Choosing your first VPS plan (without overpaying)

Start with the workload, not the specs

Before comparing vCPUs and gigabytes, write down what the server will actually run. A personal site and a reverse proxy? A Node or Python API? A Telegram bot? A handful of cron jobs? Each of these has a very different footprint, and the list — not the pricing page — is what should drive your choice.

Be honest about concurrency too. A blog read by a few hundred people a day and an API polled every second by a mobile app are different animals, even if both feel like 'small projects'. Once you know the workload, the right plan usually picks itself.

RAM is usually the real constraint

On small servers, you'll almost always run out of RAM long before you run out of CPU. Web workloads spend most of their life waiting on the network, but every process you run holds its memory the whole time. When RAM runs out, the kernel starts killing processes — and that's how a ₹ saved on a plan becomes an outage at 2 a.m.

You don't need precise numbers, just honest rough ones. These rules of thumb cover most first servers:

• A static site or reverse proxy is happy with ~512MB–1GB
• A Node or Python API typically wants 1–2GB
• A small database on the same box adds at least another 1GB
• Docker adds overhead — budget extra RAM per container, not just per app

CPU and burst behaviour

Shared vCPUs scare people more than they should. Most web workloads are bursty: a request arrives, the CPU spikes for a few milliseconds, then goes back to idle. Shared cores are built for exactly this pattern, and for the vast majority of sites, APIs and bots they're indistinguishable from dedicated ones — at a fraction of the price.

What you should watch is sustained load. If your workload pins a core for minutes at a time — video encoding, heavy builds, big report generation — a shared vCPU will feel throttled. Check your CPU graphs after launch: occasional spikes are fine, a flat line near 100% means it's time for more cores.

Disk, bandwidth and the things people forget

Disk fills up in ways nobody plans for. Application logs grow quietly for months, backups pile up next to the data they protect, and user image uploads expand forever. A 25GB disk that looked generous on day one can be full by month six — so set up log rotation early and know where your big directories are.

The best fix is to keep bulky, static files off the VPS entirely. Move images, uploads and backups to object storage like Nest Storage: buckets grow without repartitioning anything, your disk stays lean, and bandwidth for serving media stops competing with your app. Your VPS should hold code and hot data — not your media library.

Start small, resize later

Here's the part that saves you money: on Anested Cloud you can resize a VPS in place, so upgrading later beats overbuying now. Buying a big plan 'just in case' means paying every month for RAM that sits empty. Starting small means paying for what you use and upgrading the day the graphs say you need it.

So start on the free or smallest tier, deploy your real workload, and measure for a week or two. If memory sits comfortably below the limit and CPU only spikes, you're done — you found your plan. If not, resize in a couple of clicks and get back to building. That's the whole framework: workload first, RAM honestly, measure, resize.