This hands-on workshop will explore how to build and maintain a Java codebase using AI. I’ll share insights and experience on the best ways to work with AI when building, updating, and deploying Java applications. Whether you're an experienced developer looking to broaden your horizons or just curious about the latest in AI, this session will engage and inspire you.

Becoming a software architect is a longed-for career upgrade for many software developers. While the job title suggests a work day focused on technical decision-making, the reality is quite different. In this workshop, software architect Nathaniel Schutta constructs a real-world job description in which communication trumps coding.

Discover the skills to juggle multiple priorities, meetings, and time demands. Learn why your best team leadership tool is not a hammer but a shared coffee. Hear the best ways to give and take criticism. Understand the necessity of writing an effective email and formal architectural documents. Get tips for delivering confident career-building presentations to any audience. Review essential techniques for stakeholder management and relationship building Explore the critical needs for architecture reviews and an effective process for conducting them.

Through lectures and small group exercises, Nathaniel will help you understand what it means to be a successful architect. Working through various problems, attendees will have opportunities to think through architectural decisions and patterns, discuss the importance of non-functional requirements, and explain why architects cannot afford to practice resume-driven design.

While Python and specialized ML libraries dominate the AI/ML landscape, SQL's simplicity and power remain invaluable for developers. This session will demonstrate how SQL seamlessly integrates with Google Cloud Platform's AI/ML tools, enabling developers to leverage their existing SQL skills for efficient data handling and model building. We'll cover techniques for data exploration, feature engineering, and model training directly within BigQuery and showcase how to deploy and manage models at scale using Vertex AI's SQL interface. Hands-on examples and code demonstrations will give you practical insights into harnessing SQL's capabilities to streamline your Cloud AI/ML development process.

This hands-on workshop is designed to equip enterprise Java developers with the essential skills and knowledge needed to harness the power of artificial intelligence in their projects. Developers learn:

How to modernize and deploy Java AI-infused applications across teams using internal developer portals

Understand developer AI concepts like prompt engineering, application testing, applying RAG patterns, observing AI-infused applications, and using tools/agents

Experiment with models and applications directly on the desktop with AI-focused local development tools

Building AI applications with S/W templates and deploying to Kubernetes

Easy fine-tuning of base models using open source tools

How adaptable is your technology stack to changes in business requirements, technological advancements, and the availability of new and better tools? When you can more easily secure, upgrade, move, or modernize your code, you can adapt quickly and efficiently to changes in technology and markets. That’s what Migration Engineering is all about—and what we’ll be exploring in this workshop.

We’ll discuss and demonstrate how to create custom recipes using OpenRewrite, an open-source auto-refactoring tool that enables large-scale code analysis and transformations. You’ll learn the make-up of recipes as we walk through a number of examples, and then we’ll demonstrate how to write code search and transformation actions that are custom to your organization. We will assemble these recipes with the visitor pattern, and show how to stitch recipes together with YAML, Refaster-style templates, Semgrep matchers, etc. We’ll also show how Generative AI can be applied to accelerate recipe development.

This is a comprehensive look at all kinds of recipe development, enabling you to come away fully equipped to plan and execute large-scale code transformations in your organization.

You were tasked with building a real-time platform, but traditional tools couldn’t handle the massive data streams, leading to lagging performance and frustrated users. Deadlines were looming, and the team needed a breakthrough.

And when you learned about Apache Flink.

We’ll explore how the DataStream API allowed efficient real-time data processing and how the Table API and SQL features simplified complex queries with familiar syntax. Testing became more straightforward, and managing the application state was no longer a headache.

You’ll learn:

• Harnessing the DataStream API: Process unbounded data streams efficiently to make your applications more responsive.
• Unlocking Table API and SQL: Use SQL queries within Flink to simplify data processing tasks without learning new languages.
• Effective Testing Strategies: Implement best practices for testing Flink applications to ensure your code is robust and reliable.
• Stateful Stream Processing: Manage application state effectively for complex event processing and real-time analytics.

By the end of this talk, you’ll be equipped to tackle real-time data challenges. Whether you are building analytics dashboards, event-driven systems, or handling data streams, Apache Flink can be the game-changer you’ve been searching for.

Hi, Spring fans! In this installment, we'll examine how to build scalable systems and services using the amazing Spring Boot 3.4 release and all the umbrella projects that accompany it.

We'll look at the basics—a sort of desk check for the wayward Spring developer—to ensure that development is scalable when using Spring.

We'll look at the basics of data access and web programming with Spring. We'll look at data processing strategies, too.

We'll look at how to build modular, intelligent applications with Spring Modulith and Spring AI.

We'll look at how to build messaging and integration into our system. We'll look at how to integrate security into the system, making passwords safe and then - ideally - avoiding them altogether.

We'll also look at scaling and optimizing Spring applications.

