Mesos Analytics

Video description

This course focuses on creation of UI dashboard for analytics with the help of Node, Flux, React, and webpack

About This Video

  • Explore Soliton Automata Model
  • Perform dynamic resource allocation in a noArch environment
  • Undertake case studies for deeper understanding of advanced topics
  • Learn job scheduling and perform dynamic tenancy allocation
  • Front-End Scripting with NodeJS and React with Webpack, Flux, Redux, Babel, CSSLint, and more

In Detail

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 undertaking Airbnb case study and understanding DeltaSync at Airbnb. Then, you look at another case study wherein you will learn Fenzo with Mesos. Also, you will learn reactive streams with Redux dispatcher and the Gulp Task Runner concurrency issue. Next, you will learn about Soliton Automata model and will perform dynamic resource allocation in a noArch environment. Also, you will be familiar with Cassandra sink and network flows. Moving ahead, you will learn multitenancy with druid to power user-facing data applications. Also, you will undertake heron case study and learn job scheduling and dynamic tenancy allocation. Finally, you will learn Airflow and Webpack in Mesos.


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.

Publisher resources

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Product information

  • Title: Mesos Analytics
  • Author(s): Karl Whitford
  • Release date: July 2018
  • Publisher(s): Packt Publishing
  • ISBN: 9781788475730