Real-Time Monitoring Fastly Metrics with the Elastic Stack and Haskell

Tyler Langlois discusses the development and functionality of Beefheart, a Haskell-based tool created by the Elastic Stack's Infra team to enhance real-time monitoring of Fastly metrics. The tool leverages Fastly's real-time metrics API to collect data and indexes it into Elasticsearch, allowing for custom dashboards in Kibana to track CDN performance globally. Beefheart is designed to auto-discover Fastly services, incorporates retry logic for network stability, and manages data lifecycle for efficient storage. Haskell's strong type system and concurrency capabilities were explored during the development, resulting in a tool that performs tasks concurrently using the async package and STM for thread-safe operations. The project reflects Elastic's "Space, Time" principle by experimenting with Haskell to build a production-ready service, and it encourages contributions and feedback from the community on GitHub.

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