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 …
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.
Audience
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.
Chapter 1 : Reactive Streams and Web Bundles for Mesos UI
The Course Overview
Mesos-UI and Timeseries Priority Smoothing
Scalable MVC for Mesos-UI
Chapter 2 : Observability Wrappers
Configure Mesos Endpoints
Introduction to Superagent
Chapter 3 : React Pipelines with Mesos
Reactive-DOM Streams
Timeseries Smoothing
Chapter 4 : Time Series Smoothing
React PropTypes and the Eventqueue
Autovariational Soliton Encoder
Chapter 5 : Kurtosis Constraints
Extracting Metrics from Mesos with InfluxDB
Convolution of Hysteresis
Chapter 6 : Building a Dashboard
Reactive Dashboard
Yang-Mills of Nonlinear Mesos RX
Chapter 7 : Decorating Our Dashboard
DRF Availability in HA
D3 and React
Chapter 8 : The Heartbeat
The Learning Pipeline
Introduction to ReactVR
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