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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns. Training Performance Media model training poses multiple system challenges in storage, network, and GPUs.

Media 299
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility.

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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

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. But it doesn’t stop there.

DevOps 231
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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. The papers are from 1987, 1997 and 2007. In 2007 Goetz revisited the results, this time also including SSD storage into the mix, which not surprisingly did change everything. All Things Distributed. By Werner Vogels on 24 August 2012 04:00 PM.

Storage 87
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. We had an advanced team of database administrators and access to top experts within Oracle. million requests per second.

Internet 113
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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. Operating system Linux is the most common operating system for high-performance MySQL servers. have been released since then with some major changes. > 128GB), we recommend turning on NUMA interleaving.