
Streams straight from the publisher. podnod never proxies or re-hosts episode audio.
Our guests helped create a ML pipeline that enabled image processing and automated image comparisons, enabling healthcare use cases through their series of microservices that automatically detect, manage, and process images received from OEM equipment.
In this episode they will chat through the challenges and how they overcame them, focusing specifically on the wait strategy for their ML Pipeline Healthcare Solution microservices. We’ll also touch on how improvements were made to an open source Go package as part of this project.
Changelog++ members save 1 minute on this episode because they made the ads disappear. Join today!
Sponsors:
- Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster!
Featuring:
Show Notes:
- wait-for-it - bash script version
- wait-for-it - go implementation
- Sam’s blog on experience using wait-for-it go implementation
Something missing or broken? PRs welcome!
Join the discussion
changelog.zulipchat.comChangelog++
changelog.comFastly
fastly.comfastly.com
fastly.comFly.io
fly.ioTypesense
cloud.typesense.orgLinkedIn
linkedin.comLinkedIn
linkedin.comX
x.comGitHub
github.comLinkedIn
linkedin.comX
x.comwait-for-it - bash script version
github.comwait-for-it - go implementation
github.comPRs welcome!
github.com