Remove Efficiency Remove Traffic Remove Tuning Remove Video
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Improving our video encodes for legacy devices

The Netflix TechBlog

by Mariana Afonso , Anush Moorthy , Liwei Guo , Lishan Zhu , Anne Aaron Netflix has been one of the pioneers of streaming video-on-demand content?—?we we announced our intention to stream video over 13 years ago, in January 2007?—?and and thus fall back to less efficient encode families. 264/AVC Main profile family.

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Bending pause times to your will with Generational ZGC

The Netflix TechBlog

More than half of our critical streaming video services are now running on JDK 21 with Generational ZGC, so it’s a good time to talk about our experience and the benefits we’ve seen. Each of these errors is a canceled request resulting in a retry so this reduction further reduces overall service traffic by this rate: Errors rates per second.

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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Fortunately, it was videoed for those who missed it. Fortunately, it was videoed for those who missed it. Casey Rosenthal (traffic and chaos) Models of Availability. We help where we can.

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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Fortunately, it was videoed for those who missed it. Fortunately, it was videoed for those who missed it. Casey Rosenthal (traffic and chaos) Models of Availability. We help where we can.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Investigating a video streaming failure consists of inspecting all aspects of a member account. We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments. which is difficult when troubleshooting distributed systems.

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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. To that end, the Video and Image Encoding team in Encoding Technologies (ET) has spent the last few years rebuilding the video processing pipeline on our next-generation microservice-based computing platform Cosmos.