Thanos/Prometheus Tuning.

Tuning Thanos is essential for several reasons:

1. Performance: Optimizing query performance ensures faster response times and a better user experience.
2. Scalability: Proper tuning allows the system to handle increased loads and larger datasets efficiently.
3. Durability: Ensuring that metrics are stored and managed correctly over long periods.
4. Resource Management: Efficiently using resources to avoid unnecessary costs and improve system reliability.
5. High Availability: Maintaining system uptime and reliability, especially in production environments.

For tuning Thanos, here are some key recommendations:

1. Caching: Utilize caching mechanisms to speed up query responses. For example, use Thanos Query Frontend with memcached for better performance.

Use object and index cache: https://thanos.io/tip/components/store.md/#index-cache

1. Metric Downsampling: Reduce the resolution of stored metrics to save space and improve query performance. Configure Thanos Compactor to manage data retention and downsampling.
2. Manage Metric Cardinality: Limit the number of metrics collected to avoid performance degradation. Disable unnecessary metrics in your Node Exporter settings.

REF: https://tanmay-bhat.github.io/posts/how-to-drop-and-delete-metrics-in-prometheus/