Resource Allocation in Mesos: Dominant Resource Fairness

Apache Mesos provides a unique approach to cluster resource management called two-level scheduling: instead of storing information about available cluster resources in centralized manner it operates with a notion of resource offers which slave nodes advertise to running frameworks via Mesos master, thus keeping the whole system architecture concise and scalable. Master's allocation module is »

Data processing platforms architectures with SMACK: Spark, Mesos, Akka, Cassandra and Kafka

This post is a follow-up of the talk given at Big Data AW meetup in Stockholm and focused on different use cases and design approaches for building scalable data processing platforms with SMACK(Spark, Mesos, Akka, Cassandra, Kafka) stack. While stack is really concise and consists of only several components it is possible to implement »