The Ultimate One-Day Java Workshop: Deploying AI-Enhanced Applications with Security and High-Performance on Kubernetes and Serverless Platforms
Introduction: Welcome to a comprehensive workshop designed for those eager to master the intricacies of deploying Java applications in cloud environments. As the software development landscape continues to evolve rapidly, the dual needs to integrate Artificial Intelligence (AI) and deliver efficient, secure, and scalable deployment strategies become increasingly critical. This workshop aims to bridge the gap between traditional Java application deployment and modern cloud-based solutions, offering participants a deep dive into the latest technologies, methodologies, and best practices, including the exciting realm of AI.
Objective: Our goal is to equip you with the knowledge and skills necessary to start navigating the complexities of Java deployment to cloud platforms in a safe, secure, and innovative way. Whether you're looking to deploy Java applications using traditional JAR files, explore the potential of containerization, venture into serverless architectures, or integrate AI to enhance application capabilities, this workshop will provide you with a solid foundation and practical insights to enhance your deployment strategies. Special emphasis will be placed on not only mastering deployment techniques but also on how to incorporate AI into your Java applications and deliver these advanced solutions in a safe manner.
Environment: All code and development will take place online using Google’s platform
PreReqs:
Attendees should have some familiarity with the Java programming language.
Attendees should bring a laptop with wifi capabilities.
Agenda
Part 1: Introduction and Overview
Setting the stage for an in-depth exploration of Java deployment in cloud environments. We'll provide an overview of the workshop's structure, aiming to equip attendees with a solid understanding of the deployment lifecycle, from packaging to deployment, with a focus on Java applications. The facilitators will introduce themselves, offering insights into their expertise and what attendees can expect to learn, particularly about secure deployment options like JAR, CRaC, native compilation, and containerization.
Part 2: Java Packaging and Deployment Options
This segment delves into the technicalities of Java packaging and deployment, offering a comparative analysis of deployment strategies such as JAR deployment, Checkpoint/Restore in Application Continuity (CRaC), and native compilation. We'll explore containerization including using application frameworks for MicroProfile. With hands-on practical demonstrations using Google Cloud, the attendees will be able to use Google’s online development environments to explore the various deployment workflows from JAR to cloud, JAR to container to cloud, and native compilation to serverless architectures.
Part 3: Ensuring Security in Java Deployment
This critical section addresses the paramount importance of a secure software supply chain in Java deployment. We begin with an introduction to essential tools like Software Bill of Materials (SBOMs) and dependency scanning, moving on to a detailed discussion on mitigating cyber threats and adopting secure software development practices. We’ll look at commercial options (with a demonstration of Sonatype Nexus and Lifecycle) review relevant open source tools and discuss the various pros-and-cons of each.
Lunch
Part 4: Extended Architectural Decisions
Post-lunch, the conversation shifts to architectural decisions, contrasting Kubernetes with serverless architectures in terms of cost, scalability, operational management, and security. This part aims to provide a comprehensive understanding of choosing the right architecture for Java applications in the cloud.
Part 5: AI in Development and Deployment
The final part of our workshop explores the revolutionary role of AI in development and deployment processes. With examples using HuggingFace, PaLM and GEMINI the attendees will use LangChain4J in a hands-on session to integrate Google’s AI APIs into Java applications. We'll also examine the security implications of AI, including supply chain concerns and legislative impacts, followed by a series of short discussions on the elements of building secure and efficient deployment pipelines.
Closing
The workshop concludes with a recap of key learnings, emphasizing the importance of automation, security in the supply chain, and the variety of deployment options available. An open Q&A session offers participants the opportunity to clarify doubts and engage directly with the experts.