Event-Driven Declarative Orchestrator

     

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What is Kestra

Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence.

Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.

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 or a 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.

Extensible platform via plugins

Most tasks in Kestra are available as 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.

Rich orchestration capabilities

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

• 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
• 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:

id: hello
namespace: prod
description: Hi from `Kestra` and a **markdown** description.
labels:
  owner: john-doe
  team: data-engineering
tasks:
  - id: hello
    type: io.kestra.core.tasks.log.Log
    message: Hello world!
    description: a *very* important task
    disabled: false
    timeout: 10M
    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 10'
      - id: task2
        type: io.kestra.plugin.scripts.shell.Commands
        commands:
          - 'echo "running {{task.id}}"'
          - 'sleep 10'
      - id: task3
        type: io.kestra.plugin.scripts.shell.Commands
        commands:
          - 'echo "running {{task.id}}"'
          - 'sleep 10'
triggers:
  - id: schedule
    type: io.kestra.core.models.triggers.types.Schedule
    cron: "*/15 * * * *"
    backfill:
      start: 2023-06-25T14:00:00Z

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
• topology view (view of your dependencies in a Directed Acyclic Graph) that get updated live as you modify and add new tasks.

Getting Started

To get a local copy up and running, follow the steps below.

Prerequisites

Make sure that Docker is installed and running on your system. The default installation requires the following:

• Docker
• Docker Compose

Launch Kestra

Download the Docker Compose file:

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:

docker-compose up

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:

id: hello
namespace: prod
tasks:
  - id: hello-world
    type: io.kestra.core.tasks.log.Log
    message: Hello world!

For more information:

• Follow the getting started tutorial.
• Read the documentation to understand how to:
  • Develop your flows
  • Deploy Kestra
  • Use our Terraform provider to deploy your flows
  • Develop your own plugins.

Plugins

Kestra is built on a plugin system. You can find your plugin to interact with your provider; alternatively, you can follow these steps to develop your own plugin.

For a full list of plugins, check the plugins page.

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 - join the community and get the latest updates.
• GitHub discussions - useful to start a conversation that is not a bug or feature request.
• Twitter - to follow up with the latest updates.

Roadmap

See the open issues for a list of proposed features (and known issues) or look at the project board.

Contributing

We love contributions, big or small. Check out our contributor guide for details on how to contribute to Kestra.

See our Plugin Developer Guide for details on developing and publishing Kestra plugins.

License

Apache 2.0 © Kestra Technologies