Velos provides predictive Aaalytics lifecycle and scaling solutions for Enterprise companies. Formerly Sociocast, a SaaS solution with use-case specific ad tech and e-commerce models on our own hardware. Velos provides an on-premise platform supporting any models on various production runtimes, such as Hadoop, Storm, Spark and others.
We will discuss the evolution from an Hadoop-only system to an architecture consisting of Storm, Play, Kafka, Redis, MapR M3, and MapR M7 (HBase) to meet our requirements. An overview of the different types of topologies created by Sociocast will be discussed with an in depth review of the topology used for real-time probabilistic and absolute counting. Performance metrics of the platform will be shared as well as a development road map for the platform.