewer, republishing strategies, and Windows Management Instrumentation in Neuron ESB. Demo sections are also included to showcase various monitoring features in practice.
Using Adapters and Mediation to Integrate Systems 3.7StephenKardian
This document provides an overview of adapters in Neuron ESB and their use in integrating systems. It describes the different messaging semantics supported by adapters, including publish/subscribe. It provides examples of specific adapters like Microsoft Exchange, File, and ODBC and their supported features. The document also discusses how adapter metadata and policies can be used to affect message properties and failure handling between integrated systems.
The document discusses web security in Neuron ESB. It covers security models, using certificates with service endpoints, and using OAuth. Security models like transport and message are used to secure communication between endpoints. Transport secures the channel, while message secures individual messages. Certificates can be used for transport security by associating a certificate credential with an endpoint. OAuth is used to authenticate REST calls, by creating OAuth providers in Neuron ESB and associating them with service connectors. Custom OAuth providers can also be created and used.
Developing and Hosting SOAP Based ServicesStephenKardian
This document discusses developing and hosting SOAP-based services in Neuron ESB. It covers creating and importing SOAP services, hosting WSDL documents, using WCF bindings and custom bindings/behaviors, and inspecting and writing SOAP headers. The document provides details on the key elements of a WSDL and how to associate a WSDL with a client connector in Neuron ESB. It also reviews how to create SOAP services, import existing SOAP services, and access SOAP headers in business processes.
- Swagger is a specification for describing RESTful APIs in a machine-readable format. Swagger documents stored in the Neuron ESB Explorer Repository can be hosted and associated with REST client connectors.
- The Neuron ESB supports mediating between JSON, XML, and binary formats using process steps. JSON objects can be dynamically converted and JSON templates can be used for transformations.
- HTTP headers play an important role in REST APIs, allowing additional information to be passed with requests and responses. Service policies can manage HTTP status codes.
Introduction to API and Service Hosting 3.7StephenKardian
This document provides an introduction to API and service hosting in Neuron ESB. It discusses service endpoints, which allow Neuron ESB to interact with clients and services. There are two types of service endpoints: client connectors, which publish directly to the bus; and service connectors, which subscribe directly from the bus and route traffic to existing services. The document describes how to create service endpoints, configure the general, binding, security, and other settings for each endpoint type. It also covers service policies, which define retry behavior and timeouts for failed service calls.
This document discusses extending business processes in Neuron ESB by creating custom business process steps. It covers creating a custom process step project, registering custom steps, and using them in business processes. The goals are to understand custom process steps, when to use them, and the business process API for executing processes from code. The lab objectives are to create a custom process and register a custom step with the Neuron ESB Explorer.
Here are the key things you will do in the lab:
1. Build a business process that uses decision and parallel process steps to control flow and process messages concurrently.
2. Add exception handling using try/catch blocks and enrich exceptions with additional context.
3. Reference an external .NET assembly from within a code process step.
4. Access Neuron ESB APIs like the configuration, client context, and publish messages directly.
5. Debug the business process using breakpoints and inspecting variables at each step.
6. Store and retrieve custom properties and state at the message, instance, and global level.
The lab will reinforce how to design complex, dynamic processes that leverage Neuron
This document provides an introduction to business processes in Neuron ESB. It describes the business process designer and library used to build processes. It explains how to test processes and the various flow control, language, message, and service steps available to define process logic and integrate with external systems. Key topics covered include building decision logic, looping, parallel processing, calling external services, manipulating messages, and auditing processes.
This document provides an overview of using repository documents in Neuron ESB, including:
- The repository provides centralized storage and management of documents that can be leveraged by business processes and workflows.
- In business processes and workflows, steps/activities can select documents from the repository instead of requiring the data to be entered manually.
- It demonstrates how to create and use repository documents in business processes, workflows, and code editors.
- The lab objective is to create a document in the repository and use it in a simple business process.
The document provides an overview of the Neuron ESB Client API. It discusses communicating with Neuron ESB using the Client API versus HTTP, the Party API object model for publishing and subscribing, connecting and disconnecting from Neuron ESB, and publishing and receiving messages. It also provides examples of sending messages asynchronously, casting message bodies to .NET objects, and rolling back transactions. The goal is to provide an understanding of how to use the Neuron ESB Client API to integrate .NET applications and communicate with Neuron ESB.
