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Posted to notifications@pekko.apache.org by "pjfanning (via GitHub)" <gi...@apache.org> on 2023/02/01 10:37:10 UTC

[GitHub] [incubator-pekko] pjfanning opened a new issue, #139: try to fix the multi-node CI build

pjfanning opened a new issue, #139:
URL: https://github.com/apache/incubator-pekko/issues/139

   https://github.com/apache/incubator-pekko/blob/main/.github/workflows/multi-node.yml
   
   This workflow is a copy of a Lightbend Akka workflow. It requires Google Cloud and a set of tokens to access it. 
   
   We need to decide if these tests could be run on alternative infrastructure.


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[GitHub] [incubator-pekko] jrudolph commented on issue #139: try to fix the multi-node CI build

Posted by "jrudolph (via GitHub)" <gi...@apache.org>.
jrudolph commented on issue #139:
URL: https://github.com/apache/incubator-pekko/issues/139#issuecomment-1446448063

   We shouldn't make this a requirement for 1.0.0.
   
   The multi-node tests mean that tests that are run as multi-jvm tests in the regular build are instead run distributed over multiple machines / VMs / containers to cover a more diverse set of working environments. The idea is that some race conditions might only turn up under more realistic environments than running on a single machine over localhost networking.
   
   Since we will not change functionality for 1.0.0, there is no reason to expect any additional failures to turn up that would only show in multi-node tests (the very same tests are still run as multi-jvm tests as part of nightly builds).
   
   They become more important when we start changing functionality and want to ensure changes that might change non-deterministic behavior are stable under a more diverse set of working conditions.


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[GitHub] [incubator-pekko] l2dy commented on issue #139: try to fix the multi-node CI build

Posted by "l2dy (via GitHub)" <gi...@apache.org>.
l2dy commented on issue #139:
URL: https://github.com/apache/incubator-pekko/issues/139#issuecomment-1435498603

   The test is based on Kubernetes, so it should be portable. However, 30+ GiB of memory (10 pods and each takes 3 GiB) is required, while GitHub-hosted runners have 7 GB only.


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