Covers deploying and operating big data applications (Spark, Kafka, Hadoop, Flink, Storm, etc) on Kubernetes. We focus on integrations with big data applications and architecting the best ways to run them on Kubernetes.
- Wednesdays at 17:00 UTC (weekly). Convert to your timezone.
Meeting notes and Agenda can be found here. Meeting recordings can be found here.
- Anirudh Ramanathan (@foxish), Google
- Erik Erlandson (@erikerlandson), Red Hat
The below teams can be mentioned on issues and PRs in order to get attention from the right people. Note that the links to display team membership will only work if you are a member of the org.
| Team Name | Details | Description |
|---|---|---|
| @kubernetes/sig-big-data-api-reviews | link | API Changes and Reviews |
| @kubernetes/sig-big-data-bugs | link | Bug Triage and Troubleshooting |
| @kubernetes/sig-big-data-feature-requests | link | Feature Requests |
| @kubernetes/sig-big-data-misc | link | General Discussion |
| @kubernetes/sig-big-data-pr-reviews | link | PR Reviews |
| @kubernetes/sig-big-data-proposals | link | Design Proposals |
| @kubernetes/sig-big-data-test-failures | link | Test Failures and Triage |
- Design and architect ways to run big data applications effectively on Kubernetes
- Discuss ongoing implementation efforts
- Discuss resource sharing and multi-tenancy (in the context of big data applications)
- Suggest Kubernetes features where we see a need
- Endorsing any particular tool/framework