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.
2,600+ 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 2,600+ 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
Validate feature completeness and freshness, then fit a real regression model only if the dataset passes its contract.
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.
Dump a MongoDB collection to S3-compatible storage, restore the stored archive into a scratch database, then promote it only when documents and indexes match.
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.
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.
Audit MongoDB collections using $indexStats to detect unused secondary indexes consuming RAM, alerting DBAs on Slack.
Join a prediction log with the outcomes that arrive later, judge only cohorts with enough outcomes, and flag a statistically real drop in AUC or Brier score against the deploy-time baseline.
The WorkflowEvents polling trigger starts one Kestra execution per Mistral workflow completion, failure, or cancellation and reports to Discord.
Run the same script on Python 3.9 and Python 3.13 in one flow, each task pinned to its own container image, to evaluate a new runtime without touching production.
Gate model promotion on evaluation and drift thresholds, verify a canary deploy with a smoke check, and roll back automatically when it fails.
A webhook trigger receives JSON events over HTTP and republishes selected fields as a JSON MQTT message to a topic named in the request, with Slack notes per event.
Read-only check of a Moodle site's assignments and submissions on a schedule, paging Slack when marked feedback is overdue or the site cannot be read.
One execution creates a monday.com sprint board from a template, adds Committed and Stretch groups plus a Status column, and posts the board id to Discord.
Detect orphaned binary chunks in MongoDB GridFS with $lookup, pause for operator confirmation, purge confirmed orphans, and reverify zero residual storage leaks.
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.
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.
Pull curl's extract of the Mozilla root store, check its SHA-256, add your proxy or internal roots, see which roots come and go, review removals in Google Chat, and publish to namespace files with a verified rollback.
Publish a JSON command built from flow inputs to a per-device MQTT topic with QoS 1, confirm it in Slack, and keep every dispatch auditable.
Block or promote an MLflow registered model based on feature drift (PSI + KS) and training metric regression before it reaches Production.
Build a Docker image from a GitHub repo and deploy it to local, GCP Cloud Run, or Azure Container Instances from one declarative flow.
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.
