› Forums › General Melanoma Community › The Most Common MERN Stack Performance Mistakes and How to Fix Them
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Croma Campus.
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- February 25, 2026 at 3:51 am
Currently, technology is advancing rapidly through various software and languages. MERN is a popular technology stack used to build dynamic web and mobile applications. When it comes to getting a MERN stack application to work, it becomes hard enough to get its own. Getting it to work fast, handle real traffic, and stay stable over time is a completely different problem.There are many of the developers who face performance issues at some point. This is not because they built the things carelessly, but because these problems stay hidden during development. Everything runs smoothly on a local machine with the clean test data. You can learn about the problems you may need to face in the MERN Stack Course and how to test them. When the application goes live, real users show up, and the cracks start showing.
Most Common MERN Stack Performance Mistakes:
Here are the mistakes that come up most often and what you can do about them.
Pulling Too Much Data from the Database
This one is everywhere. A query runs, pulls everything from a MongoDB collection, and then the code sorts through it to find what it actually needs. With a small dataset, nobody notices. With a large one, the application starts dragging.
The data should be filtered at the database level before it ever reaches the application. MongoDB has the tools to do this. Use query operators to fetch only what is needed. If results are being displayed in pages, only fetching one page at a time means there is no reason to pull five hundred records when the user sees only twenty.
If you are applying for MERN Stack Training in Noida, then you need to understand that it should cover MongoDB query optimization properly. Because it is one of the best ways to break down the performance in a real app.
Skipping Indexes in MongoDB
Every time a query runs on a collection with no indexes, MongoDB scans every single document in that collection to find a match. On a small collection, that is fine. On a large one, it is slow and gets worse as the data grows.
Setting up indexes on the fields that get queried most, including IDs, email addresses, and dates, speeds up the things up. This is a small thing to set up and make a noticeable difference once the database is carrying real data.
React Components Re-Rendering Too Often
React automatically update the component every time the state is changed. The problem begins when the same components keeps updated when nothing has changed. This usually takes place
When the functions and objects inside the component are being created fresh on every render, even when they do not need to be.
React. memo, use Callback, and use Memo are built to handle this. They are not difficult to use. A lot of developers skip them early on because the performance impact is not visible yet, and then never go back to add them when it becomes a problem.
Anyone who has taken ‘MERN Stack Certification Training should know not just how React state works, but how to manage it so rendering stays efficient as the application gets more complex.
Loading the Entire Application at Once
Many MERN Stack front ends load all their JavaScript in one go. The user sits waiting for the whole bundle to download before anything appears on screen. On a fast connection, it is a small delay. On a slower one, it is long enough for someone to close the tab.
React handles this through lazy loading. Pages and components only load when they are actually needed. It cuts down the initial load time, and the change itself does not take much work to set up. It is one of the better returns on a small investment in a React application.
Writing Synchronous Code in Node.js
Node.js is designed to keep moving. It does not wait for one request to finish before picking up the next. That works well until synchronous code gets into a request handler. A file read, a database call, anything that takes time and is not written asynchronously, as it holds everything up while it runs.
A sync/await exists to prevent this. Writing it correctly from the beginning is a habit that takes very little extra effort and saves a lot of pain later.
Conclusion:
Each of these mistakes follows the same pattern. When something works fine in development, nobody will question it; it goes live, and eventually, the load it was never designed to handle makes it visible. It becomes hard to solve these mistakes. The developers who pay focus on this are more talented as they know what to watch for before this becomes a problem.
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This topic was modified 2 hours, 11 minutes ago by
Croma Campus.
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