LDNUG June 2026 with Chris Simon + Tiago Sousa

This June we're at FundApps offices in HYLO, Bunhill Row. Chris Simon's back in town, and will be joining us to talk about streams and queues; plus Tiago Sousa from SteelEye will be talking about the work they're doing around using AI in comms surveillance. Our hosts at FundApps will be providing drinks and snacks, and there will be plenty of time to chat beforehand and in the pub afterwards. Chris Simon: It's like 10,000 streams when what you need is a queue 🎶🎵 A new dev team adopted E-D-A Got head of line blocking, on their very first day Isn't it ironic, don't you think 🎶🎵 The last few years have seen widespread adoption of Event-Driven Architecture, supported by DDD practices such as event storming. But what does that orange sticky note become when we start implementing our design? Common implementation choices include event sourcing, streaming platforms like Kafka and queuing systems like RabbitMQ. Unfortunately not every orange sticky note has the same operational needs, and many teams remain confused about the differences between these options, resulting in the selection of the wrong paradigm for their needs. This can lead to unnecessary complexity & operational challenges such as head of line blocking, dropped messages, challenges dealing with failed messages, difficulty with adaptive scaling and inadvertently increasing coupling between services. In this talk we'll bring that orange sticky note into the runtime of our system. We’ll start with a deep dive into the similarities and differences between event streaming platforms such as Kafka and queueing systems such as RabbitMq, Azure Service Bus & AWS SNS/SQS. We’ll then look at ways to assess your orange sticky notes to work out which messaging and persistence paradigms suit each one, helping you build more resilient, scalable and loosely coupled event-driven architectures. Tiago Sousa: AI in Comms Surveillance In this talk, Tiago shares what it's actually like to build AI for communications surveillance at SteelEye. Financial firms are required to monitor and flag communications for compliance, but making AI work reliably in that context is harder than it sounds. He'll walk through real examples from the trenches: what worked, what didn't, and what he'd do differently. Tiago Sousa is a Staff Data Engineer and AI Lead at SteelEye - a platform that helps financial firms monitor and flag communications and trades to stay compliant with regulations. He's spent the last five years building the data and AI systems that make that work. Before that, he did research in bioinformatics, which means he came into fintech from an unusual angle and has the scars to prove it. He's based in Braga, Portugal.

Venue

FundApps, HYLO

London

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