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Deadline to Die

Distributed Systems Coordination

🌐 Distributed Systems Coordination

Explore the patterns and tools required to maintain consistency, reliability, and observability across multiple independent services.

🏗️ The Coordination Roadmap

Phase 1: Shared State & Caching

  • Focus: Redis, In-memory data structures, and TTL strategies.
  • Goal: Optimize performance with distributed caching.

Phase 2: Consistency & Locking

  • Focus: Redlock, Fencing Tokens, and Mutexes.
  • Goal: Prevent race conditions in distributed environments.

Phase 3: Observability & Flags

  • Focus: Distributed Tracing (OpenTelemetry) and Feature Flags.
  • Goal: Gain full visibility and control over your production traffic.

🛠️ Key Concepts

  • CAP Theorem: Balancing Consistency, Availability, and Partition Tolerance.
  • Consensus Protocols: Understanding how Paxos and Raft work.
  • Idempotency: Ensuring that repeating an operation has no unintended side effects.