Hardening Distributed Systems: Retries, Circuit Breakers & Observability.

Your approach to building a resilient and observable system for generating NDVI images is commendable. Here's a summary of the key takeaways from your journey:

Phase 2: Resilience Patterns

Circuit Breaker Implementation

• Pattern: You implemented a circuit breaker pattern using Python, specifically focusing on resilience against upstream failures.
• Key Components:
  • Circuit State Management: The circuit can be in one of three states (CLOSED, OPEN, HALF_OPEN).
  • Failure Detection and Recovery: Automatically transitions to the OPEN state after consecutive failures and recovers based on a timeout mechanism.
  • Observability: Exposed Prometheus metrics for monitoring current state and transition rates.

Observability

• You ensured observability by exposing Prometheus metrics that track:
  • Current circuit breaker state (CLOSED, OPEN, HALF_OPEN).
  • Transition counts between states.

Operator Controls

• Added an admin endpoint to manually reset breakers when necessary.
• This is crucial for solo operators who need quick control over system resilience mechanisms.

Phase 3: Decoupling with Redis Streams

Architecture Decision

• Separate Consumer Pattern: You decided to decouple the API from Celery tasks using

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