JBoss A-MQ

Scaling AMQ 7 Brokers with AMQ Interconnect

Red Hat JBoss AMQ Interconnect provides flexible routing of messages between AMQP-enabled endpoints, including clients, brokers, and standalone services. With a single connection to a network of AMQ Interconnect routers, a client can exchange messages with any other endpoint connected to the network.

AMQ Interconnect can create various topologies to manage a high volume of traffic or define an elastic network in front of AMQ 7 brokers. This article shows a sample AMQ Interconnect topology for scaling AMQ 7 brokers easily.

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Announcing AMQ Streams: Apache Kafka on OpenShift

Hi all,

We are excited to announce a Developer Preview of Red Hat AMQ Streams, a new addition to Red Hat AMQ, focused on running Apache Kafka on OpenShift.

Apache Kafka is a leading real-time, distributed messaging platform for building data pipelines and streaming applications.

Using Kafka, applications can:

  • Publish and subscribe to streams of records.
  • Store streams of records.
  • Process records as they occur.

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Automating AMQ 7 High Availability Deployment

Red Hat JBoss AMQ 7 provides fast, lightweight, and secure messaging for internet-scale applications. In addition, AMQ 7 components use industry-standard message protocols and support a wide range of programming languages and operating environments.

Therefore, AMQ 7 gives you the strong foundation you need to build modern distributed applications. Especially relevant is that multiple instances of AMQ 7 brokers can be grouped together to share message processing load.

Each broker manages its own messages and connections and is connected to other brokers with “cluster bridges” that are used to send topology information, such as queues and consumers, as well as load balancing messages.

AMQ 7 supports two different strategies for backing up a server: shared store and replication.

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Enabling Byteman Script with Red Hat JBoss Fuse and AMQ – Part 2

In my previous article, Enabling Byteman Script with Red Hat JBoss Fuse and AMQ – Part 1, we found a basic use-case for Byteman scripts with Red Hat JBoss Fuse or Red Hat JBoss AMQ. However, the log file was generated separately and only limited operations were possible. In this article I will show you how to use a Java helper class. By using Java, we get advanced operations to view or modify the content. Also, using java.util.logging allows us to log the statements to fuse.log, avoiding the creation of any other log file.

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Enabling Byteman Script with Red Hat JBoss Fuse and AMQ – Part1

In a production or customer environment it is not always possible to identify issues by looking at logs, nor is it always possible to setup remote debugging using an integrated development environment (IDE) and remote debug port. Often the issues are specific to the environment and can’t be reproduced. Having byteman scripts can help in these situations to identify issues without actual code changes. Whenever certain java class or logic is invoked, byteman scripts will also be invoked as per defined class and method in the byteman script.

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Using Camel-Undertow component supporting http2 connection

This article would help to configure http2 protocol support for the camel-undertow component.

  • Camel’s undertow component use embedded undertow web-container of version undertow-core:jar:1.4.21. This version also supports the http2 connection.
  • I have used camel version 2.21.0-SNAPSHOT from upstream https://github.com/apache/camel.
  • Also, the curl version to test application using camel-undertow component is 7.53.1. This curl version supports –http2 flag for sending an http2 request.
  • I have also used nghttp to test application from linux terminal. However, this article is not about http2 insights.
  • For http2 details, I found articles [1] and [2] helpful.

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Configuring mKahaDB persistence storage for ActiveMQ

In this post, I wanted to address how to configure mKahaDB persistence storage on ActiveMQ for better management and reducing disk usage.

Default configured KahaDB persistence adapter works well when all the destinations (queues/topics) being managed by the broker have similar performance. However, an enterprise solution where several third parties are involved is never the case.

There are multiple queues or topics and different consumers or listeners listening to these queues/topics. Some consumers might be slower than other consumers. This will grow the message store’s disk usage rapidly. Due to this situation and being single KahaDB all store destinations might perform slow.

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ARM TechCon 2017 – Embedded, IoT, Networking, and more…

Arm TechCon 2017 – Embedded, IoT, Networking and no Server focus

Last month was Arm TechCon, the annual developer conference showcasing offerings from Arm and its partners. Arm laid out its vision and strategy to achieving even greater integration in its processors and circumventing the slowing Moore’s law. As always, there was a bevy of new product announcements but overall, the show seemed to lack the energy of the last few years and especially the excitement of last year after Arm was acquired by Softbank. For example, there was no big vision keynote like the one last year from Masayoshi Son (Chairman & CEO of Softbank) who had talked of IoT enabling a Cambrian Explosion (which enabled thousands of new species on Earth), leading to 1 trillion IoT devices in 20 years.

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