The document provides an introduction to messaging with Neuron ESB. It discusses the goals of learning about Neuron's hierarchical topic-based pub/sub messaging system. The key concepts covered include Neuron messages, topics, parties, conditions, subscriptions, and topic taxonomy. It provides examples and discusses best practices for structuring topic taxonomies and determining an appropriate structure based on business and technical requirements.
The document discusses Enterprise Service Bus (ESB) fundamentals, including what an ESB is, the problems it solves, and its benefits over other integration strategies. An ESB facilitates integration between systems, masks differences between platforms, and improves processes like routing and monitoring. It decouples systems, scales solutions, and allows more configuration than coding during integration.
The document discusses Enterprise Service Bus (ESB) fundamentals, including what an ESB is, the problems it solves, and its benefits over other integration strategies. An ESB facilitates integration between systems, masks differences between platforms, and improves processes like routing and monitoring. It decouples systems, scales solutions, and allows more configuration than coding. Key ESB features include service orchestration, message transformation, transport and routing, mediation, monitoring and reporting, and supporting non-functional requirements and workflows.
The document discusses web security in Neuron ESB. It covers security models, using certificates with service endpoints, and using OAuth. Security models like transport and message are used to secure communication between endpoints. Transport secures the channel, while message secures individual messages. Certificates can be used for transport security by associating a certificate credential with an endpoint. OAuth is used to authenticate REST calls, by creating OAuth providers in Neuron ESB and associating them with service connectors. Custom OAuth providers can also be created and used.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
2. Deployment and Configuration
• Provide an understanding of Neuron ESB Deployment Groups
• Understand the Endpoint Host Deployment Model
• Provide an understanding of Environmental Variables
• Learn Neuron ESB Solution Deployment Options
• Understand High Availability Neuron ESB Requirements
Goals
3. Deployment and Configuration
• Configuring Neuron ESB Deployment Groups
• Configuring Endpoints using Endpoint Hosts
• Creating and Deploying Environmental Variables
• Using Environmental Variables
• Deploying Neuron ESB solutions
• Neuron ESB High Availability Configurations
Lesson Plan
4. Deployment and Configuration
Deployment Groups
• Provides environment-specific information to
the Neuron ESB Runtime and its associated
Endpoint Hosts, such as:
• What values to use for endpoint properties,
business process step properties, database
connection strings, etc.
• What Neuron ESB servers are expected to work
together, sharing the same Neuron ESB solution
• What Neuron ESB Database, MSMQ and Rabbit
MQ servers to use
• Only one Deployment Group can be assigned
to a Neuron ESB Runtime Instance
• All Deployment Groups are defined within a
Neuron ESB Solution
6. Deployment and Configuration
Deployment Groups
• Neuron ESB and MSMQ Servers that will be
used are listed in the Machines tab
• DO NOT USE LOCALHOST - If using
remotely connected Parties
• Use the netbios machine name, fully
qualified domain name or IP address
• Remote parties use the name listed to
know what serve to connect to
• If using MSMQ-based Topics, the MSMQ
Server checkbox must be checked on at least
one machine listed
7. Deployment and Configuration
Deployment Groups
• Rabbit MQ servers are listed in the
RabbitMQ tab
• If Rabbit MQ is not a clustered node set
then ONLY enter 1 Rabbit MQ server
• If working with a clustered node set, enter
all machines in the cluster
• Use vHost to replicate Deployment Group
topology
• E.g. create a vHost for each deployment
group
• Allows multiple deployment groups to
share same Rabbit MQ node, while having
their own isolated exchanges and queues!
8. Deployment and Configuration
Deployment Groups
• Endpoint Hosts
• Provides Failover Clustering
• Deployment Settings tab
• Used to determine what servers
within the Deployment Group
should be used to round robin
execution of endpoints on vs.
