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Dan Keeley
Principal Data EngineerReburaEvent Date: 11/03/2026Topics: AI, CICD, Cost Optimisation, Data, S3Predictable Designs in Data Engineering on AWS
What if we treated data engineering systems the way world-class hardware teams treat products headed for mass production?
John Teel (Texas Instruments) has spent years taking complex hardware from prototype to dependable, high-quality production at scale. In this talk, Dan borrows those “production-grade” principles – predictability, repeatability, and ruthless attention to failure modes, and translates them into practical patterns for building data platforms on AWS.
This is less about any single AWS service and more about building data systems that behave consistently, even as requirements, volumes, and teams change.
What you’ll learn:
Attendees will leave with practical, reusable approaches they can apply immediately:
- How to make systems maintainable
- How to keep costs efficient without heroics
- How to borrow best practices across engineering disciplines
About the Speaker
Dan is a community driven data engineer and now c-level team builder working with a wide range of Data technologies in the cloud. He is on the steering group for the biggest tech conference in London – BigDataLDN. He has won a number of awards, including being named in the top 50 data leaders and influencers in the UK.
When Things go Wrong: Managing Cost in the Cloud
There are lots of sessions that talk about the theory of cost management and tooling available on AWS, but far less look at the real world challenges of using them in production, as well as the rough edges they have – not to mention what happens when things go wrong!
In this session Matt will cover some of the hard lessons learned from working with AWS over the last 14 years, with a real-world example of how a simple mistake can cause problems, and how to avoid them in future.
The presentation is aimed at both those new to AWS and to veterans of the platform, and also includes practical guidance on how to improve your cost management on AWS.
About the Speaker
Matt has been using AWS since 2011, including 8.5 years at AWS in the public sector tech org. He has presented at 6 separate re:Invents and dozens of other events, covering a wide range of topics. Now as CEO of Rayo, Matt continues to help customers deliver mission outcomes using cloud technology.
AI as Your New SRE: The Next Frontier of DevOps
In the early days of DevOps, automation was the revolution. Today, AI is bringing the second wave – not just automating tasks, but reasoning, predicting, and autonomously managing complex systems like a tireless Site Reliability Engineer.
In this talk, we’ll explore how AI will reshape the DevOps lifecycle: from intelligent CI/CD pipelines and automated incident response to self‑healing infrastructure and generative configuration management.
You’ll see live demos of AI detecting, diagnosing, and fixing infrastructure issues in real time, and we’ll discuss the risks – over‑reliance on AI, governance challenges, and the need for explainability – plus the steps teams can take today to prepare for an AI‑augmented future.
Jon Topper
FounderThe Scale FactoryEvent Date: 14/01/2026Topics: EC2, GuardDuty, Integrations, S3, Security, ServerlessAWS re:Invent 2025 Recap & Discussion.
re:Invent is always packed with announcements, deep dives, and more sessions than any one person can keep up with. This event is your chance to cut through the noise and get a recap from our very own community organiser – Jon Topper.
What to expect
- The announcements and topics he found most interesting
- The things that didn’t live up to the hype
- Real-world thoughts on what’s useful now vs. “maybe later”
- How some of the new services/features might affect the way we build on AWS
How to Put Amazon Q or Any Agentic Coding on Steroids with MCPs
Amazon Q is powerful out of the box, but in the terminal it becomes a superpower. In this talk, I share how I turned Amazon Q CLI into a fully-fledged, verification‑first AI platform using the Model Context Protocol (MCP) all without adding $0 extra cost.
I’ll walk through how I built 49 MCP servers to remove hallucinations, browser automation with Playwright, and live AWS verification that eliminates hallucinations in practice.
You’ll see Financial Services Institution grade guardrails (production protection, cost controls, and full audit trails) that makes Q feel native to a builder’s workflow, secure and reliable. You’ll leave with a blueprint to extend Amazon Q/ any agentic coding beyond chat into a trusted, terminal‑first, agentic platform you own and can evolve infinitely.
I’ll walk through how I built 49 MCP servers to remove hallucinations, browser automation with Playwright, and live AWS verification that eliminates hallucinations in practice.
You’ll see Financial Services Institution grade guardrails (production protection, cost controls, and full audit trails) that makes Q feel native to a builder’s workflow, secure and reliable. You’ll leave with a blueprint to extend Amazon Q/ any agentic coding beyond chat into a trusted, terminal‑first, agentic platform you own and can evolve infinitely.
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