Log in
Build Your Site

Out of Memory Error Fixed: Proven Methods That Actually Work

“Out of memory” errors got you stuck? This guide breaks down root causes and offers step-by-step solutions to fix error code out of memory issues across environments.

Build Site Free
300,000+
websites generated
please Refresh
The error of the system having problems with the memory because it has been filled is usual in modern work on software and websites, but is extremely negatively impactful. It is capable of causing programs to fail, pages to freeze, and losing information. The “out of memory” error code can also push customers out the door and damage the entire service. Website managers, web designers, and developers also encounter this issue at times. However, the error code: out of memory could be corrected. Solveable problems, when we are aware of the causes of their occurrence, apply the correct tools, and make plans to work. This article will introduce 10 ways to fix the error code out of memory. They will make your app steadier, reliable, and capable of expansion.

What is Error Code: Out of Memory

Memory Out Error Code occurs when a program halts due to an inability to access sufficient memory. This happens most of the time in cases with a lot of information, such as opening large files, processing bigger quality images or videos, performing complex calculations, or opening too many lists or activities at once. It may also occur in cases where the program continues to consume more memory without releasing it, such as when a program creates a lot of objects, making too many calls to functions, or in times when the program retains data that is no longer required.
There are several principal causes of the “out of memory” error code. There is a possibility that the program is not functioning adequately with memory, or that the system has rigid memory limitations, or that the code may have issues such as infinite loops that go on to consume additional usage of memory. In other instances, it is aggravated by data storage (such as large or sloppy structures). The error is possible even on powerful computers in case the program lacks monitoring and management of its memory usage.
The hopeful thing is that the majority of memory errors might be traced and rectified.Most of these issues can be fixed or even prevented before they occur, by writing more competent code, using memory checking tools, configuring the system properly, dealing with data more effectively, and maintaining an eye on memory usage.
If you want to find the best AI tools for developers, click the article: ⬇️

10 Ways to Fix Error Code Out of Memory

In case you create or operate web apps, compositions, or browsers, the error message can have the fault code, out of memory. This is when the system has no memory. Different areas of your project should be inspected and refined to repair this. Check the code, the settings, the design, and the app structure. Here are 10 ways to find and solve the “out of memory” error code.

#01 Code-Level Fixes

In order to solve the problem of error code: out of memory, we need to conduct comprehensive troubleshooting and optimization at the code, configuration, architecture, and even deployment level. The following 10 methods will help you locate and fix such errors and propose preventive measures.
How to fix error code: out of memory
  • Avoid creating or loading a large number of arrays, objects, or image resources at one time.
  • Set objects to null or use delete to release them in time after data processing.
  • Limit temporary variables to function scope to avoid global pollution.
  • Use try...finally to ensure that resources are released during exception handling.
  • Unbind event listeners before removing DOM nodes to avoid dangling references.
Notes
It is suggested that a memory snapshot tool should be applied to see the difference between unoptimized and optimized effects. Even though the impact of rectification of problems at the code level is instant, thorough scrutiny of the code is much needed to prevent the introduction of new problems in the future.

#02 Memory Leak Detection Tools

The primary stealthy cause of out-of-memory errors is memory leaks. This is more prevalent in complicated or numerous lasting applications.
How to fix the error code out of memory
  • Use Chrome DevTools' Memory tab to analyze heap snapshots.
  • Use heapdump to generate snapshots in Node.js applications and analyze with VisualVM.
  • Introduce why-did-you-rendering Web projects to check for useless component updates.
  • Mobile developers can use LeakCanary (Android) or Instruments (iOS).
  • Use professional APM tools (such as New Relic, Datadog) to continuously track memory usage.
Notes
Detection and analysis should be performed with the help of professional tools. It is to make monitoring tools available at the development stages and to do memory stress testing in the test environment to identify the threat of leakage and be able to eliminate it before getting the product online.

#03 Configuration-Based Fixes

During the development or putting a container on the field, the memory specification of the running environment is usually limited. When these combinations are not reasonable, there is are high chances of inducing memory errors whenever handling big jobs. One can configure the program to get additional free space to prevent possible crashes.
How to fix error code: out of memory
  • JVM increases the heap size: -Xmx2048m -Xms512m.
  • Node.js startup parameters increase the memory limit: --max-old-space-size=4096.
  • PHP modifies the php.ini file: memory_limit=512M.
  • Docker container limit configuration: set the--memory parameter to control memory usage.
  • Python can use the resource module to limit the upper limit of process memory usage.
Notes
Too high a configuration may also affect the stability of other system services. It is recommended to set a reasonable upper limit based on the actual system memory resources, application types, and usage scenarios.

