The most insidious failure mode in Haskell production systems is the slow-burning memory leak. Your application runs perfectly for days, but the Resident Set Size (RSS) creeps upward until the OOM killer terminates the process. Standard heap profiling ( -hT ) often changes the runtime characteristics enough to hide the bug (the "Heisenbug" effect) or requires restarting the process, destroying the state you need to inspect. The modern solution is ghc-debug . This toolset allows you to connect to a running Haskell process, inspect the heap graph programmatically, and identify thunk buildup without stopping the world for extended periods or recompiling with heavy instrumentation. The Root Cause: Thunks and WHNF Haskell’s memory leaks are rarely "leaks" in the C/C++ sense (unfreed memory). They are almost always unwanted retention . Because Haskell is lazy, an expression like acc + 1 is not evaluated immediately. It allocates a "thunk" (a closure repres...
Practical programming blog with step-by-step tutorials, production-ready code, performance and security tips, and API/AI integration guides. Coverage: Next.js, React, Angular, Node.js, Python, Java, .NET, SQL/NoSQL, GraphQL, Docker, Kubernetes, CI/CD, cloud (Amazon AWS, Microsoft Azure, Google Cloud) and AI APIs (OpenAI, ChatGPT, Anthropic, Claude, DeepSeek, Google Gemini, Qwen AI, Perplexity AI. Grok AI, Meta AI). Fast, high-value solutions for developers.