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 »

Apache Spark: core concepts, architecture and internals

This post covers core concepts of Apache Spark such as RDD, DAG, execution workflow, forming stages of tasks and shuffle implementation and also describes architecture and main components of Spark Driver. There's a github.com/datastrophic/spark-workshop project created alongside with this post which contains Spark Applications examples and dockerized Hadoop environment to play with. »