KubeCon + CloudNativeCon North America 2017

Microservices-style architectures solve several problems but also introduce new complexities. With Microservices, a best practice is to keep services isolated and loosely coupled. However, in the real world, it is not uncommon to encounter business logic which requires coordination across multiple business functions i,e. microservices.

The distributed workflow pattern addresses this problem. In this presentation we will describe the distributed workflow pattern and its use cases. We will then look at various implementations of this pattern, such as Netflix Conductor, AWS Simple Workflow Service and NirmataOSS Workflow.

We will end by showing a demonstration of a distributed workflow, running on a Kubernetes cluster and show how workflow managers can leverage Kubernetes features like Horizontal Pod Autoscaling.