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.
- Regular SIG Meeting: Wednesdays at 17:00 UTC (weekly). Convert to your timezone.
The Chairs of the SIG run operations and processes governing the SIG.
- 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.
The google groups contain the archive of Github team notifications. Mentioning a team on Github will CC its group. Monitor these for Github activity if you are not a member of the team.
| Team Name | Details | Google Groups | Description |
|---|---|---|---|
| @kubernetes/sig-big-data-api-reviews | link | link | API Changes and Reviews |
| @kubernetes/sig-big-data-bugs | link | link | Bug Triage and Troubleshooting |
| @kubernetes/sig-big-data-feature-requests | link | link | Feature Requests |
| @kubernetes/sig-big-data-misc | link | link | General Discussion |
| @kubernetes/sig-big-data-pr-reviews | link | link | PR Reviews |
| @kubernetes/sig-big-data-proposals | link | link | Design Proposals |
| @kubernetes/sig-big-data-test-failures | link | 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