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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. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency. But it doesn’t stop there.

DevOps 219
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Improving our video encodes for legacy devices

The Netflix TechBlog

we announced our intention to stream video over 13 years ago, in January 2007?—?and and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. 264/AVC Main profile family. Yet, given its wide support, our H.264/AVC

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Progress Delayed Is Progress Denied

Alex Russell

The initial implementation was removed from Blink post-fork and re-implemented on new infrastructure several years later. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. Since 2007, support for these features has barely improved.

Media 145
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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners.

Media 290
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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. Finally, relevant abstractions allow media algorithm developers to focus on the manipulation of video and audio signals rather than on infrastructural concerns. Over the years, the system expanded to support various new use cases.

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The Netflix Cosmos Platform

The Netflix TechBlog

The first generation of this system went live with the streaming launch in 2007. Dealing with production issues became an expensive chore that placed a tax on all developers because infrastructure code was all mixed up with application code. Our goals are to make Cosmos easier to use, more resilient, faster and more efficient.

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Strategic IT Does More than Assume Technology Risk, it Mitigates Business Risk

The Agile Manager

Software development capacity, IT infrastructure, and software as a service are all examples of risk assumption. These people factors are critical, but are but one source of risk: IT must be able to manage service availability, requirements accuracy, security and performance across software and infrastructure.