Case Study: Mistral achieves consistent, AI-assisted monitoring and alerting with Checkly

Mistral standardizes monitoring with Checkly and delegates 98% of changes to AI agents

Mistral, an AI company, faced a challenge where its fragmented monitoring tools could not keep pace with its rapid product velocity. Their previous stack lacked reliability, consistency, and a path to infrastructure as code, preventing the SRE team from effectively monitoring new AI models without manual configuration. Checkly was implemented to provide a Monitoring as Code foundation to solve these issues.

The solution from Checkly enabled Mistral to manage its entire synthetic monitoring, alerting, and public status page workflow through Terraform. This provided consistent, automated checks across all models and integrated with Rootly for efficient alert routing. The results included cleaner operations and a shift to developer self-service, with AI agents now handling 98% of monitoring changes and freeing the SRE team to focus on building abstractions instead of manual tasks.

Mistral