System Design Interview Question: Spotify System Design |

  Рет қаралды 464

sandeep dev

sandeep dev

Ай бұрын

This is a system design interview question, which is to design Spotify.
In a real interview, usually, you would focus on one or two main functionalities of the app.
Still, in this video, I would like to do a high-level overview of how you would design such a system, and then you can dive deeper into each separate part if needed.
#systemdesign
#spotifysystemdesign
#spotify
#engineering
#softwareengineer
#developer
#meta
#amazon

Пікірлер: 6
@ProgrammingWithSatyamP
@ProgrammingWithSatyamP 18 күн бұрын
Continue brother✨
@arupde6320
@arupde6320 Ай бұрын
be regular
@user-yx8lk9jc1j
@user-yx8lk9jc1j 14 күн бұрын
make more system designs ..... both LLD and HLD but first make same sptify LLD because HLD knows well in this video
@sandeepdev0
@sandeepdev0 14 күн бұрын
Noted✅
@sunnykumar9988
@sunnykumar9988 10 күн бұрын
Kya system design depends krta h kya hm kis backend tech k liye interview de rhe h like node or java Ya jo core concept rahta h wo same hi rhta h . Like jo aap is video me bataye hmlog kisi v design pattern k interview me bata sakte h na aise hi
@sandeepdev0
@sandeepdev0 9 күн бұрын
System design ke core concepts generally same hi rahte hain, chahe aap kis bhi backend technology (Node.js, Java, etc.) ke liye interview de rahe ho. System design interviews mein kuch key concepts aur topics hote hain jo har technology ke liye relevant hote hain, jaise: - Scalability: System ko kaise horizontally ya vertically scale karenge. - Load Balancing: Load balancer kaise set up karenge taaki traffic evenly distribute ho. - Caching: Caching strategies jaise Redis ya Memcached use karke system ki performance kaise improve kar sakte hain. - Database Design: Relational aur NoSQL databases ka selection aur design. - Microservices: Microservices architecture ka use kaise karenge aur services ko kaise communicate karenge. - Data Partitioning and Sharding: Large datasets ko partition ya shard kaise karenge. - Consistency, Availability, and Partition Tolerance (CAP Theorem): CAP theorem ke principles ko kaise implement karenge. - Security: Authentication, authorization, data encryption, aur other security measures kaise implement karenge. - Monitoring and Logging: System monitoring aur logging kaise set up karenge. Haan, specific technologies ko use karne ka tareeka aur implementation details different ho sakti hain, lekin core principles generally consistent rahte hain. For example, caching ka concept same hoga chahe aap Node.js use kar rahe hain ya Java, lekin implementation details vary kar sakti hain. Isliye, system design ki core concepts pe focus karna zaroori hai, aur fir aapke specific backend technology ke tools aur libraries ko samajhna bhi faydemand hoga.
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