The world of Microservices is a little different to standard service oriented architectures. They play to an opinionated score of decentralisation, isolation and automation. Stream processing comes from a different angle though. One where analytic function is melded to a firehose of in-flight events. Yet business applications increasingly need to be data intensive, nimble and fast to market. This isn’t as easy as it sounds.

This talk will look at the implications of mixing toolsets from the stream processing world into realtime business applications. How to effectively handle infinite streams, how to leverage a high throughput, persistent Log and deploy dynamic, fault tolerant, streaming services. By mixing these disparate domains we’ll see how we can build application architectures that can withstand the full force and immediacy of the data generation.