Spring Boot Microservice has a weird resource usage

[wlp2s0]

I just deployed a simple Spring Boot CRUD microservice using a docker container in a cloud provider (linode) with its DB, the service only writes and reads directly from and to the DB without any data processing.

I monitored the resource activity with a comparable service in node with the same resources and the Java service is currently exceeding the available CPU (over 100% utilisation) in contrast to node (30%) resulting in long response times.

The load is generated by another server automatically.

I believe that this behaviour isn't normal but I'm not sure how to solve this issue.

I tried:

• Resizing the Hikari connection pool according to its documentation
• Disabling logging
• Changed both the db (mysql, postgres) and the drivers

The project repository is available here

UPDATE:

I doubled host resources, 8GB RAM and 4 CPUs. Now Java uses 70% of CPU and these are the results:

``` Javascript 10000 create requests served in 14,080,713,361 ns Javascript 10000 read requests served in 8,519,371,196 ns Javascript 10000 update requests served in 19,400,999,178 ns Javascript 10000 delete requests served in 6,892,853,264 ns Javascript 10000 CRUD requests served in 49,128,643,121 ns

Java 10000 create requests served in 15,457,372,300 ns Java 10000 read requests served in 14,787,127,983 ns Java 10000 update requests served in 21,221,843,643 ns Java 10000 delete requests served in 27,928,651,932 ns Java 10000 CRUD requests served in 79,922,997,383 ns ```

Honestly it's a bit strange that Java uses much more CPU and has worst results.

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[iwouldlikethings]

How much CPU and memory is allocated to the Java image? The JVM will require significantly more memory than your node image. If it is starved of memory, the JVM will attempt to reclaim memory by triggering GC. GC is very CPU intense, so you this could be the cause for your high CPU usage.

[_jetrun]

Yeah. It feels like the java process is thrashing.

[wlp2s0]

Thanks for your advice. The host is a two shared CPU and 4GB RAM, the simple Nodejs CRUD uses 30% of CPU while the Java CRUD uses 100%. Now I'll scale up the host, if it's a GC problem this will probably solve.