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
Reconcile a denormalized MongoDB read model against its PostgreSQL source of truth, find orphaned and stale documents by reading the keyset from PostgreSQL, alert Slack, then behind an approval gate delete and refresh them and re-verify.
Monitor MongoDB replica sets for Change Data Capture (CDC) lag, drain oplog backlog, track resume tokens, and alert Slack.
Audit the retained messages an MQTT broker replays on connect, then clear the stale or invalid ones with a zero byte retained publish behind a dry run and an approval pause, with a fresh subscriber confirming the clear.
A monthly sweep lists all active monday.com boards, flags any board missing a name marker or description to Discord, and closes with an audit summary.
Capture inserts, updates and deletes from a MongoDB collection with a change stream trigger. Upsert flat rows into PostgreSQL with ON CONFLICT, keep deletes as tombstones and verify them against MongoDB.
A realtime MQTT trigger starts one Kestra execution per alarm message and posts the topic and severity to Discord within moments of the device raising it.
Block or promote an MLflow registered model based on feature drift (PSI + KS) and training metric regression before it reaches Production.
Join a MongoDB child collection to its parent with $lookup, report the children whose reference resolves to nothing, delete the aged orphans behind an approval, then re-join to prove none is left.
Subscribe to an MQTT broker's own reserved $SYS diagnostic topic tree on a schedule and page Slack when the broker's self-reporting channel goes silent or unreachable.
Restore the newest mysqldump plus the archived binlogs into a throwaway MySQL, stop at a time or right before a bad statement, run your checks and measure the restore time.
One raw GraphQL query pulls every active monday.com board with item counts, a Python step reduces the JSON to KPIs, and Slack gets the weekly digest.
Detect orphaned binary chunks in MongoDB GridFS with $lookup, pause for operator confirmation, purge confirmed orphans, and reverify zero residual storage leaks.
Detect MongoDB documents whose embedded array is growing toward the 16MB BSON limit, archive the overflow, trim each array to its newest entries behind an approval and re-measure to prove it.
A scheduled Subscribe task drains an MQTT telemetry topic in bounded batches of 500 messages or 30 seconds, stores each batch as a file, and reports the count to Slack.
Benchmark pinned MLflow classifiers, compare quality and CPU resources, pause for approval, and verify an opted-in champion alias promotion.
Find the MongoDB documents that do not match their collection validator, backfill a missing required field behind an approval, then re-read the collection and fail the run if any repairable violator is left.
A scheduled Subscribe task listens for device heartbeats in a short window, alerts Discord and fails the run when zero messages arrive, and logs the count otherwise.
Detect MongoDB documents older than a retention window, alert Slack, then delete them behind an approval and re-read the collection to prove none remain.
A webhook turns every monitoring alert into a monday.com item with severity and service columns, an update carrying the raw payload, and a Slack confirmation.
Audits Microsoft Access databases for transaction ledger mismatches, unposted backlogs, and automates audit hold remediation.
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.