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
A deliberately failing flow that demonstrates block level errors, flow level errors, automatic retries, and KV context for alerting flows.
Built by our Customer Success TeamAlert-triggered Kubernetes deployment restart with namespace allowlist guardrails, health verification with retries, and Slack notifications.
Automatically purge expired key-value entries from Kestra's internal KV store across namespaces on a daily schedule.
A webhook fires when marketing publishes a campaign post, captures a t0 reaction snapshot with GetPostAnalytics, and logs it to Slack.
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.
Open a Jira incident ticket, alert your on-call team in Slack, generate a timeline report, and log every incident to PostgreSQL in one flow.
Download multiple CSV files over HTTP and merge them into a single multi-sheet Excel workbook.
Pull real Klaviyo campaign KPIs on a weekly schedule, export them to CSV, and post a performance summary to Slack.
Detect new CSV files in S3, clean them with Python, and load them into an Apache Iceberg data lake on AWS Glue and Athena.
Deprovision an employee's LDAP entry on offboarding, snapshotting group membership for audit, relocating the account, and removing it from its groups.
Provision one Amazon S3 bucket per team and register each as a governed AWS_BUCKET asset in Kestra.
Run a Python script inside a Kubernetes pod with declarative CPU and memory limits, straight from a Kestra flow.
Call a REST API in a Dockerized Python task, save the JSON, and load it straight into a MongoDB collection.
A release webhook triggers liquibase update with an inline changelog and secret-injected credentials, and Slack confirms every applied migration.
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.
Create a Kubernetes pod, inspect its status with kubectl, log the result, and clean it up automatically.
Collect logs from every pod in a Kubernetes namespace within a time window, plus namespace events, in one run.
A CommentTrigger polls LinkedIn posts for new comments and alerts Discord with the comment text and author so the team replies fast.
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.
Event-driven ingestion that lands new S3 files into an Apache Iceberg data lake and merges them with Amazon Athena.
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.