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Best practices and key metrics for improving mobile app performance

Dynatrace

By monitoring metrics such as error rates, response times, and network latency, developers can identify trends and potential issues, so they don’t become critical. Load time and network latency metrics. Minimizing the number of network requests that your app makes can improve performance by reducing latency and improving load times.

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. What Comprises Video Streaming - Traffic CharacteristicsWith the emphasis on a high-quality streaming experience, the optimization starts from the very core. Those days are long gone.

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. ‍What Comprises Video Streaming - Traffic CharacteristicsWith the emphasis on a high-quality streaming experience, the optimization starts from the very core. Those days are long gone.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

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. In the snippet above, we’re accessing the detail key for the video object with id 80154610. Instead, it is part of a different path : [videos, <id>, similars].

Latency 233
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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.

Cache 251
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Designing Instagram

High Scalability

Generating machine learning based personalized recommendations to discover new people, photos, videos, and stories relevant one’s interest. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. Users should be able to like and comment the posts.

Design 334
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

The video is now on [YouTube]: The slides are [online] and as a [PDF]: first prev next last / permalink/zoom In Q&A I was asked about CXL (compute express link) which was fortunate as I had planned to cover it and then forgot, so the question let me talk about it (although Q&A is missing from the video). Ford, et al., “TCP