How do I know if my game has a memory leak?

Look for the leak's signature: memory usage that climbs steadily over a session and never stabilizes (the clearest sign, revealed by profiling over a long session, since a short test won't show the slow growth), crashes that happen after extended play rather than immediately (a leak takes time to cross the device's limit, so a game stable at launch but crashing after a long session is showing leak behavior), and out-of-memory crashes that cluster on low-memory devices (which have the least headroom, so the climbing usage exhausts them first). If you see memory growing over time, crashes correlated with session length, and out-of-memory crashes concentrated on low-RAM devices, you very likely have a leak. Capturing crashes with memory and session-length context lets you spot these patterns, distinguishing a leak (growth over time) from a baseline footprint problem (too much memory used from the start, which crashes low-memory devices quickly and consistently rather than after extended play).

What's the difference between a memory leak and high memory usage?

High memory usage is a baseline footprint problem, your game's steady-state usage is too high, so it can crash a low-memory device quickly and consistently even right after launch, and the fix is reducing your overall footprint. A memory leak is a growth problem, your game allocates memory it never frees, so usage climbs over time during a session until it eventually crosses the limit and crashes, and the fix is finding and releasing the leaked allocations. They show different crash signatures: a footprint problem crashes low-memory devices fast and consistently (the steady-state usage already exceeds what the device has), while a leak crashes after extended play (usage starts fine and creeps up over the session until it crosses the limit), getting more likely the longer the player plays. Both cause out-of-memory crashes that cluster on low-memory devices, so the distinguishing sign is timing: a leak's crashes correlate with session length (after extended play), while a footprint problem's crashes happen quickly regardless of session length. Capturing crashes with memory and session-length context helps you tell which you're dealing with, so you can either reduce your footprint (for a baseline problem) or hunt the leak (for growth over time).

Why do memory leaks crash games after a while instead of immediately?

Because a leak makes memory usage grow gradually rather than being too high from the start, so the game runs fine until the accumulating leaked memory finally crosses the device's limit, which takes time. At launch and early in a session, usage is at a normal level the device can handle, but the leak adds un-freed memory with each relevant action or over time, so usage creeps upward; eventually, after enough play, it exceeds what the device permits and the OS kills the app or it crashes. This is why leak crashes are correlated with session length, the longer the player plays, the more the leaked memory accumulates and the more likely usage is to cross the limit, so the crash comes after extended play rather than immediately. It's also why leaks are easy to miss in short testing: a brief play session doesn't run long enough for usage to climb to the crash point, so the game seems stable, and only extended play (or a long-session memory profile showing the steady climb) reveals the problem. Low-memory devices crash sooner because they have less headroom, so the climbing usage crosses their lower limit faster. The delayed-crash pattern, stable at first, crashing after a while, getting worse with session length, especially on low-memory devices, is the hallmark of a leak, distinguishing it from a baseline footprint problem that crashes quickly and consistently. Capturing crashes with session-length and memory context surfaces this pattern so you can identify the leak.

Signs Your Game Has a Memory Leak

Quick answer: Watch for memory usage climbing over a session, crashes after extended play rather than immediately, and out-of-memory crashes clustering on low-memory devices. A leak grows usage over time until the game crashes.

A memory leak, memory allocated but never freed, makes your game's usage climb until it runs out and crashes, but it can be hard to spot because the crash often comes long after the actual leak. Here are the signs your game has a memory leak.

Memory Usage That Climbs Over Time

The defining sign of a leak is memory usage that grows steadily during play and never stabilizes, rather than settling at a footprint. If you profile over a long session and memory keeps rising, something is being allocated and not freed. This is the clearest, most direct sign.

Bugnet captures crashes with memory context, so you can see whether crashes correlate with high memory usage. Memory that climbs over time, rather than settling, is the signature of a leak, and a long-session profile is what reveals it, since a short test won't show the slow growth.

Crashes After Extended Play, Not Immediately

A leak crashes the game after usage has climbed enough to cross the device's limit, which takes time, so the sign is crashes that happen after extended play, not right at launch. A game that's stable for the first few minutes but crashes after a long session is showing classic leak behavior.

Bugnet captures crashes with session-length context, so leak crashes (which appear after longer play) are identifiable by their timing. Crashes correlated with session length, getting more likely the longer players play, strongly point at a leak rather than a one-off bug or a baseline footprint problem.

Out-of-Memory Crashes Clustering on Low-Memory Devices

Leaks cross the limit fastest on devices with the least memory, so out-of-memory crashes that cluster on low-memory devices are a sign. These devices have less headroom, so the climbing usage exhausts them sooner, making them the first to crash from a leak. If your crashes concentrate there, suspect memory.

Bugnet captures device and memory context with crashes, so out-of-memory patterns on low-memory devices are visible. Crashes concentrating on low-RAM devices, especially combined with the session-length pattern, are a strong leak signal pointing you at hunting the growth rather than chasing the wrong cause.

Watch for memory usage climbing over a session, crashes after extended play rather than immediately, and out-of-memory crashes clustering on low-memory devices. A leak grows usage over time until the game crashes.