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https://github.com/kestra-io/kestra

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
https://github.com/kestra-io/kestra

data data-engineering data-integration data-orchestration data-orchestrator data-pipeline data-quality elt etl low-code orchestration pipeline reverse-etl scheduler workflow workflow-engine

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Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

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Kestra workflow orchestrator


Event-Driven Declarative Orchestrator


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Kestra infinitely scalable orchestration and scheduling platform
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Get started in 4 minutes with Kestra


"Click on the image to get started in 4 minutes with Kestra."

## Live Demo

Try Kestra using our [live demo](https://demo.kestra.io/ui/login?auto).

## What is Kestra

Kestra is a universal open-source orchestrator that makes both **scheduled** and **event-driven** workflows easy. By bringing **Infrastructure as Code** best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence.

In just a few lines of code, you can [create a flow](https://kestra.io/docs/getting-started) directly from the UI. Thanks to the declarative YAML interface for defining orchestration logic, business stakeholders can participate in the workflow creation process.

Kestra offers a versatile set of **language-agnostic** developer tools while simultaneously providing an intuitive user interface tailored for business professionals. The YAML definition gets automatically adjusted any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is always managed **declaratively in code**, even if some workflow components are modified in other ways (UI, CI/CD, Terraform, API calls).

![Adding new tasks in the UI](https://kestra.io/adding-tasks.gif)

## Key concepts

1. `Flow` is the main component in Kestra. It's a container for your tasks and orchestration logic.
2. `Namespace` is used to provide logical isolation, e.g., to separate development and production environments. Namespaces are like folders on your file system — they organize flows into logical categories and can be nested to provide a hierarchical structure.
3. `Tasks` are atomic actions in a flow. By default, all tasks in the list will be executed sequentially, with additional customization options, a.o. to run tasks in parallel or allow a failure of specific tasks when needed.
4. `Triggers` define when a flow should run. In Kestra, flows are triggered based on events. Examples of such events include:
- a regular time-based **schedule**
- an **API** call (*webhook trigger*)
- ad-hoc execution from the **UI**
- a **flow trigger** - flows can be triggered from other flows using a [flow trigger](https://kestra.io/docs/developer-guide/triggers/flow) or a [subflow](https://kestra.io/docs/flow-examples/subflow), enabling highly modular workflows.
- **custom events**, including a new file arrival (*file detection event*), a new message in a message bus, query completion, and more.
5. `Inputs` allow you to pass runtime-specific variables to a flow. They are strongly typed, and allow additional [validation rules](https://kestra.io/docs/developer-guide/inputs#input-validation).

## Extensible platform via plugins

Most tasks in Kestra are available as [plugins](https://kestra.io/plugins), but many type of tasks are available in the core library, including a.o. script tasks supporting various programming languages (e.g., Python, Node, Bash) and the ability to orchestrate your business logic packaged into Docker container images.

To create your own plugins, check the [plugin developer guide](https://kestra.io/docs/plugin-developer-guide).

## Rich orchestration capabilities

Kestra provides a variety of tasks to handle both simple and complex business logic, including:

- subflows
- retries
- timeout
- error handling
- conditional branching
- dynamic tasks
- sequential and parallel tasks
- skipping tasks or triggers when needed by setting the flag `disabled` to `true`.
- configuring dependencies between tasks, flows and triggers
- advanced scheduling and trigger conditions
- backfills
- blueprints
- documenting your flows, tasks and triggers by adding a markdown description to any component
- adding labels to add additional metadata to your flows such as the flow owner or team:

```yaml
id: getting_started
namespace: dev

description: |
# Getting Started
Let's `write` some **markdown** - [first flow](https://t.ly/Vemr0) 🚀

labels:
owner: rick.astley
project: never-gonna-give-you-up

tasks:
- id: hello
type: io.kestra.core.tasks.log.Log
message: Hello world!
description: a *very* important task
disabled: false
timeout: PT10M
retry:
type: constant # type: string
interval: PT15M # type: Duration
maxDuration: PT1H # type: Duration
maxAttempt: 5 # type: int
warningOnRetry: true # type: boolean, default is false

- id: parallel
type: io.kestra.core.tasks.flows.Parallel
concurrent: 3
tasks:
- id: task1
type: io.kestra.plugin.scripts.shell.Commands
commands:
- 'echo "running {{task.id}}"'
- 'sleep 2'
- id: task2
type: io.kestra.plugin.scripts.shell.Commands
commands:
- 'echo "running {{task.id}}"'
- 'sleep 1'
- id: task3
type: io.kestra.plugin.scripts.shell.Commands
commands:
- 'echo "running {{task.id}}"'
- 'sleep 3'

triggers:
- id: schedule
type: io.kestra.core.models.triggers.types.Schedule
cron: "*/15 * * * *"
backfill:
start: 2023-10-05T14:00:00Z
```

## Built-in code editor

You can write workflows directly from the UI. When writing your workflows, the UI provides:
- autocompletion
- syntax validation
- embedded plugin documentation
- example flows provided as blueprints
- topology view (view of your dependencies in a Directed Acyclic Graph) that get updated live as you modify and add new tasks.

