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Authors: Seok-yong Hong, Wanhae Lee
2022-10-27

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The presentation discusses the development of a detection tool for Kubernetes clusters to identify known issues and automate problem-solving.
  • The tool, called Detect, examines multiple factors to identify problems with Kubernetes clusters.
  • It uses a variety of sources, including Kubernetes, Prometheus, and SSH, to collect data and generate reports.
  • Detect is extensible, allowing users to add or remove rules as needed.
  • The presentation includes a demonstration of how to create a new detector rule for identifying clusters with more than 10,000 parts.
  • The tool is designed to help users manage upgrades and avoid common issues with Kubernetes clusters.