Automate Infrastructure With Governance, Not Scripts
Standardize Terraform, Ansible, CI/CD and operational workflows across hybrid and air-gapped environments.
6x
faster infrastructure delivery
90%
lower legacy tooling cost
Kestra is the open-source orchestration platform for data, AI, and infrastructure workflows. Event-driven, language-agnostic, and built for enterprise scale.
Kestra scales because it is designed for cross-team orchestration from day one.
Standardize Terraform, Ansible, CI/CD and operational workflows across hybrid and air-gapped environments.
faster infrastructure delivery
lower legacy tooling cost
Run ingestion, transformations, dbt, Airbyte, Spark and quality checks in one workflow engine.
Faster Pipeline Delivery
Fewer Manual backfills
Agents, RAG pipelines, evaluation, publishing, retraining all orchestrated with governance and observability.
less pipeline maintenance
faster AI delivery cycles

Write workflows in YAML. Version them. Review them. Ship them.

Cloud, data, infra, CI/CD, ITSM, messaging. Plug into your entire stack.
1900+ plugins

Cron, events, webhooks, messages. One engine to run them all.

Retries, timeouts, SLAs, RBAC, audit logs. SOC 2, Built to run in production.
Run tasks in Python, Bash, Node.js, Go, or containers. No refactoring required.
Empower every team member to collaborate from a single tool—code for developers, UI for everyone else, all in sync.
Copilot for speed, agents for action. Create, iterate, and automate workflows with an AI native platform.
Trigger executions, manage workflows and resources through the API, and roll out updates safely with Git-driven CI/CD pipelines.
Kestra integrates with your existing cloud, data, infrastructure, and SaaS tools.
With 1900+ plugins, you can orchestrate everything without building custom glue code.
We processed billions of rows and thousands of weekly API pulls in under 3 months. For the first time, our analysts aren't waiting for engineering—they're building the workflows themselves.
Self-host on Docker or Kubernetes. Free Forever

Built for critical environments.
SSO, RBAC, audit logs, multi-tenancy. Isolated workers and dedicated task runners.
Hybrid environments: Cloud, On-Prem, Air-Gapped.
SLA-backed support and a dedicated customer success program.
Managed platform, production-ready, scalable. Fastest time to value.
Jump-start your workflows with a growing library of workflow templates
Estimate a Klaviyo campaign's audience before sending, alert Slack when out of range, and optionally fail so a parent flow can gate the send.
Run a Jenkins build, poll until it finishes, request approval in Teams, pause for a named reviewer, then trigger the deploy and confirm on Slack.
Automatically purge expired key-value entries from Kestra's internal KV store across namespaces on a daily schedule.
Collect logs from every pod in a Kubernetes namespace within a time window, plus namespace events, in one run.
Broadcast an outcome-aware LINE update to your followers every time one business-critical Kestra flow reaches a terminal state.
Detect new files in S3 every hour and ingest them into an Apache Iceberg data lake with Git, Python, and Athena.
Call a REST API in a Dockerized Python task, save the JSON, and load it straight into a MongoDB collection.
Run a GPU workload as a Kubernetes pod, pull its output artifact into Kestra storage, and notify Slack.
Broadcast a LINE alert to your Official Account followers whenever any flow in a namespace fails.
liquibase validate and status run before a release, exit codes become outputs, and the flow fails with a Slack alert when the changelog is broken or unapplied.
Off-hours patch window that verifies the target, gracefully stops it (with a force fallback), snapshots and inspects its disk, restarts it, and emails ops on success or failure.
Validate a nested order webhook payload for required fields with JSONata, flatten it into a flat record with computed totals, and only forward it once it passes.
Event-driven ingestion that lands new S3 files into an Apache Iceberg data lake and merges them with Amazon Athena.
A webhook fires when marketing publishes a campaign post, captures a t0 reaction snapshot with GetPostAnalytics, and logs it to Slack.
Deprovision an employee's LDAP entry on offboarding, snapshotting group membership for audit, relocating the account, and removing it from its groups.
Capture Postgres row changes with Debezium CDC, then notify Slack and process the new data in Python automatically.
Fetch reaction analytics for the week's LinkedIn posts, compute average reactions per post in Python, and send a Friday Discord digest.
A CI webhook runs liquibase validate and update-testing-rollback on a disposable H2 database, and Discord reports whether the changelog is safe to merge.
Watch a local processing directory for finished output files, archive each one into a dated folder as it lands, and sweep stale .tmp scratch files left behind by interrupted runs.
A realtime Kafka trigger starts one execution per record, branches on the payload, and alerts Slack on anomalies.
Kestra gives you fewer tools to maintain, fewer scripts to debug, fewer dependencies between teams, and one place to see what’s running
across your company.