Add cluster label to SLM metrics #1046
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rneuter force-pushed the feature/slmCollectorClusterAware branch from a1e44c3 to b84263b Compare 
Signed-off-by: Rémy Neuter <remy.neuter@gmail.com>
Signed-off-by: Rémy Neuter <remy.neuter@gmail.com>
Signed-off-by: Rémy Neuter <remy.neuter@gmail.com>
rneuter force-pushed the feature/slmCollectorClusterAware branch from 9d4cea3 to aa2752c Compare rneuter changed the title Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
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This pull request introduces a new feature to the SLM collector, making it cluster-aware (#889)
Previously, the metrics exposed by the SLM collector did not include any cluster-specific labels. This made it difficult to distinguish SLM statistics in multi-cluster environments, as it was not possible to filter them by cluster name.
These changes address this limitation by adding a
clusterlabel to all metrics collected by the SLM collector. This is achieved by injecting theclusterinfo.Retrieverinto the collector, which then provides the necessary cluster information.On a more technical approach:
1st, I'm not an heavy go programmer, tried to do my best 😄 .
My main thoughts are on the 1st work that I had to do, injecting
clusterInfo.Retrieverdependency to thefactortyFunc, so each collector can register itself as a cluster info retriever consumer, if needed.I saw that another technical approach was used with the shards & indices collectors, but they are not implementing the collector interface so I thought my approach was "ok". Also, it means that shards & indices collectors can probably be migrated more easily now that collector implementations can get clusterInfo (?).
Please let me know if you think on some improvements.