System Design – Détails, épisodes et analyse

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System Design

Wes and Kevin

Technologie

Fréquence : 1 épisode/33j. Total Éps: 6

Software Engineers Wes Moncrief and Kevin Li discuss aspects of the system design interview, as well as related topics in designing large and interesting software architectures. If you're new here, I'd suggest starting with the episode "Facebook Timeline Interview". I'll also note that our first few episodes had lower quality audio than our subsequent episodes.We'd love to hear any listener feedback - email us at thesystemdesignpodcast@gmail.com

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🇺🇸 États-Unis - technology
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Liens partagés entre épisodes et podcasts

Liens présents dans les descriptions d'épisodes et autres podcasts les utilisant également.

https://netflixtechblog.com/
2 partages
http://highscalability.com/all-time-favorites/
2 partages
https://www.rabbitmq.com/tutorials/tutorial-one-python.html
2 partages

https://github.com/donnemartin/system-design-primer
2 partages
https://github.com/donnemartin/system-design-primer#cache
1 partage

https://medium.com/datadriveninvestor/all-things-caching-use-cases-benefits-strategies-choosing-a-caching-technology-exploring-fa6c1f2e93aa
1 partage

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Score global : 38%

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Liste des épisodes récents, avec titres, durées et descriptions.

Dropbox Interview

dimanche 28 février 2021 • Durée 32:40

Kevin asks Wes to design Dropbox, with an emphasis on designing the data model and storage techniques to scale out.

Helpful links:
https://www.geeksforgeeks.org/design-dropbox-a-system-design-interview-question/

https://www.youtube.com/watch?v=PE4gwstWhmc

https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API

https://www.ibm.com/cloud/learn/object-storage

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Distributed Caches

dimanche 14 février 2021 • Durée 26:05

As Kevin prepares to start a new job at Instacart, he explains some ideas around how a company like Instacart could employ caching to improve the scalability of their services.

Show notes:

https://medium.com/datadriveninvestor/all-things-caching-use-cases-benefits-strategies-choosing-a-caching-technology-exploring-fa6c1f2e93aa

https://ieftimov.com/post/when-why-least-frequently-used-cache-implementation-golang/

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

https://memcached.org/

https://redis.io/

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Message Queues

dimanche 6 décembre 2020 • Durée 31:07

Wes and Kevin talk about message queues, the problems they solve, and how they work.

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

http://highscalability.com/all-time-favorites/

https://netflixtechblog.com/

https://www.rabbitmq.com/tutorials/tutorial-one-python.html

P.S., Wes learned how to edit podcasts better thanks to this guide - https://podigy.co/podcast-editing-guide/, hopefully this podcast has the best audio quality yet!

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SQL vs noSQL Databases

Épisode 3

samedi 17 octobre 2020 • Durée 30:14

Breaking away from the interview format, Wes and Kevin deep dive into SQL vs noSQL databases.

Show notes:

ACID compliance - https://mariadb.com/resources/blog/acid-compliance-what-it-means-and-why-you-should-care

CAP theorem
https://www.ibm.com/cloud/learn/cap-theorem
https://mwhittaker.github.io/blog/an_illustrated_proof_of_the_cap_theorem
Cool article explaining the problem with saying you can have 2 out of 3 properties of CAP
http://martin.kleppmann.com/2015/05/11/please-stop-calling-databases-cp-or-ap.html

MongoDB - https://docs.mongodb.com/manual/introduction/

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Facebook Timeline Interview

Épisode 2

mercredi 16 septembre 2020 • Durée 34:24

Wes asks Kevin to design the Facebook/Twitter Timeline with an emphasis on scaling to a large number of users.

I'd encourage you to pause where relevant to try to think through these designs yourself - it really helps the content sink in.

Helpful Links

RabbitMQ quick start documentation - https://www.rabbitmq.com/getstarted.html

Apache Kafka introductinon - https://kafka.apache.org/intro

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Google Docs Interview

Épisode 1

mardi 15 septembre 2020 • Durée 43:47

In our first episode, Kevin gives Wes a mock interview on how to design google docs.

Helpful links

The git storage technique we referenced is described in detail here - https://hypirion.com/musings/understanding-persistent-vector-pt-1 (Note that this is not git, but the same technique applies)

Website with algorithm for merge conflict resolution - https://operational-transformation.github.io/

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