The presentation discusses the importance of capacity planning, metrics, and logging in Kubernetes and the need for stability and automation in these areas.
- Capacity planning requires up-to-date and fresh data, and aggregation at collection time to reduce scope.
- The project provides a tool for capacity planning that does not require knowledge of prompt URL.
- The metrics framework provides stability levels to prevent breaking changes and automation to prevent users from making breaking changes.
- Structured logging in JSON format is easier to query and analyze than text-based logging.
- Contextual logging allows for attaching context and data to log lines for better analysis and correlation with tracing.
- The structured logging working group is actively working on migrating the code base to structured and contextual logging.