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
Score each change request on service criticality, blast radius, size, backout plan, testing and the team's failure rate, catch freeze windows and colliding changes, and route it to pre-approval, peer review or the CAB.
Audits Chroma collections to validate HNSW distance metrics and prevent RAG retrieval corruption.
Automated ChromaDB collection preflight validation, paginated vector extraction to Parquet, and AWS S3 disaster recovery backup.
Check every commit author of a newly opened pull request against your CLA roster, open a signature request issue and ping Slack when someone is missing.
Fetch the Ceph Dashboard's own full health report and alert Slack on HEALTH_WARN or HEALTH_ERR, read-only.
Watches TLS certificates in a namespace and alerts on Slack before they expire.
Diff a CKAN open dataset's DataStore schema, licence and row count against the last approved snapshot every day, let Gemini explain breaking changes, pause for a human only when a change would break downstream loads, and keep a DuckDB ledger of every check and decision.
Find Citus workers that are missing a reference table after citus_add_node, list the copies that would run, then call replicate_reference_tables behind an approval and fail the run if a worker is still short.
Audit Chroma vector collections for tombstoned and dangling embeddings, archive quarantined documents to KV, safely evict stale vectors with human approval, and verify post-deletion state.
Fan out CIS benchmark controls as parallel subflows against a host, log verdicts, and auto-scan new VMs right after provisioning.
Detect ClickHouse dictionaries that fail to load, surface each last_exception, reload them behind a dry-run and approval gate, then re-read system.dictionaries and fail if any is still broken.
List the Cerebras models your API key can reach, alert Slack when an unapproved model appears or an approved one disappears, and log a governance audit trail.
Detect debris in ClickHouse system.detached_parts, drop the stale parts behind a dry-run and approval gate with a first-seen grace window, then re-read system.detached_parts and fail if any target remains.
Watch the CISA Known Exploited Vulnerabilities catalog, match new entries to your vendors and products, add EPSS scores and post an AI-prioritized Slack alert.
Keep a Chroma collection in sync with a Markdown docs repository, embedding only changed sections locally with FastEmbed, deleting stale chunks, and failing the run if retrieval regresses.
Build a RAG chat-with-your-data flow that retrieves answers from Elasticsearch and generates grounded responses with OpenAI.
Check Chainlink-style price feeds on any EVM chain for staleness, invalid answers, carried-over rounds and deviation from a reference, alert once per change, and let on-call pause your protocol.
Audit Cerbos PDP authorization policies against canary test vectors, detect policy drift, and dispatch Slack alerts.
Find Citus workers left with isactive false in pg_dist_node after an outage, prove each one answers a query right now, then activate the healthy ones behind an approval and read isactive back to confirm the cluster is wide again.
Poll the Cert Spotter Certificate Transparency API on a schedule, advance an opaque id cursor in the KV store, then report hostnames nobody registered, certificate authorities outside your allowlist plus new wildcards.
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.
