London Microservices Meetup - Q3 2025

~~~ Agenda ~~~~
18:00 Venue opens
Drinks, pizza, and networking.
18:45 First speaker
19:15 Second Speaker
Q&A and networking until close at 20:30

Talks

1st Speaker - Sarah Wells - Sarah Wells Consulting

Sarah is the author of the O’Reilly book Enabling Microservice Success: Managing Technical, Organizational and Cultural Challenges.

She is a technology leader, consultant and conference speaker with a focus on microservices, engineering enablement, observability and DevOps. She has over 20 years’ experience as a developer, principal engineer and tech director across product, platform, SRE and DevOps teams.

Talk Title - The Challenge of Keeping Things Up-to-date

When you build a system to solve a business problem, you hope it’s going to be a success, and that means the code you’ve written will run in production for a long time. But there is a challenge in keeping your system up to date:

- making sure that the software it depends on gets patched and upgraded
- responding to changes in the software landscape that offer you new opportunities
- recovering from decisions you made that it just turned out were not the right ones, or are not the right ones any more

Microservices architectures can make all these things harder.

Sarah will talk about how, if you invest in your ability to manage change, you can make this considerably less painful for everyone.

2nd Speaker - Eddie Forson - Founder Kiseki Labs

Eddie is a software engineer with 15+ years of experience across finance, logistics, energy, and insurance. He has been exploring AI for the past 8 years—starting with self-driving cars and computer vision, and now focused on LLMs, RAG, and AI Agents. He runs a boutique consultancy helping SMBs build AI-powered tools to save time or grow revenue.

Talk Title: Building AI Agents Without Losing Your Mind

In this talk, Eddie will share practical lessons from building AI Agents—both for clients and side projects. He will help us look at what AI Agents are, compare structured workflows to autonomous agents, and explore failure modes, instrumentation, and debugging.

You’ll leave with a mental model for how to approach agent-based systems, along with some example Python code to help you get started without going insane.