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We should investigate the usage of shared informers in order to better handle Dashboard usage in large clusters. Currently, it puts a quite high load on the API server and on views such as workloads (all namespaces) basically might ask for tens of thousands of resources. The biggest issue now is memory usage. Using cache and better optimizing our API structures (less fields) should improve memory consumption significantly.
miguetronic
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kind/featureCategorizes issue or PR as related to a new feature.Categorizes issue or PR as related to a new feature.lifecycle/frozenIndicates that an issue or PR should not be auto-closed due to staleness.Indicates that an issue or PR should not be auto-closed due to staleness.priority/important-longtermImportant over the long term, but may not be staffed and/or may need multiple releases to complete.Important over the long term, but may not be staffed and/or may need multiple releases to complete.