what servers should be
configured as failover servers
9. Deployment and Configuration
Environment Variables
Environmental Variables
• Maintained in Neuron ESB
Explorer
• Contains name-value pairs
• Just string values
• Used to dynamically configure
everything that needs data
specific to the runtime server
environment
• Example:
• URL or database connect string
used from a server in QA may
need to be different when
running on a server in
Production
10. Deployment and Configuration
Environment Variables
Environmental Variables
• Each name is stored as an
XML file in the
EnvironmentVariables folder of
a Neuron ESB Solution
• Each Value is stored
ENCRYPTED within their
respective Deployment Group
XML file located in the
DeploymentGroup folder
• Deploying an Environmental
Variable means deploying
BOTH files
11. Deployment and Configuration
Environment Variables
Maintaining Values
• Using the Neuron ESB Explorer
• Pros – easy to use
• Cons – values visible to everyone
• Alternatives
• Values can be maintained in each
esbservice.exe.config file
• File based security can be used in
each environment to limit access
• Can be maintained in Source
Control
• Must Add the “neuron.environment”
section to configSections
• Don’t include other Deployment
group XML files
12. Deployment and Configuration
Environment Variables
Applying Values
• Bindings Expressions Dialog
• Available almost everywhere
• Can set any property using
Environment Variables
• Using C# in any Business Process
or Workflow
• HTTP Client Utility
13. Environmental Variables : Demo
Purpose:
To familiarize users with how to access and apply Environmental Variables
Objectives:
To acquaint users with the following:
• Using Environmental Variables to configure endpoints for different groups
• Accessing Environmental Variables in C#
14. Deployment and Configuration
Deploying ESB Solutions
Folder and file structure
• Deployment Options
• Xcopy
• Repository Documents Won’t
work with Xcopy
• Neuron ESB Runtime will pick up
new entity and process in about
15 seconds
• Up to operations to ensure
dependencies are deployed
• Import/Export
• Supports partial and full
deployment
• Handles selection of
dependencies
• Will import in correct order
• UI or Command Line
• Source Control
15. Deployment and Configuration
Deploying ESB Solutions
Import/Export
• Neuron ESB Explorer
• via the File Menu
• Export
• Prompted to accept dependencies
• Creates an *.esb package file
• Can generate response files (*.rsp
file)
16. Deployment and Configuration
Deploying ESB Solutions
Import/Export
• Neuron ESB Explorer
• via the File Menu
• Import
• Can be used to import pre
3.0 ESB solutions
• Users are prompted to select
a *.esb package file to
import
• Will import into existing
solution
• Must press “Import” button
17. Deployment and Configuration
Import/Export
• Command Line
• The programs are located in the Neuron Instance directory
(e.g. “C:Program FilesNeudesicNeuron ESB v3DEFAULT” if installed in the default location)
• Example syntax using the ExportConfig.exe program:
ExportConfig.exe [options] path-to-directory path-to-esb-file
• Where “path-to-directory” is the ESB configuration folder that you want to export elements from and “path-to-esb-file” is
the path to the file that you want to save the exported elements to.
• Example Usage:
ExportConfig.exe --party ExamplePub “C:NeuronESBConfiguration” “C:Export.esb”
ExportConfig.exe --party Party1 --party Party2 --process Process1 --process Process2 “C:NeuronESBConfiguration”
“C:Export.esb”
• Also will detect and support Response files ( e.g. *.rsp)
ExportConfig @TopicsAndParties.rsp C:MyConfiguration C:TopicsAndParties.esb
Deploying ESB Solutions
18. Deployment and Configuration
Import/Export
• Command Line
• The programs are located in the Neuron Instance directory (e.g. “C:Program FilesNeudesicNeuron ESB v3DEFAULT” if
installed in the default location)
• Example syntax using the ImportConfig.exe program:
ImportConfig.exe [options] path-to-esb-file path-to-directory
• Where “path-to-directory” is the ESB configuration folder that you want to import elements to and “path-to-esb-file” is the
exported esb file that you want to import from.
• Example Usage:
ImportConfig.exe --party ExamplePub “C:ExportedConfig.esb” “C:MyESBConfig”
ImportConfig.exe “C:ExportedConfig.esb” “C:MyESBConfig”
ImportConfig.exe --party Party1 --party Party2 --process Process1 --process Process2 “C:ExportedConfig.esb” “C:
MyESBConfig”
Deploying ESB Solutions
19. Deploying ESB Solutions : Demo
Purpose:
To familiarize users with how to deploy Neuron ESB artifacts to different servers/solutions
Objectives:
To acquaint users with the following:
• Using Copy/Paste
• Using Import/Export UI
20. Deployment and Configuration
Multiple Instances
• Windows NT Service – ESBService.exe
• Multiple instances of runtime supported through
Installer
• Means you can run multiple Configurations on same
box
• Each Neuron ESB Runtime provided an “Instance”
name at install time
• Used to run - multi part solutions on same
machine
• Example: x86 and x64 living on same box
• Solutions could “share” messages if using MSMQ
queued Topics and configured with same Topic
name.
