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Widely used open-source automation server with a large plugin ecosystem for building CI/CD pipelines and automating software delivery.

• DevOps

Unified programming model for defining batch and stream data processing pipelines that can run portably across multiple execution engines.

• Analytics

Machine learning platform for Kubernetes that bundles pipelines, model training, hyperparameter tuning, and serving into one toolkit.

• AI & Machine Learning

Distributed event streaming platform that stores data as a durable, replayable log, built for high-throughput real-time pipelines rather than traditional point-to-point queuing.

• Backend

Document parsing library that converts PDFs, Word docs, and other formats into clean, structured data ready for LLM and RAG pipelines.

• AI & Machine Learning

Declarative, YAML-based orchestration platform for scheduling and orchestrating data pipelines, ETL jobs, and business workflows.

• Automation

General-purpose, CNCF-graduated policy engine for enforcing authorization, compliance, and configuration rules as code across microservices, APIs, Kubernetes, and CI pipelines.

• DevOps

Python-native workflow orchestration platform for building, scheduling, and monitoring data pipelines with ordinary Python code.

• Automation

Kubernetes-native building blocks for creating CI/CD pipelines, giving teams a standard, portable way to define pipelines as Kubernetes resources.

• DevOps

Simple, container-native CI/CD engine extensible via plugins, designed to run pipelines with a lightweight server and agent footprint.

• DevOps