Cadence Workflow

Cadence Workflow

Cadence Workflow is an open-source workflow orchestration platform that allows users to automate long-running business logic in a fault-tolerant and scalable way. It is designed for microservice architectures to coordinate async tasks.
Cadence Workflow image
orchestration automation microservices async faulttolerant

Cadence Workflow: Open-Source Workflow Orchestration

Automate long-running business logic with a fault-tolerant and scalable workflow orchestration platform, designed for microservice architectures.

What is Cadence Workflow?

Cadence Workflow is an open-source workflow orchestration platform that is designed to develop, run, and scale async processes with coordination logic in a fault-tolerant manner. It is optimized for running long-running microservice orchestrations that require stateful coordination, asynchronous execution, and periodic/manual triggers.

Key features include:

  • Distributed architecture for high availability and scalability
  • Event-driven scheduling for coordination logic
  • Stateful executions with persistence to history
  • Robust recovery mechanisms with timeouts and retries
  • Easy integration with microservices via SDKs
  • Visibility with metrics, monitoring, and debugging tools

Cadence Workflow is well-suited for e-commerce order processing, financial trade processing, IoT telemetry processing, media processing pipelines, and other complex stateful workflows spanning multiple services. It handles infrastructure reliability concerns like crashes, minimizing dev time spent on recovery code.

Cadence Workflow Features

Features

  1. Distributed architecture
  2. Fault tolerant
  3. Highly scalable
  4. Async coordination of tasks
  5. Long running workflows
  6. Open source

Pricing

  • Open Source

Pros

Reliable and resilient

Scales horizontally

Loose coupling between services

Easy to monitor and debug

Active open source community

Cons

Steep learning curve

Complex deployments

Version upgrades can be difficult

Limited GUI for monitoring

Not ideal for small scale use cases


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