Compute sizes and limits

Choose a compute size for each sandbox and keep your application's resource usage within your account's quotas. Request rate limits also constrain how quickly your application can send API requests.

Compute sizes

Cloud Sandboxes supports these CPU and memory pairs:

The kit launch helpers default to small when you omit resources. To select another size, pass its name:

const sandbox = await client.kits.launchAndWait('shell', {
  resources: 'medium',
});

For a registry image, specify a size in client.create(), such as resources: 'small'. You can also pass an explicit CPU and memory pair: resources: { cpus: 2, memoryMib: 4096 }.

Named sizes are an SDK convenience. In direct REST requests, supply both resources.cpus and resources.memoryMib. CPU and memory aren't independent settings: for example, 1 CPU with 1024 MiB is not a supported pair.

When creating from an existing image resource with image, omit resource settings because the image supplies them.

Your account access and available capacity determine whether a request can be accepted. See Billing for pricing and usage information.

Account quotas

The default quotas apply across an account:

Your account can have different quotas. Confirm your account's limits with Docker before planning a workload that depends on a particular allowance.

Stopping a sandbox releases its concurrency slot unless the sandbox is configured as always-on. Restarting a stopped sandbox requires a concurrency slot. A stopped sandbox still counts toward the stored sandbox quota. Delete sandboxes you no longer need to reduce stored usage.

Handle quota errors even if you checked usage before creating a resource. Other applications can consume the remaining allowance between requests. Reduce concurrency or remove unused resources before retrying.

Request rate limits

Rate limits control how quickly you can send requests and can vary by operation. When a request reaches a rate limit, wait before retrying and honor any delay specified by the server. Limit concurrent requests and set bounds on retry attempts and elapsed time.

Check the error details to distinguish a rate limit from a resource quota. Waiting can resolve a rate limit, but exceeding a quota requires reducing resource usage. See Errors and retries for how to retry without duplicating work.