A senior Erlang/Elixir developer shares practical insights on keeping real-time messaging platforms operational during peak demand. Key topics include why services fail under load (cascading failures, memory exhaustion, OS-level limits), architectural strategies like decoupling monoliths into services and horizontal/vertical scaling, back pressure mechanisms to prevent cascading overload, operational practices such as dense metrics monitoring and DevOps alerting, and the critical importance of load testing despite its cost and complexity. Real-world examples from betting platforms and dating apps illustrate the stakes involved.
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