Tuning the JVM Heap:
Senthilnathan Shanmugasundaranathan
VP | Leveraging automation and AI for banking IT cost savings | Regulatory and Compliance | Expert insights on digital innovation in Finance
JVM heap tuning is an important one in optimizing the performance of Java-based applications, especially when dealing with large datasets or running on distributed systems such as Hadoop, Spark, or other big data frameworks. The JVM heap is where Java objects are stored during runtime, and its proper configuration ensures that the application has enough memory for its operations without causing excessive garbage collection (GC) pauses or running out of memory.
Strategies:
a) Set Initial and Maximum heap size.
b) Adjust the young generation size.
c) Tune the old generation size.
d) Garbage collection Tuning.
e) Tune the metaspace.
Conclusion: Apply above and try with your own environment tactics. May be the future will go with less garbage collection languages like Go Lang and Rust. I am also new to these languages. Let me also learn and come up with some new post.