What is Flyte?
Flyte is an open-source workflow automation platform for building production-grade data and ML pipelines. It enables teams to orchestrate complex processes with reproducibility across environments, transforming tangled dependencies into automated pipelines that provide a single source of truth.
How to use Flyte?
Define tasks using Python decorators, orchestrate them into workflows by declaring sequences and dependencies to create a DAG. Register and execute on a Flyte backend (Kubernetes), which handles resource allocation, scheduling, logging, and retries, automating your entire ML pipeline.
Core features of Flyte?
• Scalability & Performance: Cloud-native architecture that automatically scales for any workload
• Reproducibility & Versioning: Automatic versioning of code, inputs, outputs, and environments
• Collaboration & Reusability: Shareable tasks and workflows across teams
• Advanced ML Patterns: Built-in support for hyperparameter tuning and distributed training
• Multi-Cloud Support: Seamless deployment across hybrid and multi-cloud environments

