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    Algolia Stories

    stories.algolia.com · Company blog · on HN since 2016

    Engineering and company blog from Algolia, the search API provider, on infrastructure, latency, culture and developer tooling.

    Visit blogHN submissions
    Distributed SystemsStartupsSystems & Performance
    What HN says

    HN commenters call its posts good, especially those on search latency, bare metal infrastructure, scaling and building a culture around ownership.

    Stats for nerds
    15HN people shared it
    17linked in comments
    52story points
    Nov 2017last shared

    Top posts on HN

    1. 1
      Culture as a Growth Driver
      1 person · 17 points · first shared 2018 · 9 comments on HN
    2. 2
      A Search Engine in CSS
      1 person · 5 points · first shared 2022 · Discussion on HN
    3. 3
      Curing blank page syndrome: turn every engineer into a writer
      1 person · 4 points · first shared 2017 · Discussion on HN
    4. 4
      How Algolia uses Electron to improve internal productivity
      1 person · 4 points · first shared 2016 · Discussion on HN
    5. 5
      A Search Engine in CSS (2018)
      1 person · 4 points · first shared 2024 · Discussion on HN
    6. 6
      Building a Search Engine in CSS
      2 people · 3 points · first shared 2021 · Discussion on HN
    7. 7
      Using RethinkDB change feeds to make indexing Algolia a breeze
      1 person · 3 points · first shared 2016 · Discussion on HN
    8. 8
      The new paradigm: engineers as marketers
      2 people · 2 points · first shared 2017 · Discussion on HN
    9. 9
      From Paris to Silicon Valley: Speaking at React Conf 2017
      1 person · 2 points · first shared 2017 · Discussion on HN
    10. 10
      A Different Kind of Swag
      1 person · 2 points · first shared 2018 · Discussion on HN

    What HN people wrote when they linked it

    • gibrownJun 2017

      Algolia has done some terrific work on search latency (and written about it which is awesome https://stories.algolia.com/how-algolia-reduces-latency-for-21b-searches-per-month-3959dc926f0).

      I think ES can get there, but depends a lot on what hardware you deploy (SSDs!), how you build your index, and whether you can geographically distribute your search engine close to your users.

      We have one ES cluster with hundreds of queries per second that gives median 9ms response times and 99th percentile around 160ms. Another cluster with 100x more data that gets 20-25ms median response times and 99th percentile at 360ms.

      Now both of these are just the ES response time, there is additional overhead in responding to an API request and then you also start to get into where your data centers are located relative to the end users.

      More (slightly out of date) background on our config: https://data.blog/2016/05/03/state-of-wordpress-com-elasticsearch-systems-2016/

    • manigandhamNov 2017

      .com/net/org are also faster, especially internationally, because of more infrastructure. Algolia found the same during their testing [1].

      Use the main TLDs for serving traffic and .io/* for corporate/marketing sites or webapps if the occasional outage isn't a major problem.

      1. https://stories.algolia.com/algolia-s-fury-road-to-a-worldwide-api-c1536c46f3a5

    • faizshahApr 2017

      Would be interesting to see the story of how you guys started from square one and built out your bare metal infrastructure.

      Really love the docsearch project btw, great UX.

      EDIT: Just found this blog post right after posting this comment https://stories.algolia.com/algolia-s-fury-road-to-a-worldwide-api-c1536c46f3a5

    • jakozaurJun 2017

      Congratulations!

      Algolia wrote some good blog posts, for example:

      https://stories.algolia.com/how-the-founders-of-algolia-think-about-scale-and-how-you-can-too-291a937d119e

      https://stories.algolia.com/how-algolia-built-a-culture-first-company-around-ownership-eee6623b1b6

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