Introduction
Flyte is an open-source, production-grade workflow orchestration platform focused on scalability, strong typing and reproducibility. It enables teams to build and run complex data and ML pipelines on Kubernetes.
Key features
- Strongly typed interfaces and data guardrails (Flyte types) to improve data quality and maintainability.
- Multi-language SDK support (Python, Java, etc.) with containerized execution to isolate dependencies.
- Advanced capabilities such as dynamic workflows, map tasks, task-level caching and failure recovery.
- Local sandbox, CLI tools and a visual console to ease development and debugging.
Use cases
- Production orchestration of data and ML pipelines on cloud or on-prem Kubernetes clusters.
- Migrating research code to reproducible, versioned production workflows with data lineage.
- Optimizing resource utilization and recovery strategies for large-scale parallel or long-running jobs.
Technical details
- Core components implemented in Go, with SDKs (e.g., Python’s flytekit) to simplify developer experience.
- Deep Kubernetes integration for containerized tasks, dynamic resource scheduling and multi-tenancy.
- Extensive docs and community support at https://docs.flyte.org/ , adopted by many large organizations.