Room 3

Sessions

KEY03

Gunnar Grosch - Topics TBA

Room: Room 3 | Time: 09:00 | Duration: 90

Gunnar Grosch

Principal Developer Advocate at Amazon Web Services

ACD204

Modern Logging on AWS: Real-World Strategies for Developer Efficiency (Talks and quizzes session)

Room: Room 3 | Time: 11:00 | Duration: 30

Logging often gets ignored—until something breaks. But it can be a powerful tool for debugging, improving visibility, and keeping costs in check. In this session, we’ll explore how to build and manage logging systems on AWS using services like Amazon CloudWatch, Amazon OpenSearch, and Grafana. You’ll see practical examples, compare different approaches, and walk away with a clear understanding of how to create a logging design that’s fast, scalable, so you can catch issues earlier and solve them faster.

Nova Lailatul Rizkiyah

AWS Community Builder

ACD211

The human side of coding

Room: Room 3 | Time: 13:00 | Duration: 60

Our tech stacks are exploding in complexity, even with AWS doing a great job at giving us building blocks at higher levels of abstraction. How do we tackle that complexity? Do we take the usual route and solve it by adding more tech or AI? Or is there another route? Yes there is! Even in the 80’s, people realized that the theory of a system can’t be transferred through code and documentation alone.

Nico Krijnen

Cloud Solution Architect

ACD209

Navigating AWS Service Quotas and Limits: Lessons Learned from Booking.com's Challenges

Room: Room 3 | Time: 15:00 | Duration: 30

In this talk, we’ll explore an issue Booking.com encountered due to AWS limits and quotas. This unexpected problem affected multiple pipelines, leading to significant delays. We’ll discuss how we discovered the issue, why it surprised us despite our awareness of API limits, and the solutions we considered. Spoiler alert: what role does Terraform play in all of this?

Vladimir Romashov

Software Engineer @ Booking.com

ACD208

Real-time Pattern Detection and Event Processing: Bridging Apache Flink with Serverless on AWS

Room: Room 3 | Time: 16:30 | Duration: 30

In today’s data-driven world, organizations need to process and react to streaming data in real-time while maintaining cost-effectiveness and scalability. This talk demonstrates how to leverage Apache Flink’s powerful stream processing capabilities alongside AWS serverless technologies to build a robust, scalable, and cost-efficient event processing pipeline. In this talk, I will delve into what CEP (Complex Event Processing) is and how a CEP layer such as Apache Flink works internally at a high level.

Mohammed Izzy

Principal Developer