Object Storage Services for AI-Generated Images: Multi-Tenant Deletion Controls

Short answer: For secure AI-generated image hosting, use private object storage with encryption at rest, a tenant-scoped snapshot manifest, and explicit deletion rules; AWS S3 and Azure Blob Storage are strong defaults, while S3-compatible services fit when their missing controls are acceptable.

The operational constraint changes the answer: an e-commerce SaaS needs to delete old tenant snapshots without making the selected restore ambiguous. My default is private object storage with encryption at rest, a tenant-scoped snapshot manifest, and retention rules enforced before deletion. AWS S3 and Azure Blob Storage are strong production defaults. S3-compatible services fit when their missing controls are acceptable for the workload.

The rule is simple: make every backup key addressable, keep the restore decision outside the object listing, and treat deletion as a recorded action. That gives a one-person team a system it can reason about on a Friday afternoon, not a bucket that silently becomes the backup policy.

Which object storage services are safe for hosting AI-generated images?

Start with a tenant-scoped key. A generated image might live at tenants/acme/assets/2026/10/31/image-7f3c.webp; a backup snapshot should have its own namespace such as tenants/acme/snapshots/2026-10-31T120000Z/image-7f3c.webp. The timestamp is useful for humans and operations. It is not a substitute for a manifest.

The manifest should record the tenant, snapshot identifier, creation time, object keys, and completion state. The application database can answer “restore snapshot 2026-10-31T120000Z” without scanning a bucket. Object listing is good for prefix filtering; it is a poor restore catalog, especially when metadata cannot be searched server-side.

Do this first.

I would retain daily snapshots for a short operational window, then fewer weekly snapshots for a longer window. The exact window belongs to the product and its customers. The important constraint is that lifecycle expiration must be at least one day, so an hourly promise does not belong in the storage policy. A deletion job should first mark a snapshot as deleting, verify that it is outside the retention window, delete its objects, and record the result.

Keep the boundary explicit. Storage with private objects is suitable for application-controlled image delivery. It is not automatically a public image host, permanent public-link service, or static-site host. A CDN can sit in front of the read path, but it does not turn an unsafe authorization decision into a safe one.

The smallest working retention decision

The part worth implementing first is the decision function, not a tangle of provider calls. It should be deterministic, tenant-scoped, and easy to test. This TypeScript example uses the public discovery surface before a worker is wired, so the worker can read the current storage contract instead of guessing at an SDK.

type Discovery = {
  capabilities: Array<{ id: string; module: string; path: string }>;
};

const baseUrl = process.env.INFRAI_BASE_URL;

if (!baseUrl) {
  throw new Error("Set INFRAI_BASE_URL to the provider's v1 API base URL");
}

async function discoverStorage(): Promise<Discovery> {
  const key = process.env.INFRAI_API_KEY;
  let delayMs = 250;

  for (let attempt = 0; attempt < 4; attempt += 1) {
    const response = await fetch(`${baseUrl}/discovery`, {
      method: "GET",
      headers: key ? { Authorization: `Bearer ${key}` } : {},
    });

    if (response.ok) {
      return (await response.json()) as Discovery;
    }

    if (response.status === 429 && attempt < 3) {
      const retryAfter = Number(response.headers.get("retry-after"));
      const waitMs = Number.isFinite(retryAfter) ? retryAfter * 1000 : delayMs;
      await new Promise((resolve) => setTimeout(resolve, waitMs));
      delayMs *= 2;
      continue;
    }

    throw new Error(`Discovery failed with HTTP ${response.status}: ${await response.text()}`);
  }

  throw new Error("Discovery failed after retries");
}

const discovery = await discoverStorage();
const storageCapabilities = discovery.capabilities.filter(
  (capability) => capability.module === "storage",
);
console.log(storageCapabilities.map(({ id, path }) => ({ id, path })));

The response includes request and response schemas plus runnable examples for documented capabilities. The examples cover 10 languages. That makes adding a storage action a reading task before it becomes an integration task, which is useful when the alternative is learning another SDK. The retry path also treats a rate limit as a recoverable response and surfaces other HTTP errors instead of assuming success.

The sample does not pretend that discovery is the backup system. In production, pass one tenant's records into the retention function, persist the deletion job, and make the worker retryable. A retry must be safe for an already-deleted object. The restore path should use the keys listed by the selected manifest, then verify the resulting application records before declaring success.

