
Arslan Ahmad
@arslan_ah
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Empowering Engineers to Ace Coding and System Design Interviews | Creator of 'Grokking' Course Series | Founder Design Gurus
Seattle, WA
Joined April 2009
๐ ๐๐๐ฒ ๐๐ญ๐ซ๐๐ญ๐๐ ๐ข๐๐ฌ ๐ญ๐จ ๐๐จ๐จ๐ฌ๐ญ ๐๐๐ ๐๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐. โพ Use Caching.Store frequently accessed data in memory so you donโt have to fetch it from the database or other slow sources repeatedly. This drastically cuts down on response time. โพ Minimize
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๐๐๐๐ ๐๐. ๐๐๐ฆ๐ โ Trade-Offs in S๐๐๐๐ฒ๐บ D๐ฒ๐๐ถ๐ด๐ป I๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐. Too many candidates memorize the terms. But few truly know when to choose one over the other. In high-scale system design interviews, this trade-off reveals your architectural maturity.
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๐๐จ๐ฐ ๐ญ๐จ ๐ข๐ฆ๐ฉ๐ซ๐จ๐ฏ๐ ๐๐๐ญ๐๐๐๐ฌ๐ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐?. Here are some of the top ways to improve database performance:. 1. Indexing.Create the right indexes based on query patterns to speed up data retrieval. 2. Materialized Views.Store pre-computed query results
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๐ก๐ผ ๐ณ๐ฟ๐ฒ๐ฒ ๐น๐๐ป๐ฐ๐ต ๐ถ๐ป ๐๐๐๐๐ฒ๐บ ๐ฑ๐ฒ๐๐ถ๐ด๐ป, ๐ฒ๐๐ฒ๐ฟ๐ ๐ฑ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป ๐ถ๐ ๐ฎ ๐๐ฟ๐ฎ๐ฑ๐ฒ-๐ผ๐ณ๐ณ. Architecting systems is a balancing act. You canโt optimize one dimension without impacting another. Some classic trade-offs engineers grapple with:. ๐น
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๐๐ก๐๐ญ ๐ข๐ฌ ๐๐ข๐๐ซ๐จ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ๐ฎ๐ซ๐?. Microservices architecture breaks down applications into smaller, independent services. Here's a rundown of the ๐๐ ๐ค๐๐ฒ ๐๐จ๐ฆ๐ฉ๐จ๐ง๐๐ง๐ญ๐ฌ in this architecture:. 1. ๐๐ฅ๐ข๐๐ง๐ญ.These are the end-users who
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๐ ๐๐จ๐๐ ๐๐๐ฅ๐๐ง๐๐ข๐ง๐ ๐๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ๐ฌ ๐๐จ๐ฎ ๐๐ฎ๐ฌ๐ญ ๐๐ง๐จ๐ฐ. 1. Round Robin. It assigns a request to the first server, then moves to the second, third, and so on, and after reaching the last server, it starts again at the first. 2. Least Connections. The Least
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๐ฆ๐๐๐๐ฒ๐บ ๐๐ฒ๐๐ถ๐ด๐ป ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ง๐ฒ๐บ๐ฝ๐น๐ฎ๐๐ฒ: ๐ข๐ป๐ฒ ๐ง๐ฒ๐บ๐ฝ๐น๐ฎ๐๐ฒ ๐๐ผ ๐ฅ๐๐น๐ฒ ๐ง๐ต๐ฒ๐บ ๐๐น๐น. I've used this template to discuss many #systemdesign questions. โจ ๐๐ข๐๐๐จ ๐๐๐ฌ๐ฌ๐จ๐ง: โจ . ๐๐ฃ๐ ๐๐ฎ๐๐ฒ๐๐ฎ๐.An API Gateway (AG)
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๐๐จ๐ฐ ๐ญ๐จ ๐ซ๐๐๐ฎ๐๐ ๐ญ๐ก๐ ๐ฅ๐๐ญ๐๐ง๐๐ฒ ๐ข๐ง ๐๐ง๐ฒ ๐ฌ๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ?. ๐. ๐๐๐๐ก๐ข๐ง๐ .Temporarily storing frequently accessed data in memory to reduce access time. How It Helps:.Data Retrieval: Fetching data from a cache (e.g., Redis, Memcached) is
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๐๐จ๐ฐ ๐๐ผ ๐๐ฒ๐น๐ฒ๐ฐ๐ ๐๐ฒ๐๐ถ๐ด๐ป ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป๐ฌ?. Choosing the correct design pattern in software engineering is critical to practical problem-solving. This post will try to simplify the process, helping you decide between patterns based on specific needs. To select a
