One orchestrator.Every workflow.
Build, run, and govern across your entire organization.
Agentic AI under the same controls.
- Declarative
- Language-Agnostic
- 2,300+ Plugins
- Cloud
- Self-Hosted
- API-First
Build, run, and govern across your entire organization.
Agentic AI under the same controls.
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.
2,300+ 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 2,300+ 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
Reprocess an S3 file only when it changed, on a schedule, using Python and boto3.
Drain a Proxmox VE node for maintenance by listing its VMs, pausing for operator approval, then live-migrating each VM to a target node.
Report the slowest queries from pg_stat_statements and tables where sequential scans dominate, as one Slack advisory on a schedule or webhook.
List Proxmox VE backups, restore one to a throwaway VMID, verify it, and clean up the test VM.
Atomically charge a PostgreSQL privacy budget, run bounded diffprivlib aggregates, and publish only approved analytics exports to S3.
Find PostgreSQL FOREIGN KEY and CHECK constraints added NOT VALID that nobody ever validated, run ALTER TABLE VALIDATE CONSTRAINT behind a dry-run and approval gate with the table size shown up front, then re-read pg_constraint and fail if any targeted constraint is still unvalidated.
A Power BI refresh with a verified wait gates the distribution step, so reports are only ever sent on top of completed, current data.
Extract multiple Postgres tables in parallel and crunch them into a bestsellers report with Python and Pandas, on a daily schedule.
Run a Shell script directly on the Kestra host as a child process using the lightweight Process task runner.
A Loop over workspace and dataset pairs refreshes several Power BI datasets with a verified wait, two at a time, and posts a Discord summary.
Poll PostgreSQL outbox tables with SKIP LOCKED, reliably publish domain events to Apache Kafka, and track delivery status with Kestra.
Run automated LLM red-teaming, prompt injection defense, and security regression gates using Promptfoo before deploying AI models.
Built by our Customer Success TeamReact to new Postgres rows, land the data in S3 and Databricks, aggregate it with a Databricks job, and validate the result with a Python data quality check.
Check your egress IP on a schedule, compare it with the last saved value, and flag any change.
Scrub free text with Presidio, publish the per-entity redaction counts, then re-scan the scrubbed output with an independent checksum battery. Any survivor blocks the warehouse load.
Find PostgreSQL foreign keys with no index on the referencing columns, alert Slack, and optionally create the missing indexes with CREATE INDEX CONCURRENTLY one at a time and verify each one.
Validate binary Protocol Buffers against compiled descriptors, reject contract violations, and alert Slack on schema drift.
Inspect PostgreSQL table dead tuple bloat and transaction ID wraparound freeze headroom, alert on autovacuum starvation, and trigger targeted VACUUM ANALYZE maintenance.
Publish outbox rows from PostgreSQL to a RabbitMQ exchange with leased batches, per-aggregate ordering, message-id deduplication, exponential backoff, dead-lettering and lag alerts.
Read Postmark outbound stats every four hours and alert Slack when the bounce or spam complaint rate climbs toward the level that gets sending paused.
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.