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Konten disediakan oleh Changelog Media. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Changelog Media atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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.

Join the discussion

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Sponsors:

  • FastlyOur 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.ioThe 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:

Something missing or broken? PRs welcome!

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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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Go Time: Golang, Software Engineering

984 subscribers

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Fetch error

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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.

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Konten disediakan oleh Changelog Media. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Changelog Media atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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.

Join the discussion

Changelog++ members save 1 minute on this episode because they made the ads disappear. Join today!

Sponsors:

  • FastlyOur 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.ioThe 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:

Something missing or broken? PRs welcome!

  continue reading

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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