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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

While human-friendly APIs are delightful, it is really the integrations to our production systems that give Metaflow its superpowers. Instead, we provide a robust foundational layer with integrations to our company-wide data, compute, and orchestration platform, as well as various paths to deploy applications to production smoothly.

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. In the snippet above, we’re accessing the detail key for the video object with id 80154610.

Latency 233
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Revisiting “Serverless Architectures”

The Symphonia

Fast forward to two years later and the article has had more than half a million visits, regularly appears in the top five Google search results for “Serverless”, and helped launched Symphonia ?—?my Serverless is a highly dynamic area and two years is a lifetime in this world. The fundamental structure of the article hasn’t changed?—?clearly

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Edge Authentication and Token-Agnostic Identity Propagation

The Netflix TechBlog

Imagine having multiple protocols, multiple tokens, 200M+ users, and thousands of device types, and the problem can explode in scope. In the process, we changed end-to-end identity propagation within the network of services to use a cryptographically-verifiable token-agnostic identity object.

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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. What is workload in cloud computing?

Cloud 130
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? In effect, the engineer designs and builds the world wherein the software operates. The new category is often called MLOps.

DevOps 138
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Consumer-driven Coupling: Patterns and Anti-patterns

Strategic Tech

Organisations maximising the advantages provided by microservices tend to be organisations which view microservices not just as a technical tool, but a sociotechnical tool.The way software systems are shaped determines the communication paths and the coupling between development teams.