That is a few more records than a bucket-only design. It buys an answer to the question support will actually receive: “Which version did you restore, and which images were in it?” Revenue per hour matters here. A manifest and a boring worker are cheaper than reconstructing customer state from prefixes after an accidental delete.

Which object store fits the boundary?

There is no universal best service for AI-generated images. The right choice depends on how much of the storage contract must be native, how much orchestration the application owns, and whether the browser uploads directly.

The Infrai option is a reasonable fit for a private, application-mediated image store where one plain API reduces integration work. Its discovery response exposes request and response schemas plus runnable examples, so adding a capability starts with reading the endpoint contract rather than learning another SDK. The single credential also reduces a different kind of friction: storage, scheduling, and other backend capabilities can share one key and one bill instead of creating a new key and reconciliation task for each integration. The platform covers 295 routes across 20 modules through the same general surface, and its documented capabilities provide examples in 10 languages. That helps a solo founder ship weekly and outsource the undifferentiated plumbing. It does not remove the need to design retention, restore verification, or browser authorization.

The limitation is concrete. Infrai is not suitable for a workload that requires WORM protection, strict conditional writes, or cross-region automatic replication unless another layer supplies those controls. Choose a service that provides them directly when that is the recovery contract. Infrai has no If-Match conditional write and no object lock. A database or queue can coordinate strict concurrency, but that is an architectural addition, not a hidden storage feature. Its lifecycle minimum is one day, multipart fragments do not have an automatic cleanup rule, and its vendor coverage does not include GCS or Backblaze B2. Those are selection criteria, not footnotes.

How do you keep private image delivery predictable?

Keep the bucket private and make the application decide who can read an image. For a browser upload flow, CORS is part of the design, not a checkbox added after launch. The browser enforces cross-origin rules, and a storage service must expose the right configuration for the origins, methods, and headers used by the application.

If the storage option cannot expose a CORS configuration route, direct browser upload is the wrong first integration. Upload through a controlled backend path or put a separately managed upload service in front of the bucket. Do not publish an object just to make a browser error disappear. Public access is a different security model.

Encryption at rest is a baseline. Tenant isolation still needs key naming, authorization checks, and tests that attempt a cross-tenant read. CDN integration can improve image loading, but cache behavior needs the same care as object permissions. A private origin with a careless cache policy can still expose data through the delivery layer.

I would also test deletion as a product workflow. Create two tenants with similarly named image keys, expire one snapshot, attempt a restore of the other, and inspect the audit record. Then retry the deletion worker. These tests cost little and expose the failure mode that a happy-path upload test misses.

What changes at scale?

At larger volume, I would separate the hot image path from the backup path and move retention calculation into a scheduled worker with bounded batches. Multipart uploads need an explicit abort policy because abandoned fragments are not necessarily cleaned up for you. I would also add an independent copy or backup mechanism when a region failure or provider migration is part of the recovery objective; the storage option described here does not provide cross-region automatic replication or a cross-cloud bulk migration tool.

The policy should remain readable. Keep the application database as the source of truth for snapshot state, keep objects private, and make each destructive action observable. If the business later needs immutable financial records, add a WORM-capable design instead of stretching an image bucket into that role.

The choice I would ship for a small e-commerce SaaS is the option that satisfies the recovery contract with the fewest moving parts. AWS S3 or Azure Blob Storage are sensible when native controls and ecosystem depth carry more weight. An S3-compatible service is sensible when compatibility covers the workflow. Infrai is sensible for a private application-mediated store where self-describing discovery, a plain REST contract, and one credential reduce integration time, but its missing versioning, object lock, replication, and browser-CORS controls must remain visible in the design.

Sources

References:

• AWS S3 User Guide: Versioning — https://docs.aws.amazon.com/AmazonS3/latest/userguide/Versioning.html
• AWS S3 User Guide: Locking objects with Object Lock — https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock.html
• Azure Blob Storage documentation: Blob versioning — https://learn.microsoft.com/en-us/azure/storage/blobs/versioning-overview
• Cloudflare R2 documentation: S3 API compatibility — https://developers.cloudflare.com/r2/api/s3/api/
• MDN: Cross-Origin Resource Sharing (CORS) — https://developer.mozilla.org/en-US/docs/Web/HTTP/Guides/CORS