Cloud & developer workflow
Cloud Dev API
Design cloud-hosted APIs around workload shape, failure isolation, and operational ownership.

Understand the boundary
Start by separating the public request boundary from background work and administrative control. A short lookup, a long report, and a deployment operation are different workloads even when all three use HTTP. Decide which responsibilities belong to a gateway, an application service, a queue, and a durable store. Keep the architecture small enough that the operating team can explain a failed request end to end.
A practical starting project
Map a report-generation request from acceptance to completion. Give the client a job identifier, define how status is read, and decide how output expires. Measure the compute, storage, logging, and network work caused by a single request. Compare a burst of short jobs with a steady stream of longer jobs before selecting a hosting pattern.
Where integrations go wrong
Serverless is not a synonym for free, unlimited, or maintenance-free. Managed services change the ownership boundary but do not remove authorization, cost review, or incident response. Avoid relying on one generic timeout across every dependency, and make the maximum permitted background work a deliberate product decision.
Review before you ship
- What is the workload shape?
- Where does durable state live?
- Who owns recovery and cost review?
Reference for implementation: AWS Serverless Applications Lens. Check the official reference for the specific version and environment you plan to use. The exercise above is an engineering starting point, not a live DevAPI.com service.
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