The 'PRO++' edition offers significant advantages over the free 'PUBLIC' edition, including advanced machine learning for problem detection in GC logs, the ability to analyze 300 logs and make 300 API calls per month, larger file uploads (300mb), and the option to download analysis reports in PDF format.
GCeasy’s JSON APIs facilitate application monitoring, focusing on critical metrics like 'isProblem', 'problem', 'graphURL', GC throughput, average and max GC pause times, object creation rate, and peak heap size. Alerts can be triggered based on specific thresholds for these metrics, ensuring optimal application performance during CI/CD processes.
When studying Garbage Collection performance, focus on 'GC Pause Duration' instead of 'GC Duration' as it more accurately reflects application performance impact. 'GC Pause Duration' includes only full pause events, while 'GC Duration' accounts for overall time, leading to potentially misleading analyses. Tools like GCeasy help differentiate these metrics effectively.
gceasy.io is introducing a RESTful API to analyze Java GC logs. Here are a couple of use cases where this Java GC API can be used.