Object storage often gets pigeonholed as “where backups go.” In practice it’s the default storage layer for a surprising range of workloads, because its strengths — cheap, scalable, HTTP-accessible, write-once-read-many — map onto so many real problems. Here are eight object storage use cases you’ll actually meet, and why each fits.
1. Backups and disaster recovery
The classic case. Object storage is cheap per GB, durable, and off-site by design. Tools like Veeam, restic and Duplicati write straight to an S3 endpoint. Versioning protects against ransomware; lifecycle rules move old restore points to colder tiers or expire them.
2. Media libraries and asset delivery
Images, video, audio and downloads scale infinitely and are served directly over HTTP. Pair a bucket with a CDN and you have a media platform. Here egress fees matter most — a read-heavy media workload can cost more in transfer than in storage on the wrong provider.
3. Static website and app assets
JS, CSS, images and downloadable files served from a bucket keep them off your application servers and let them scale independently. Static-site generators and single-page apps deploy naturally to object storage.
4. Data lakes and analytics
Raw and processed data lands in object storage, then query engines (Spark, Trino, DuckDB, Athena-style tools) read it in place. The flat namespace and S3 API make it the standard substrate for analytics without a database in the middle.
5. AI and ML datasets
Training sets, embeddings and model checkpoints live in buckets that data loaders read in parallel. Because everything speaks S3, the same storage serves experimentation and production inference. (More on this in our guide to object storage for AI.)
6. Log and event archives
High-volume logs and events that you rarely read but must retain — for audit, compliance or debugging — belong in cheap object storage, not an expensive hot database. Lifecycle rules handle retention automatically.
7. Application uploads (user-generated content)
Profile pictures, document uploads, attachments — anything your users submit. Presigned URLs let clients upload directly to the bucket, keeping large files off your app servers entirely.
8. Software distribution and artifacts
Build outputs, container layers, package registries and release binaries are immutable blobs distributed over HTTP — a perfect object storage fit, versioned and globally reachable.
The common thread
Every one of these is write-often-or-once, read-over-HTTP, and scale-without-planning. The variables that decide which provider are always the same: egress cost (for read-heavy cases), data residency (for regulated data), and S3 compatibility (so your existing tools just work).
If your workload leans read-heavy or handles EU data, an egress-free, EU-hosted, S3-compatible provider covers most of these cases without surprises. Internetport’s object storage is exactly that — with a free 10 GB tier to prototype any use case above. To choose confidently, start with our object storage provider comparison.