• Great way to take CPU/Thread intensive
endpoints and assign them to a dedicated host
instances
Neuron ESB
Runtime
Financial Processing Solution
Service Integration Gateway
Neuron ESB
Runtime Manufacturing Solution
Neuron ESB
Runtime Service Integration Gateway
Neuron ESB
Runtime Financial Processing Solution
21. Deployment and Configuration
Multiple Instances
• Considerations
• Running Different Solutions
• Port Configurations
• All Solutions by default use
same ports defined in Port tab
of Zone Settings
• Must be unique between
Solutions
• -OR-
• Use TCP Port Sharing
• MSMQ-based Topics
• Topics must be uniquely
named between solutions
• RabbitMQ-based Topics
• No issues
• Client Connector URLs
• Full addresses must be unique
Neuron ESB
Runtime
Financial Processing Solution
Service Integration Gateway
Neuron ESB
Runtime Manufacturing Solution
Neuron ESB
Runtime Service Integration Gateway
Neuron ESB
Runtime Financial Processing Solution
22. Deployment and Configuration
Single Machine Deployment – No High Availability
ActiveMQ MongoDB
ActiveMQ
Adapter
MongoDB
Adapter
In-Memory
Message
Routing
Neuron Server Neuron
Database
23. Deployment and Configuration
Single Machine Deployment – No High Availability
ActiveMQ MongoDB
ActiveMQ
Adapter
MongoDB
Adapter
MSMQ/RabbitMQ
Durable
Message
Routing
Neuron Server Neuron
Database
24. Deployment and Configuration
Multiple Machine Deployment – No High Availability
ActiveMQ
MongoDB
MSMQ/RabbitMQ
Neuron Server
Neuron Server
Neuron
Database
25. Deployment and Configuration
Multiple Machine Deployment –High Availability
SAN
ActiveMQ
MongoDB
Neuron Server
Neuron Server
MSMQ
Server
MSMQ
Server
Cluster
MSMQ
MSMQ
SQL
Cluster
Neuron
Database
Neuron
Database
26. Deployment and Configuration
Multiple Machine Deployment –High Availability
ActiveMQ
MongoDB Neuron Server
Neuron Server
RabbitMQ
Server
RabbitMQ
Server
Cluster/Mirror
RabbitMQ
RabbitMQ
SQL Cluster
Neuron
Database
Neuron
Database
Load
Balancer
27. Deployment and Configuration
Review
• How can you configure the Neuron ESB Runtime to use a specific Deployment Group?
• What elements are contained within a Deployment Group?
• What 2 places can you define Environmental Variables?
• Where are the values for Environmental Variables stored?
• Where can I use Environmental Variables?
• When can I NOT use localhost as a machine name?
• How do Endpoint Hosts use Deployment Groups?
• What can’t I deploy using Xcopy?
• What can I used from the Neuron ESB Explorer to move my changes to a Topic from one environment to another?
• Where can I find deployment command line tools?
Editor's Notes
The goals of this lesion are to provide users with an understanding of Neuron deployment groups; what are they and how can they be used. Teach users about the endpoint host deployment model. Show users how to use environmental variables in conjunction with deployment groups to make their solutions more dynamic based on environment. Take a look at the deployment options for Neuron ESB and finally look at the high availability requirements of Neuron ESB.
To facilitate our goals this lesson has been broken down into six sections to make the information provided easier to understand. The sections that we will be covering are
Configuring Neuron ESB Deployment Groups
Configuring Endpoints using Endpoint Hosts
Creating and Deploying Environmental Variables
Using Environmental Variables
Deploying Neuron ESB solutions
Neuron ESB High Availability Configurations
Deployment groups provide environment specific information to the Neuron ESB runtime and it’s associated endpoint hosts. Each Neuron Instance can be assigned a single deployment group, so for example the development instance of Neuron ESB would be assigned the development deployment group while the production instance of Neuron ESB would be assigned the production deployment group. The deployment group tells the Neuron instance a variety of information such as what machines are included in the environment, development could use ESBDev01 and ESBDev02 while production could use ESBProd01 and ESBProd02, the values to use for environment variables that effect endpoints, business processes and databases etc. Since deployment groups are assigned to the instance of Neuron ESB and only defined in the solution there is no need to make manual changes when moving a solution from one environment to another. If a solution with both a development deployment group and a production deployment group is moved from development to production, you do not need to make any changes to the solution to have production use the proper values as defined. Neuron ESB will automatically correlate its deployment group and the values in the solution.