#04 Architecture-Level Improvements

Software architecture has led to unreasonable system memory bottlenecks in high-concurrency, high-load systems. Memory overflow is likely to occur in monolithic structures or shared memory models. Memory load on the source can be relieved by optimizing the architecture, which increases the stability of the system.
Image by Istock
How to fix the error code out of memory
  • Split large monolithic services and implement a microservice architecture.
  • Introduce asynchronous message queues (such as RabbitMQ, Kafka) to reduce peaks and fill valleys.
  • Handle state preservation to middleware such as Redis to reduce local storage pressure.
  • High-concurrency services use thread pools to limit resource consumption.
  • Use CDN and edge cache to reduce source server pressure.
Notes
The optimization of architecture often includes the refactoring process, which presupposes the thorough assessment and the creation of a transition plan that does not create other resource bottlenecks or inflate the maintenance costs of a new architecture.

#05 Cloud & Deployment-Level Solutions

The resource configuration and automation capabilities of the deployment layer directly determine whether the system is recoverable and elastic. The automatic mitigation of errors caused by "out of memory" errors can be performed in a cloud environment by elastic scaling, isolation of resources, etc., without disruption to the overall service.
How to fix Chrome out of memory
  • Configure container requests and limits in Kubernetes to limit resource usage.
  • Use HPA (Horizontal Pod Autoscaler) to automatically scale container instances.
  • Configure container restart policies, such as automatic restart when OOMKilled.
  • Use cloud platform monitoring tools (such as CloudWatch, Grafana) to track memory trends.
  • Enable service mesh (such as Istio) to manage traffic transfer for high-memory services.
Notes
There are effective policies in cloud platforms to alleviate the problem, but they are yet to be implemented at the source of code and configuration. We should suggest monitoring the memory usage changes continuously, even in the implemented environment.

#06 Data Processing Optimization

The greatest memory casualty is in large data processing. When one reads or parses a big set of files at a go or when the interface summons up too much information, memory overflow is very trivial. Memory load can be minimized greatly by optimization of data processing procedures and by application of batching, delayed loading, and the like techniques.
How to fix Chrome out of memory
  • Use paging interfaces (such as limit/offset) to request data in segments.
  • File reading uses streaming reading (such as Node.js's fs.createReadStream).
  • Avoid SELECT *when querying the database, and only get the necessary fields.
  • Backend services pre-aggregate data, and the front end only gets the fields required for display.
  • Use batch processing logic to avoid processing large tasks at one time.
Notes
The optimization of data processing is useful not only in terms of efficiency of using memory, but also yields a decrease in request time, and has a very strong effect on the performance of the backend interface.

#07 Efficient Data Structures

The correct data structure can make huge savings in terms of memory. In one example, whereas the flexible data structures like linked lists require a lot of computer memory, the data structures like hash tables and sets are more effective in deduplication and search.
Image by Istock
How to fix Chrome out of memory
  • Use Set instead of Array to implement deduplication.
  • Use maps instead of ordinary objects to manage key-value pairs for better performance.
  • If there is no need for insertion and deletion, use an Array instead of a linked list.
  • Reduce the object nesting level to avoid complex reference chains.
  • Avoid excessive nesting of JSON data on the front end.
Notes
You are encouraged to take into consideration the structure selection at the initial phase of the design of the data model to avoid spending a lot of money on modifications as time progresses. You have to be careful whenever you are required to process significant amounts of data.

#08 Garbage Collection Tuning

Despite a powerful recycling mechanism of the modern language, the standard settings do not always adapt properly to fine business operations. Adjustment of certain parameters of garbage collection or garbage collection strategies will allow you to use memory more efficiently, to reduce program pauses or continuous memory growth in the GC.
How to fix error code: out of memory
  • Enable low-pause collectors such as G1 GC and ZGC in the JVM.
  • Node.js uses the--trace-gc parameter to debug GC behavior.
  • Monitor GC cycles and frequencies to prevent frequent triggering.
  • Use WeakMap or WeakRef to store temporary caches to reduce persistent references.
  • Turn on GC logs in Python and manually trigger garbage collection at the right time.
Notes
When fine-tuning the GC, one should consider operating tools, like JConsole and node-memwatch, to achieve a compromise between performance and stability.

