Stateful Stream Processing

Join us on Slack (https://kafka-london-invites.herokuapp.com/)

6.30pm - Doors open, Food + Drinks, Network

7.00pm - Talk - "Rethinking Services with Stateful Streams" with Ben Stopford from Confluent

For some Kafka is simply a conduit for low latency analytics. But stream processing is an increasingly popular tool for building transactional systems that run business logic for banks, telcos, consumer companies and more.
This talk walks through how Stateful Stream Processing can be used as a backbone to share state between services, breaking the chains that tie typical request-driven architectures. We’ll look at the benefits of a using a message bus that can retain state. Then layer atop stream processing tools to balance the dichotomy between consistency and the independence services need to iterate and get things done.

Ben is an engineer and architect working on Apache Kafka at Confluent Inc (the company behind Apache Kafka). He’s worked with distributed data infrastructure for over a decade, switching between engineering products and helping companies use them. Before Confluent he designed and built a central streaming database for a large investment bank. His earlier career spanned a variety of projects at Thoughtworks and UK-based enterprise companies. Find out more at http://benstopford.com .

7:40 pm - Talk - "Lean Streams: Practical Real-Time Architecture" with Michael Hancock and Mark Tranter from Judopay.com (https://www.judopay.com/)

Building a real-time, event-driven architecture can revolutionise your business, providing many benefits such as proactive analytics, decoupling of microservices, distribution of data with high consistency. This doesn't necessarily come at a high cost. We'll look at how to deliver an enterprise level Kafka-based solution in a lean startup.

Judopay is the only mobile-first payments company and is focused on delivering highly scalable real-time solutions. We are growing at a rate of 20-30% month on month with millions of transactions processed every month; big fast data is in everything we do. Mike is a CTO and Architect with a background in large e-commerce solutions, big data and data science. Mark is an engineer and architect with a passion for highly scalable solutions; he has delivered bidding platforms processing tens of thousands of messages per second.