This presentation is about -
Overview of JMS,
Overview of JMS servers and Modules,
Configuring JMS Servers and Destinations,
for more details visit -
http://vibranttechnologies.co.in/weblogic-classes-in-mumbai.html
JMS is a Java specification that defines a common way for Java programs to create and send messages asynchronously in a loosely coupled manner, ensuring reliable delivery. It uses providers to implement the messaging functionality and clients interact through connection factories, destinations, and sessions to send and receive messages either point-to-point through queues or publish-subscribe through topics. JMS can also be used with EJB message-driven beans and to transport SOAP messages over JMS.
This document discusses Spring's support for messaging using Java Message Service (JMS). It covers the basics of JMS including destinations, point-to-point and publish-subscribe models. It then describes how to configure ActiveMQ as the JMS broker in Spring, including declaring destinations and using JMS templates for sending and receiving messages. It also discusses converting message payloads, setting default destinations, timeouts and Spring's support for message-driven POJOs.
JMS is a Java messaging specification that defines a common way for Java programs to create, send, receive, and read distributed messages asynchronously in a loosely coupled manner. It provides a unified message API and simplifies portability between clients. Key concepts include connection factories, connections, sessions, message producers, destinations, message consumers, and messages. The JMS provider handles connections and destinations, while clients handle message production and consumption using sessions. ActiveMQ is an open source JMS provider that supports optional message scheduling functionality.
Introduction to JMS and Message-Driven POJOsMatt Stine
This document provides an overview of JMS and message-driven POJOs. It discusses JMS message types, the JMS API, configuration, sending and receiving messages, request/reply messaging, using Spring's JMS support, and implementing message-driven POJOs with Spring. Code examples are provided to demonstrate sending and receiving messages, request/reply messaging, and implementing message-driven POJOs that receive messages. The presentation includes an agenda, introductions to messaging concepts and models, descriptions of each message type, and discussions of Spring's JMS support and the three options for implementing message-driven POJOs with Spring.
This document provides an overview of Java Message Service (JMS) including its goals, benefits, components, messaging models, and how it compares to Java Mail. JMS is a messaging standard that allows applications to communicate asynchronously via messages. It supports two messaging models: point-to-point messaging using queues and publish-subscribe using topics. The document also discusses Spring JMS, which provides a simplified API for JMS, and demonstrates sending and receiving messages using both pure JMS and Spring JMS.
JMS is a Java specification that defines a common way for Java programs to create and send asynchronous, reliable messages. It uses concepts like queues for point-to-point and topics for publish-subscribe messaging. The JMS API allows clients to connect to a JMS provider to produce and consume messages and can integrate with other Java technologies like EJB and JNDI.
This document summarizes a presentation about JMS integration patterns given by Miyuru Wanninayaka and Isuru Ranawaka of WSO2. It discusses JMS terminology, how to configure the JMS transport in WSO2 ESB, common JMS patterns using ESB as a producer and consumer, and upcoming features in WSO2 ESB including dynamic inbound endpoints and support for MQTT and Apache Kafka.
This document provides an overview of JMS (Java Message Service) concepts and ActiveMQ configuration and usage. It discusses JMS programming models, message types, persistence, transactions, ActiveMQ broker configuration including persistence, clustering and monitoring. It also summarizes performance tests comparing ActiveMQ to other messaging systems.
JMS is a Java specification that defines a common way for Java programs to create and send messages asynchronously in a loosely coupled manner, ensuring reliable delivery. It uses providers to implement the messaging functionality and clients interact through connection factories, destinations, and sessions to send and receive messages either point-to-point through queues or publish-subscribe through topics. JMS can also be used with EJB message-driven beans and to transport SOAP messages over JMS.
This document discusses Spring's support for messaging using Java Message Service (JMS). It covers the basics of JMS including destinations, point-to-point and publish-subscribe models. It then describes how to configure ActiveMQ as the JMS broker in Spring, including declaring destinations and using JMS templates for sending and receiving messages. It also discusses converting message payloads, setting default destinations, timeouts and Spring's support for message-driven POJOs.
JMS is a Java messaging specification that defines a common way for Java programs to create, send, receive, and read distributed messages asynchronously in a loosely coupled manner. It provides a unified message API and simplifies portability between clients. Key concepts include connection factories, connections, sessions, message producers, destinations, message consumers, and messages. The JMS provider handles connections and destinations, while clients handle message production and consumption using sessions. ActiveMQ is an open source JMS provider that supports optional message scheduling functionality.
Introduction to JMS and Message-Driven POJOsMatt Stine
This document provides an overview of JMS and message-driven POJOs. It discusses JMS message types, the JMS API, configuration, sending and receiving messages, request/reply messaging, using Spring's JMS support, and implementing message-driven POJOs with Spring. Code examples are provided to demonstrate sending and receiving messages, request/reply messaging, and implementing message-driven POJOs that receive messages. The presentation includes an agenda, introductions to messaging concepts and models, descriptions of each message type, and discussions of Spring's JMS support and the three options for implementing message-driven POJOs with Spring.
This document provides an overview of Java Message Service (JMS) including its goals, benefits, components, messaging models, and how it compares to Java Mail. JMS is a messaging standard that allows applications to communicate asynchronously via messages. It supports two messaging models: point-to-point messaging using queues and publish-subscribe using topics. The document also discusses Spring JMS, which provides a simplified API for JMS, and demonstrates sending and receiving messages using both pure JMS and Spring JMS.
