Sandra Ahlgrimm
Senior Cloud Advocate, working for Java and AI at Microsoft
Berlin, Germany
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Sandra worked at some Axel Springer Companies where she learned a lot about coding and DevOps in large companies. That knowledge helped her a lot in setting up the automated infrastructure and DevOps pipeline plus the agile momentum in the StartUp she worked afterwards. In her first year at Microsoft, she helped several companies with their container, Kubernetes, DevOps, agile processes before moving 6 years ago to the cloud advocacy team where she keeps focusing on open-source technologies and heavily in Java and AI.
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Modernizing Java Applications: Practical Strategies and Techniques
In this session, Sandra Ahlgrimm from Microsoft will discuss the practical aspects of modernizing Java applications using various tools and techniques for cloud migration. The presentation will explore different strategies, emphasizing the importance of evaluating the current system to determine the best modernization approach. Key topics will include the "7 Rs" framework—rehosting, replatforming, refactoring, rearchitecting, rebuilding, replacing, and retiring outdated systems. Due to time constraints, the session will focus on refactoring and rearchitecting. Attendees will learn that while there is no single magical tool for migration, a combination of tools and methods can significantly streamline the modernization process, traditionally a time-consuming endeavor. Tools range from traditional to AI-driven methods.
Java Meets AI: Empowering Spring Developers to Build Intelligent Apps
For over a year, we haven't stopped talking about AI.
As Spring developers, we have an ever-expanding range of tools and frameworks that make integrating AI into business applications more seamless than ever - without needing Python!
But where should you start as a Spring developer? What real-world use cases can you tackle with AI? Should you directly integrate models like OpenAI, Gemini, or Llama, or choose a framework that simplifies the implementation?
Join this session to explore the latest advancements in building intelligent Spring applications and learn about powerful frameworks such as LangChain4j, Spring AI, and Semantic Kernel, and how they compare.
Oh No, Not Another Chatbot - Java and AI for Real Business Use Cases
Join us to explore how Microsoft is advancing Java development with AI.
Sandra and Sean will showcase a real-world example using various innovative frameworks such as LangChain4j and SpringAI.
During the session they will demonstrate and code an app, and no, it’s not another chatbot. Let’s face it, a free text form is not always the best idea for user input. What is more useful and secure?
An image can be more worth than a thousand words. We’ll leverage Java on steroids with Azure OpenAI, Azure Container Apps and a clean microservice architecture, to extract all the necessary information from an image, to fill out forms automatically without any further user interaction.
Experience the flexibility and power of combining Java and AI on Azure and discover how these technologies can transform your applications. Join us to learn practical tips from experts and improve your development skills to shape the future of your applications.
Live Coding: Spring Boot Applications with Visual Studio Code
Is a large and heavyweight IDE truly necessary for developing enterprise applications with Java and Spring? In this live coding session, we demonstrate that there's another way. Utilizing Visual Studio Code and the appropriate extensions for Java and Spring, we present a lightweight and highly performant alternative. This not only provides a great environment for the development of large enterprise Spring applications, but also offers intriguing advanced possibilities to enhance development efficiency - such as the integration of fully containerized development environments. Join us in exploring a fresh perspective on Java and Spring development.
Optimize Java Apps for High Traffic Scenarios
Identifying performance issues by simulating real-world scenarios can be challenging. Learn how you can run your load tests and simulate high-scale loads on your apps, no matter where they're hosted – all without worrying about the infrastructure. In today’s digital landscape, application reliability is of utmost importance. Users expect applications to be available and responsive, regardless of the platform or device they are using. Whether gearing up for a seasonal event like Black Friday, handling tax filings, or striving to meet performance requirements during application development, ensuring uninterrupted service is crucial.
This session will explore the role of load testing in ensuring optimal performance for Java applications by using Azure Load Testing. Discover common performance issues and how Apache JMeter simplifies creating custom test scripts. Unlock valuable insights into performance metrics and identify bottlenecks to optimize your Java applications.
How to Reduce the Footprint of Your Spring Boot Applications
In this session, we'll explore diverse strategies to notably trim down the resource footprint of typical Spring Boot applications. This includes harnessing Spring AOT for standard Spring applications, compiling Spring Boot apps into native images (leveraging GraalVM), and deploying CRaC for instantaneous startup (especially beneficial for scale-to-zero scenarios). We'll conduct a side-by-side comparison of these approaches, delve into the merits and demerits of each technology, and present tangible metrics from real-world applications. Our aim is to provide the audience with insights into the substantial enhancements achievable by employing these cutting-edge technologies.
GraalVM in Action: Exploring Monitoring Metrics in a Native Environment
In this interactive session, we take a close look at GraalVM and its impressive achievements. Example applications have been benefiting from the outstanding startup times in the native environment for some time now. With the latest versions, the build time has also been significantly shortened. The question now arises: What about monitoring? Without the conventional JVM, can we still collect meaningful metrics? And what tools are available to us?
I will deploy a traditional Spring application on native terrain as an example. Additionally, a Quarkus service will be set up. These two services will interact with each other and with databases, providing a comprehensive demonstration of a microservices architecture in a native environment running on Azure Container Apps. Using open-source tools and Azure Monitoring, we will monitor the application and try to tackle this challenge without conventional JVM metrics. Let’s find out together which metrics we can extract and whether they are sufficient to get a comprehensive picture.
Sandra Ahlgrimm
Senior Cloud Advocate, working for Java and AI at Microsoft
Berlin, Germany
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