11:30 - 12:00 Session Block 3

AWS doesn’t have a Flux Capacitor per se, but it relies on a key concept that, without it, we wouldn’t be able to use its services at all: the network. Sometimes, I think we just grant it this and forget that it is the base, and when we give a peak to the available network services, the number of them can be overwhelming. Some of them run in the background of other trendy services like Bedrock or are the base of core ones like EC2. That’s why I want to share some lessons I wish I had known when I started working in AWS 12 years ago. Join me in this session, where we will see a use case that required a hybrid connection between AWS and our On-Premises System, the challenges we had during the setup and debugging of our environment, and check some tips while using services like Site-to-Site and Client VPN, AWS Global Accelerator, Route 53 Resolver, PrivateLink and Redshift, Glue, Lambda VPC integration, to get our environment beyond 88 MPH.

Join us for a practical focused session on how partners, resellers, system integrators and companies exploring the AWS ecosystem can unlock new value and growth opportunities by building on AWS. I will walk you through proven AWS cost optimization strategies, partner programs, and real world scenarios to deliver measurable impact to your customers, while scaling your own cloud business.

Whether you’re just getting started or looking to deepen your AWS practice, this session will provide insights into tools, best practices, and the support available from AWS and MUK to help you succeed.

You know the AWS Cloud Development Kit (CDK) lets you define infrastructure as code using programming languages like TypeScript and Python, but what if you could do much more than that? In this talk, we will see code: from CDK Constructs, Blueprints, and Aspects to fine-grained assertions. Then, we will explore the powerful combination of CDK and LocalStack, showing how simulating AWS environments locally or in CI can help you level up your infrastructure.

Embark on an interstellar journey through the lifecycle of a modern data platform! In this session, we’ll explore each evolutionary stage of a data platform, from humble beginnings to a fully-fledged, self-serve ecosystem. Drawing from real-world experience, I’ll share lessons learned—warts and all—on how and when to upgrade your platform as your organization’s data needs mature. Our voyage will chart the critical decision points: • Starting with early-stage analytics using AWS Athena, • Navigating challenges of scaling and complexity, • Upgrading with platforms like Snowflake and Redshift, • And eventually building a robust, self-service data solution that empowers your entire organization. Whether you’re just starting or seeking inspiration for your next leap, “The Hitchhiker’s Guide to the Data Platform” will offer field-tested guidance, practical AWS strategies, and a few memorable stories from the front lines. Don’t panic—grab your towel and get ready to demystify the universe of data platforms!

The emergence of microservices made us rethink how we built business applications. It led us to the migration of complex monolith applications to countless microservices. The adoption of the cloud and the suitability of container services helped revolutionize microservices.

Amidst this adoration for microservices came serverless, the next evolution of the cloud. Serverless brought deeper granularity with its technology offering. It tested our thinking, shifted our minds, and questioned the way we’ve been building microservices. The agility of event-driven computing and the granularity of serverless allow us to break traditional application development into multiple pieces.