JMS is a Java specification that defines a common way for Java programs to create and send asynchronous, reliable messages. It uses concepts like queues for point-to-point and topics for publish-subscribe messaging. The JMS API allows clients to connect to a JMS provider to produce and consume messages and can integrate with other Java technologies like EJB and JNDI.
This document summarizes a presentation about JMS integration patterns given by Miyuru Wanninayaka and Isuru Ranawaka of WSO2. It discusses JMS terminology, how to configure the JMS transport in WSO2 ESB, common JMS patterns using ESB as a producer and consumer, and upcoming features in WSO2 ESB including dynamic inbound endpoints and support for MQTT and Apache Kafka.
This document provides an overview of JMS (Java Message Service) concepts and ActiveMQ configuration and usage. It discusses JMS programming models, message types, persistence, transactions, ActiveMQ broker configuration including persistence, clustering and monitoring. It also summarizes performance tests comparing ActiveMQ to other messaging systems.
Java Messaging Service (JMS) is a specification that describes a common way for Java programs to create, send, receive and read distributed enterprise messages using a loosely coupled and asynchronous messaging approach. A JMS provider delivers messages to clients as they arrive without requiring the client to request them. JMS supports point-to-point, publish-subscribe, and request-reply messaging domains. The JMS API defines programming elements like connections, sessions, producers and consumers that Java programs use to participate in messaging.
This document provides an overview of Java Message Service (JMS) and how to use it. JMS allows applications to asynchronously and reliably send and receive messages. It uses Java Naming and Directory Interface (JNDI) to lookup connection information instead of hardcoding addresses. Sample code demonstrates how to publish messages to a topic and subscribe to receive them. JMS provides loose coupling between applications and supports point-to-point and publish-subscribe messaging models.
Overview of JMS messaging API.
JMS (Java Messaging Service) is an API for asynchronous message based communication between Java based applications.
JMS implementations (instances that implement the JMS API) are called JMS providers.
JMS defines two messaging domains. Point-to-point queues are typically used between one or multiple message senders and a single message receiver.
Topics are multi-point queues where messages are distributed to multiple receivers. As such topics resemble a black board.
Like many other message oriented middleware technologies, JMS provides advanced functions like persistent message delivery mode or different message acknowledgment modes.
Additionally, messages can be sent and received in a transacted mode thus ensuring that either all or no messages are sent and received.
JMS integrates into EJB (Enterprise Java Beans) through message driven beans.
The document discusses Java Message Service (JMS) API which allows applications to asynchronously communicate by creating, sending, receiving and reading messages. It describes JMS architecture including administered objects like connection factories and destinations that clients look up, connections to providers, sessions for producing and consuming messages, and message producers and consumers. It also covers point-to-point and publish/subscribe messaging domains and how messages can be consumed synchronously or asynchronously.
This document provides an introduction to the Java Message Service (JMS) API. It defines JMS as a Java specification that allows for asynchronous and reliable messaging between distributed applications. It outlines key JMS concepts like providers, clients, producers, consumers, queues, topics and message types. It also discusses when JMS would be applicable and provides overviews of popular JMS implementations including ActiveMQ, HornetQ, WebSphere MQ and Apache Qpid.
This document discusses message-oriented middleware (MOM). It begins with an introduction to MOM, explaining why it was developed and what it is. Then it covers some common MOM specifications including JMS, AMQP, STOMP, and MQTT. The next section discusses core MOM technologies like transport methods, persistence, and transactions. Advanced features of MOM such as high availability, performance, administration, and plugins are then outlined. Finally, the document briefly introduces alternative messaging technologies like ZeroMQ and cloud messaging before listing references for further information.
This document provides an overview of different JMS message types including TextMessage, ObjectMessage, MapMessage, ByteMessage, and StreamMessage. It describes key features of each message type such as carrying text payloads for TextMessage, serializable Java objects for ObjectMessage, and name-value pairs for MapMessage. Examples are given showing how to set and get content from messages of each type using the appropriate JMS API methods.
Enterprise Messaging With ActiveMQ and Spring JMSBruce Snyder
The document discusses ActiveMQ, an open source message broker. It provides an overview of installing and configuring ActiveMQ, and describes how to use Spring JMS with ActiveMQ for both synchronous and asynchronous messaging. Key ActiveMQ features like persistence, clustering, security, messaging patterns, and consumer options are also summarized.
JavaOne 2016
JMS is pretty simple, right? Once you’ve mastered topics and queues, the rest can appear trivial, but that isn’t the case. The queuing system, whether ActiveMQ, OpenMQ, or WebLogic JMS, provides many more features and settings than appear in the Java EE documentation. This session looks at some of the important extended features and configuration settings. What would you need to optimize if your messages are large or you need to minimize prefetching? What is the best way to implement time-delayed messages? The presentation also looks at dangerous bugs that can be introduced via simple misconfigurations with pooled beans. The JMS APIs are deceptively simple, but getting an implementation into production and tuned correctly can be a bit trickier.
The document discusses message-driven beans and Java Messaging Service (JMS). It defines synchronous and asynchronous messaging and explains the need for messaging in software design. It describes JMS elements like the messaging server, clients, and destinations. It provides examples of configuring topic and queue destinations. It also provides examples of message-driven beans that can consume from topics and queues, and JMS client code that acts as producers to topics and queues.
This document provides an overview and instructions for a sample that demonstrates starting BPM processes from JMS messages in two scenarios. The first scenario uses a JMS message matching the process WSDL to start the process. The second scenario uses a business event message transformed via a mediator. The sample includes a sending process that produces JMS messages and a receiving process configured with JMS adapters and a mediator. Instructions are provided for deploying the composites and queues required to run the sample.
