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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Logging is selective to cases where the old and new responses do not match.

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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side.

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Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The data warehouse is not designed to serve point requests from microservices with low latency.

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Top 10 Tips for Making the Spark + Alluxio Stack Blazing Fast

DZone

In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. But to get the best performance, like any technology stack, you need to follow the best practices.

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Faster time to value with enhanced handling of OneAgent runtime data

Dynatrace

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. See details below. See details below.

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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring is the practice of using tools and technologies to gather and evaluate metrics as a customer navigates an application to determine the quality of a user’s interaction with its digital touchpoints. What is digital experience monitoring? Endpoint monitoring (EM). Endpoints can be physical (i.e.,

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Netflix Video Quality at Scale with Cosmos Microservices

The Netflix TechBlog

Such coupling problems abound with our Reloaded architecture, and hence the Media Cloud Engineering and Encoding Technologies teams have been working together to develop a solution that addresses many of the concerns with our previous architecture. This enables us to use our scale to increase throughput and reduce latencies.

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