Production is the happiest place on earth! Join me for this workshop, and we'll learn how to get there with aplomb.

This hands-on workshop will explore how to build and maintain a Java codebase using AI. I’ll share insights and experience on the best ways to work with AI when building, updating, and deploying Java applications. Whether you're an experienced developer looking to broaden your horizons or just curious about the latest in AI, this session will engage and inspire you.

Becoming a software architect is a longed-for career upgrade for many software developers. While the job title suggests a work day focused on technical decision-making, the reality is quite different. In this workshop, software architect Nathaniel Schutta constructs a real-world job description in which communication trumps coding.

Discover the skills to juggle multiple priorities, meetings, and time demands. Learn why your best team leadership tool is not a hammer but a shared coffee. Hear the best ways to give and take criticism. Understand the necessity of writing an effective email and formal architectural documents. Get tips for delivering confident career-building presentations to any audience. Review essential techniques for stakeholder management and relationship building Explore the critical needs for architecture reviews and an effective process for conducting them.

Through lectures and small group exercises, Nathaniel will help you understand what it means to be a successful architect. Working through various problems, attendees will have opportunities to think through architectural decisions and patterns, discuss the importance of non-functional requirements, and explain why architects cannot afford to practice resume-driven design.

While Python and specialized ML libraries dominate the AI/ML landscape, SQL's simplicity and power remain invaluable for developers. This session will demonstrate how SQL seamlessly integrates with Google Cloud Platform's AI/ML tools, enabling developers to leverage their existing SQL skills for efficient data handling and model building. We'll cover techniques for data exploration, feature engineering, and model training directly within BigQuery and showcase how to deploy and manage models at scale using Vertex AI's SQL interface. Hands-on examples and code demonstrations will give you practical insights into harnessing SQL's capabilities to streamline your Cloud AI/ML development process.

This workshop helps you add AI capabilities to your Java systems using the excellent LangChain4j framework. Quickly and easily add chat capabilities, image generation, vision models, text-to-speech, transcription, and more. Retrieval-Augmented Generation (RAG) will also be included, using a variety of sources, including PDF, HTML, Word docs, and URL resources. The workshop will also demonstrate how to access models added to your local machine using the Ollama system.

How adaptable is your technology stack to changes in business requirements, technological advancements, and the availability of new and better tools? When you can more easily secure, upgrade, move, or modernize your code, you can adapt quickly and efficiently to changes in technology and markets. That’s what Migration Engineering is all about—and what we’ll be exploring in this workshop.

We’ll discuss and demonstrate how to create custom recipes using OpenRewrite, an open-source auto-refactoring tool that enables large-scale code analysis and transformations. You’ll learn the make-up of recipes as we walk through a number of examples, and then we’ll demonstrate how to write code search and transformation actions that are custom to your organization. We will assemble these recipes with the visitor pattern, and show how to stitch recipes together with YAML, Refaster-style templates, Semgrep matchers, etc. We’ll also show how Generative AI can be applied to accelerate recipe development.

This is a comprehensive look at all kinds of recipe development, enabling you to come away fully equipped to plan and execute large-scale code transformations in your organization.

You were tasked with building a real-time platform, but traditional tools couldn’t handle the massive data streams, leading to lagging performance and frustrated users. Deadlines were looming, and the team needed a breakthrough.

And when you learned about Apache Flink.

We’ll explore how the DataStream API allowed efficient real-time data processing and how the Table API and SQL features simplified complex queries with familiar syntax. Testing became more straightforward, and managing the application state was no longer a headache.

You’ll learn:

• Harnessing the DataStream API: Process unbounded data streams efficiently to make your applications more responsive.
• Unlocking Table API and SQL: Use SQL queries within Flink to simplify data processing tasks without learning new languages.
• Effective Testing Strategies: Implement best practices for testing Flink applications to ensure your code is robust and reliable.
• Stateful Stream Processing: Manage application state effectively for complex event processing and real-time analytics.

By the end of this talk, you’ll be equipped to tackle real-time data challenges. Whether you are building analytics dashboards, event-driven systems, or handling data streams, Apache Flink can be the game-changer you’ve been searching for.

Hi, Spring fans! In this installment, we'll examine how to build scalable systems and services using the amazing Spring Boot 3.4 release and all the umbrella projects that accompany it.

We'll look at the basics—a sort of desk check for the wayward Spring developer—to ensure that development is scalable when using Spring.

We'll look at the basics of data access and web programming with Spring. We'll look at data processing strategies, too.

We'll look at how to build modular, intelligent applications with Spring Modulith and Spring AI.

We'll look at how to build messaging and integration into our system. We'll look at how to integrate security into the system, making passwords safe and then - ideally - avoiding them altogether.

We'll also look at scaling and optimizing Spring applications.

Production is the happiest place on earth! Join me for this workshop, and we'll learn how to get there with aplomb.