Prometheus

Modern in-memory distributed computation frameworks like Spark adequately leverage memory resources to cache intermediate data across multi-stage tasks in pre-allocated worker processes, so as to speedup executions. They rely on a cluster resource manager like Yarn or Mesos to pre-reserve specific amount of CPU and memory for workers ahead of task scheduling. Since a worker is executed for an entire application and runs multiple batches of DAG tasks from multi-stages, its memory demands change over time [3].