Original Post: Guardrails for PromQL using Semgrep
Michael Hoffmann, a Site Reliability Engineer at Aiven, discusses the challenges of writing effective PromQL expressions for monitoring systems like Prometheus and Thanos. Hoffmann explains that crafting these expressions demands extensive domain knowledge and understanding of the query engine. He provides coding examples showcasing common pitfalls, such as missing label matchers and incorrect subquery usage.
To automate the detection of such issues, Hoffmann introduces Semgrep, a static analysis tool that recently added support for PromQL. By defining specific rules in Semgrep, users can catch errors in PromQL expressions automatically. Hoffmann provides a detailed walkthrough for setting up and using these rules to ensure robustness in monitoring setups.
He concludes by inviting feedback on the experimental PromQL support in Semgrep and expresses gratitude to the Semgrep community for their support.
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