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We’ll kick-off our AWS Community Day with foreword from the organizers and a our Diamond Sponsors.

TBA

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.

Let’s explore some common costly mistakes in AWS and serverless and learn actionable tips for cutting down waste and reducing your AWS bill.

Whether you’re looking to cut down on CloudWatch costs or improve cost-efficiency for your serverless application, we’ve got some helpful tips for you.

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.

Let’s take a look at how to build Serverless apps in 2025 and what tooling to use. The talk will focus predominantly on AWS environment, but we might also take a peek at rising stars among the cloud providers like for example CloudFlare. We will take a look at SST.dev framework/tool which is built on top of Pulumi and focuses on providing the best Developer Experience when building cloud-native applications.

Event-Driven Architecture sounds great in theory, but how does it work in production? In this session, I’ll show you how we implement EventBridge in the real world, using practical examples from a blogging platform.

We’ll explore key architectural decisions like the subscription pattern and how to structure your events properly. Then we’ll get hands-on with TypeScript and CDK, covering event validation with zod and middy, error handling patterns, and implementing idempotency. All examples will be based on actual production code that you can adapt for your own projects.

Are you passionate about AI security and building resilient applications? This session delves into securing language models against prompt injection threats. Explore AWS deployment strategies, NLP input validation, prompt tracing, threat modeling, and effective countermeasures. Engage with practical insights and learn in a fun way.

Prompt injection is a new and increasingly serious threat to modern language models, jeopardizing the trustworthiness and security of AI-powered applications. But how can you protect applications built on these models? How can you properly design applications using LLMs? You’ll learn what prompt injection is, why it cannot be ignored, and how AWS helps create layers to protect language models. We’ll discuss proven strategies for developing applications resistant to prompt injection and input manipulation. Focus on NLP input validation. Additional countermeasures for security in LLM. Tracing of the prompts. Threat modeling of LLM. The presentation will be in the form of a storytelling or gamification experience.

Closing ceremony of the AWS Community Day CZ 2025. We’ll wrap up the day with a few words from the organizers.