Store files without limits, and without buying more disks.

Your server disk is 80 percent full, and that number climbs every month. What fills it is not programs but files: scanned invoices, photos from field staff, exported reports, and backups nobody dares to delete. When the warning appears, someone buys more space or deletes something and hopes it was not needed. That is not a storage policy. It is postponing the problem.

Why your disk keeps filling up

A server disk has a fixed size. You buy it once, and from then on every new gigabyte pushes another one out. For a company that keeps documents, this goes only one way. An accounting firm with a 7-year retention duty, a care provider that keeps patient records, a wholesaler that photographs every delivery: the pile never gets smaller.

Space is not the only problem. A full disk makes your backup slow, your recovery uncertain, and your server vulnerable to a single failure. And because the files sit on the same machine as your application, that machine has to grow for a reason that has nothing to do with computing power. You pay for a heavier server when all you need is a bigger cabinet.

What object storage does differently

Object storage moves the files away from the server that uses them. Each file gets its own address in a bucket, and your application fetches it from there when needed. No disk fills up, because the space is not divided in advance. You can put in a hundred files or ten million, and your software works the same way.

The language you use for this is the S3 API. It works the same with nearly every provider, which is exactly why we use it: your code talks to a standard, not to a vendor. When your application asks for a file, the user gets a temporary link that expires after 15 minutes, so a shared attachment does not stay open for years. If you want uploads processed without running a server for it, that fits with Serverless computing.

Moving your files

We start with what you have now. How many files are there, how big are they, which are opened daily, and which have not been opened since 2019? That decides how many storage classes you need and which files can go to cheaper, slower storage. Then we set up the buckets and change the piece of code that now writes to a folder on the disk.

Within 10 business days, a prototype runs that your own application really writes to, with your own files. Only when that works do we copy the rest. Then we check that every file on the other side is still exactly the same. The old folder stays for a while, until you say it can go. If more than the storage moves, for example the whole application, we handle that as Cloud migration.

Access, cost, and ownership

A bucket is closed by default. We give each application its own key with only the permissions it needs: the online store may write, the reporting process may read, and nobody may delete without a reason. We switch on versioning, so an overwritten or deleted file can be recovered. The files are encrypted at rest and in transit.

You pay for what is stored and for what you retrieve, so costs grow gradually instead of in jumps. A lifecycle rule moves old versions to cheaper storage or removes them, and over time that saves more than any negotiation. We choose an EU region and document that choice. The storage sits in our managed environment, and you remain the owner of the files and the keys. If you prefer the storage on hardware that is yours alone, we look at Private cloud.