Draft:Kestra
This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate, draft, or rewrite article content.
Please delete the portions which were LLM-generated, and summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have used an LLM but you believe that your use is covered by one of the two exceptions (basic copyediting and translation between two languages in which you are fully fluent), please provide a transcript of the prompt(s) you used while writing your draft (see the how-to guide). Reviewers can make mistakes. If you have not received any LLM assistance, you may seek a second opinion at the AfC Help Desk. See the advice page on large language models for more information.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
This draft's references do not show that the subject meets Wikipedia's criteria for inclusion. The draft requires multiple published secondary sources that:
Declined by Sulfurboy 49 days ago.
| |
Comment: I am concerned there may have been some LLM use here. Wikipedia articles need to be 100% human text. Also, this is too much telling us about the product (as if we were potential customers) and not enough telling us what independent sources have said about it. What do reviewers actually say about it?You may want to read WP:CORPTRIV for information about routine business news that doesn't establish notability. The funding rounds fall squarely into that. M kuhner (talk) 06:30, 28 August 2026 (UTC)
- Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Donvirgule (talk) 11:31, 11 June 2026 (UTC)
| Kestra | |
|---|---|
| Developer | Kestra Technologies |
| Release | 2021 |
| Written in | Java |
| Operating system | Cross-platform |
| Type | Workflow orchestration |
| License | Apache License 2.0 |
| Website | kestra |
Kestra is an open-source workflow orchestration platform released under the Apache License 2.0. It allows users to define, schedule, and run workflows using a declarative YAML syntax, and supports the execution of tasks written in several programming languages.[1][2]
The software is developed by Kestra Technologies, co-founded in 2021 by Emmanuel Darras and Ludovic Dehon.[1]
History
[edit]Kestra Technologies was co-founded by Emmanuel Darras, formerly a co-founder of the French video game studio Ankama and Ludovic Dehon. Development began in 2021, with the source code released on GitHub under the Apache License 2.0;[1] the software was made publicly available in February 2022.[3] It was initially developed to address the data-flow orchestration needs of the French retailer Leroy Merlin, where it was deployed in production.[4]
The platform is described as an alternative to existing data orchestration tools such as Apache Airflow.[1]
In October 2023, the company raised a $3 million pre-seed round.[1] In September 2024, Kestra raised an $8 million seed round led by Alven.[5][6] In March 2026, the company announced a $25 million Series A funding round led by RTP Global, bringing its total funding to $36 million.[7][8]
Design
[edit]Kestra workflows, called flows, are defined in YAML files. Each flow specifies a namespace, an identifier, a list of tasks, and optional triggers.[1] Tasks can run code written in various programming languages, including Python, JavaScript, R, and shell scripts, through plugins.[1]
The platform supports scheduled execution as well as event-driven triggers, including triggers based on Apache Kafka messages, webhook calls, and cloud storage events.[2]
The engine records the execution state of each individual task. Workflows can therefore wait for external events, apply error handling to specific tasks, execute tasks in parallel, and resume at the point of interruption after a delay of hours or days.[3]
The server is written in Java and can be deployed as a standalone process for local use or as a distributed system.[2] The server, scheduler, executor and worker components run as separate deployments that can be scaled independently, with workers carrying out task execution; an official Helm chart is published for Kubernetes deployments. An official Terraform provider represents flows, namespaces, secrets, users and roles as Terraform resources.[3]
In addition to the open-source edition, Kestra offers a commercial enterprise edition.[1] A 2025 review of open-source orchestration projects noted that some features, including single sign-on, are available only in that edition.[9]
References
[edit]- 1 2 3 4 5 6 7 8 Dillet, Romain (2023-10-04). "Kestra is an open source data orchestration platform for complex workflows". TechCrunch. Retrieved 2026-06-11.
- 1 2 3 Messetti, Andrea (2022-03-31). "Kestra: a Scalable Open-Source Orchestration and Scheduling Platform". InfoQ. Retrieved 2026-06-11.
- 1 2 3 Lorenz, Philip (2026-06-20). "Kestra: Ops automation beyond CI/CD". heise online. Retrieved 2026-08-17.
- ↑ Buyse, Nicole (2023-11-09). "Kestra finance son logiciel qui orchestre les flux informatiques". Les Échos (in French). Retrieved 2026-06-11.
- ↑ Dillet, Romain (2024-09-23). "Kestra raises another $8 million for its open source orchestration platform". TechCrunch. Retrieved 2026-06-11.
- ↑ Bourgin, Yoann (2024-10-02). "Kestra lève 8 millions de dollars pour sa solution d'orchestration open source". L'Usine digitale (in French). Retrieved 2026-06-11.
- ↑ Simone, Stephanie (2026-03-31). "Kestra Secures $25M in Funding Round to Accelerate Orchestration Standards for Enterprises". Database Trends and Applications. Retrieved 2026-06-11.
- ↑ Dina, Cristian (2026-03-31). "French open-source orchestration platform Kestra raises $25M". The Next Web. Retrieved 2026-06-11.
- ↑ Sadeghi, Alireza (2025-02-02). "State of Open Source Workflow Orchestration Systems 2025". Practical Data Engineering. Retrieved 2026-08-17.
External links
[edit]Category:Workflow applications Category:Software companies of France Category:Software companies established in 2021
- provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.