[Quick Recap Bytes #2] Must Know System Design Case Studies
To understand how tech works...
Hi All,
This is a quick recap post where I’ll cover all the industry system design case studies covered so far —
[System Design Tech Case Study Pulse #12] 8+ Billion Daily Views: How Facebook's Live Video Ranking Algorithm Processes Daily Views Using Storm and Memcache
[System Design Tech Case Study Pulse #18] Tinder 1.5 Billion Swipes per Day : How Tinder Real Time Matching Actually Works
[System Design Tech Case Study Pulse #17] How Discord's Real-Time Chat Scales to 200+ Million Users
[Tuesday Engineering Bytes] How Netflix handles millions of memberships efficiently?
[Friday Engineering Bytes] The Billion-Dollar Question - What's My ETA? How Uber Calculates ETA...
[Saturday Engineering Bytes] What happens Once You Press Play button on Netflix..
[Monday Engineering Bytes] FAANG level - How to Write Production Ready Code ?
[Friday Engineering Bytes] At Amazon How 310 Million Users Experience Lightning-Fast Load Times
[Tuesday Engineering Bytes] How PayPal Manages Over 400 Million Active Accounts Seamlessly?
Learn system design must know concepts pulses -
[System Design Pulse #3] THE theorem of System Design and why you MUST know it - Brewer theorem
[System Design Pulse #4] How Distributed Message Queues Work?
[System Design Pulse #5] Breaking It Down: The Magic Behind Microservices Architecture
[System Design Pulse #6] Why Availability Patterns Are So Crucial in System Design?
[System Design Pulse #7] How Consistency Patterns helps Design Robust and Efficient Systems?
[System Design Pulse #9] Why these Key Components are Crucial for System Design.
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Things you must know in System Design -
System design basics : https://bit.ly/3SuUR0Y
Horizontal and vertical scaling : https://bit.ly/3slq5xh
Load balancing and Message queues: https://bit.ly/3sp0FP4
High level design and low level design, Consistent Hashing, Monolithic and Microservices architecture : https://bit.ly/3DnEfEm
Caching, Indexing, Proxies : https://bit.ly/3SvyVDc
Networking, How Browsers work, Content Network Delivery ( CDN) : https://bit.ly/3TOHQRb
Database Sharding, CAP Theorem, Database schema Design : https://bit.ly/3CZtfLN
Concurrency, API, Components + OOP + Abstraction : https://bit.ly/3sqQrhj
Estimation and Planning, Performance : https://bit.ly/3z9dSPN
Map Reduce, Patterns and Microservices : https://bit.ly/3zcsfmv
SQL vs NoSQL and Cloud : https://bit.ly/3z8Aa49
Github for System Design Interviews with Case Studies
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Topics that are important in Data Structures and Algorithms : https://bit.ly/3EAud36
Complexity Analysis :Â https://bit.ly/3fSMChP
Backtracking :Â https://bit.ly/3TazwL3
Sliding Window :Â https://bit.ly/3ywJezP
Greedy Technique :Â https://bit.ly/3rMgb7m
Two pointer Technique :Â https://bit.ly/3yvVqRc
1- D Dynamic Programming :Â https://bit.ly/3COFU5s
Arrays :Â https://bit.ly/3MqxuEK
Linked List :Â https://bit.ly/3rIwBxI
Strings :Â https://bit.ly/3MmIH96
Stack :Â https://bit.ly/3ToikSB
Queues :Â https://bit.ly/3yHSssX
Hash Table/Hashing :Â https://bit.ly/3ew8oYm
Binary Search :Â https://bit.ly/3yK9R4l
Trees :Â https://bit.ly/3g1og5u
Heap/Priority Queue :Â https://bit.ly/3rZb9EI
Divide and Conquer Technique :Â https://bit.ly/3esYWF3
Recursion :Â https://bit.ly/3yvPbwN
Curated Question List 1 :Â https://bit.ly/3ggSDFq
Curated Question List 2 :Â https://bit.ly/3VrUqrj
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