This document contains contact information and a summary of work experience for Swetha Gangarapu. She has over 6 years of experience working with EAI middleware like WebSphere MQ, WebSphere Message Broker, and WebSphere Application Server. Her roles have included development, administration, and support of these middleware platforms. She has strong skills in message brokering, transformations using ESQL, and integration of applications using message-based architectures.
JMS is a Java API that allows applications to asynchronously and loosely couple send and receive messages. It supports both point-to-point and publish/subscribe messaging patterns. A JMS message contains a header, properties, and payload. Properties provide metadata about the message while the payload contains the actual data. Common JMS implementations include ActiveMQ, RabbitMQ, and IBM MQ.
Continuous delivery is an agile methodology that aims to reduce the cost, time, and risk of delivering software by frequently releasing small, incremental changes. The key goals are to continuously build the right features, reduce lead time, reduce costs through optimization and automation, and reduce risk through resilience and small increments. Continuous delivery utilizes a deployment pipeline to fully automate building, deploying, testing and releasing software. This allows organizations to reliably deliver changes involving a single line of code. It also reduces risk by failing fast and treating every version as a release candidate. Continuous delivery challenges teams to avoid anti-patterns like code freezes, manual processes, and exceptions to the pipeline for releases.
This document discusses principles of code structural analysis. It covers package cohesion principles like release reuse equivalency and common closure principle. It also discusses package coupling principles like the acyclic dependencies principle and abstractness of a package. Class design principles like the SOLID principles of dependency inversion and interface segregation are also summarized. It provides an example of analyzing structure using metrics like package instability and introduces the tool Stan4j for structural analysis.
Lessons Learned on Uber's Journey into MicroservicesC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2a6wCn2.
Emily Reinhold shares stories of how a rapid growth company broke up a monolith into a series of microservices, with practices and lessons that can save time and money. Filmed at qconnewyork.com.
Emily Reinhold is a software engineer on Uber's Money team. Since joining Uber in early 2015, Emily has been involved in many aspects of money, including charging riders and paying driver partners. She has recently contributed to the effort to dismantle Uber's monolith while building its microservice architecture.
Software developers spend most of their time working with code on literal level. Unfortunately, vast amount of design flaws hides behind hundreds of interrelated packages, classes and methods, destroying your system deliberately. In this talk will supply you with knowledge necessary to manage complexity of your logical design from theoretical, practical and tooling perspectives. Time to keep architecture in predictable and manageable state!
Are you doing all you can to further your career as a software developer? With today's rapidly changing and ever-expanding technologies, being successful requires more than technical expertise. In this talk Eduards outlines the practices used by software craftsmen to maintain their professional ethics and simple Dos and Don'ts for teams who want to be considered professional craftsmen.
This document provides an overview of basic Oracle WebLogic Server concepts such as domains, servers, clusters, and node managers. It describes how a domain contains servers and clusters, and how there is one administrative server that controls start/stop of managed servers. The administrative server manages deployment and resources, while managed servers are independent instances that synchronize configuration with the administrative server. A node manager is used to start/stop managed servers on physical machines. Clusters provide scalability through load balancing and high availability through failover. The document also notes WebLogic compatibility with Java EE specifications like EJB and JPA.
An illustrated guide to microservices (ploneconf 10 21-2016)Ambassador Labs
A (simpler) Microservices Definition
A Microservice is a unit of business logic.
A Microservice application is a distributed composition of business logic via services.
Java Messaging Service (JMS) is a specification that describes a common way for Java programs to create, send, receive and read distributed enterprise messages using a loosely coupled and asynchronous messaging approach. A JMS provider delivers messages to clients as they arrive without requiring the client to request them. JMS supports point-to-point, publish-subscribe, and request-reply messaging domains. The JMS API defines programming elements like connections, sessions, producers and consumers that Java programs use to participate in messaging.
This document provides an overview of Java Message Service (JMS) and how to use it. JMS allows applications to asynchronously and reliably send and receive messages. It uses Java Naming and Directory Interface (JNDI) to lookup connection information instead of hardcoding addresses. Sample code demonstrates how to publish messages to a topic and subscribe to receive them. JMS provides loose coupling between applications and supports point-to-point and publish-subscribe messaging models.
Overview of JMS messaging API.
JMS (Java Messaging Service) is an API for asynchronous message based communication between Java based applications.
JMS implementations (instances that implement the JMS API) are called JMS providers.
JMS defines two messaging domains. Point-to-point queues are typically used between one or multiple message senders and a single message receiver.
Topics are multi-point queues where messages are distributed to multiple receivers. As such topics resemble a black board.
Like many other message oriented middleware technologies, JMS provides advanced functions like persistent message delivery mode or different message acknowledgment modes.
Additionally, messages can be sent and received in a transacted mode thus ensuring that either all or no messages are sent and received.
JMS integrates into EJB (Enterprise Java Beans) through message driven beans.
The document discusses Java Message Service (JMS) API which allows applications to asynchronously communicate by creating, sending, receiving and reading messages. It describes JMS architecture including administered objects like connection factories and destinations that clients look up, connections to providers, sessions for producing and consuming messages, and message producers and consumers. It also covers point-to-point and publish/subscribe messaging domains and how messages can be consumed synchronously or asynchronously.
This document provides an introduction to the Java Message Service (JMS) API. It defines JMS as a Java specification that allows for asynchronous and reliable messaging between distributed applications. It outlines key JMS concepts like providers, clients, producers, consumers, queues, topics and message types. It also discusses when JMS would be applicable and provides overviews of popular JMS implementations including ActiveMQ, HornetQ, WebSphere MQ and Apache Qpid.
