Apache Mesos is an open source cluster manager that handles workloads in a distributed environment through dynamic resource sharing and isolation. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

This course begins with an introduction to Inference matroids wherein you will learn vertex combiners with Hama, Graph Isomorphism, Soliton, and DAGs. Then, you will learn to perform granular synthesis with druid streams and to write custom isolator module for mesos. Next, you will be introduced to RoBo and will learn to manifold the cluster trees. Then, you will understand what is Pythonic Clojars and Monads. Further, you will be familiar with the Actor Dining Model and Port mappings. Finally, you will learn autoscaling clusters.

Key Features

• In-depth coverage of Inference matroids
• Perform granular synthesis with druid streams
• Write a custom isolator module for Mesos
• Perform MCMC anomaly detection
• Understand Actor Dining Model and Docker Port Mappings

Who this course is for

This course is for journeyman distributed data center enthusiasts and Mesos professionals in the industry with a strong foundation in Stochastic Calculus, Statistical Learning, Pattern Recognition, Algorithms and Data Structures with Graphs, Queues, Heaps, Stacks, and more. Also, you should have proficient working knowledge of search algorithms, linear optimization, dynamic programming. Having knowledge of Software Engineering principles such as Finite State Machines, Priority Queues, Linked Lists, Adjacency Lists, Hash Tables, BFS, DFS, and Cellular Automats will be beneficial.