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Erlang OTP: Distributed & Fault-Tolerant Systems Programming · Lesson

Memory Analysis & Garbage Collection Tuning

Diagnose memory growth, inspect per-process heaps, and tune Erlang garbage collection to keep long-running nodes healthy.

Memory Analysis & Garbage Collection Tuning is a free Erlang OTP: Distributed & Fault-Tolerant Systems Programming lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Erlang OTP: Distributed & Fault-Tolerant Systems Programming learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Why Memory Matters

Erlang nodes can run for months. A small per-process leak or unbounded mailbox grows silently until the node is killed by the OS. Observability into memory is essential.

System-Wide Memory

erlang:memory/0 returns a breakdown: total, processes, atom, binary, ETS and more. Watch the categories that grow over time.

erlang:memory().

Per-Process Inspection

process_info/2 reveals a single process heap, message queue length and more — key for finding the culprit.

process_info(Pid, [memory, message_queue_len, heap_size]).

The Mailbox Trap

If a process receives faster than it handles, its mailbox grows without bound. A large message_queue_len is the classic sign of an overloaded consumer.

Binaries and Refc Leaks

Large binaries are reference-counted and shared off-heap. A process holding a tiny sub-binary can pin a huge parent binary. Watch the binary memory category closely.

Finding the Worst Offenders

Sort all processes by memory to find leaks fast.

lists:sort(fun({_,A},{_,B}) -> A > B end,
  [{P, element(2, process_info(P, memory))} || P <- processes()]).

How Erlang GC Works

Each process has its own private heap and is garbage-collected independently — there is no global stop-the-world pause. Collection runs when a process heap fills.

Triggering GC Manually

For a process you suspect is holding garbage, force a collection and re-measure.

erlang:garbage_collect(Pid),
process_info(Pid, memory).

Tuning the Heap

Spawn options like min_heap_size and fullsweep_after tune GC for hot processes, trading memory for fewer collections.

spawn_opt(fun work/0, [{min_heap_size, 1000}, {fullsweep_after, 10}]).

Hibernation

Idle processes can call hibernate to compact their heap to the minimum, freeing memory until the next message arrives — great for many mostly-idle connections.

proc_lib:hibernate(?MODULE, loop, [State]).

Watching ETS Tables

ETS tables live outside process heaps and do not shrink automatically. A growing ets memory category often means stale rows; periodically prune or use tables with a bounded size.

ets:info(my_table, memory).

Quick Check

Test your memory tuning knowledge.

Recap

You learned to analyze and tune memory:

  • erlang:memory/0 gives a system-wide breakdown
  • process_info/2 inspects per-process heap and mailbox
  • Growing mailboxes and pinned binaries are common leak sources
  • Each process is GC-ed independently; no global pause
  • Tune with spawn options and use hibernate for idle processes

Frequently asked questions

Is the “Memory Analysis & Garbage Collection Tuning” lesson free?

Yes — the full text of “Memory Analysis & Garbage Collection Tuning” is free to read here on the web, and the Erlang OTP: Distributed & Fault-Tolerant Systems Programming course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Erlang OTP: Distributed & Fault-Tolerant Systems Programming course, upgrade to CoddyKit PRO.

What will I learn in “Memory Analysis & Garbage Collection Tuning”?

Diagnose memory growth, inspect per-process heaps, and tune Erlang garbage collection to keep long-running nodes healthy. You practise Erlang OTP: Distributed & Fault-Tolerant Systems Programming with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Erlang OTP: Distributed & Fault-Tolerant Systems Programming?

No prior experience is required. Erlang OTP: Distributed & Fault-Tolerant Systems Programming on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Memory Analysis & Garbage Collection Tuning” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Erlang OTP: Distributed & Fault-Tolerant Systems Programming lesson?

Yes. Every Erlang OTP: Distributed & Fault-Tolerant Systems Programming lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Erlang Profiling Techniques
  2. Tracing & Debugging Distributed Systems
  3. Metrics & Monitoring Integration
  4. Memory Analysis & Garbage Collection Tuning
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