Remove Cache Remove Presentation Remove Traffic
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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from being built on top of Mesos to Kubernetes, handling an ever-increasing volume of containers. This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

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Improving our video encodes for legacy devices

The Netflix TechBlog

264/AVC Main profile family still represents a substantial portion of the members viewing hours and an even larger portion of the traffic. Performance results In this section, we present an overview of the performance of our new encodes compared to our existing H.264 Yet, given its wide support, our H.264/AVC

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Cache and Prizes

Alex Russell

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

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Optimising for High Latency Environments

CSS Wizardry

They don’t currently have a CDN , yet they do experience high traffic levels from all over the globe: Being geographically close to your audience is the biggest step in the right direction. An inefficiency present in HTTP/1.0 Cache Everything If you’re going to do something, try only do it once.

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How to Optimize Digital Experience and Operations with Dynatrace

Dynatrace

Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Missing caching layers, e.g. provide a read-only cache for static data. Dynatrace gave them automated insights into traffic behavior and the impact of queued up requests to the end-users (up to 3s queue time).

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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

However, storing and querying such data presents a unique set of challenges: High Throughput : Managing up to 10 million writes per second while maintaining high availability. Handling Bursty Traffic : Managing significant traffic spikes during high-demand events, such as new content launches or regional failovers.

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