Defining a deployment group can be done either through the configure server dialog window in the Neuron ESB Explorer, under the Active Deployment Group drop down list, or via the esbDeploymentGroup setting in the appSettings section of the appSettings.config file for the Neuron ESB instance.
Machines that are assigned to a deployment group are listed in the machines tab of the deployment group. You can add additional machines to this list by entering the name of the machine in the open space provided. If you are using remote parties do not use local host to identify the machine as the remote parties will attempt to use their local host and not the local host of the Neuron ESB instance. Rather you should use the netbios machine name, a fully qualified domain name or the IP address of the machine. Once you have your machines listed you can determine which machines are to be used as Neuron ESB servers and which machines are to designated for MSMQ by selecting, or de-selecting, the check box under in the appropriate column.
Servers for RabbitMQ are listed on the RabbitMQ tab of the deployment group. When using RabbitMQ you must list all the servers that are part of the RabbitMQ clustered node set. If you are not using RabbitMQ in a clustered node set then only one RabbitMQ server should be listed on this tab. You never want to use the guest account, which is the default administrative account for RabbitMQ. The guest account is limited in that it cannot access remote installations of RabbitMQ. To address this you will first need to install the RabbitMQ Management Portal (https://www.rabbitmq.com/management.html). This will allow you to create a new administrator account which has permissions to access remote instances of RabbitMQ. Once you have created a new administrator account, you need to instruct Neuron ESB to use that account when interacting with RabbitMQ. Using vHost in RabbitMQ also provides a bit of flexibility as you can create a vHost for each deployment group which in turn allows you have multiple deployment groups share the same RabbitMQ node, while having their own isolated exchanges and queues.
Endpoint hosts can also make use of deployment groups, from the deployment group tab of the endpoint host itself. Here you can select machines in the deployment group to use as primary machines for the endpoint host, and those to use as failover machines should the primary machines be unreachable. Having multiple primary machines will instruct Neuron ESB to use the servers in a round robin style execution, moving between machines to spread the work load out over all the primaries.
Environmental variables are powerful entities that allow you to dynamically control many aspects of your Neuron ESB solution based on the deployment group. They are name value pairs, that contain string only values, and are leveraged in many areas of Neuron ESB such as adapter endpoints, service endpoints, business processes, workflows and even the Neuron ESB database connection. A good example of what an environmental variable can do for a solution is this:
If you are building a solution that reaches out to a service, and that service is deployed to the development, QA and production environments, the URL for that service will not be the same in all environments. Using an environmental variable you can associate the correct URL with the environment (deployment group) to which it belongs. Then inside the service endpoint, instead of putting in a URL you can bind the environmental variable that you created to the URL property. So when you move your solution from development to QA, the Neuron ESB instance will automatically use the URL for QA as defined in the environmental variable, rather than the URL for development, without you having to make a manual change to the URL.
Environmental variables are stored as XML files in the EnvironmentVariables foled of the Neuron ESB solution. All information pertaining to the environmental variable can be found here with the exception of the value for that environmental variable. As each deployment group will have a different value for the environmental variable, the values are stored, encrypted, in the xml file for the deployment group. Only the value for that deployment group is stored in the deployment group xml. This means that if you are deploying an environmental variable from one environment to another, you must deploy both files.
While maintaining environmental variables via the Neuron ESB Explorer is incredibly easy, all values are in plain text and so anyone can see sensitive information if they have access to the Neuron ESB Explorer. An alternative to using the Neuron ESB Explorer is to add the environmental variables to the esbservice.exe.config file. To do this you must add the neuron.environment section to the configSections and then you can add variables to the neuron.environment section of the config file. As this method is used by a single instance of Neuron ESB, you would only add the values for that instances deployment group and not for the other deployment groups in the solution. These values can be scripted into the file during a release process and file based security can be used to ensure that no unauthorized users have access to the files contents.
Once you have defined your environmental variables you need to bind them to the entities for which they apply. Almost every entity in Neuron ESB has a bindings expressions dialog, in which you can set a property to use an environmental variable. Additionally you can access environmental variables from the language editors in both business processes and workflows, as well as in the HTTP client utility available to both business processes and workflows.
