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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Said audience member here. "The Kubernetes project" includes a bit more than just https://github.com/kubernetes/kubernetes, but yes that's accurate.
Here's our GCP spend for the past month: https://imgur.com/a/VVJTSKx. Note that does not include a separate AWS cluster that we are migrating jobs too.
A large chunk of this comes from the nature of distributed tests. We need to reproduce the environment, spin up compute, etc. We do have a large problem with flaky tests on the project as well. Whether that's timeouts, memory/cpu consumption creep over time, loads of other things. We talk about how one day we'd like to get to the granulairty of being able to go to a SIG and say, "this flaky test of yours is costing the project $x in retries. Please dedicate some resources to fix it".
How we distribute the artifacts is a whole different conversation. The container world is unique in that voluntary mirrors are not as possible as with linux packages and other binaries.
If this space interests you please join us at either [SIG K8s Infra](https://github.com/kubernetes/community/tree/master/sig-k8s-...) or [SIG Testing](https://github.com/kubernetes/community/blob/master/sig-test...)!
Said audience member here. "The Kubernetes project" includes a bit more than just https://github.com/kubernetes/kubernetes, but yes that's accurate.
Here's our GCP spend for the past month: https://imgur.com/a/VVJTSKx. Note that does not include a separate AWS cluster that we are migrating jobs too.
A large chunk of this comes from the nature of distributed tests. We need to reproduce the environment, spin up compute, etc. We do have a large problem with flaky tests on the project as well. Whether that's timeouts, memory/cpu consumption creep over time, loads of other things. We talk about how one day we'd like to get to the granulairty of being able to go to a SIG and say, "this flaky test of yours is costing the project $x in retries. Please dedicate some resources to fix it".
How we distribute the artifacts is a whole different conversation. The container world is unique in that voluntary mirrors are not as possible as with linux packages and other binaries.
If this space interests you please join us at either [SIG K8s Infra](https://github.com/kubernetes/community/tree/master/sig-k8s-...) or [SIG Testing](https://github.com/kubernetes/community/blob/master/sig-test...)!