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Wow. But I want to give them a fair opportunity to justify this statement. Can someone give me examples of diseases being cured via docker, or planes being kep

Wow. But I want to give them a fair opportunity to justify this statement. Can someone give me examples of diseases being cured via docker, or planes being kept in the air (etc)

meddlepal 9y ago
Marketing Spin! Somewhere there is probably a system that touches some aspect of those things that use Docker.
- ben_jones 9y ago
  Our employee bought a plane ticket! Literally keeping airlines in business.
  - shardinator 9y ago
    Not sure why you're getting downvoted. Seems you're just doing a little 'reductio ad absurdum'. Sigh ...
    - ben_jones 9y ago
      Honestly it was a low effort comment that didn't add to the discussion I don't mind. It we pre morning-coffee.
      - ajacksified 9y ago
        Pre-coffee commenting, the drunk-texting of Hacker News.
        praneshp 9y ago
        It comes across more like drunk driving to me. Making a mistake, then blaming it on the drink (or lack of coffee here).
        shardinator 9y ago
        What's really funny. I was kind of drunk when I wrote that comment. Re-read it thinking, "that sounds familiar". G'night everyone.
tyingq 9y ago
"planes being kept in the air" I assume they mean "minimize time stuck on the tarmac" vs "literally flight critical", but I doubt even that. The former would imply that something like dispatch functions are in production running on docker. I suppose that's possible, but it's not an area that lends itself to tech that's not very solidly proven for the space.
monatron 9y ago
Reproducibility is a big problem in analytic pipelines, specifically genomics. Researchers tend tweak their tools here and there and it has always been quite difficult to "package" a pipeline. Docker makes that much easier. We've seen a huge movement in the containerization of genomics pipelines, the results of which (we hope) help cure serious disease. In my world, we're using Docker every day to try and find cures for pediatric brain cancer. It's obviously not our only tool, but it helps.
- ilovecaching 9y ago
  Neural networks that construct ontologies from gene similarity matrices for discovering cancer pathways are tools that help cure cancer. There are a myriad of technologies supporting these type of applications; Torch, Python, Tensorflow... Docker is a minor detail that has as much to do with curing cancer as JSON or HTTP. When you make a claim like the one Docker is making, you should be a critical piece of the pipeline that actively contributes towards the end goal, not a piece of infrastructure. As a scientist, I find it disgusting that they're using cancer research as their buzz word for stability and importance.
  - tonyhb 9y ago
    > Reproducibility is a big problem in analytic pipelines, specifically genomics... [Docker solves this problem]. There is a legitimate fundamental issue with reproducing people's setups and Docker solves this. Ergo docker is valuable technology for data science. Literally typing `docker run...` to reproduce results (vs. VM setup, installation etc.) seems important enough to justify their phrasing. Fact: there are handfuls of data science startups that essentially rebrand docker and have been funded in the hundreds of millions of dollars specifically to solve this problem.
- mohaine 9y ago
  Not in genomics but the same in true in spatial pipelines. Trying to get a machine setup with the correct set of libraries and packages across various languages is almost impossible on dev box much less on a prod cluster. Docker makes this easy to do once locally, validate the build and then use the same container to do the production runs.

Wow. But I want to give them a fair opportunity to justify this statement. Can someone give me examples of diseases being cured via docker, or planes being kept in the air (etc)

meddlepal 9y ago

Marketing Spin! Somewhere there is probably a system that touches some aspect of those things that use Docker.

ben_jones 9y ago
Our employee bought a plane ticket! Literally keeping airlines in business.
- shardinator 9y ago
  Not sure why you're getting downvoted. Seems you're just doing a little 'reductio ad absurdum'. Sigh ...
  - ben_jones 9y ago
    Honestly it was a low effort comment that didn't add to the discussion I don't mind. It we pre morning-coffee.
    - ajacksified 9y ago
      Pre-coffee commenting, the drunk-texting of Hacker News.
      - praneshp 9y ago
        It comes across more like drunk driving to me. Making a mistake, then blaming it on the drink (or lack of coffee here).
      - shardinator 9y ago
        What's really funny. I was kind of drunk when I wrote that comment. Re-read it thinking, "that sounds familiar". G'night everyone.

tyingq 9y ago

"planes being kept in the air" I assume they mean "minimize time stuck on the tarmac" vs "literally flight critical", but I doubt even that. The former would imply that something like dispatch functions are in production running on docker. I suppose that's possible, but it's not an area that lends itself to tech that's not very solidly proven for the space.

monatron 9y ago

Reproducibility is a big problem in analytic pipelines, specifically genomics. Researchers tend tweak their tools here and there and it has always been quite difficult to "package" a pipeline. Docker makes that much easier. We've seen a huge movement in the containerization of genomics pipelines, the results of which (we hope) help cure serious disease. In my world, we're using Docker every day to try and find cures for pediatric brain cancer. It's obviously not our only tool, but it helps.

ilovecaching 9y ago
Neural networks that construct ontologies from gene similarity matrices for discovering cancer pathways are tools that help cure cancer. There are a myriad of technologies supporting these type of applications; Torch, Python, Tensorflow... Docker is a minor detail that has as much to do with curing cancer as JSON or HTTP. When you make a claim like the one Docker is making, you should be a critical piece of the pipeline that actively contributes towards the end goal, not a piece of infrastructure. As a scientist, I find it disgusting that they're using cancer research as their buzz word for stability and importance.
- tonyhb 9y ago
  > Reproducibility is a big problem in analytic pipelines, specifically genomics... [Docker solves this problem]. There is a legitimate fundamental issue with reproducing people's setups and Docker solves this. Ergo docker is valuable technology for data science. Literally typing `docker run...` to reproduce results (vs. VM setup, installation etc.) seems important enough to justify their phrasing. Fact: there are handfuls of data science startups that essentially rebrand docker and have been funded in the hundreds of millions of dollars specifically to solve this problem.
mohaine 9y ago
Not in genomics but the same in true in spatial pipelines. Trying to get a machine setup with the correct set of libraries and packages across various languages is almost impossible on dev box much less on a prod cluster. Docker makes this easy to do once locally, validate the build and then use the same container to do the production runs.