#09 Reduce Third-Party Dependencies

The excessive use of third-party libraries will bring quite a volume of unused code, or redundant code modules. This not only grows the bundle, but it can also result in run-time memory waste. Memory pressure can be minimized through streamlining of dependencies and importation on demand.
Image by Istock
How to fix the error code out of memory
  • Regularly review package.json or requirements.txt and remove useless packages.
  • Replace some common tool libraries (such as lodash) with native methods.
  • Enable Tree Shaking (such as Webpack) to remove unused modules.
  • Avoid importing all UI libraries and only import components on demand.
  • Use CDN to import public libraries to reduce local packaging and usage.
Notes
The early phase of a project is not the time to say take-it-as-it-is. Any library that you introduce should be analysed in terms of whether it is necessary and incurs overhead in memory.

#10 Lazy Loading and Caching Strategies

With the technology of lazy loading, the loading of resources can be deferred, and loads of modules or data do not need to be loaded in the initial stages. Taken together with a sensible choice of cache strategy, it not only minimizes the initial memory load, but also eliminates redundant calculations or redundant requests to the data. It is an ordinary performance optimization technique for both sides of front-end and the back-end.
How to Fix error code: out of memory
  • The front-end uses the lazy loading component mechanism of frameworks such as Vue and React.
  • Load modules on demand (such as import(), dynamic import).
  • Use the LRU (least recently used) strategy to implement the memory cache.
  • Detect user behavior before loading resources (such as pictures and videos) and then decide whether to load.
  • Data cache uses timestamps or version numbers to automatically clean up stale data.
Notes
The hit rate and cleanup technique in memory should be a consideration in the cache mechanism. Prevent the duplication of loading issues due to so-called cache pollution or expired caches.
Struggling with other HTTP error codes, click the articles below for fixes: ⬇️

How to Proactively Prevent “Out of Memory” Error Code

Programs can crash due to the presence of errors known as Chrome out of memory. They may result in other severe problems as well. As an illustration, the data may be lost, the system may become unstable, and the users may experience worse. Check user experience design strategy to improve your site design. However, these problems can be avoided. A lot of these errors can be avoided by using easy development guidelines, proper resource management and watching the system with eagle eyes. Some of the most common proactively preventive measures are the following:
Image by Istock
  • The application memory needs should be estimated at the stage of the project establishment, and the limits on the usage of the memory, as well as the objectives of the optimization, are supposed to be set.
  • Minimize or prevent closure abuse, overuse of global variables, non-cleaned timers, and event listeners, which typically are the cause of memory leaks.
  • Not to mention memory analysis tools (Chrome DevTools, Valgrind, VisualVM) to verify the memory growth patterns regularly in the test or pre-release environment.
  • The resource consumption of a third-party library should be considered before we introduce them every time to prevent too heavy dependencies or libraries with overlapping functions.
  • This should be loaded as and when really required to decrease first-time memory pressure, be it a component, module, or data.
  • Set up monitoring and threshold alarms for the use of memory in the production one. When the safety line is overstepped, automatic rollback, restart, or call to operation and maintenance may arise.
  • The memory limit and recycling strategy are rectified according to the requirement of the memory limit of such environments as JVM, Node.js, Docker, etc.
  • The straightforward logic and structure are less demanding to maintain, less memory is required, and its management is more definite, leading to avoiding hidden repetition.

Conclusion

An emergence of the error code: out of memory is usually an indication of the existence of gaps or loopholes associated with memory management, system design, or resource scheduling. But it is indeed true that OOM errors are predictable, trackable, and repairable. Most memory problems can be solved successfully as long as you observe good resource management practices throughout your development and deployment phases with the assistance of relevant tools and strategies.
When you do not know development, but wish to make a well-designed website, use Wegic, your best no-code web builder. Wegic assists you in creating websites that operate both on phones and computers. It also saves your time on speed and technicalities. In such a way, you will be able to concentrate on your content and the way your site appears. There is no need to be afraid of errors. Sign up for a Wegic account now and let AI handle the tedious technical and design details for you to create a professional website.

Written by

Kimmy

Published on

Jun 19, 2025

Share article

Webpages in a minute, powered by Wegic!

With Wegic, transform your needs into stunning, functional websites with advanced AI

Free trial with Wegic, build your site in a click!