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.
The presenter discussed the challenges of changing metric names in Kubernetes and the need for stability levels to prevent breaking changes. They also highlighted the benefits of structured logging in JSON format, which is easier to query and analyze than text-based logging. The presenter emphasized the importance of contextual logging for attaching context and data to log lines for better analysis and correlation with tracing. They also mentioned the structured logging working group, which is actively working on migrating the code base to structured and contextual logging.