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
Pull real Klaviyo campaign KPIs on a weekly schedule, export them to CSV, and post a performance summary to Slack.
A nightly Liquibase Diff compares live and reference databases, a Python step derives a drift boolean from the generated changelog, and Discord is alerted on divergence.
Detect new files in S3 every hour and ingest them into an Apache Iceberg data lake with Git, Python, and Athena.
Capture Postgres row changes with Debezium CDC, then notify Slack and process the new data in Python automatically.
A weekly authenticated Loki range query captures all audit-tagged log lines from the last 7 days as an execution record, confirmed in Discord.
AI-powered Kubernetes incident monitor that collects cluster data, diagnoses issues with Gemini, and alerts Slack on high severity.
Fetch reaction analytics for the week's LinkedIn posts, compute average reactions per post in Python, and send a Friday Discord digest.
Exchange a LinkedIn refresh token for a fresh access token on a monthly schedule and confirm the rotation in Slack with expiry details.
Provision one Amazon S3 bucket per team and register each as a governed AWS_BUCKET asset in Kestra.
Provision with Terraform, configure with Ansible, then trigger a Jenkins test job, poll it to completion, and report to Discord.
Watch a KVM libvirt domain and auto-restart it the moment it goes SHUTOFF, with flap protection, maintenance-aware skips, and loud failure alerts.
Fetch JSON from a REST API and load it straight into MongoDB as a document, parameterized by a runtime input.
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.
Fetch reaction analytics for a list of LinkedIn posts with GetPostAnalytics and post totals to Slack on a weekly schedule.
Run a Python script inside a Kubernetes pod with declarative CPU and memory limits, straight from a Kestra flow.
A CommentTrigger polls LinkedIn posts for new comments and alerts Discord with the comment text and author so the team replies fast.
Broadcast a LINE alert to your Official Account followers whenever any flow in a namespace fails.
Fetch LinkedIn post reactions, reshape the per-post data into newline-delimited JSON with Python, and note the export in Discord.
Rotate a HashiCorp Vault secret into a Kubernetes Secret, roll the Deployment, and verify the rollout.
Call a REST API in a Dockerized Python task, save the JSON, and load it straight into a MongoDB collection.
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.