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sgrif's profile
Miss Dada 🏳️‍⚧️
Miss Dada 🏳️‍⚧️
Miss Dada  🏳️‍⚧️
@sgrif

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Miss Dada  🏳️‍⚧️

@sgrif

Co lead of the http://crates.io  team. Creator of @dieselframework. Former host of @_bikeshed and @_yakshave. Former Rails comitter. Enby. they/them

Albuquerque, NM
patreon.com/seantheprogram…
Joined November 2008

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    1. Miss Dada  🏳️‍⚧️‏ @sgrif Feb 18
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      Past, very naive me: "Most of the time, energy, and storage space in a package registry will be spent on data relevant to serving packages" Me:pic.twitter.com/GVeX9oAjwj

      2 replies 3 retweets 12 likes
      Show this thread
    2. Miss Dada  🏳️‍⚧️‏ @sgrif Feb 18
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      Saving you some math, our database is 3.6GB in total. Roughly 85% of that is counting downloads

      1 reply 2 retweets 10 likes
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    3. danielle‏ @endocrimes Feb 18
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      Replying to @sgrif

      CocoaPods had close to 3tb of download data before I had to shut that down bc $$$$

      1 reply 0 retweets 2 likes
    4. Miss Dada  🏳️‍⚧️‏ @sgrif Feb 18
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      Replying to @endocrimes

      Yeah, we figure we'll eventually either squash old data, or just upload a backup of the table to S3 and then delete old partitions. Our web UI only ever accesses the last 90 days. Our API supports arbitrary dates (with a max range of 90 days at a time), but I have no stats on use

      1 reply 0 retweets 0 likes
    5. Miss Dada  🏳️‍⚧️‏ @sgrif Feb 18
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      Replying to @sgrif @endocrimes

      In the short term, our DB is 3.6GB, our max is 64GB, and we're not growing at any alarming rate. We'll end up upgrading to a tier that has 256GB storage to increase our connection limit before we hit storage limits I think

      1 reply 0 retweets 0 likes
    6. Miss Dada  🏳️‍⚧️‏ @sgrif Feb 18
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      Replying to @sgrif @endocrimes

      We very much are discussing this, because we definitely will eventually hit storage limits, and it makes no sense to increase our DB bill to keep rarely/never accessed historical download stats in the primary DB. But for the time being we're just ridiculously far off from that.

      2 replies 0 retweets 0 likes
    7. danielle‏ @endocrimes Feb 18
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      Replying to @sgrif

      Yeah our biggest problem was mostly bad indexing and data structures, plus generating aggregates from all raw data bc calculating "unique" installation targets for apps. We could probably have cut it but didn't have the time (we ran out of sponsor $ and it was billing me)

      1 reply 0 retweets 0 likes
      Miss Dada  🏳️‍⚧️‏ @sgrif Feb 18
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      Replying to @endocrimes

      Makes complete sense. 100% get the "we ran out of sponsor $ and it was billing me" part XD

      2:43 PM - 18 Feb 2020
      0 replies 0 retweets 0 likes

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