In 2025, discussing an AWS Multi-Account Strategy might seem trivial. However, adopting a multi-account strategy is not a given. Many businesses still lack a robust cloud foundation, often resulting in poorly architected, non-compliant, and costly environments that make security, governance, and operational management difficult.

Building a well-architected multi-account environment aligned with security and compliance best practices requires expertise, effort, and the coordination of numerous AWS services. Fortunately, AWS Control Tower simplifies this process. In less than an hour, it can establish a well-architected multi-account environment, providing a strong foundation.

Agents for Amazon Bedrock enable you to build applications that can interact with your systems and data to automatically perform tasks and trigger complex workflows. Allowing you to build powerful, secure systems that are customized for your data and use case.

In this session you’ll discover how to design and build genetic systems using AWS technologies. Including a demo and source code so that you can try it out for yourself!

Let’s go on a journey through the world of multi-tenant architectures on AWS using serverless technologies. In this talk, we will uncover the key aspects of multi-tenancy, including security, tenant isolation, and performance. We will learn how to utilise Cognito for authentication, DynamoDB to store millions of tenant-partitioned records and lambda for compute.

We will also explore different deployment models and their tradeoffs, and, finally, we will learn how to implement policy-based isolation with IAM to keep our execution context tied to one specific tenant and avoid data leakage. By the end of this talk, you will feel more confident building SaaS applications on AWS with serverless technologies and you will have learned some of the many insights that come from the AWS Well-Architected SaaS Lens.

More and more companies are adopting serverless technologies as the community is defining the best practices, tools, and patterns.

Companies using Terraform as their infrastructure as a code tool are often required to reinvent the wheel when they work with serverless.

In a world where online transactions are growing exponentially, security and scalability are essential for any e-commerce architecture. In this talk, you will discover how to design a 100% serverless solution using AWS Transit Gateway to orchestrate global networks with logical partitions that strengthen the security of your platform.

We will explore how to implement a robust architecture that combines services such as API Gateway, Lambda, DynamoDB and EventBridge, all while ensuring efficient connectivity, advanced protection and global scalability. Plus, we’ll see how to automate network configurations, audit changes and optimize performance with centralized management.

This session demonstrates how AWS services can transform traditional photography workflows through a comprehensive engineering solution. Using the AWS Community Day DACH 2024 as a case study, we’ll explore how serverless architecture and AI services efficiently processed and organized over 8,000 event photos.

The presentation will detail an integrated solution combining Amazon Rekognition, Bedrock, and Step Functions to automate photo organization and delivery. We’ll examine how cognitive services enhance image processing, while data science principles improve accuracy and efficiency. The solution showcases practical applications of AWS services that significantly reduce manual work while improving delivery speed and accuracy.

While traditional RAG excels in searching across unstructured documents, it often struggles to grasp intricate relationships between entities. GraphRAG overcomes this limitation by integrating knowledge graphs, enabling your solutions to understand and utilize these complex relationships.

In this session, we’ll explore how to supercharge Bedrock agents with GraphRAG, leveraging Amazon Neptune as the graph database alongside the Bedrock knowledge base. As part of the last re:Invent announcements, we’ll see how this approach delivers precise, contextually rich answers.

In large-scale IoT systems, where thousands of devices communicate unpredictably, serverless and event-driven architectures offer a dynamic, efficient solution. These approaches are ideal for handling the variable flow of data and control messages typical in IoT environments.

This session will explore why serverless is well-suited for IoT, particularly in data ingestion and management. We’ll examine key architectural patterns used in IoT systems, focusing on how event-driven design supports scalability and flexibility.

During this session I will show how I experimented with Amazon Q for Developers to become Web Game Developer in less than 45-60 minutes. The results of the session are unpredictable due Generative AI nature. We will try to create a fully functional game that is deployed on AWS infrastructure and available to play through the web browser.

In healthcare, approaches that evaluate Primary Care Performance metrics are needed to provide useful information on a regular basis to advise planning, management and quality improvement at both the practice and system levels.

Have you ever wondered how combining NLP techniques alongside ETL and BI tools can reach this goal? Creating a visual representation of PC performance through searchable dashboards become critical for the patient’s journey. Let me present how this project can represent a use case in leveraging the services offered by AWS that can transform standardized data collected during the patient journey into meaningful reports.

Training an AI-powered Slackbot sounds straightforward - until your model starts ignoring half of the data you feed it. At AWS User Group Vienna, we built OTTO, a Slack-integrated AI assistant, fine-tuned using the open source tool InstructLab and deployed on Amazon Bedrock.

But as we scaled up, we ran into real-world bottlenecks: training on MacBooks was slow, retrieval was inconsistent, and debugging was way harder than expected.

This talk goes beyond the ‘perfect AI stack’ and into the messy reality of model tuning, infrastructure choices, and the unexpected lessons we learned. If you’re working on AI-powered assistants (or just curious how fast things can go sideways), this talk will provide practical insights into our approach, with focus on cost efficiency, and what we learned on the way.

We’ll share our practical experience in building a production-ready system for managing EV charging networks on AWS. Our talk takes a modest, real-world approach to solving everyday challenges. We’ll walk through how we set up a secure data ingestion pipeline using AWS IoT Core, processed real-time data with Lambda and Step Functions, and managed our operational data in Amazon RDS—with a separate data warehouse built on Amazon Redshift for deeper analysis.

Enforcing rules and best practices consistently while enhancing operational efficiency, reducing risks, and controlling costs is a tricky journey, that often leads to frustration, loss of productivity, and friction between engineering teams and yours because the challenge is not purely technical.

Empathy and a customer-focused mindset are crucial, and a suite of AWS services, including AWS Security Hub, AWS Config, Service Control Policies (SCPs), and Tagging policies, can greatly assist in automating compliance checks, enforcing governance, and managing access and costs.

Scalability is one of the main challenges in modern web development. This talk delves into how to deploy and scale a Django application using AWS App Runner, a fully managed service that simplifies deployment without requiring advanced infrastructure expertise.

Through a practical approach, we will explore how to configure a Django application, securely connect it to an Amazon RDS PostgreSQL database using AWS Secrets Manager, and implement an effective separation between development and production environments. The talk will also provide guidance on enabling autoscaling to handle traffic efficiently, ensuring a seamless user experience. A step-by-step guide for developers and DevOps professionals aiming to reduce deployment complexity and focus on innovation.

I triggered storage autoscaling during maintenance, crashed my first Amazon RDS instance on Graviton due to a suboptimal configuration, and ran out of IOPS multiple times.

While attempting to autosmart the automated backups, my storage costs skyrocketed, surpassing any other expenses associated with the RDS instance.

Sometimes things fall apart, and sometimes I succeed. I doubled the DML per second by switching to io2 Block Express volumes. I experimented with various methods to optimize the storage of fragmented tables.