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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. For more details, read this page about Metaflow’s integration with AWS. Metaflow removes this cognitive overhead.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. For more details, read this page about Metaflow’s integration with AWS. Metaflow removes this cognitive overhead.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. To make ML applications production-ready from the beginning, developers must adhere to the same set of standards as all other production-grade software.

DevOps 138
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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well.Â

AWS 136