Java memory management is an ongoing challenge and a skill that must be mastered to have properly tuned applications that function in a scalable manner. Fundamentally, it is the process of allocating new objects and properly removing unused objects.
What can be done to help the OpenJDK JVM play well in the world of Linux Containers?
Tuning the Java Virtual Machine (JVM) within containers involves adjusting various JVM parameters to ensure optimal performance, efficient resource utilization, and stability within the containerized environment. Here are some key considerations and best practices.
The majority of businesses now are using Docker to run applications. They devote a lot of time, energy, and resources to stabilize their success and invest heavily in a variety of advanced observation techniques. Despite this, they are experiencing poor performance and the containers are being stressed as a result of the heavy traffic flow. The motive of this blog is to help those running Java applications on docker containers in getting optimal performance.
This document describes a collection of standards, conventions and guidelines for writing Java code that is easy to understand, to maintain, and to enhance.