Multi Instance Deployment With Distributed Concurrency Control

via “distributed locking and concurrency control”

Trigger.dev – build and deploy fully‑managed AI agents and workflows

Unique: Uses Redis EVAL scripts for atomic lock operations, avoiding race conditions that could occur with separate GET/SET commands. Integrates with concurrency management system to enforce per-task limits without requiring separate rate-limiting service.

vs others: More efficient than database-based locking because Redis operations are in-memory and sub-millisecond, whereas database locks require disk I/O and transaction overhead

via “multi-instance deployment with distributed concurrency control”

A durable workflow execution engine for Elixir

Unique: Implements distributed concurrency control via PostgreSQL row-level locks rather than a separate coordination service, enabling multi-instance deployment without additional infrastructure. Lock acquisition is transparent to workflow logic, and the execution engine automatically handles lock timeouts and retries.

vs others: Simpler than Temporal's multi-worker deployment (which requires a separate server) and more transparent than manual distributed locking in step logic. Leverages PostgreSQL's built-in locking mechanisms rather than implementing custom consensus.