https://github.com/Netflix/maestro

Maestro: Netflix’s Workflow Orchestrator
https://github.com/Netflix/maestro

Last synced: about 1 month ago
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Maestro: Netflix’s Workflow Orchestrator

• Host: GitHub
• URL: https://github.com/Netflix/maestro
• Owner: Netflix
• License: apache-2.0
• Created: 2024-04-17T01:15:56.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-08-09T16:56:17.000Z (4 months ago)
• Last Synced: 2024-10-29T15:10:21.455Z (about 1 month ago)
• Language: Java
• Size: 983 KB
• Stars: 3,296
• Watchers: 162
• Forks: 203
• Open Issues: 28
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Maestro

===================================

[Maestro](https://netflixtechblog.com/orchestrating-data-ml-workflows-at-scale-with-netflix-maestro-aaa2b41b800c)

is a general-purpose workflow orchestrator that 

provides a fully managed workflow-as-a-service (WAAS) to the data platform users at Netflix.

It serves thousands of users, including data scientists, data engineers, machine learning engineers,

software engineers, content producers, and business analysts, for various use cases.

It schedules hundreds of thousands of workflows, millions of jobs every day

and operate with a strict SLO even when there are spikes in the traffic.

Maestro is highly scalable and extensible to support existing and new use cases and offers enhanced usability to end users.

You can read more details about it in our latest [blog post](https://netflixtechblog.com/maestro-netflixs-workflow-orchestrator-ee13a06f9c78).

# Get started

## Prerequisite

- Git

- Java 21

- Gradle

- Docker

## Build it

- `./gradlew build`

## Run it

- `./gradlew bootRun`

## Create a sample workflow

- `curl --header "user: tester" -X POST 'http://127.0.0.1:8080/api/v3/workflows' -H "Content-Type: application/json" -d @maestro-server/src/test/resources/samples/sample-dag-test-1.json`

## Get the sample workflow definition

- `curl -X GET 'http://127.0.0.1:8080/api/v3/workflows/sample-dag-test-1/versions/latest'`

## Trigger to run the sample workflow

- `curl --header "user: tester" -X POST 'http://127.0.0.1:8080/api/v3/workflows/sample-dag-test-1/versions/latest/actions/start' -H "Content-Type: application/json" -d '{"initiator": {"type": "manual"}}'`

## Get the sample workflow instance

- `curl -X GET 'http://127.0.0.1:8080/api/v3/workflows/sample-dag-test-1/instances/1/runs/1'`

## Delete the sample workflow and its data

- `curl --header "user: tester" -X DELETE 'http://127.0.0.1:8080/api/v3/workflows/sample-dag-test-1'`

# License

Copyright 2024 Netflix, Inc.

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.