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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. We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters.

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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Continue reading below ↓ Meet Smashing Online Workshops on front-end & UX , with practical takeaways, live sessions, video recordings and a friendly Q&A. Active Memory Caching. When you want to get data that you already had quickly, you need to do cachingcaching stores data that a user recently retrieved.

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ChatGPT vs. MySQL DBA Challenge

Percona

At the same time that I see database engineers relying on the tool, sites such as StackOverflow are banning ChatGPT. ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. If we expand the cache concept more, the buffer pool could be even less if the working set (hot data) is smaller.

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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

This could be an image, a block of text, or even an embedded video. Layout Shifts From Dynamic And Static Content We have been using dynamic content serving, where each request reaches our back-end server and triggers processes like database retrievals and page renderings.

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Procella: unifying serving and analytical data at YouTube

The Morning Paper

That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. to understand YouTube video performance) drive tens of thousands of canned (known in advance) queries per second, that need to be served with latency in the tens of milliseconds.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. The CFQ works well for many general use cases but lacks latency guarantees.