Ken is a distributed application engineer. Ken has worked with Fortune 500 companies to small startups in the roles of developer, designer, application architect and enterprise architect. Ken's current focus is on containers, container orchestration, high scale micro-service design and continuous delivery systems.
Ken is an international speaker on the subject of software engineering speaking at conferences such as JavaOne, JavaZone, Great Indian Developer Summit (GIDS), and The Strange Loop. He is a regular speaker with NFJS where he is best known for his architecture and security hacking talks. In 2009, Ken was honored by being awarded the JavaOne Rockstar Award at JavaOne in SF, California and the JavaZone Rockstar Award at JavaZone in Oslo, Norway as the top ranked speaker.
Most teams track numbers—but few measure what truly matters. In this insightful and practical session, Ken Sipe breaks down how to align organizational goals with measurable outcomes using Objectives and Key Results (OKRs) and Key Performance Indicators (KPIs) that actually drive success.
Ken will cut through the buzzwords and frameworks to show how engineering teams, product leaders, and executives can build a measurement culture that’s both data-driven and purpose-aligned. You’ll learn how to define metrics that motivate, avoid vanity indicators, and establish traceability from daily work to strategic outcomes.
Key takeaways include:
How to craft meaningful OKRs that align technical and business goals
The difference between activity, output, and outcome metrics—and why it matters
Techniques for cascading objectives across teams without creating chaos
How to use metrics as a feedback system, not a weapon
Real-world examples of OKRs and KPIs that improved clarity, accountability, and results
Whether you’re scaling an engineering organization or trying to bring more focus to your current team, this session will help you turn measurement into momentum—and ensure that success isn’t just tracked, but achieved.
Building an AI model is the easy part—making it work reliably in production is where the real engineering begins. In this fast-paced, experience-driven session, Ken explores the architecture, patterns, and practices behind operationalizing AI at scale. Drawing from real-world lessons and enterprise implementations, Ken will demystify the complex intersection of machine learning, DevOps, and data engineering, showing how modern organizations bring AI from the lab into mission-critical systems.
Attendees will learn how to:
Design production-ready AI pipelines that are testable, observable, and maintainable
Integrate model deployment, monitoring, and feedback loops using MLOps best practices
Avoid common pitfalls in scaling, governance, and model drift management
Leverage automation to reduce friction between data science and engineering teams
Whether you’re a software architect, developer, or engineering leader, this session will give you a clear roadmap for turning AI innovation into operational excellence—with the same pragmatic, architecture-first perspective that Ken is known for.
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With over 3 million users/developers, Spring Framework is the leading “out of the box” Java framework. Spring addresses and offers simple solutions for most aspects of your Java/Java EE application development, and guides you to use industry best practices to design and implement your applications.
The release of Spring Framework 3 has ushered in many improvements and new features. Spring Recipes: A Problem-Solution Approach, Second Edition continues upon the bestselling success of the previous edition but focuses on the latest Spring 3 features for building enterprise Java applications. This book provides elementary to advanced code recipes to account for the following, found in the new Spring 3:
This book guides you step by step through topics using complete and real-world code examples. Instead of abstract descriptions on complex concepts, you will find live examples in this book. When you start a new project, you can consider copying the code and configuration files from this book, and then modifying them for your needs. This can save you a great deal of work over creating a project from scratch!
This book is for Java developers who would like to rapidly gain hands-on experience with Java/Java EE development using the Spring framework. If you are already a developer using Spring in your projects, you can also use this book as a reference—you’ll find the code examples very useful.