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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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本播客中的其他单集
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 t...
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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-careCAP theorem https://www.ibm.com/cloud/learn/cap-theoremhttps://mwhittaker.github.io/blo...
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 LinksRabbitMQ quick start documentation - https...
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