Define flows as code
Create version-controlled workflows with declarative YAML definitions
Data and platform engineering teams reach for Kestra when cron jobs and hand-built pipelines become difficult to govern. It combines declarative workflows with a practical interface for coordinating complex automation.
Kestra coordinates data pipelines, infrastructure jobs, scripts, and API-driven business processes from one control plane. Flows are declarative and versionable, while the browser interface makes individual runs, failures, and logs easier to follow than a collection of cron entries.
A flow can mix SQL, shell, Python, containers, and service-specific tasks through plugins. Teams can separate work with namespaces, pass typed inputs, manage secrets, and distribute execution across workers. The model suits scheduled batch work as well as event-triggered automation, though complex branching can produce lengthy definitions.
The Community Edition can be self-hosted without a license fee and includes the core orchestrator. Paid Kestra editions and managed cloud options add enterprise operations and governance; exact costs depend on the deployment and contract. The free route is substantial, but the team remains responsible for upgrades, persistence, worker capacity, and monitoring.
Create version-controlled workflows with declarative YAML definitions
Start runs from schedules, webhooks, messages, or file arrivals
Backfill missed periods without manually cloning individual runs
Inspect task states, logs, outputs, retries, and dependencies
Connect databases, cloud services, scripts, containers, and messaging systems
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