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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130
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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make it scalable? . Cloud-native?

Google 132
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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make it scalable? . Cloud-native?

Google 130
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Kubernetes for Big Data Workloads

Abhishek Tiwari

Kubernetes has been particularly successful with microservices and contemporary applications. In fact, if we go by current trends containerised microservices running on Kubernetes are the future. Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters.

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Frankenstein Migration: Framework-Agnostic Approach (Part 2)

Smashing Magazine

In this article, we’ll be putting all the theory to the test by performing step-by-step migration of an application, following the recommendations from the previous part. However, no matter the size and complexity of your real application, the approach is well-scalable and is supposed to be suitable for projects of any size.

Storage 66
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The Netflix Cosmos Platform

The Netflix TechBlog

Orchestrated Functions as a Microservice by Frank San Miguel on behalf of the Cosmos team Introduction Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. The first generation of this system went live with the streaming launch in 2007.