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declarative-cluster-management
Declarative cluster management using constraint programming, where constraints are described using SQL.
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Our Spring Boot showcase application https://github.com/porscheinformatik/angular-spring-heroes starts ~ 10% faster on Java 17 compared to Java 11 (compiled with target 11).
If you're interested in this topic, we're building a tool for building cluster manager components (like policy-based container schedulers) using constraint programming, where constraints are specified using SQL.
Paper: https://www.usenix.org/system/files/osdi20-suresh.pdf
Code: https://github.com/vmware/declarative-cluster-management/
No I do not. I do not want native image. I want the dependency injection container created at compile time like Dagger2 [0] or Avaje Inject [1] or quarkus without native image.
[0] https://dagger.dev
On a tangent optaplanner looks really interesting. Does anybody know by any chance how it compares to OR tools [1]?
1: https://developers.google.com/optimization
Just tried a simple Quarkus app (https://github.com/derkoe/quarkus-htmx-todos) with the same results. Java 17 starts around 10% faster. Memory consumption is around 10% lower (after first request).
> How to get from that to a (useful) bug report
Start by submitting the hs_err file.
> almost everything removed
It was removed from the JDK and made available as a separate module (contributed to Eclipse): https://github.com/eclipse-ee4j/orb
> Which reminds me that the migration cost estimate came in at 7 figures for no clear benefits.
Most companies report a ~10% reduction in hardware costs, and more than make up for any migration costs in under a year. See this experience from LinkedIn: https://channel9.msdn.com/Events/Java/JDConf-2020/Java-11-Jo...