How to improve query performance in Prometheus with Cortex query frontend

Prometheus and Grafana are powerful tools for monitoring and visualizing data, but running queries against large datasets can be slow. Caching with Cortex query frontend can significantly improve query performance by storing the results of frequently-run queries in memory, reducing the time it takes to load dashboards and view data. Cortex query frontend is a proxy that sits between Grafana and Prometheus, and its configuration includes settings like caching enabled, HTTP prefix, server port, split queries by interval, cache size, validity, and downstream URL. By installing Cortex query frontend and configuring it properly, users can reduce response times for queries by nearly 10x, making it ideal for dashboards that are consumed by multiple users and help reduce the load on the Prometheus server. Additionally, Aviator is a tool that automates cumbersome merge processes, managing git Pull Requests and continuous integration test runs to streamline workflows and maintain security compliance.

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