How do I know if my game has an out-of-memory problem?

Look at the device, session-length, and timing patterns of your crashes. The clearest sign is crashes clustering on low-memory devices (they have the least RAM and crash first when you use too much memory), so concentration on low-RAM devices while high-memory devices are fine is a strong out-of-memory signal. If the problem is a leak, crashes increase with session length (memory accumulates the longer players play until it crosses the limit), so crashes correlated with session length, stable at first, crashing after extended play, point at a leak. And out-of-memory crashes often cluster at memory-heavy moments (loading a large area, spawning many objects, scene transitions), so crashes at those peak-memory points are a sign of an out-of-memory problem driven by usage spikes. To see these, capture crashes with device, memory, session-length, and breadcrumb context: clustering on low-memory devices confirms out-of-memory, session-length correlation indicates a leak, and timing at memory-heavy moments indicates peak-usage spikes. If your crashes concentrate on low-RAM devices, increase with session length, or cluster at memory-heavy moments, you have an out-of-memory problem, and the patterns tell you the type, a baseline footprint problem (low-RAM clustering, crashes regardless of session length), a leak (session-length correlation), or peak-usage spikes (memory-heavy moments), so you can apply the right fix (reduce footprint, fix the leak, or manage the spikes).

What causes out-of-memory crashes in games?

Out-of-memory crashes happen when your game asks for more memory than the device has, and this has three main sources: too-high baseline footprint, memory leaks, and peak-usage spikes. A too-high baseline footprint means your game's steady-state memory usage exceeds what the device permits, so it can crash a low-memory device quickly and consistently (even right after launch); the fix is reducing your overall footprint (optimizing assets and textures, loading only what's needed) to fit the weakest device you support. A memory leak means your game allocates memory it never frees, so usage climbs over a session until it crosses the limit and crashes (after extended play, getting more likely the longer players play); the fix is finding and releasing the leaked allocations. Peak-usage spikes mean memory briefly spikes at certain moments (loading a large area, spawning many objects, scene transitions where old and new content are both in memory), pushing constrained devices over the limit at those moments; the fix is managing the spikes (e.g. unloading old content before loading new). All three cause out-of-memory crashes, and they're especially common on mobile and low-end devices because those have limited RAM and the OS aggressively kills apps that use too much. The crash signatures differ: a baseline footprint problem crashes low-memory devices fast and consistently, a leak crashes after extended play (session-length correlated), and peak spikes crash at specific memory-heavy moments. Capturing crashes with device, memory, session-length, and breadcrumb context helps you tell which is responsible (low-RAM clustering for footprint, session-length correlation for leaks, timing at memory-heavy moments for spikes), so you can apply the right fix. So out-of-memory crashes are caused by your game using more memory than the device has, from a too-high baseline footprint, leaks (growth over time), or peak-usage spikes, and addressing them requires identifying which (via the crash patterns) and reducing the relevant memory usage (footprint, leaks, or spikes) to fit within the constraints of the devices you support, especially the low-memory ones where out-of-memory crashes concentrate.

How do I fix out-of-memory crashes?

Reduce your memory usage to fit within the constraints of the devices you support, targeting the specific source, baseline footprint, leaks, or spikes, that your crash data indicates. First, identify the source from the crash patterns (captured with device, memory, session-length, and breadcrumb context): low-RAM clustering with crashes regardless of session length indicates a too-high baseline footprint, session-length correlation indicates a leak, and crashes at memory-heavy moments indicate peak-usage spikes. Then fix the relevant source. For a baseline footprint problem, reduce your overall memory usage: optimize assets and textures (compress, reduce resolution), load only what's needed at a time, and budget your footprint for the weakest device you support, so your steady-state usage fits within low-memory devices' limits. For a leak, find and release the leaked allocations: profile memory over a long session to confirm the growth, then track down what's allocated but never freed (often around object and scene lifetimes, things destroyed but their memory or references retained), and fix the cleanup so usage stops climbing. For peak-usage spikes, manage the spikes: for example, unload old content before or during loading new content (so the transition doesn't briefly hold both), stagger heavy allocations, and avoid spiking memory at moments like loading and spawning. Across all sources, offering settings that scale the game down (lower-quality assets, reduced effects) helps low-end devices stay within their limits. After fixing, verify in the field: watch whether the out-of-memory crashes stop on the affected devices on the fixed version (per-version, device-filtered tracking confirms it). So you fix out-of-memory crashes by identifying the source from the crash patterns and reducing the relevant memory usage, footprint (for baseline), leaks (for growth over time), or spikes (for peak moments), to fit within the devices' memory constraints, then verifying the crashes stop. The key is that out-of-memory crashes are fundamentally a memory-usage-versus-device-capacity problem, so the fix is reducing your usage (in the right place) to fit the capacity, especially on the low-memory devices where these crashes concentrate, and capturing crashes with memory context is what tells you which usage (footprint, leak, or spike) to reduce.

Signs Your Game Has an Out-of-Memory Problem

Quick answer: Watch for crashes clustering on low-memory devices, crashes increasing with session length, crashes at memory-heavy moments, and out-of-memory in your crash data. The device and memory pattern reveals an out-of-memory problem.

An out-of-memory problem, your game using more memory than the device has, is a leading crash cause on mobile and low-end hardware. Here are the signs your game has an out-of-memory problem.

Crashes Clustering on Low-Memory Devices

The clearest sign is crashes clustering on low-memory devices, since they have the least RAM and crash first when your game uses too much. If your crashes concentrate on low-RAM devices while high-memory devices are fine, that's a strong out-of-memory signal, the devices with the least headroom hit the limit first.

Bugnet captures crashes with device and memory context, so clustering on low-memory devices is visible. Crashes concentrating on low-memory devices is the clearest out-of-memory sign, and the memory context confirms it, distinguishing an out-of-memory problem from other device-specific crashes that might cluster differently.

Crashes That Increase With Session Length

If the out-of-memory problem is a leak, crashes increase with session length, the longer players play, the more memory accumulates until it crosses the limit. So a sign is crashes correlated with session length, a game stable at first but crashing after extended play, indicating a leak driving the out-of-memory crashes.

Bugnet captures crashes with session-length context, so leak-driven out-of-memory crashes (which appear after longer play) are identifiable. Crashes increasing with session length point at a memory leak as the source of the out-of-memory problem, which tells you to hunt the growth (the leak) rather than just the baseline footprint.

Crashes at Memory-Heavy Moments

Out-of-memory crashes often cluster at memory-heavy moments, loading a large area, spawning many objects, transitioning scenes (when the old and new are both briefly in memory). So a sign is crashes concentrated at these peak-memory points, where the footprint spikes and pushes constrained devices over the limit.

Bugnet captures crashes with breadcrumbs, so crashes at memory-heavy moments (like loading) are identifiable. Crashes at memory-heavy moments are a sign of an out-of-memory problem driven by peak usage (not just steady-state), pointing you at reducing the memory spikes at those moments (e.g. managing the transition when old and new content are both in memory).

Watch for crashes clustering on low-memory devices, crashes increasing with session length, crashes at memory-heavy moments, and out-of-memory in your crash data. The device and memory pattern reveals an out-of-memory problem.