Building a Microservices platform takes time and challenges a number of traditions in our industry. Coming to grasp with the Brewer's theorem, BASE, streaming, and de-normalisation of data is a crucial step in accomplishing a successful Microservices platform. There's a lot of theory on Microservices out there, and with your nose up to the grindstone and progress slow it can at times be difficult to relate to and to remember how important it all is. With a run through of development styles of streaming, raw event stores, event sourcing, graph databases, and drilling down to infrastructure components like Graphite, Kibana, and Zipkin, this talk will share with you the experience needed to implement Microservices, with Cassandra as a cornerstone technology, in a modern polyglot persistence enterprise platform. With 6 years experience breaking up a monolith java+sql enterprise dinosaur into a Microservices platform today existing with over 200 thrift and http services Mick can give a hands on account of facing these challenges.