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Manage episode 365974568 series 1024148
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!
Chapter
1. It's Go Time! (00:00:00)
2. Introducing the guests (00:00:44)
3. The problem that needed solving (00:05:38)
4. Why Go? (00:07:57)
5. The Go implementation (00:11:17)
6. How to know it's the right fit (00:14:08)
7. Getting it ready to be used (00:19:53)
8. The core takeaways (00:25:02)
9. Other challenges (00:28:47)
10. The learning curve of Go (00:34:34)
11. Would you choose Go again? (00:36:57)
12. Iterating, going forward (00:38:01)
13. Unpopular Opinions! (00:41:49)
14. Samantha's unpop (00:42:13)
15. Neethu's unpop (00:44:32)
16. Outro (00:46:10)
348 episode
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on May 12, 2025 15:45 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 365974568 series 1024148
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!
Chapter
1. It's Go Time! (00:00:00)
2. Introducing the guests (00:00:44)
3. The problem that needed solving (00:05:38)
4. Why Go? (00:07:57)
5. The Go implementation (00:11:17)
6. How to know it's the right fit (00:14:08)
7. Getting it ready to be used (00:19:53)
8. The core takeaways (00:25:02)
9. Other challenges (00:28:47)
10. The learning curve of Go (00:34:34)
11. Would you choose Go again? (00:36:57)
12. Iterating, going forward (00:38:01)
13. Unpopular Opinions! (00:41:49)
14. Samantha's unpop (00:42:13)
15. Neethu's unpop (00:44:32)
16. Outro (00:46:10)
348 episode
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