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
Exchange a LinkedIn refresh token for a fresh access token on a monthly schedule and confirm the rotation in Slack with expiry details.
Built by our Customer Success TeamA deliberately failing flow that demonstrates block level errors, flow level errors, automatic retries, and KV context for alerting flows.
A realtime Kafka trigger starts one execution per record, branches on the payload, and alerts Slack on anomalies.
Fetch weather data from an API, reshape it with DuckDB, and load it into InfluxDB as time series points.
Poll Klaviyo send jobs during business hours and page Slack once when a campaign send transitions into a bad state.
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.
Detect new CSV files in S3, clean them with Python, and load them into an Apache Iceberg data lake on AWS Glue and Athena.
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.
Detect new files in S3 every hour and ingest them into an Apache Iceberg data lake with Git, Python, and Athena.
Download multiple CSV files over HTTP and merge them into a single multi-sheet Excel workbook.
Fetch JSON from a REST API and load it straight into MongoDB as a document, parameterized by a runtime input.
Run a Python script inside a Kubernetes pod with declarative CPU and memory limits, straight from a Kestra flow.
Broadcast an outcome-aware LINE update to your followers every time one business-critical Kestra flow reaches a terminal state.
Built by our Customer Success TeamAlert-triggered Kubernetes deployment restart with namespace allowlist guardrails, health verification with retries, and Slack notifications.
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.
Run a GPU workload as a Kubernetes pod, pull its output artifact into Kestra storage, and notify Slack.
Automatically purge expired key-value entries from Kestra's internal KV store across namespaces on a daily schedule.
Broadcast a LINE alert to your Official Account followers whenever any flow in a namespace fails.
Roll a shared Kubernetes manifest out to a fleet of tenant clusters and verify every apply.
A weekly flow captures liquibase history as a file artifact, counts deployed change sets in Python, and posts the digest to Slack.
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.