Cadence is a distributed, scalable, durable, and highly available orchestration engine we developed at Uber Engineering to execute asynchronous long-running business logic in a scalable and resilient way.
Business logic is modeled as workflows and activities. Workflows are the implementation of coordination logic. Its sole purpose is to orchestrate activity executions. Activities are the implementation of a particular task in the business logic. The workflow and activity implementation are hosted and executed in worker processes. These workers long-poll the Cadence server for tasks, execute the tasks by invoking either a workflow or activity implementation, and return the results of the task back to the Cadence server. Furthermore, the workers can be implemented as completely stateless services which in turn allows for unlimited horizontal scaling.
The Cadence server brokers and persists tasks and events generated during workflow execution, which provides certain scalability and realiability guarantees for workflow executions. An individual activity execution is not fault tolerant as it can fail for various reasons. But the workflow that defines in which order and how (location, input parameters, timeouts, etc.) activities are executed is guaranteed to continue execution under various failure conditions.
See Maxim's talk at Data@Scale Conference for an architectural overview of Cadence.
Start the cadence-server locally
Build the required binaries following the instructions here.
Install and run
# for OS X brew install cassandra # start cassandra /usr/local/bin/cassandra
- Setup the cassandra schema:
- Start the service:
You can also build and run the service using Docker.
Run the Samples
Try out the sample recipes here to get started.
Try out Cadence command-line tool to perform various tasks on Cadence
We'd love your help in making Cadence great. Please review our instructions.
MIT License, please see LICENSE for details.