Powerful orchestration.
Simplified workflows.
Unify orchestration for all engineers. Build and govern
all your workflows — Everything-as-Code, from the UI and with AI.
Trusted by Industry Leaders
Unify orchestration for all engineers. Build and govern
all your workflows — Everything-as-Code, from the UI and with AI.
Onboard new team members quickly, and maintain your workflows with minimal effort thanks to Kestra's declarative syntax.
Configure your workflows to run on a schedule, via webhooks, APIs, event-based triggers, or in real-time with millisecond latency.
Define your flow in YAML from the embedded Code Editor, run them directly from the UI, scale to any infrastructure.
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Workflows Executed
It's funny, you don't notice pain points when something is SO MUCH BETTER than what you are currently using.
Kestra is amazing and checks all the boxes for a single platform to do everything I want to do!
I'm machine learning engineer and I use Kestra to build my AI workflows. My hope is to give it more structure and also to build more stable products with it.
What I really like about Kestra is that I can quickly put stuff together with YAML instead of having to write out and improve again and again on Python code.
We migrated our backend for data transformation to Kestra. Mostly for better monitoring and execution tracking.
I came across Kestra while searching for a low-code orchestration solution and I'm enjoying it!
'm transitioning because I like Kestra platform. I'm loving it!
After looking around and playing with some other tools I like Kestra because of the ability to maintain it using Terraform.
Thanks to Kestra I've been able to orchestrate Cloudquery imports in a multi-tenant scenario. That has been incredibly useful actually.
We are implementing Kestra as a better alternative to Apache AirFlow and cron.
We have an existing automated trading system running in Prefect version 2 that needs upgrading to 3, and Kestra seems way more simple.
Kestra has been a keystone to design complex executions flows while enhancing our Infrastructure as Code best practices.
Compared to Airflow Kestra seems to be a more appropriate tool to use. I would really like to see it listed more often in the tech stack requirements for data engineering roles
Our data capability has grown to the point of needing some solid orchestration and Kestra is a perfect fit.
I Love Kestra! It allows me to focus on the hard problems and the interesting part of my work without having to spend time on boring and repetitive tasks.
Kestra takes the best of Airflow and Google Workflows in one simple and elegant solution. It scales and integrates itself easily in any ecosystem thanks to the plugins library
I was thinking about Rundeck. But your solution provides more flexibility.
I want to congratulate everyone involved in this project - it's amazing! I've been running some proof-of-concept tests to evaluate Kestra for my company's needs, and it seems to be a perfect fit. I work for a biotech software development company where flexibility in executing workflows is key.
We tested it with colleagues and we love Kestra! Our stack will be based on dlt/dbt/clickhouse and Kestra.
We use Kestra to orchestrate account provisioning and data tasks, so easy to get started! We already have some data scraping stuff in Kestra too that runs on schedules.
it's great product with a fantastic web UI: it's extremely approachable and clear, and I love the yaml declarative approach!
I love Kestra, easy to use, easy to introduce to the team.
We had some experiments done on Kestra and we are impressed. We will implement it in production in coming months.
Very simple, great user experience, I had a terrible experience with Airflow.
Orchestrating and monitoring complex systems has never been easier thanks to the beautiful web interface