This document discusses message-oriented middleware (MOM). It begins with an introduction to MOM, explaining why it was developed and what it is. Then it covers some common MOM specifications including JMS, AMQP, STOMP, and MQTT. The next section discusses core MOM technologies like transport methods, persistence, and transactions. Advanced features of MOM such as high availability, performance, administration, and plugins are then outlined. Finally, the document briefly introduces alternative messaging technologies like ZeroMQ and cloud messaging before listing references for further information.
This document provides an overview of different JMS message types including TextMessage, ObjectMessage, MapMessage, ByteMessage, and StreamMessage. It describes key features of each message type such as carrying text payloads for TextMessage, serializable Java objects for ObjectMessage, and name-value pairs for MapMessage. Examples are given showing how to set and get content from messages of each type using the appropriate JMS API methods.
Enterprise Messaging With ActiveMQ and Spring JMSBruce Snyder
The document discusses ActiveMQ, an open source message broker. It provides an overview of installing and configuring ActiveMQ, and describes how to use Spring JMS with ActiveMQ for both synchronous and asynchronous messaging. Key ActiveMQ features like persistence, clustering, security, messaging patterns, and consumer options are also summarized.
JavaOne 2016
JMS is pretty simple, right? Once you’ve mastered topics and queues, the rest can appear trivial, but that isn’t the case. The queuing system, whether ActiveMQ, OpenMQ, or WebLogic JMS, provides many more features and settings than appear in the Java EE documentation. This session looks at some of the important extended features and configuration settings. What would you need to optimize if your messages are large or you need to minimize prefetching? What is the best way to implement time-delayed messages? The presentation also looks at dangerous bugs that can be introduced via simple misconfigurations with pooled beans. The JMS APIs are deceptively simple, but getting an implementation into production and tuned correctly can be a bit trickier.
The document discusses message-driven beans and Java Messaging Service (JMS). It defines synchronous and asynchronous messaging and explains the need for messaging in software design. It describes JMS elements like the messaging server, clients, and destinations. It provides examples of configuring topic and queue destinations. It also provides examples of message-driven beans that can consume from topics and queues, and JMS client code that acts as producers to topics and queues.
This document provides an overview and instructions for a sample that demonstrates starting BPM processes from JMS messages in two scenarios. The first scenario uses a JMS message matching the process WSDL to start the process. The second scenario uses a business event message transformed via a mediator. The sample includes a sending process that produces JMS messages and a receiving process configured with JMS adapters and a mediator. Instructions are provided for deploying the composites and queues required to run the sample.
This document contains contact information and a summary of work experience for Swetha Gangarapu. She has over 6 years of experience working with EAI middleware like WebSphere MQ, WebSphere Message Broker, and WebSphere Application Server. Her roles have included development, administration, and support of these middleware platforms. She has strong skills in message brokering, transformations using ESQL, and integration of applications using message-based architectures.
JMS is a Java API that allows applications to asynchronously and loosely couple send and receive messages. It supports both point-to-point and publish/subscribe messaging patterns. A JMS message contains a header, properties, and payload. Properties provide metadata about the message while the payload contains the actual data. Common JMS implementations include ActiveMQ, RabbitMQ, and IBM MQ.
Continuous delivery is an agile methodology that aims to reduce the cost, time, and risk of delivering software by frequently releasing small, incremental changes. The key goals are to continuously build the right features, reduce lead time, reduce costs through optimization and automation, and reduce risk through resilience and small increments. Continuous delivery utilizes a deployment pipeline to fully automate building, deploying, testing and releasing software. This allows organizations to reliably deliver changes involving a single line of code. It also reduces risk by failing fast and treating every version as a release candidate. Continuous delivery challenges teams to avoid anti-patterns like code freezes, manual processes, and exceptions to the pipeline for releases.
This document discusses principles of code structural analysis. It covers package cohesion principles like release reuse equivalency and common closure principle. It also discusses package coupling principles like the acyclic dependencies principle and abstractness of a package. Class design principles like the SOLID principles of dependency inversion and interface segregation are also summarized. It provides an example of analyzing structure using metrics like package instability and introduces the tool Stan4j for structural analysis.
Lessons Learned on Uber's Journey into MicroservicesC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2a6wCn2.
Emily Reinhold shares stories of how a rapid growth company broke up a monolith into a series of microservices, with practices and lessons that can save time and money. Filmed at qconnewyork.com.
Emily Reinhold is a software engineer on Uber's Money team. Since joining Uber in early 2015, Emily has been involved in many aspects of money, including charging riders and paying driver partners. She has recently contributed to the effort to dismantle Uber's monolith while building its microservice architecture.
Software developers spend most of their time working with code on literal level. Unfortunately, vast amount of design flaws hides behind hundreds of interrelated packages, classes and methods, destroying your system deliberately. In this talk will supply you with knowledge necessary to manage complexity of your logical design from theoretical, practical and tooling perspectives. Time to keep architecture in predictable and manageable state!
Are you doing all you can to further your career as a software developer? With today's rapidly changing and ever-expanding technologies, being successful requires more than technical expertise. In this talk Eduards outlines the practices used by software craftsmen to maintain their professional ethics and simple Dos and Don'ts for teams who want to be considered professional craftsmen.
