Remove 2007 Remove Latency Remove Systems Remove Tuning
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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. Over the years, the system expanded to support various new use cases.

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The Netflix Cosmos Platform

The Netflix TechBlog

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. 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

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. Consider an event-driven automation system designed for incident management. But it doesn’t stop there.

DevOps 217
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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. If you see concurrency issues, you can tune this variable.

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

All Things Distributed

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

Internet 128
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Good Management Can Work Miracles

The Agile Manager

When it all comes together, the overall benefit of the resulting system can be incredible, such as an increase in life expectancy. IT reward systems are also often based on individual performance tied to granular and highly focused statements of accomplishment. 5 Grand Prix Tune-Ups” F1 Racing Magazine. August 2007.