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Authors: Damien Grisonnet

tldr - powered by Generative AI

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.