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https://github.com/barisozmen/system-design-resources


https://github.com/barisozmen/system-design-resources

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README 

        
# System Design Resources



System design of Twitter





source: https://www.infoq.com/presentations/Twitter-Timeline-Scalability



### Everything-in-it page

https://github.com/donnemartin/system-design-primer



### Interview solutions

   - How to design... 

      - Yelp: ([video](https://www.youtube.com/watch?v=tu6QKpV7GiI))

      - Twitter: ([video](https://www.youtube.com/watch?v=KmAyPUv9gOY&t=1214s)) ([video](https://www.youtube.com/watch?v=L7LtmfFYjc4))

      - Whatsapp: ([video](https://www.youtube.com/watch?v=5m0L0k8ZtEs)) ([blog](http://highscalability.com/blog/2014/2/26/the-whatsapp-architecture-facebook-bought-for-19-billion.html))

      - Uber/Lyft: ([video](https://www.youtube.com/watch?v=J3DY3Te3A_A))

      - Youtube: ([blog](https://www.geeksforgeeks.org/design-video-sharing-system-like-youtube/))

 - General:

    - Top 10 System Desing Questions ([hackernoon](https://hackernoon.com/top-10-system-design-interview-questions-for-software-engineers-8561290f0444))

    - A good [GitHub page](https://github.com/gorkemgenc/Large-Scale-Systems-Design-Explanation)



### Real-world examples (Tech Engineering pages)

Resource with many real-world system design explanations: http://highscalability.com/

 - Yelp: https://engineeringblog.yelp.com/2016/07/billions-of-messages-a-day-yelps-real-time-data-pipeline.html

 - Netflix: https://medium.com/netflix-techblog/evolution-of-the-netflix-data-pipeline-da246ca36905

 - AirBnb: https://medium.com/@airbnbeng

 - Facebook: 

    - [presto-interacting-with-petabytes-of-data-at-facebook](https://www.facebook.com/notes/facebook-engineering/presto-interacting-with-petabytes-of-data-at-facebook/10151786197628920/?s=keen-io)

    - [Paper: scaling memcached at facebook](https://cs.uwaterloo.ca/~brecht/courses/854-Emerging-2014/readings/key-value/fb-memcached-nsdi-2013.pdf)

 - Pinterest: [medium](https://medium.com/@Pinterest_Engineering/behind-the-pins-building-analytics-f7b508cdacab?s=hi-from-keen-io)

 - Twitter: 

     - [blog: handling five billion sessions a day–in real time](https://blog.twitter.com/engineering/en_us/a/2015/handling-five-billion-sessions-a-day-in-real-time.html)

     - [Twitter VP of Engineering talk: Platform infrastructure at Twitter](https://www.youtube.com/watch?v=FU7wrqsRj3o)

     - [video: Twitter timelines at scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability)

 - Uber: [engineering website](https://eng.uber.com/category/articles/architecture/)

 - Dropbox: [Video: How we've scaled dropbox](https://www.youtube.com/watch?v=PE4gwstWhmc)

 

### Step-by-step

 1. Requirements classification

 2. System interface definition

 3. Back-of-the-envelope estimation

 4. Defining data model

 5. High-level design

 6. Detailed design

 7. Identifying and resolving bottlenecks



### Very good course 

[Grokking the system design interview](https://www.educative.io/collection/5668639101419520/5649050225344512?affiliate_id=5082902844932096&utm_source=google&utm_medium=cpc&utm_campaign=platform2&utm_content=ad-1-dynamic&gclid=Cj0KCQiAzePjBRCRARIsAGkrSm6AItgy2HpLcFJO3hWDsWTQkbHufIYjtiHfoWi92AmvZRJSFMe9Ly0aAn8tEALw_wcB)



### Great book

[Distributed systems for fun and profit](http://book.mixu.net/distsys/single-page.html)



### Some terms

 - CAP Theorem ([video](https://www.youtube.com/watch?v=Jw1iFr4v58M), [blog](https://towardsdatascience.com/cap-theorem-and-distributed-database-management-systems-5c2be977950e))

    - Consistency, Availability, Partition tolerance



### Introduction to architecting systems for scale

https://lethain.com/introduction-to-architecting-systems-for-scale/

 - Load balancing

    - Smart clients

    - Hardware load balancers

    - Software load balancers

 - Caching

    - Application vs. Database caching

    - In-memory caches (e.g. [Memcached](http://memcached.org/), [Redis](https://redis.io/))

    - Content distribution networks

    - Cache invalidation

 - Off-line processing

    - Message queues

       - Tool: [RabbitMQ](http://www.rabbitmq.com/)

    - Scheduling periodic tasks

    - MapReduce

       - Tool: [Hadoop MapReduce](http://hadoop.apache.org/), [Hive](http://hive.apache.org/), [HBase](http://hbase.apache.org/)

    - Platform Layer

    

### HTTP requests 

https://www.codecademy.com/articles/http-requests

 - HTTP: Hypertext Transfer Protocol

 - TCP: Transmission Control Protocol

 - URL: Uniform Resource Locator

 - HTTP verbs:

     - GET — retrieve a specific resource (by id) or a collection of resources

     - POST — create a new resource

     - PUT — update a specific resource (by id)

     - DELETE — remove a specific resource by id

 - List of [HTTP status codes](https://en.wikipedia.org/wiki/List_of_HTTP_status_codes)

 

### What is REST 

https://www.codecademy.com/articles/what-is-rest

 - REST: REpresentational State Transfer

 

### Data engineering pipeline 

with choices of technologies for each stage

dataengpipeline