uber/cadence
Cadence
Cadence is a distributed workflow orchestration engine designed to execute long-running, asynchronous business logic with built-in durability and resilience across distributed systems. It functions as a stateful process manager that ensures processes resume from their last known state following system crashes or network outages.
The platform utilizes a distributed task queue to manage work across independent worker nodes and supports persistence via SQL or Cassandra backend storage. It includes a workflow visualization dashboard for inspecting execution histories and state traces, alongside a command-line interface for administrative control of workflows, task lists, and domains.
The system covers asynchronous task scheduling, fault-tolerant process execution, and distributed system debugging. It also provides utilities for managing database schema setup and upgrades.
Features
- Durable Workflow Engines - Provides a platform for building long-running, fault-tolerant business processes that persist state across infrastructure failures.
- Persistent Storage Backends - Provides a persistent storage backend using SQL or Cassandra to maintain workflow history and state.
- State Management Systems - Functions as a state management system that tracks execution state to ensure processes resume exactly where they left off.
- Workflow Determinism - Enforces deterministic workflow execution to ensure that replaying history always reconstructs the correct state.
- Distributed Orchestration Platforms - Acts as a distributed orchestration platform managing long-running asynchronous processes with built-in durability.
- Distributed Task Queues - Provides distributed task queues for scalable distribution of work across multiple remote worker nodes.
- Durable Execution Persistence - Implements a persistence layer that saves workflow state to ensure recoverability after system failures.
- Fault-Tolerant Workflow Execution - Implements architectural patterns for resilient workflow execution that survives system crashes by resuming from the last state.
- Event History Replayers - Uses event history replay mechanisms to reconstruct and resume workflow state from a durable log.
- Asynchronous Schedulers - Coordinates a series of dependent asynchronous tasks that run over extended periods across remote workers.
- State Inspection Interfaces - Provides a visual state inspection interface to analyze workflow histories and execution traces for debugging.
- Distributed Debugging - Provides tools for visualizing execution histories and state traces to debug long-running distributed processes.
- Polling-Based Worker Execution - Employs a polling-based execution model where remote workers discover pending tasks from the orchestrator.
- Timer-Driven Wakeups - Uses a centralized timer service to trigger workflow resumes after specified delays or timeout intervals.
- Workflow Management Dashboards - Ships a web-based management dashboard for monitoring execution histories and the state of distributed processes.
- Data Orchestration - Scalable orchestration engine for durable distributed workflows.
- Data Processing and Streams - Distributed workflow orchestration engine.
- General Purpose Orchestration - Orchestration engine for executing long-running asynchronous business logic.
