Payara Server is an open source, cloud-native middleware platform supporting reliable and secure deployments of Java EE (Jakarta EE) applications on premise, in the cloud or hybrid environments. Originally derived from GlassFish and used as a drop in replacement.
Monthly releases, bug fixes and a 10-year support lifecycle optimizes Payara Server for production deployments. Payara Server is aggressively compatible with common ecosystem components and ensures future compliance with Jakarta EE.
Payara Server is built and supported by a team of DevOps engineers dedicated to continued development and maintenance of the open source software, and committed to collaboration with the community to ensure Payara Server is the best option for production Java EE applications.
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*1. New Relic *— it’s a tool to check on the slow performance of your app. If any action of the user takes longer than usual, NewRelic will inform you about that. - Source: dev.to / 9 days ago
Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / about 1 month ago
Using APM tools like NewRelic, Sentry, Datadog, etc to monitor the performance of your application and while you're on it, they can help you identify N+1 queries. - Source: dev.to / about 2 months ago
These tools track server and underlying infrastructure and backend performance. They monitor several metrics, like disk I/O, CPU and memory usage, network traffic, and more. Some examples of these tools include New Relic, Datadog, and AppDynamics. Web administrators can use them to see what's causing slow SRT, like high CPU usage or network traffic. Server-side monitoring tools also provide real-time alerts to... - Source: dev.to / 3 months ago
11 Application performance: Before we even perform a deployment, we should configure monitoring tools like Retrace, DataDog, New Relic, or AppDynamics to look for performance problems, hidden errors, and other issues. During and after the deployment, we should also look for any changes in overall application performance and establish some benchmarks to know when things deviate from the norm. - Source: dev.to / 3 months ago
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