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

Architecture migration approach


Forrester Research and InfoWorld propose a four-tier engagement/architecture platform toward microservices. This architecture model adopts the changes in computing and penetration of mobile devices for application development.

The foremost consideration is to decide on microservices architecture and design the services interaction before optimizing.

The four-tier approach to microservices is broken down into the following different layers:

  • Client tier: This is customer experience based on mobile clients and IoT
  • Delivery tier: This optimizes user experience based on the device personalizing content by monitoring user choices
  • Aggregation tier: This aggregates data from the services tier a long with data protocol translation
  • Services tier: This is the usage of existing data services in-house, or external services, such as Twilio and Box

The biggest difference is the separation of the client tier; based on real-time interaction with users the layers underneath can be...