The Neuron ESB solution can be deployed to a new environment either via copy and paste deployment, or via the import/export feature of the Neuron ESB explorer.
Copy and paste deployment is a quick and easy way to move the solution from one environment to another, but comes with a couple drawbacks. Repository documents can not be copy and paste deployed, as the meta data for these files is contained in the esb_configuration.xml document of the solution. Like wise dependencies are not automatically detected and deployed so it is up to operations, or the person performing the deployment, to ensure that these dependencies are deployed properly.
The import/export feature of the Neuron ESB explorer provides you the ability to deploy your solution, by exporting it to a .esb package file, which can then be imported on in the target environment. Through the import/export system you can deploy every aspect of the solution for a full deployment, to include repository files, or you can select specific entities of the solution to deploy for a partial deployment. Dependencies for the entities selected are automatically detected by Neuron and you are offered the option to include them in the export as well.
The export function of the Neuron ESB explorer is accessed via the file menu. When selected a dialog window will appear showing all the entities in the solution, separated into the appropriate categories such as Topic or Publisher/Subscriber. You can select specific entities to export, or click the select all button to select every entity in the solution. Once you have selected the entities you wish to export, click the export button to create the .esb package file. Clicking the save button does not produce a .esb file but rather a .rsp file.
A .rsp file is one that contains a list of entities as selected. This allows you to create .rsp files for certain business flows, identifying which entities are part of that business flow, and can then be used via the command line version of export to export only those specific entities.
The import function of the Neuron ESB explorer is accessed via the file menu. Once selected you file explorer window will be brought up so that you can select the .esb file that you would like to import. Selecting the .esb file will bring up the import dialog window where you can select the entities that you would like to import, or you can click the select all button to select all entities that are included in the .esb file (if the .esb file only contains certain entities of solution then only those entities would be imported).
Both the import and export functions of the Neuron ESB Explorer can also be accessed via the command line using the ExportConfig.exe or the ImportConfig.exe. In regards to the ExportConfig.exe you can export either a solution, or specific entities from the solution. To export a full solution you simply need to provide path to the directory of the Neuron ESB solution and the path to the location where the .esb file should be created. If you want to export only specific entities you can provide the type of the entity, the name of the entity, the path to the directory of the Neuron ESB solution and the path to the location where the .esb file should be created. You may also use .rsp files to export the entities registered contained within.
The ImportConfig.exe can import either an entire .esb file or just specific entities from a .esb file. To import an entire .esb file simply provide the path to the .esb file and the path to the location of the Neuron ESB solution to which the .esb file entities should be imported. To import only specific entities from a .esb file you simply need to provide the entity type, entity name, path to the .esb file and the path to location of the Neuron ESB solution to which the .esb file entities should be imported.
Neuron ESB supports multiple instances installed on the same machine. This allows users to separate solutions into intelligent components, rather than stuffing everything into a single solution, allows solutions to share messages if using MSMQ queued topics configured with the same topic name, and is a great way to take CPU or thread intensive endpoints and assign them to a dedicated host. To install multiple instances on the same machine, simply install Neuron ESB a second time giving the instance a different name.
However, when installing multiple instances on the same machine there are some things that you must take into consideration. As Neuron installs each instance with the same default ports all solutions running on the machine must either be configured to use port sharing, or must have their own unique set of ports defined. Solutions not intended to share messages, but using the same MSMQ server must have uniquely named topics, as MSMQ does not identify the instance just the topic name, unlike RabbitMQ which uses a concatenation of the instance and topic names. Client connector URLS must be unique full addresses.
Here we have an example of a single machine deployment with no high availability. Everything is contained on the same machine, but there is no redundancy and should the machine go down everything goes down.
This is an example of a single machine deployment with no high availability, similar to the previous slide. The difference here being that MSMQ or RabbitMQ is installed on the machine as well to allow for durable messaging.
Here we have a multiple machine deployment scenario. However, as MSMQ/RabbitMQ is only on a single machine, same with the Neuron ESB database there are still single points of failure that could take the entire system down.
This is a more optimal scenario. Here we have multiple machines running Neuron ESB, with clustered MSMQ servers and a SQL cluster, eliminating the single point of failure and providing high availability to the enterprise.
Here we have what would be considered the most ideal scenario Multiple machines running Neuron ESB, with mirrored RabbitMQ servers and a SQL cluster, all fed by a load balancer.