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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata.

Media 294
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The Netflix Cosmos Platform

The Netflix TechBlog

Background The Media Cloud Engineering and Encoding Technologies teams at Netflix jointly operate a system to process incoming media files from our partners and studios to make them playable on all devices. The first generation of this system went live with the streaming launch in 2007. Delivery?—?A

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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes. Business process automation Business process automation is the foundation for improving operational efficiency. But it doesn’t stop there.

DevOps 228
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Back-to-Basics Weekend Reading - The 5 Minute Rule - All Things.

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. For this purpose I have picked work based on two papers by Jim Gray , the brilliant IBM / Tandem / Microsoft researcher, who won a Turing award for his contributions to data and transaction processing. The papers are from 1987, 1997 and 2007. Comments ().

Storage 87
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The Real Problem with Software Development

O'Reilly

OS X, which used to trumpet “It just works,” has evolved to “it used to just work”; the most user-centric Unix-like system ever built now staggers under the load of new and poorly thought-out features. Most professional programmers work on large systems that can consist of thousands of functions and millions of lines of code.

Software 124
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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Operating system Linux is the most common operating system for high-performance MySQL servers.