Using AI to Deploy Java apps to Kubernetes AND An introduction to LangChain4J

The event will be both in-person and virtual (livestream). If you choose to join online, follow this link: https://aka.ms/SEAJUGS-22024

Using AI to Deploy Java apps to Kubernetes
Developer teams are constantly under pressure to deliver new features and functionality without impacting core applications, often using new and unfamiliar features and environments. In this session we’ll show how to use AI to automate deployments to Kubernetes reliably and securely using GitHub actions. Highlights will include using AI to create Kubernetes deployment manifests and GitHub actions, AB Testing, blue-green deployments, and GitHub repo features for Dev/Test environments, plus practical container orchestration for Kubernetes in production.

An introduction to LangChain4J
What is it? Where is it coming from? In this brief session, we’ll take a look at the brief history of LangChain4J, explain where the rise of interest is coming from, and explore some use cases through examples. After the session, we’ll have some time to discuss its relevance and potential.