This document provides an overview of basic Oracle WebLogic Server concepts such as domains, servers, clusters, and node managers. It describes how a domain contains servers and clusters, and how there is one administrative server that controls start/stop of managed servers. The administrative server manages deployment and resources, while managed servers are independent instances that synchronize configuration with the administrative server. A node manager is used to start/stop managed servers on physical machines. Clusters provide scalability through load balancing and high availability through failover. The document also notes WebLogic compatibility with Java EE specifications like EJB and JPA.
An illustrated guide to microservices (ploneconf 10 21-2016)Ambassador Labs
A (simpler) Microservices Definition
A Microservice is a unit of business logic.
A Microservice application is a distributed composition of business logic via services.
Java has a solid Memory Model, and there are a couple of excellent libraries for concurrency. When you start working with threads however, pitfalls start appearing - especially if the program is supposed to be fast and correct. This session shows proven solutions for some typical problems, showing how to view program code from a concurrency perspective: Which threads share which data, and how? How to reduce the impact of locks? How to avoid them altogether - and when is that worth it?
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2gron5O.
Neha Narkhede talks about the experience at LinkedIn moving from batch-oriented ETL to real-time streams using Apache Kafka and how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data. She covers some of the challenges of scaling Kafka to hundreds of billions of events per day at Linkedin, supporting thousands of engineers, etc. Filmed at qconsf.com.
Neha Narkhede is co-founder and CTO at Confluent, a company backing the popular Apache Kafka messaging system. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Apache Kafka and Apache Samza. She is one of the initial authors of Apache Kafka and a committer and PMC member on the project.
Engineering and Autonomy in the Age of Microservices - Nic Benders, New RelicAmbassador Labs
Nic Benders, New Relic's Chief Architect discusses how New Relic re-organized their engineering teams around microservices in order to achieve greater scale and efficiency
Microservices Standardization - Susan Fowler, StripeAmbassador Labs
Susan Fowler of Stripe and Uber and Author of Production-Ready Microservices (O'Reilly) presents about how to standardize your microservices to make them production ready at the 2017 Microservices.com Practitioner Summit.
This document discusses troubleshooting Oracle WebLogic performance issues. It outlines various tools that can be used for troubleshooting including operating system tools like sar and vmstat, Java tools like jps and jstat, and WebLogic-specific tools like the WebLogic Diagnostics Framework. It also covers taking thread dumps, configuring WebLogic logging and debugging options, and using the Oracle Diagnostic Logging framework.
A straight-forward explanation with an example of how JSR-88 aka Deployment Plans can be used in WebLogic Server to make changes to values in deployment descriptors without modifying application archives.
Every Java developer knows that multithreading is the root of all evil and it is quite hard to write correct code for concurrent environment. But what tasks do exist in real commercial development except running code in asynchronous way?
In this talk I will present several tasks from my real projects and solutions we designed for them. This talk is very application oriented and allows participants to extend their vision of concurrent programming.
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
Oracle WebLogic Server is a scalable, enterprise-ready Java application server that supports the deployment of distributed applications. It provides a robust, secure, highly available environment for deploying mission-critical applications. WebLogic Server supports Java EE standards and enables enterprises to configure clusters of servers to distribute load and provide failover capabilities. The key components of a WebLogic domain include the administration server, which manages the domain configuration, and multiple managed servers that host applications and services. Clusters group managed servers to provide scalability and reliability. WebLogic Server is managed through the administration console and WLST and can be monitored using Enterprise Manager.
This document discusses moving from traditional monolithic and SOA architectures to microservices architectures. It covers principles of microservices like high cohesion, low coupling, independent deployability and scaling of services. It also discusses organizational implications, noting that teams are typically organized around business capabilities rather than technical layers in a microservices structure. Key challenges of microservices like increased complexity and performance overhead are also outlined.
Application Networks: Microservices and APIs at NetflixMuleSoft
Who better to talk about microservices — one of the hottest technology trends for 2016 — than Netflix? This streaming-entertainment giant began adopting them in 2009, years before the exact term even existed. Join MuleSoft and Netflix as they co-present the value that a microservices architecture can bring to your business, and see first hand the real-world implementation of APIs at Netflix. Then learn from MuleSoft’s CTO how APIs and DevOps are two important pillars of microservices and discover how they can become part of your application network.
This document discusses WebLogic JMS system best practices. It covers topics like JMS servers, persistent stores, JMS modules, and JMS resources. A JMS server manages queue and topic resources defined in JMS modules. Persistent stores provide high-performance storage for persistent messages. File stores or JDBC stores can be used. Best practices include sharing a persistent store between subsystems and only adding new stores when scaling limits are reached.
Fred George describes his personal journey discovering microservice architecture over 15 years working on large software projects. He details how his projects evolved from monolithic 1 million line applications to small, independent services. This allowed for improved agility, with services being short-lived and able to deploy several times a day. George also discusses challenges faced and lessons learned around loosely coupling services, managing data across services, and establishing practices for a "living software" system with continuous deployment of services.
JMS is a Java specification that defines a common way for Java programs to asynchronously and reliably send and receive messages through message queues or topics. It uses providers like WebLogic JMS, MQ JMS and Sun ONE Message Queue to implement the standard and allow communication between loosely coupled applications. JMS can also be used to transport SOAP messages using message transformers and provides features like durable subscriptions, transactions, and message selectors.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
The document provides an overview of the Java Message Service (JMS) API. It discusses how JMS allows for asynchronous and reliable messaging between loosely coupled applications. JMS uses the Java Naming and Directory Interface (JNDI) to abstract provider details and make administrative objects easily organized. Example code is given to demonstrate publishing messages to a topic and subscribing to receive messages from a topic.
