Clustering

How to Install Hadoop in Stand-Alone Mode on Ubuntu 16.04 — step-by-step Linux tutorial on Progressive Robot

How to Install Hadoop in Stand-Alone Mode on Ubuntu 16.04

Hadoop is a Java-based programming framework that supports the processing and storage of extremely large datasets on a cluster of inexpensive machines. It was the first major open source project in the big data playing field and is sponsored by the Apache Software Foundation. …

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The Docker Ecosystem: Service Discovery and Distributed Configuration Stores — step-by-step Docker tutorial on Progressive Robot

The Docker Ecosystem: Service Discovery and Distributed Configuration Stores

One of the core technologies that many Docker environments rely on is service discovery. Service discovery allows an application or component to discover information about their environment and neighbors. In this guide, we will discuss the benefits of service discovery within a clustered Docker environment. We will focus mainly on general concepts, but provide more specific examples where appropriate.

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An Introduction to Hadoop — step-by-step DevOps tutorial on Progressive Robot

An Introduction to Hadoop

Apache Hadoop is one of the earliest and most influential open-source tools for storing and processing the massive amount of readily-available digital data that has accumulated with the rise of the World Wide Web. It evolved from a project called Nutch, which attempted to find a…

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How To Configure a Galera Cluster with MySQL on Ubuntu 18.04 Servers — step-by-step Linux tutorial on Progressive Robot

How To Configure a Galera Cluster with MySQL on Ubuntu 18.04 Servers

In this guide, you will configure an active-active MySQL Galera cluster with three Ubuntu 18.04 servers. Clustering adds high availability to your MySQL database by distributing changes to different servers. In the event that one of the instances fails, others are quickly available to continue serving. Galera is a database clustering solution that enables you to set up multi-master clusters using synchronous replication.

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