Why Is My AWS EC2 Storage Filling Up So Quickly?

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Asked By TechGuru789 On

I'm running a Next.js frontend along with a Python backend on a single AWS EC2 instance. My frontend plus backend add up to about 6GB in size—around 5GB for Next.js and about 1GB for the Python backend. I started with a 10GB storage limit, which I later expanded to 30GB after receiving a warning about full storage. However, my actual project files should not be pushing things that high.

I'm confused about why my instance is running out of space so fast. Could AWS be saving logs, temporary files, or builds that I'm unaware of? If anyone has insights on what typically consumes disk space on EC2, especially when using Next.js and Python, I'd appreciate the guidance to avoid unnecessary storage upgrades. Thanks!

4 Answers

Answered By CodeMaster123 On

SSH into your instance and take a look around to see what's consuming your disk space. It could be logs or temporary files, but you really need to do some digging to find out. Use commands like `du -hs /* | grep G` to check root-level directories—this will help you identify any folders that contain a lot of data, like `var/log`. Trust me, poking around will give you a clearer picture of what's happening.

Answered By SimplicityIsKey On

Honestly, you should evaluate if AWS is really the best fit for your project. If it's causing you this much trouble, it might be worth exploring other options that could simplify your deployment.

Answered By DevExpert99 On

Well, it's important to remember that Next.js does a lot of server-side caching. This can build up over time, especially if you have a lot of API responses being cached. That might be what's eating up your disk space more than you expect. To tackle this, consider managing your cache or setting up a clearer cache eviction policy. Just keep an eye on those logs too—it’s often where space disappears!

Answered By CloudWizard456 On

You might want to reconsider your setup. It sounds like you're treating your server like a pet instead of a tool. Instead of just growing your storage, think about separating your Next.js frontend and Python backend into different instances. This way, you can scale them independently and potentially avoid storage issues altogether.

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