These components form the backbone of the analytics app we are working on. "DB engine" / Long term state storage: Kafka w/ RocksDB* API layer: Node/GraphQL F

These components form the backbone of the analytics app we are working on. "DB engine" / Long term state storage: Kafka w/ RocksDB* API layer: Node/GraphQL Frontend: React Caching / Short term state storage: Redis (if/when needed) PaaS: Something like local Kubernetes w/ possibly some Istio and OSS services such as Spark when needed *) We are currently building Microservices using local state storage in RocksDB which really (ahum) rocks. We plan to offload serious queries and data slicing to Elasticsearch. Our current reactive microservice infrastructure is homegrown (due to it being written using .NET Core (and a sprinkle of Reactive Extensions) but if you are able to use Java or Scala you can (in some ways) get a even better version of our microservice infrastructure using Kafka Streams (the KTable and KStream primitives look really nice).