Just after Uber open-sourced its debugging tool ‘Manifold’, Lyft open sources its debugging tool ‘Flyte’ for managing machine learning workflows. Lyft describes ‘Flyte as a “structured and distributed platform for concurrent, scalable, and maintainable machine learning workflows.” ‘Flyte’ is built to en-power and speedup machine learning models and data orchestration to be compatible with the latest products and applications.
Flyte comes with Flytekit — a Python SDK to develop applications on Flyte to allow contributors to provide rapid integrations with new services or systems. Apart from Flytekit, ‘Flyte’ also provides backend plugins which can be used to create and manage Kubernetes resources, including CRDs like Spark-on-k8s, or any remote system like Amazon Sagemaker, Qubole, BigQuery, and more.
Features of ‘Flyte’
Github: https://github.com/lyft/flyte
Docs: https://lyft.github.io/flyte
Asif Razzaq is the CEO of Marktechpost AI Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.
