Optimistic Concurrency Control for APIs and Databases
Learn how to prevent lost updates with version columns, ETags, compare-and-swap writes, and useful conflict responses.
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Learn how to prevent lost updates with version columns, ETags, compare-and-swap writes, and useful conflict responses.
Learn how to design token-bucket API rate limits that protect services without punishing normal users.
Learn how to ship database schema changes safely with expand-contract migrations, batched backfills, compatible application deploys, and clear rollback points.
Learn how the transactional outbox pattern keeps database writes and event publication consistent without distributed transactions.
Learn how to design dead-letter queues with useful metadata, triage workflows, safe replay tools, and clear ownership so failed events can be recovered instead of ignored.
Learn how to design cursor pagination APIs that remain stable when records are inserted, deleted, or queried at scale.
Learn how idempotency keys prevent duplicate side effects in retry-heavy clients by combining request fingerprinting, state tracking, and careful concurrency handling.
Learn how to test event contracts between producers and consumers so schema drift, semantic changes, and versioning mistakes are caught before deployment.
Discover how Bun—an all-in-one JavaScript runtime, bundler, package manager, and test runner—is rewriting the rules of backend development with blazing-fast performance and a seamless developer experience.