Greetings!
We are pleased to announce that we have enhanced the Glassfish plugin with an improved interface and additional metrics to make it easier for you to monitor and troubleshoot issues in your Glassfish servers.
Unified metrics and a tabbed interface for comprehensive monitoring
The updated plugin consolidates metrics from three previous plugins (Glassfish JVM Memory, Glassfish JVM Thread, and Glassfish Resource Connection Pool) into a single plugin, with added metrics. It now includes dedicated tabs for Summary, Sessions and Transactions, Memory, Thread, Request Status, and Class Loading and GC Metrics.
With the plugin, you can:
- Enhance resource management and capacity planning: Monitor memory metrics to optimize JVM memory usage, prevent leaks, and ensure efficient allocation, reducing risks of crashes or slowdowns.
- Improve application performance: Track processing, request, and thread metrics to identify bottlenecks and improve efficiency during high traffic, ensuring smooth application performance.
- Detect issues proactively: Monitor error and response code metrics to identify issues early, allowing for proactive resolutions and minimizing downtime and instability.
- Ensure network efficiency and server scalability: Analyze network, session, and servlet metrics to maintain efficiency, manage server scalability, and handle increased loads without performance degradation.
- Enhance thread management: Track thread metrics to avoid deadlocks and optimize thread usage, ensuring stable and efficient server operations.
Visit our GitHub repository and follow the steps in the README file to install the enhanced Glassfish plugin.
Feel free to send in your feedback on the enhancement in the comments section below.
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