One orchestrator.Every workflow.
Build, run, and govern across your entire organization.
Agentic AI under the same controls.
- Declarative
- Language-Agnostic
- 2,200+ Plugins
- Cloud
- Self-Hosted
- API-First
Kestra 2.0Available now!
Cross-Cloud ETL That Starts Itself
Every VM Configured, Every Run Traceable
Triage every issue from GitHub with AI, start each day with a plan
Self-service Business automation, fully recorded
Kestra scales because it is designed for cross-team orchestration from day one.
Adopt Once.
Standardize Everywhere.
Infrastructure Engineering
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
trigger
Nightly AuditCheck Hosts System
Upload Output to S3
Send Slack Success
Data Orchestration
Ship Data Pipelines Faster and Keep them Reliable
Run ingestion, transformations, dbt, Airbyte, Spark and quality checks in one workflow engine.
10x
Faster Pipeline Delivery
90%
Fewer Manual backfills
dbt
dbt
Clone Repository
dbt Build
Python
Send Slack Notification
Send Email Notification
AI Automation
Operationalize AI Workflows Without Production Chaos
Agents, RAG pipelines, evaluation, publishing, retraining all orchestrated with governance and observability.
50x
less pipeline maintenance
3x
faster AI delivery cycles
trigger
Schedule monitorKubernetes deploy
AI inference
Python script
Slack notify
One Platform. All Your Workflows.
Declarative Orchestration
Write workflows in YAML. Version them. Review them. Ship them.
Connect Everything
Cloud, data, infra, CI/CD, ITSM, messaging. Plug into your entire stack.
2,200+ plugins
Batch and Event-Driven
Cron, events, webhooks, messages. One engine to run them all.
Governance and Reliability
Retries, timeouts, SLAs, RBAC, audit logs. SOC 2, Built to run in production.
Built for How Modern Teams Actually Work.
Any Language. No Lock-in
Run tasks in Python, Bash, Node.js, Go, or containers. No refactoring required.
Build Everything As Code & From the UI
Empower every team member to collaborate from a single tool—code for developers, UI for everyone else, all in sync.
Agentic Automation, Built In
Copilot for speed, agents for action. Create, iterate, and automate workflows with an AI native platform.
API First. CI/CD Native.
Trigger executions, manage workflows and resources through the API, and roll out updates safely with Git-driven CI/CD pipelines.
Work With Your Stack,
Not the Other Way Around.
Kestra integrates with your existing cloud, data, infrastructure, and SaaS tools.
With 2,200+ 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.
- Billions
- of records processed securely
- < 3 Months
- to go from zero to full production
- 100+
- users empowered to build workflows
Deploy Anywhere. Keep Everything Governed.
Open Source
Self-host on Docker or Kubernetes. Free Forever
Enterprise Edition
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.
Cloud
Managed platform, production-ready, scalable. Fastest time to value.
1920+ Blueprints, Ready to Build.
Jump-start your workflows with a growing library of workflow templates
Catalog an S3 Data Lake in DataHub Weekly
A weekly s3 source recipe scans Parquet path specs, infers dataset schemas from the files, and publishes them to DataHub, with Discord reports.
Compile and Run Dataform Transformations on BigQuery
One execution loads a Dataform project from namespace files, validates it with dataform compile, runs the full SQLX DAG on BigQuery, and reports to Slack.
Publish dbt Artifacts to DataHub After Every Run
A dbt source recipe reads manifest.json and catalog.json staged through inputFiles and publishes models, lineage, and docs to DataHub, with Discord reports.
Catalog Kafka Topics and Schemas in DataHub
A kafka source recipe lists allowed topics and their schema registry schemas into DataHub every six hours, passing credentials through the task env.
Execute dbt Models on BigQuery with Automated Slack Incident Alerting
Run containerized dbt transformations on Google BigQuery, inspect build outputs, and dispatch automated status and failure alerts to Slack.
Ingest Postgres Metadata into DataHub on a Schedule
A daily DataHub ingestion recipe catalogs Postgres tables, views, and schemas through the datahub-rest sink, with Slack reports on every sync.
Automate dbt Anomaly Detection and Slack Triage with Elementary
Run dbt tests with Elementary anomaly detection, generate standalone HTML observability reports, and triage data issues in Slack.
CI Compile Check for Dataform Pull Requests
A webhook-triggered gate that runs dataform compile on every pull request, captures the result as a flow output, and posts a Discord verdict.
GCS to Dataproc to BigQuery Lakehouse Refresh
Orchestrate the GCS to Dataproc to BigQuery lakehouse chain in one flow, with a serverless PySpark transform and a gold table load.
Scheduled dbt Core Run with Failure Alerting
Run dbt Core models and tests on a schedule and alert Slack the moment a build or test fails.
Dbt Cloud Production Run with an Approval Gate
Run the dbt Cloud CI job, pause for human approval, then run the production job and report to Slack.
Weekend Full Refresh of Incremental Dataform Models
A weekly scheduled flow that runs dataform run with the full-refresh flag in a Sunday low-traffic window, rebuilding incremental models from scratch with Discord reporting.
DB2 Reorg-Pending Maintenance Guard
Find DB2 tables stuck in reorg-pending state with ADMIN_GET_TAB_INFO, alert Slack, then clear them with a classic REORG and RUNSTATS through ADMIN_CMD and verify the flag is back to N.
Gate a Dataproc PySpark Batch on Data Readiness
Check BigQuery for fresh source rows and submit a Dataproc Serverless PySpark batch only when the data is ready.
Dataset Schema Evolution & Compatibility Gate
Validate CSV schema changes against a contract and block downstream processing when breaking changes are detected.
Run dbt ELT pipelines on MotherDuck from Git using Docker
Run a full dbt build against MotherDuck, cloning your dbt project from Git and executing it in a reproducible Docker container.
DB2 Check-Pending Table Recovery Guard
Find DB2 tables whose SYSCAT.TABLES.STATUS is not 'N' and that therefore reject every read, order them parents first, clear them with SET INTEGRITY IMMEDIATE CHECKED behind a Pause, then prove each one answers queries again.
Execute dbt transformations on Snowflake using a Git-based workflow
Clone a dbt project from Git and run it against Snowflake in an isolated Docker container, end to end with Kestra.
Refresh Incremental Dataform Models When Data Lands
A webhook-triggered flow that runs the incremental-tagged slice of a Dataform project the moment an upstream load finishes, with Slack reporting.
Run dbt ELT pipelines with DuckDB from Git using Docker
Clone a dbt project from Git and run dbt deps plus dbt build on DuckDB inside one Docker container.
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.
One PlatformOne StandardOne Source of Truth