System Design: Which of the following presents the biggest scalability challenge?

Chase / Engghosted!
Nov 23, 2018 11 Comments

What do you think?

256 VOTESSELECT ONLY ONE ANSWER
VOTEVIEW RESULT

comments

Want to comment? LOG IN or SIGN UP
TOP 11 Comments
  • Uber you too
    Alibabas is the hardest because they have to fake all those purchases and then a few months later they have to refund them all.
    Nov 23, 20180
  • Google / EngblKU37
    Having worked at Google and Amazon. Amount of technical infrastructure it takes to run G > amazon. In amazon, architecture is very simple, webservers, database, big cache. Because each transaction is independent so sharding is relatively easy.

    In G, everyday traffic is so huge that we have 3-4 levels of load balancers just to manage load. If anyone is interested I would suggest to read about GSLB which is datacenter level global load balancer.
    Nov 23, 20185
    • Chase / Engghosted!
      OP
      I would argue that on the other hand, Amazon has real money transactions , which means it has much higher challenge in terms of HA and consistency. A Google query or Gmail message or YouTube not loading or loading inconsistently is not a big deal, but an Amazon purchase not being added to cart or inventory not updating for all nodes is a much bigger problem
      Nov 23, 2018
    • Google / EngblKU37
      Correct. IMO, it can be solved by using relational database to guarantee consistency. They probably have sharded relational database. Sharding + Replication/Standbys can solve most of scalability issues.
      Nov 23, 2018
    • Amazon thealpha
      Look dude, your design based on “grokking the system design interview” ain’t work :)
      Nov 23, 2018
    • Amazon RBOo88
      There's a very different set of challenges once you interface with the physical world. Not saying easier or harder, but very different. A search returning 500 is inconvenient. A single middle mile logistics error puts thousands of physical boxes in the wrong place and they need to be recovered after the error is fixed.
      Nov 24, 2018
    • Amazon bxuu70
      Relational database. Do you code in 2018 for any high frequency transaction?
      Nov 24, 2018
  • Uber
    Nov 23, 20180
  • Amazon im42
    On Alibaba/Amazon v/s Google, I think it is easier to scale for a few days (worst case: throw hardware at it, have SDEs working overtime, etc) v/s scaling for everyday. So Google's everyday scaling challenge seems harder.
    Nov 23, 20181
    • Google / EngblKU37
      very aptly said.
      Nov 23, 2018
  • Amazon thealpha
    hahahaha... sharded relational databases for amazon scale :P Which database? Oracle?

    also, how about scaling warehouse traffic? like shipping 400 physical items per second (stats from half a decade past).. it’s super complex pipeline involving space optimization/robotics/scheduling and so on... not just splitting traffic through multi-level loadbalancers to pre-computed indexes.

    also, how about aws services which serves other aws services plus other large interne companies like Netflix?
    Nov 23, 20180

Join verified employees in our anonymous social network!Download the app!

close