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## Problem Multiple executor pods could simultaneously execute the same graph, leading to: - Duplicate executions and wasted resources - Inconsistent execution states and results - Race conditions in graph execution management - Inefficient resource utilization in cluster environments ## Solution Implement distributed locking using ClusterLock to ensure only one executor pod can process a specific graph execution at a time. ## Key Changes ### Core Fix: Distributed Execution Coordination - **ClusterLock implementation**: Redis-based distributed locking prevents duplicate executions - **Atomic lock acquisition**: Only one executor can hold the lock for a specific graph execution - **Automatic lock expiry**: Prevents deadlocks if executor pods crash or become unresponsive - **Graceful degradation**: System continues operating even if Redis becomes temporarily unavailable ### Technical Implementation - Move ClusterLock to `backend/executor/` alongside ExecutionManager (its primary consumer) - Comprehensive integration tests (27 test scenarios) ensure reliability under all conditions - Redis client compatibility for different deployment configurations - Rate-limited lock refresh to minimize Redis load ### Reliability Improvements - **Context manager support**: Automatic lock cleanup prevents resource leaks - **Ownership verification**: Locks can only be refreshed/released by the owner - **Concurrency testing**: Thread-safe operations verified under high contention - **Error handling**: Robust failure scenarios including network partitions ## Test Coverage - ✅ Concurrent executor coordination (prevents duplicate executions) - ✅ Lock expiry and refresh mechanisms (prevents deadlocks) - ✅ Redis connection failures (graceful degradation) - ✅ Thread safety under high load (production scenarios) - ✅ Long-running executions with periodic refresh ## Impact - **No more duplicate executions**: Eliminates wasted compute resources and inconsistent results - **Improved reliability**: Robust distributed coordination across executor pods - **Better resource utilization**: Only one pod processes each execution - **Scalable architecture**: Supports multiple executor pods without conflicts ## Validation - All integration tests pass ✅ - Existing ExecutionManager functionality preserved ✅ - No breaking changes to APIs ✅ - Production-ready distributed locking ✅ 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>