The document discusses Java Message Service (JMS) and its architecture, describing key JMS concepts like connections, sessions, message producers and consumers, and administered objects. It also covers message types and how to implement asynchronous messaging using a message-driven bean within a J2EE application.
The document summarizes JMS (Java Messaging Service), including its architecture, core concepts like messaging domains (point-to-point and publish/subscribe), administered objects like connection factories and destinations, and how to create and use message producers, consumers, listeners and messages. JMS enables loosely coupled, asynchronous communication between distributed applications using messages sent to queues or topics.
Java Messaging Service (JMS) is a Java API that allows applications to asynchronously send and receive messages. It supports both point-to-point and publish-subscribe messaging models. A JMS application consists of JMS clients that produce and consume messages and administered objects like destinations and connection factories that are configured by an administrator.
This document provides an overview of messaging frameworks and Java Message Service (JMS). It defines messaging as communication between disparate systems and explains why messaging is important for enabling asynchronous and reliable communication. The key concepts covered include messaging fundamentals using a message-oriented middleware, common messaging protocols like AMQP and JMS, JMS domains for point-to-point and publish/subscribe messaging, consuming messages synchronously and asynchronously, the JMS API for creating connections and messages, and best practices for building robust JMS applications. It concludes with an example of designing a drone delivery system using JMS queues.
This document provides an overview of using a JMS (Java Message Service) implementation like Apache ActiveMQ for asynchronous event processing in a ranker system. It discusses why messaging is useful, challenges in selecting a JMS provider and ActiveMQ, how JMS and point-to-point messaging works, key ActiveMQ features, and some other JMS provider options.
Node.js is an event-driven, asynchronous JavaScript runtime that allows JavaScript to be used for server-side scripting. It uses an event loop model that maps events to callbacks to handle concurrent connections without blocking. This allows Node.js applications to scale to many users. Modules in Node.js follow the CommonJS standard and can export functions and objects to be used by other modules. The event emitter pattern is commonly used to handle asynchronous events. Node.js is well-suited for real-time applications with intensive I/O operations but may not be the best choice for CPU-intensive or enterprise applications.
-Explain the basics JMS
- Use API of Java
References
YouTube link :
https://www.youtube.com/playlist?list=PLtDIUAtyP4lhV7CsYfLuIx26UeG4J-ujZ
GitHub :
https://github.com/Ghadeerof
The document discusses how to create JMS applications using ActiveMQ and Spring. It provides code examples for configuring JMS connections and destinations, defining consumers using message listener containers, and implementing producers using templates. The examples demonstrate publishing stock price updates to topics. Configuring the various JMS components with Spring simplifies common tasks in messaging applications.
The document introduces JMS and discusses its architecture and programming model. It describes JMS components like connection factories, destinations, and sessions. JMS supports both point-to-point and publish/subscribe messaging models. The JMS programming model involves getting a JNDI context, looking up connection factories, creating connections and sessions, looking up destinations, creating message producers and consumers, and sending or receiving messages.
Jdon Framework is a lightweight framework that helps build clean and fluent architecture systems using domain-driven design principles. It introduces reactive and event-driven patterns into the domain layer. Jdon uses an asynchronous and non-blocking approach to allow for higher throughput applications compared to traditional request-response frameworks like Spring. Key aspects of Jdon include domain events that enable loose coupling between components, and a single-writer model that guarantees single operations on in-memory state.
Similar to Weblogic - Introduction to configure JMS (20)
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What is JMS?What is JMS?
• A specification that describes a common way for Java
programs to create, send, receive and read distributed
enterprise messages
• loosely coupled communication
• Asynchronous messaging
• Reliable delivery
o A message is guaranteed to be delivered once and only
once.
• Outside the specification
o Security services
o Management services
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A JMS ApplicationA JMS Application
• JMS Clients
o Java programs that send/receive messages
• Messages
• Administered Objects
o preconfigured JMS objects created by an admin
for the use of clients
o ConnectionFactory, Destination (queue or topic)
• JMS Provider
o messaging system that implements JMS and
administrative functionality
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JMS Messaging DomainsJMS Messaging Domains
• Point-to-Point (PTP)
o built around the concept of message queues
o each message has only one consumer
• Publish-Subscribe systems
o uses a “topic” to send and receive messages
o each message has multiple consumers
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Message ConsumptionsMessage Consumptions
• Synchronously
o A subscriber or a receiver explicitly fetches the message
from the destination by calling the receive method.
o The receive method can block until a message arrives or
can time out if a message does not arrive within a
specified time limit.
• Asynchronously
o A client can register a message listener with a consumer.
o Whenever a message arrives at the destination, the JMS
provider delivers the message by calling the listener's
onMessage() method.
