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.
2,500+ 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 2,500+ 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
Audits Pomerium databroker storage errors and IdP sync telemetry to detect session desync and trigger automated alerts.
Audit disabled integer foreign-key triggers, count existing orphan rows then restore enforcement under bounded locks and approval.
Fetch the requested vector ids, delete them, fetch again to prove absence, and post a before-and-after audit message to Slack.
SCD Type 2 customer dimension in Postgres, with quarantine and Slack only on real changes.
Poll Portainer's Docker API proxy on a schedule, detect containers stuck restarting or unexpectedly exited, and alert Slack before a crash loop goes unnoticed.
Monitors transaction freeze horizon in pg_database to prevent emergency read-only lockups.
Audits Fairwinds Polaris security telemetry for cluster score degradation, critical danger items, and root privileges.
Mine log templates with Drain3 before and after a deploy, flag templates that appear only after it and known ones that surge, then signal a rollback.
Run pip-audit against locked pins, grade findings by severity, block the release above your budget, and alert Slack.
Join GeoJSON points to service zones, including boundaries, and export matched, unmatched and ambiguous assignments as CSV.
Detect PostgreSQL lock conflicts and cascading uncommitted blockers via pg_locks, alerting DBAs on Slack before connections exhaust.
List a phpIPAM subnet's addresses and alert Slack naming the real IPs marked in-use with no hostname and no description, a ghost allocation nobody can attribute.
A monthly flow lists Pipedrive persons, counts records missing emails or owners in Python, and posts the hygiene metrics to Discord.
Classify an Apache Pinot table HEALTHY, STALE, or EMPTY_TABLE from its own ingestion lag, and alert Slack when a streaming consumer stalls.
Drop a recording into S3 to transcribe it locally with Whisper, draft show notes and chapters with an LLM, approve them, and publish the audio and a validated RSS feed.
Join features to labels as they were known at each label's cutoff with a DuckDB ASOF join, audit the set for future rows and correlation lift, then publish it or block it.
Monitor PostgreSQL connection pool utilization, aged idle-in-transaction sessions, and deadlocks with automated Slack alerts.
Find PostgreSQL tables with autovacuum switched off or a lax vacuum scale factor, and a server with autovacuum off, alert Slack with the dead rows, and optionally reset, vacuum and verify.
Compare a PostgreSQL source and Debezium replica, row by row. Block cutover when the replica has missing, extra, or changed records.
Check the exact versions you pin on PyPI, npm and crates.io every day and alert when a maintainer yanks or deprecates one, with the reason and the latest release.
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.
