ActiveMQ architecture and key metrics

ActiveMQ Classic and Artemis are two versions of the open-source messaging server from Apache Software Foundation. They support both point-to-point (queue) and publish/subscribe (topic) communication styles, and they can be used to integrate different systems within an organization or across multiple organizations. Monitoring ActiveMQ metrics is essential for maintaining a healthy messaging infrastructure. In this series of posts, we’ll explore the key metrics you should monitor in both versions of ActiveMQ, as well as some tools that can help you collect and visualize these metrics. In Part 1 of this series, we discussed: - The importance of monitoring your messaging system - Key metrics to watch for in both versions of ActiveMQ - How to interpret those metrics and what actions you might take based on their values In Part 2 of this series, we’ll look at some tools that use Java Management Extensions (JMX) to monitor ActiveMQ Classic and Artemis brokers. We’ll also explore how you can use these tools to collect and visualize the metrics discussed in Part 1. Monitoring your messaging system is crucial for maintaining its performance, availability, and security. By monitoring key metrics from both versions of ActiveMQ, you can detect potential issues before they affect your services, allowing you to take proactive measures to prevent or mitigate problems. In the next post in this series, we’ll dive deeper into the tools available for monitoring ActiveMQ Classic and Artemis brokers. Stay tuned!