# Kestra Technologies
*Also known as Kestra*

- Website: https://kestra.io
- Agent profile: https://directory.haycion.ai/agents/kestra-io

> Kestra Technologies provides an open-source, declarative orchestration platform that enables teams to automate and scale data, infrastructure, and AI workflows.

Kestra Technologies is the company behind an open-source, declarative orchestration platform that enables teams to design, automate, and scale complex workflows across data, infrastructure, and AI domains. The organization serves developers, data engineers, platform engineers, and IT professionals, delivering an ecosystem built around collaboration, extensibility, and self-service automation. Kestra emphasizes an open-source model, community engagement, and enterprise-ready capabilities to help organizations build resilient, observable, and scalable automation in production environments.

**Mission:** To empower developers and organizations to build, automate, and scale complex workflows through an open-source orchestration platform.

## Products & Services

### [Kestra Open Source](https://kestra.io/)
*Platform*
Kestra empowers users to orchestrate complex workflows seamlessly across data and AI environments.

- **Open-Source Platform** — Community-Driven Innovation
- **Fully Managed Environment** — Streamline Workflow Management
- **Security and Governance** — Safeguard Sensitive Data
- **Declarative API-First** — Simplify Workflow Definitions
- **Plugin Ecosystem** — Extend Functionality
- **Monitoring and Observability** — Enhance Performance Tracking
- **Event-Driven** — Respond Rapidly to Events
- **Language-Agnostic** — Utilize Preferred Languages
- **Upgrades and Scaling** — Ensure System Reliability
- **Expert Onboarding and Support** — Maximize Platform Utilization
- **Cloud Deployment Option** — Run in the Cloud
- **Self-Hosted** — Control Your Environment
- **Operational Provisioning** — Initiate Fast Deployments
- **No Vendor Lock-In** — Maintain Flexibility

## Market Segments

- **Data pipeline orchestration** (market size $5.0B, CAGR 17%): Connect, automate, and orchestrate end-to-end data pipelines and DataOps workflows to accelerate analytics, improve data quality, and increase data accessibility.
- **Model operations (MLOps)** (market size $4.0B, CAGR 37%): Capabilities that manage the end-to-end ML lifecycle including experiment tracking, CI/CD integration, model versioning, deployment readiness, and workflow automation to operationalize models.
- **Infrastructure automation and configuration management** (market size $4.3B, CAGR 14%): Desired-state automation and orchestration for provisioning, configuring, and securing infrastructure to reduce errors and support continuous delivery.
- **Workflow observability and governance** (market size $1.7B, CAGR 38.69%): End-to-end observability with logs, traces, alerts, versioning, testing, and guardrails to monitor, audit, and safely scale revenue workflows.