Idempotency at three layers — the pattern that kept the...
A single layer of idempotency will eventually fail. Three independent layers gives you a margin. Here is the pattern that worked across ingest, worker, and emit boundaries.
Distributed systems spread computation across multiple machines to achieve fault tolerance, scalability, and geographic reach. These posts examine saga orchestration, idempotency guarantees, consensus patterns, and the Go concurrency primitives that make distributed architectures tractable in practice.
3 posts tagged with distributed systems. ← All posts
A single layer of idempotency will eventually fail. Three independent layers gives you a margin. Here is the pattern that worked across ingest, worker, and emit boundaries.
Status-code-based dispatch made every worker grow a longer and longer switch. Normalising every partner-specific error into an enumerated set let the orchestration logic stop changing as new partners landed.
A saga is fine when every step succeeds. The interesting code is what runs when step 3 of 5 fails and you have to undo 1 and 2 in the right order. The patterns I use.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.