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JMS API Programming ModelJMS API Programming Model
Connection
creates creates
creates
MsgDestination
receives
from
sends to
Connection
Factory
Destination
Message
ConsumerSession
Message
Producer
creates
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JMS Client ExampleJMS Client Example
• Setting up a connection and creating a session
InitialContext jndiContext=new InitialContext();
//look up for the connection factory
ConnectionFactory cf=jndiContext.lookup(connectionfactoryname);
//create a connection
Connection connection=cf.createConnection();
//create a session
Session session=connection.createSession(false,Session.AUTO_ACKNOWLEDGE);
//create a destination object
Destination dest1=(Queue) jndiContext.lookup(“/jms/myQueue”); //for PointToPoint
Destination dest2=(Topic)jndiContext.lookup(“/jms/myTopic”); //for publish-subscribe
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Producer SampleProducer Sample
• Setup connection and create a session
• Creating producer
MessageProducer producer=session.createProducer(dest1);
• Send a message
Message m=session.createTextMessage();
m.setText(“just another message”);
producer.send(m);
• Closing the connection
connection.close();
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Consumer Sample (Asynchronous)Consumer Sample (Asynchronous)
• Setup the connection, create a session
• Create consumer
• Registering the listener
o MessageListener listener=new myListener();
o consumer.setMessageListener(listener);
• myListener should have onMessage()
public void onMessage(Message msg){
//read the massage and do computation
}
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JMS MessagesJMS Messages
• Message Header
o used for identifying and routing messages
o contains vendor-specified values, but could also
contain application-specific data
o typically name/value pairs
• Message Properties (optional)
• Message Body(optional)
o contains the data
o five different message body types in the JMS
specification
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JMS Message TypesJMS Message Types
Message Type Contains Some Methods
TextMessage String getText,setText
MapMessage set of name/value pairs setString,setDouble,setLo
ng,getDouble,getString
BytesMessage stream of uninterpreted
bytes
writeBytes,readBytes
StreamMessage stream of primitive
values
writeString,writeDouble,
writeLong,readString
ObjectMessage serialize object setObject,getObject
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More JMSMore JMS FeaturesFeatures
• Durable subscription
o by default a subscriber gets only messages
published on a topic while a subscriber is alive
o durable subscription retains messages until a
they are received by a subscriber or expire
• Request/Reply
o by creating temporary queues and topics
• Session.createTemporaryQueue()
o producer=session.createProducer(msg.getJMSReplyTo());
reply= session.createTextMessage(“reply”);
reply.setJMSCorrelationID(msg.getJMSMessageID);
producer.send(reply);
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More JMS FeaturesMore JMS Features
• Transacted sessions
o session=connection.createSession(true,0)
o combination of queue and topic operation in one transaction is allowed
o void onMessage(Message m) {
try { Message m2=processOrder(m);
publisher.publish(m2); session.commit();
} catch(Exception e) { session.rollback(); }
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More JMS FeaturesMore JMS Features
• Persistent/nonpersistent delivery
o producer.setDeliveryMethod(DeliveryMode.NON_PERSISTENT);
o producer.send(mesg, DeliveryMode.NON_PERSISTENT ,3,1000);
• Message selectors
o SQL-like syntax for accessing header:
subscriber = session.createSubscriber(topic, “priority > 6 AND type = ‘alert’ ”);
o Point to point: selector determines single
recipient
o Pub-sub: acts as filter
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JMS API in a J2EE ApplicationJMS API in a J2EE Application
• Since the J2EE1.3 , the JMS API has
been an integral part of the platform
• J2EE components can use the JMS
API to send messages that can be
consumed asynchronously by a
specialized Enterprise Java Bean
o message-driven bean
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Enterprise Java BeansEnterprise Java Beans
• EJB is a server-side component that encapsulates
the business logic of an application
• EJB simplifies the development of large,
distributed applications
o EJB Container provides system-level services
• e.g. transaction management, authorization
o Beans have the control logic
• thin client applications
o Portable components
• can run on any compliant J2EE server
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Message–Driven BeanMessage–Driven Bean
• acts as a listener for the JMS, processing messages
asynchronously
• specialized adaptation of the JMS API used in the
context of J2EE applications
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MDB ExampleMDB Example
public class MB implements MessageDrivenBean, MessageListener{
public void ejbCreate(){}
public void ejbRemove(){}
public void setMessageDrivenContext(MessageDrivenContext mdc){}
pubic void onMessage(Message m){
//do computation on the incoming message
try{ if (m instanceof TextMessage)
System.out.println(“MBean: message”+m.getText());
}catch(JMSException exp){ ...}
}
}
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JMS and JNDIJMS and JNDI
• JMS does not define a standard address syntax by
which clients communicate with each other
• Instead JMS utilizes Java Naming & Directory
Interface(JNDI).
• Using JNDI provides the following advantages:
o It hides provider-specific details from JMS clients.
o It abstracts JMS administrative information into Java
objects that are easily organized and administrated from a
common management console.
o Since there will be JNDI providers for all popular naming
services, this means JMS providers can deliver one
implementation of administered objects that will run
everywhere. Thereby eliminating deployment and
configuration issues.
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SOAP and JMSSOAP and JMS
• Use JMS as a transportation layer for SOAP
• Example: Sun™ ONE Message Queue
o enables to send JMS messages that contain a
SOAP payload
o allowing transportation of SOAP messages
reliably and publishing SOAP messages to JMS
subscribers
o http://docs.sun.com/source/817-0355-
10/SOAP.html
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SOAP and JMSSOAP and JMS
(using Sun™ ONE MQ)(using Sun™ ONE MQ)
• Send a SOAP message
o Create a JMS session
o Create a SOAP message
o Transfer the SOAP message into JMS message
Message myMsg= MessageTransformer.SOAPMessageIntoJMSMessage
(SOAPMessage, Session);
o Send the JMS message
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SOAP and JMSSOAP and JMS
• Receive a SOAP message
o Create a JMS session
o Receive the JMS message
o Transfer the JMS message into SOAP message
SOAPMessage myMsg= MessageTransformer.SOAPMessageFromJMSMessage
(Message, MessageFactory);
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JMS ProvidersJMS Providers
• SunONE Message Queue (SUN)
o a JMS provider integrated with the SunONE
Application Server
o http://www.sun.com
• MQ JMS (IBM)
o MQSeries is another messaging technology
o can configure MQ as a JMS provider
o (http://www7b.software.ibm.com/wsdd/library/t
echtip/0112_cox.html)
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JMS ProvidersJMS Providers
• WebLogic JMS (BEA)
o enterprise-class messaging system integrated into
WebLogic Server
o http://dev2dev.bea.com/technologies/jms/inde
x.jsp
• JMSCourier (Codemesh)
o merging C++ applications into a JMS
environment
o http://www.codemesh.com/en/AlignTechnology
CaseStudy.html
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Editor's Notes
Asynchronous. A JMS provider can deliver messages to a client as they arrive; a client does not have to request messages in order to receive them.
