In this episode, Renaldi Gondosubroto and Sandeep Kumar dive into the core concepts of Large Language Models (LLMs), Prompt Engineering, Vector Databases, Retrieval-Augmented Generation (RAG), and Agents. Using Amazon Bedrock's capabilities, they’ll demystify how to leverage AI in real-world scenarios. Highlighting Sandeep's internal application, Feedbackly, they will discuss how it collects sprint feedback and provides actionable insights using advanced AI techniques. Listeners will gain practical insights into integrating AI with AWS services, from sentiment analysis to career progression recommendations, making complex concepts accessible and impactful.

Are your Java cloud functions too slow? What if they could start in milliseconds instead of seconds? And use less memory to boot?

This is not a dream, but by changing the way we compile our Java functions we can significantly reduce memory usage while also drastically improving startup performance.

Java has never been a perfect fit for Function as a Service platforms such as AWS Lambda or Azure Functions. While both platforms have official support for Java, Java functions unfortunately suffer from significantly longer cold start times than many other runtimes.

In this episode we talk through a simple Spring Cloud Java function running on AWS Lambda with fairly horrible cold start times of around 6 seconds and then compare a few different approaches for significantly improving it. Eventually ending up with a cold start time of just 100 milliseconds - making Java a viable, though not without drawbacks, choice for FaaS platforms.

In this insightful episode, join me and Matt as we explore the transformative role of WebAssembly in enhancing serverless computing and generative AI workloads. We also delve into how WebAssembly is not just boosting performance but also addressing critical aspects of sustainability and security.

Discover how these technologies are reshaping the landscape of development and deployment, and gain expert insights into the future possibilities they hold. Whether you're a developer, a tech enthusiast, or just curious about the next big thing in tech, this episode is your gateway to understanding the impact and potential of WebAssembly in the modern tech ecosystem.

Matt Butcher is co-founder and CEO of Fermyon, the serverless WebAssembly in the cloud company. He is one of the original creators of Helm, Brigade, CNAB, OAM, Glide and Krustlet. He has written and co-written many books, including "Learning Helm" and "Go in Practice." He is a co-creator of the "Illustrated Children’s Guide to Kubernetes" series. These days, he works mostly on WebAssembly projects such as Spin, Fermyon Cloud and Bartholomew. He holds a Ph.D. in Philosophy. He lives in Colorado, where he drinks lots of coffee.