## Stay up to date

We release new versions every month. Give the repository a star to stay up to date with the latest releases and get notified about future updates.

![Star the repo](https://kestra.io/star.gif)

## Getting Started

Follow the steps below to start local development.

### Prerequisites

Make sure that Docker is installed and running on your system. The default installation requires the following:
- [Docker](https://docs.docker.com/engine/install/)
- [Docker Compose](https://docs.docker.com/compose/install/)

### Launch Kestra

Download the Docker Compose file:

```sh
curl -o docker-compose.yml https://raw.githubusercontent.com/kestra-io/kestra/develop/docker-compose.yml
```

Alternatively, you can use `wget https://raw.githubusercontent.com/kestra-io/kestra/develop/docker-compose.yml`.

Start Kestra:

```sh
docker compose up -d
```

Open `http://localhost:8080` in your browser and create your first flow.

### Hello-World flow

Here is a simple example logging hello world message to the terminal:

```yaml
id: getting_started
namespace: dev

tasks:
- id: hello_world
type: io.kestra.core.tasks.log.Log
message: Hello World!
```

For more information:

- Follow the [getting started tutorial](https://kestra.io/docs/getting-started/).
- Read the [documentation](https://kestra.io/docs/) to understand how to:
- [Develop your flows](https://kestra.io/docs/developer-guide/)
- [Deploy Kestra](https://kestra.io/docs/administrator-guide/)
- Use our [Terraform provider](https://kestra.io/docs/terraform/) to deploy your flows
- Develop your [own plugins](https://kestra.io/docs/plugin-developer-guide/).

## Plugins
Kestra is built on a [plugin system](https://kestra.io/plugins/). You can find your plugin to interact with your provider; alternatively, you can follow [these steps](https://kestra.io/docs/plugin-developer-guide/) to develop your own plugin.

For a full list of plugins, check the [plugins page](https://kestra.io/plugins/).

Here are some examples of the available plugins:


Airbyte Cloud
Airbyte OSS
Amazon Athena


Amazon CLI
Amazon DynamoDb
Amazon Redshift


Amazon S3
Amazon SNS
Amazon SQS


AMQP
Apache Avro
Apache Cassandra


Apache Kafka
Apache Pinot
Apache Parquet


Apache Pulsar
Apache Spark
Apache Tika


Azure Batch
Azure Blob Storage
Azure Blob Table


CSV
ClickHouse
Compression


Couchbase
Databricks
dbt cloud


dbt core
Debezium Microsoft SQL Server
Debezium MYSQL


Debezium Postgres
DuckDb
ElasticSearch


Email
Fivetran
FTP


FTPS
Git
Google Big Query


Google Pub/Sub
Google Cloud Storage
Google DataProc


Google Firestore
Google Cli
Google Vertex AI


Google Kubernetes Engines
Google Drive
Google Sheets


Groovy
Http
JSON


Julia
Jython
Kubernetes


Microsoft SQL Server
Microsoft Teams
MongoDb


MQTT
MySQL
Nashorn


NATS
Neo4j
Node


OpenAI
Open PGP
Oracle


PostgreSQL
Power BI
PowerShell


Python
Rockset
RScript


SFTP
ServiceNow
Singer


Shell
Slack
Snowflake


Soda
SSH
Telegram


Trino
XML
Vertica

This list is growing quickly and we welcome contributions.

## Community Support

If you need help or have any questions, reach out using one of the following channels:

- [Slack](https://kestra.io/slack) - join the community and get the latest updates.
- [GitHub discussions](https://github.com/kestra-io/kestra/discussions) - useful to start a conversation that is not a bug or feature request.
- [Twitter](https://twitter.com/kestra_io) - to follow up with the latest updates.

## Contributing

We love contributions, big or small. Check out [our contributor guide](https://github.com/kestra-io/kestra/blob/develop/.github/CONTRIBUTING.md) for details on how to contribute to Kestra.

See our [Plugin Developer Guide](https://kestra.io/docs/plugin-developer-guide/) for details on developing and publishing Kestra plugins.

## License
Apache 2.0 © [Kestra Technologies](https://kestra.io)