Lower levels of reliability are available for applications that can afford to miss messages or to receive duplicate messages.
The JMS specification describes a set of programming interfaces that support distributed, enterprise messaging. An enterprise messaging systems enables independent distributed components or applications to interact through messages. These components, whether on the same system, the same network, or loosely connected through the Internet, use messaging to pass data and coordinate their respective functions.
exposing only the JMS APIs is to hide the details from the users that want a higher-level API and also to ensure portability among implementations.
As long as the vendor adheres to the JMS specification, a user shouldn't have to worry too much about how the implementation is constructed.
By itself, it provides no functionality: the API or interfaces are separate from the implementation This gives the benefit of describing in detail what the user view should be, while at the same time allowing vendors to implement the details however they want.
JMS is not an implementation of a message-oriented middleware.
security and management are not the concerns of the JMS spec
A JMS Application is one or more JMS clients that exchange messages asynchronously
JNDI:java naming and directory service
administrative tool allows you to bind cf,dest to jndi. Clients lookup the admin objects in the jndi and then establish a logical connection to the same objects through provider
2 types of administrative objects: connection factory, destination
administrated objects are placed in a JNDI by admin.
a JMS client notes in its documentation the JMS admin objects it requires and how the JNDI names of these objects should be provided to it.
Connection factories are created by the server administrator and bound into the Java Naming and Directory Interface (JNDI) tree.
A JMS client uses JNDI to look up the ConnectionFactory and then uses the ConnectionFactory to establish a JMS connection.
A JMS Application is one or more JMS clients that exchange messages asynchronously.
JMS deals with two kinds of message domains. -
Point-to-Point (PTP) are built around the concept of message queues.
Publish-Subscribe systems use a “topic” to send and receive messages.
Supports messages containing Java objects and XML pages.
1 consumer
a sender and a receiver have no timing dependencies. the receiver can fetch the mesg whether or not it was running when client sent the msg
receiver acknowledges
multiple consumers
publishers and subscribers have timing dependency. a client can consume only msgs published after its subscription and must continue to be active to consume msgs
( exception durable subscription)
A message listener is similar to an event listener
JMS Interfaces:
connectionfactory: administrative object used by client to create a connection
connection: an active connection for JMS provider
destination: administrative object that encapsulates the identity of a message destination
session: a single-threaded context for sending/receiving message
messageproducer: an object created by a session that is used for sending msg to a dest
messageconsumer: similar
transacted session
connection.createSession(true,0);
AUTO_ACK: when client succesfully returned froma call to receive or when messagelistener returned successfully
Client_ACK: a client acks a mesg by calling the message’s acknowledge() method ( consume 10 ack 5th, you acked for all 10)
DUPS_ACK:dups are permitted, lazy ack (??)
transacted session
connection.createSession(true,0);
AUTO_ACK: when client succesfully returned froma call to receive or when messagelistener returned successfully
Client_ACK: a client acks a mesg by calling the message’s acknowledge() method ( consume 10 ack 5th, you acked for all 10)
DUPS_ACK:dups are permitted, lazy ack (??)
Since the 1.3 release of the J2EE platform ("the J2EE 1.3 platform"), the JMS API has been an integral part of the platform, and application developers can use messaging with components using J2EE APIs ("J2EE components").
J2EE Application server provides EJB, freeing applications from details of threading, transactions, scalability, fault-tolerance
J2EE components (Web components or Enterprise JavaBeans (EJB) components) can use the JMS API to send messages that can be consumed asynchronously by a specialized EJB, called a message-driven bean (MDB).
EJB is a server-side component that encapsulates the business logic of an application
J2EE Application server provides EJB, freeing applications from details of threading, transactions, scalability, fault-tolerance
J2EE components (Web components or Enterprise JavaBeans (EJB) components) can use the JMS API to send messages that can be consumed asynchronously by a specialized EJB, called a message-driven bean (MDB).
EJB is a server-side component that encapsulates the business logic of an application
EJB Container automatically performs several setup tasks that a standalone client has to do:
-creating a msgconsumer
instead, you associate the message-driven bean with a destination and connection factory at deployment time
durable subscription, message selector : do at deployment
-registering message listener
-specifying message acknowledgment mode
to create a new instance container calls
-setmessagedrivencontext to pass the context object
-then ejbcreate
EJB Container automatically performs several setup tasks that a standalone client has to do:
-creating a msgconsumer
instead, you associate the message-driven bean with a destination and connection factory at deployment time
durable subscription, message selector : do at deployment
-registering message listener
-specifying message acknowledgment mode
Although a standard address syntax was considered, it was decided that the differences in address semantics between existing MOM products was too wide to bridge with a single syntax.
In the first example, illustrated in Figure 5-9, an incoming SOAP message is received by a servlet. After receiving the SOAP message, the servlet MyServlet uses the MessageTransformer utility to transform the message into a JMS message, and (reliably) forwards it to an application that receives it, turns it back into a SOAP message, and processes the contents of the SOAP message
http://docs.sun.com/source/817-0355-10/SOAP.html