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
Query threat intelligence APIs for suspicious IPs, evaluate risk confidence scores via Python, and trigger SecOps alerts.
Create a Kubernetes pod, inspect its status with kubectl, log the result, and clean it up automatically.
Validate a nested order webhook payload for required fields with JSONata, flatten it into a flat record with computed totals, and only forward it once it passes.
Find pods stuck Terminating because a finalizer never cleared, name the blocking finalizer, strip it behind an approval gate then re-read the API.
Redis-backed digital twin fed by realtime MQTT telemetry with drift detection and reconcile commands.
Recover an opted-in paused Deployment only when a pod template is pending and prove its intended rollout completes.
Provision with Terraform, configure with Ansible, then trigger a Jenkins test job, poll it to completion, and report to Discord.
Pair every intercompany document between entities, explain each difference, book goods in transit, eliminate balances and income in group currency and send the translation difference to the CTA.
Monitors Istio control plane (istiod) for xDS configuration distribution errors and rejected sidecar proxies.
Detect OOMKilled containers, recommend a higher memory limit, and patch the workload after a human approves it.
Call a REST API in a Dockerized Python task, save the JSON, and load it straight into a MongoDB collection.
Check every Kafka client-id quota against a declared policy and a byte-rate ceiling, alert Slack, and optionally apply the policy with QuotaAlter and verify it.
Kubernetes Deployment restart remediation with automatic recovery for allowed non-protected namespaces and human approval for protected namespaces, plus rollout verification and Slack notifications.
Retain ownerless failed Pods for investigation, archive status diagnostics then remove their pinned identities with verification.
Triggers a Wayback Machine save of a URL, verifies the snapshot landed, and alerts on failure.
Checkpoint a Kafka consumer group's committed offsets every hour, and after a bad consumer release rewind the group to the last checkpoint before it, with approval and a verified result.
Read-only describe a Kafka consumer group's per-partition lag via the AdminClient on a schedule and page Slack when it crosses a warning or critical threshold.
Prove that a MirrorMaker 2 target holds the same records, find the exact target offset of every consumer group offset, set them after an approval and check each one record by record.
Find Kafka ACLs that grant too much (User:*, wildcard topics, cluster ALL, operation ALL) or belong to unknown principals, alert Slack, and optionally delete the high-severity ones and verify.
Fire on every message landing on a live JMS queue, alert Slack when its JMS timestamp shows it sat longer than your SLA, and log a governance audit trail.
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.
