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.