Remove Cache Remove Network Remove Strategy Remove Traffic
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Update of our SSO services incident

Dynatrace

These include improving API traffic management and caching mechanisms to reduce server and network load, optimizing database queries, and adding additional compute resources, just to name some. While some of these are already done, such as adding additional compute, others require more development and testing. Hopefully never.)

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

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Improving our video encodes for legacy devices

The Netflix TechBlog

In addition, with 193M members and counting, there is a huge diversity in the networks that stream our content as well as in our members’ bandwidth. It is, thus, imperative that we are sensible in the use of the network and of the bandwidth we require. Yet, given its wide support, our H.264/AVC

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Dynamic Content Vs. Static Content: What Are the Main Differences

IO River

This is where Content Delivery Networks (CDNs) come into play. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. Since dynamic range is generated on-the-fly, it may have limited caching potential.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI.

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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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Breaking Down Bulky Builds With Netlify And Next.js

Smashing Magazine

Without build optimizations (incremental builds, caching, we will get to those soon) this will eventually become unmanageable as well — think about going through all images in a website: resizing, deleting, and/or creating new files over and over again. The cache is invalidated on a time basis. Creating an On-Demand builder.

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