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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

In this article, we cover a few key integrations that we provide for various layers of the Metaflow stack at Netflix, as illustrated above. Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly.

Systems 226
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. Background The Netflix Android app uses the falcor data model and query protocol.

Latency 233
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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. Egnyte is a Secure Content Platform built specifically for businesses. You can reach him at @kpatelwork. Introduction. Egnyte Connect Platform.