Book Image

Hands-on DevOps

By : Sricharan Vadapalli
Book Image

Hands-on DevOps

By: Sricharan Vadapalli

Overview of this book

<p>DevOps strategies have really become an important factor for big data environments.</p> <p>This book initially provides an introduction to big data, DevOps, and Cloud computing along with the need for DevOps strategies in big data environments. We move on to explore the adoption of DevOps frameworks and business scenarios. We then build a big data cluster, deploy it on the cloud, and explore DevOps activities such as CI/CD and containerization. Next, we cover big data concepts such as ETL for data sources, Hadoop clusters, and their applications. Towards the end of the book, we explore ERP applications useful for migrating to DevOps frameworks and examine a few case studies for migrating big data and prediction models.</p> <p>By the end of this book, you will have mastered implementing DevOps tools and strategies for your big data clusters.</p>
Table of Contents (22 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
11
DevOps Adoption by ERP Systems
12
DevOps Periodic Table
13
Business Intelligence Trends
14
Testing Types and Levels
15
Java Platform SE 8

Cloud computing technologies


Cloud technologies encompass a wide umbrella of multiple service offerings and underlying technologies, as depicted in the following diagram:

The increasing popularity of cloud computing has resulted in its wide adoption across industries such as banking, insurance, hi-tech, pharmacy, manufacturing, and so on. Big data systems ingest huge volumes of data from multiple source systems with variety of formats. Therefore, its quite economical to stage or store data on cloud compared to on-premise systems.

Even with Internet of Things, sensor data from machines runs into terabytes and petabytes quickly, therefore only cloud systems are economical to hold such data volumes. With strategic and systematic adoption of business processes, applications, platforms, and infrastructures, businesses can accrue the following multiple benefits:

  • Dynamic load patterns and elastic scalability: A well-known application of the cloud is where the workload is varying and unpredictable...