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๐๐ก๐๐ญ ๐ข๐ฌ ๐๐ข๐๐ซ๐จ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ๐ฎ๐ซ๐?. Microservices architecture breaks down applications into smaller, independent services. Here's a rundown of the ๐๐ ๐ค๐๐ฒ ๐๐จ๐ฆ๐ฉ๐จ๐ง๐๐ง๐ญ๐ฌ in this architecture:. 1. ๐๐ฅ๐ข๐๐ง๐ญ.These are the end-users who
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๐๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐๐ข๐ง๐ ๐๐ข๐๐ซ๐จ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ๐ฎ๐ซ๐. Microservices architecture breaks down applications into smaller, independent services. Here's a rundown of the ๐๐ ๐ค๐๐ฒ ๐๐จ๐ฆ๐ฉ๐จ๐ง๐๐ง๐ญ๐ฌ in this architecture:. 1. ๐๐ฅ๐ข๐๐ง๐ญ.These are the
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๐๐จ๐ฉ ๐๐ฎ๐ฌ๐ญ-๐๐ง๐จ๐ฐ ๐๐ซ๐๐ฉ๐ก ๐๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ๐ฌ. โพDepth First Search (DFS): Explores as far as possible along a branch before backtracking. Practical use: Finding connected components in a graph. โพBreadth First Search (BFS): Explores all neighbors at the present
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๐๐จ๐ฐ ๐ญ๐จ ๐๐ง๐ฌ๐ฐ๐๐ซ ๐๐ง๐ฒ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐๐ฌ๐ข๐ ๐ง ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง ๐ฎ๐ฌ๐ข๐ง๐ ๐ฆ๐๐๐๐ฒ๐บ ๐๐ฒ๐๐ถ๐ด๐ป ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ง๐ฒ๐บ๐ฝ๐น๐ฎ๐๐ฒ?. Here is a master template that I used to discuss many hashtag#systemdesign problems in hashtag#interviews. 1. ๐๐จ๐๐
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๐ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐๐ฌ๐ข๐ ๐ง ๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ ๐๐จโ๐ฌ ๐๐ง๐ ๐๐จ๐งโ๐ญ๐ฌ. System design interviews are tough to crack. Iโve been in those interview rooms where your mind is racing, and youโre staring at a whiteboard trying to design a system that works flawlessly. Itโs
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๐๐จ๐ฉ ๐๐ฎ๐ฌ๐ญ-๐๐ง๐จ๐ฐ ๐๐ซ๐๐ฉ๐ก ๐๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ๐ฌ. โพDepth First Search (DFS): Explores as far as possible along a branch before backtracking. Practical use: Finding connected components in a graph. โพBreadth First Search (BFS): Explores all neighbors at the present
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๐๐จ๐ฐ ๐ญ๐จ ๐ข๐ฆ๐ฉ๐ซ๐จ๐ฏ๐ ๐๐๐ญ๐๐๐๐ฌ๐ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐?. Here are the top ways to improve database performance:. 1. Indexing.Create the right indexes based on query patterns to speed up data retrieval. 2. Materialized Views.Store pre-computed query results for quick
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๐๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐๐ข๐ง๐ ๐๐ข๐๐ซ๐จ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ๐ฎ๐ซ๐.Microservices architecture breaks down applications into smaller, independent services. Here's a rundown of the ๐๐ ๐ค๐๐ฒ ๐๐จ๐ฆ๐ฉ๐จ๐ง๐๐ง๐ญ๐ฌ in this architecture:. 1. ๐๐ฅ๐ข๐๐ง๐ญ.These are the
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๐๐จ๐ฐ ๐ญ๐จ ๐ซ๐๐๐ฎ๐๐ ๐ญ๐ก๐ ๐ฅ๐๐ญ๐๐ง๐๐ฒ ๐ข๐ง ๐๐ง๐ฒ ๐ฌ๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ?. ๐. ๐๐๐๐ก๐ข๐ง๐ .Temporarily storing frequently accessed data in memory to reduce access time. How It Helps:.Data Retrieval: Fetching data from a cache (e.g., Redis, Memcached) is
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