Learn how HumanGraphics is doing Serverless Java AI/ML on Lambda
Founder Andy Boothe joins Julian Wood to show how Human Graphics combines huge global datasets and uses AI to create a comprehensive profile of demographic estimates. Take an in-depth look at their architectural components and decision-making process to migrate from a server-based to serverless API. See how they increased API rate limits by 5x while reducing operational costs. Discover how they optimized their Java Lambda functions using SnapStart to reduce latency.
We are also available to answer any of your serverless questions.
Host: Julian Wood - Principal Developer Advocate, AWS Serverless: / julian_wood / julianrwood
Guests: Andy Booth - Founder, Human Graphics: / aboothe
🆕📢 What’s new in AWS Serverless? https://s12d.com/whats-new
✍️ Serverless AWS Compute blog posts: https://s12d.com/serverless-blogs
Stream links:
Human Graphics: https://www.humangraphics.io/
Docs: https://docs.humangraphics.io/
Andy's personal website: https://www.aleph0.io/
GitHub org: https://github.com/humangraphics
Backend layer: https://github.com/humangraphics/back...
Java on AWS Lambda: https://serverlessland.com/lambda/java
Java Re-platforming guide: https://serverlessland.com/content/se...
Effectively running Java on Serverless: https://serverlessland.com/content/se...
Build cloud-native Java applications on AWS Lambda workshop: https://catalog.workshops.aws/java-on...
#serverless #aws
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Chapters:
00:00 Intro
01:39 Last Week in AWS Serverless
4:02 Why serverless for AI/ML
7:25 Introducing HumanGraphics
10:23 Initial architecture
12:51 Serverless architecture
16:05 Running AI/ML on Lambda
22:07 Introducing workflows
35:10 Showing demographic estimates
39:17 The interesting info about people's names!
43:21 Walking through the steps
48:27 Hacking Java and Lambda!