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
A Request task finds a cluster whose shard allocation is stuck at none or primaries, re-enables allocation, retries failed shards and re-reads health to prove the fix landed.
Audit OpenSearch cluster health, detect degraded yellow or red states, and alert Slack on unassigned shard accumulation before search outages occur.
Spin up a Databricks cluster on demand, run a Spark job, then tear the cluster down automatically.
List every Okta app on a schedule, flag SAML apps with expiring signing certificates, zero assignees, recent disables, or sign-on mode anomalies, and escalate through a GitHub issue and a Slack warning.
Verify OpenPGP digital signatures and MDC integrity on partner data payloads and gate unauthenticated ingestion.
Extract data lineage facets and schema during in-process DuckDB analytical SQL transformations, emitting OpenLineage 1.0 events to Marquez with automated quality gating.
A weekly Request task deletes the app-logs index dated thirty days before the run and confirms the deletion in Discord with the HTTP status.
Assess a GitHub issue's contribution readiness and generate implementation and testing plans.
Catch any task failure and post an instant Slack alert with the flow and execution details.
Count documents missing a required field with a PPL query against OpenSearch, alert Slack on breach, and optionally flag the matching documents via _update_by_query.
Generate an image from a text prompt with OpenAI DALL-E and download it from the execution outputs.
Build an index with new mappings, check every reindex result and a search canary, then move the serving read alias atomically while retaining the old index.
Collect AWS and Kubernetes facts, evaluate them with a central OPA policy, and alert Slack on any violations.
Continuously probe OpenObserve cluster health, analyze log stream error rates, and route incident notifications to Slack.
A Scroll task with fetchType STORE archives an entire OpenSearch index to a file in internal storage and reports the row count to Slack.
Audit running Ollama models, track GPU VRAM allocation vs RAM spilling, and trigger automated idle model eviction when memory headroom breaches thresholds.
Compare a bounded Postgres window with an OpenSearch Scroll, replay only missing ids with Bulk and verify conserved bucket counts.
Monitors OpenKruise AdvancedStatefulSet in-place container image updates and pod mutation stalls.
A size-zero OpenSearch search counts yesterday's level ERROR log documents with date math and posts the total to Slack every morning.
Audit OpenFaaS function replica availability via Gateway API, triggering Slack alerts on degraded pods.
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.
