Cloud patterns
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    Cloud design patterns cheat sheet: the 60-second story

    Cloud design patterns

    The valet gets a key that starts the car but won’t open the boot.

    About forty cloud patterns are named answers like that. Name the problem first; the pattern follows.

    A 2 GB video should never touch your app servers.

    The API hands out a presigned URL: one key, PUT only, 15 minutes. The client uploads straight to storage; the queue carries only the key.

    300 ms

    of radio time for one home screen

    Six calls in three dependent waves, ~100 ms per mobile round trip. One aggregated call costs one round trip plus a fast fan-out inside.

    One API for web, mobile and TV?

    Bad: One shared API

    It serves web, mobile and TV badly.

    Good: A backend per client type

    One BFF per client type, owned by that client’s team.

    The export takes minutes. Don’t make the client wait.

    Reply 202 Accepted with a status URL and Retry-After. The client polls; when the work is done, 303 See Other points to the report.

    Reads and writes look different? Separate the models.

    Orders go to one write model; an outbox feeds projectors that build a read model per screen, so queries never join. The price is projector lag.

    OTPs and promotional messages share one notification queue. A big promo batch lands first.

    The fix

    A priority queue. OTPs get their own lane and more consumers, so they never wait behind promos.

    Replace a monolith route by route.

    A routing façade sends migrated routes to new services and the rest to legacy. An anti-corruption layer translates the old model. Every stage ships and can be reversed.

    Event sourcing for a settings page?

    Bad: Replay everything

    You pay for event versioning, projections and erasure on an append-only log.

    Good: Plain CRUD

    Nothing needs replay. Keep event sourcing for ledgers and audit trails.

    Remember

    Name the problem before the pattern. Valet keys and claim checks keep bytes off your servers; 202 plus a status URL for slow jobs; CQRS where reads differ; strangle legacy route by route.