Cleaner

Cleaner is a powerful Kubernetes controller designed to optimize and manage Kubernetes clusters by identifying and handling unused, stale, or unhealthy resources. This project enhances cluster efficiency through various features, ensuring that resources are used effectively by removing or updating old configurations.

Key Features

• Resource Management: Cleaner identifies, removes, or updates stale/orphaned and unhealthy Kubernetes resources, ensuring a streamlined cluster.
• Advanced Filtering: Utilizes label filtering and Lua-based criteria, giving users the flexibility to customize their resource management based on specific needs.
• Notification System: Keep track of cleanups and updates with notifications sent via popular platforms including Slack, Webex, Discord, Teams, Telegram, and through email notifications via SMTP.
• Scheduling: Define scanning frequencies using Cron syntax for regular resource assessment,
• Dry Run Mode: Test the cleaning logic without making actual changes to resources, allowing users to verify configurations.
• Web Dashboard: An optional dashboard for visualizing cluster health, reviewing scans, and initiating cleanups directly from the UI.
• Prometheus Metrics Integration: Gauge decisions based on live metrics with the ability to act when resource performance does not meet preset criteria.
• Rollback Capability: Maintain historical state for every resource, allowing for easy reversal of changes if required.

Benefits

Cleaner helps maintain an efficient Kubernetes environment by effectively managing resources, significantly reducing clutter, and enhancing overall cluster performance. Users can efficiently reclaim unused resources, ensure current configurations, and minimize bloat, leading to a more organized and stable infrastructure.

For detailed usage examples, including specific actions for different resource types, users can refer to example directories in the repository. Cleaner is not only a tool to manage Kubernetes effectively but is also tailored to adapt to individual resource management strategies based on the user’s requirements.