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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. This approach has a handful of benefits.

Traffic 345
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Automate CI/CD pipelines with Dynatrace: Part 2, Deploy stage

Dynatrace

Even when the staging environment closely mirrors the production environment, achieving a complete replication of all potential scenarios, such as simulating extremely high traffic volumes to assess software performance, remains challenging. This can lead to a lack of insight into how the code will behave when exposed to heavy traffic.

Traffic 266
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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130
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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

1) depicts the migration of traffic from fixed bitrates to DO encodes. 1: Migration of traffic from fixed-ladder encodes to DO encodes. In spite of reaching higher qualities than the fixed ladder, the HDR-DO ladder, on average, occupies only 58% of the storage space compared to fixed-bitrate ladder. The graphic below (Fig.

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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.

Traffic 283
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Compression Methods in MongoDB: Snappy vs. Zstd

Percona

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 105
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Multi Cloud vs Hybrid Cloud Strategy

Scalegrid

ScaleGrid offers solutions that address these difficulties by simplifying administration processes in multi-cloud environments and enabling smooth integration among various cloud platforms. What is the primary benefit of multi-cloud solutions in comparison to hybrid cloud solutions? </p>

Strategy 147