As we build distributed highly scalable systems the central data store and transactions are no longer a safety net we can afford. In the world of event sourcing and CQRS (Command Query Responsibility Segregation) we need to design clever systems that don't show cracks and seams where eventual consistency is at play. We will tackle those unpleasant invariants and race conditions head on to investigate some technical and non technical smoke and mirror solutions that we can use to deliver a positive experience to end-users while finding the performance sweetspot.
We are utilizing the various PaaS/Serverless solutions to build more and more distributed systems. Often these systems need to work together to produce a result. When performance and scalability is of high priority, consistency (CAP theorem) takes a back seat. We still need to find ways to shelter the end-user from these design realities. The aim of this talk is to find ways of doing it. Be it through changing the business process or by doing clever tricks on the front end while giving the backend has a heartbeat to catch up. There are countless ways to do it. My goal is to investigate a few of them and get the conversations happening.