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https://github.com/chameleontartu/comparison-different-jdk-vendors

A short presentation about different available JDK vendors, comparison between Docker images, size, and performance
https://github.com/chameleontartu/comparison-different-jdk-vendors

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A short presentation about different available JDK vendors, comparison between Docker images, size, and performance

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# Kotlin + Docker. Is OpenJDK the perfect image for production?



In this presentation, you will see available vendors in conemporary Java world, as an example I do it for JDK 11. We make comparison by image sizes, and performance of running image. As an example, I will take sample Spring Boot + Kotlin application.



## List of vendors to compare with



- [AdaptOpenJDK](https://hub.docker.com/r/adoptopenjdk/openjdk11)

- [Amazon](https://hub.docker.com/_/amazoncorretto)

- [Azul Zulu](https://hub.docker.com/r/azul/zulu-openjdk-alpine)

- [Bellsoft](https://hub.docker.com/r/bellsoft/liberica-openjdk-alpine)

- [SAP](https://hub.docker.com/_/sapmachine)

- [TravaOpenJDK](https://hub.docker.com/r/travactory/docker-openjdk11-kubectl)



Some other vendors are not covered as they have restricted licenses or under another set of technologies set. For instance, GraalVM is a separate discussion track.



## Size comparison



All images are taken with alpine Linux, if this distribution was available for comparison.



See results in [Sizes comparison report](comparison/generated_sizes_report.html)



## Performance comparison



To compare performance and stats among different openjdk images, we have used `Locust` load testing framework.



```

poetry run locust -f load_test.py -u 500 -r 10 --host http://localhost:8085

```



Images themselves were constrained to use as much RAM as they require but bounded by 2 cores only.



```

docker run -p8085:8085 --cpuset-cpus="0,1" -d bellsoft_liberica-openjdk-alpine-musl:11

```



Reports for each distribution are available under `stats/docker/` paths.



| Image.         | Total # of requests     | Avg time (ms)     |

| :------------- | :----------: | -----------: |

| amazoncorretto:11 | 845   | 259728    |

| amazoncorretto:11-alpine   | 818 | 248999 |

| azul_zulu-openjdk-alpine:11-jre | 833 | 238408 |

| bellsoft_liberica-openjdk-alpine-musl:11 | 834 | 244292 |

| bellsoft_liberica-openjdk-alpine:11 | 789 | 245254 |

| sapmachine:11 | 760 | 249115 |

| travactory_docker-openjdk11-kubectl:latest | 759 | 258456 |

| adoptopenjdk_openjdk11:alpine | 805 | 242200 |

| azul_zulu-openjdk:11 | 574 | 278204 |

| azul_zulu-openjdk-alpine:11 | 831 | 259710 |

| amazoncorretto:11-alpine-jdk | 688 | 250009 |

| adoptopenjdk_openjdk11-openj9:alpine | 259 | 331422 |



## Summary



Size winner: `bellsoft/liberica-openjdk-alpine-musl:11`



Performance winners: `amazoncorretto:11`, `azul_zulu-openjdk-alpine:11-jre`, `bellsoft_liberica-openjdk-alpine-musl:11`



## Ranting about tools



- I had a great hope for [monolith single HTML download tool](https://github.com/Y2Z/monolith).

Unfortunately, it couldn't downloag GIFs from cAdvisor monitor.



- I wanted to find a nice tool for running Docker images monitoring. [cAdvisor](https://github.com/google/cadvisor) was supposed to be the tool. As I use it, I figured out that even it builds nice looking graphs, it doesn't do more than `docker stats`, so it is not possible to see image performance over the last N minutes.



## Recommendations



- Python dependency management tool [Poetry](https://python-poetry.org/) helped a lot in preliminary download of images and generating size report.



- Docker did a good job as always, no complaints. :-)