API Request Error Handling And Checkpoint System
This flowchart documents how an API gracefully handles failures using checkpoints, retries, and fallbacks instead of crashing outright. It's valuable for designing resilient microservices and distributed systems. Tip: always show the maximum retry count on the diagram so engineers know when the fallback kicks in.
The prompt behind this diagram
Create a flowchart showing API request error handling with a checkpoint and retry system. Include steps: Client Sends Request, API Gateway Receives Request, Validate Request Schema, decision for validation failure returning a 400 error, Save Checkpoint Before Processing, Call Downstream Service, decision checking if the call succeeded, a retry loop with exponential backoff up to three attempts, a fallback to cached response if retries exhausted, Log Error to Monitoring System, and Return Response to Client.
Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.
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