Event Driven Open Source Orchestration & Scheduling Platform for Mission Critical Applications
Kestra is an open-source orchestration platform that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence.
In just a few lines of code, you can create a flow directly from the UI. Thanks to the declarative YAML interface for defining orchestration logic, business stakeholders can participate in the workflow creation process.
Kestra offers a versatile set of language-agnostic developer tools while simultaneously providing an intuitive user interface tailored for business professionals. The YAML definition gets automatically adjusted any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is always managed declaratively in code, even if some workflow components are modified in other ways (UI, CI/CD, Terraform, API calls).
Data Engineering, DataOps, Data Orchestration, Machine Learning, DevOps, CI/CD, Data Science, Data Pipeline, Open Source, Java, Python, YAML, Software Engineering, ETL, and ELT
Event Driven Open Source Orchestration & Scheduling Platform for Mission Critical Applications
Kestra is an open-source orchestration platform that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence.
In just a few lines of code, you can create a flow directly from the UI. Thanks to the declarative YAML interface for defining orchestration logic, business stakeholders can participate in the workflow creation process.
Kestra offers a versatile set of language-agnostic developer tools while simultaneously providing an intuitive user interface tailored for business professionals. The YAML definition gets automatically adjusted any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is always managed declaratively in code, even if some workflow components are modified in other ways (UI, CI/CD, Terraform, API calls).
Use declarative language to build simpler, faster, scalable and flexible pipelines
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