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.
The code files are placed at this link https://github.com/PacktPublishing/Mesos-Analytics
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