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

Microservices


It is an architecture pattern to structure as loosely coupled services to implement business capabilities, enabling an organization to evolve its technology stack on continuous delivery/deployment of large, complex applications.

Microservices core patterns

Microservice architecture is the core differentiator compared to monolithic architecture.

Monolithic architecture was based on unique requirement for building server-side enterprise application. It has to support a variety of clients, such as browsers from desktop, mobile, expose itself to third-party, and integrate with other applications through web services or message broker. Business logic is executed by handling HTTP requests and messages with a database, and returning a HTML/JSON/XML response:

The challenges associated with such architecture are:

  • The large monolithic code base is difficult to maintain, modularity breaks down over time because there are no hard module boundaries; hence, implementing a change becomes cumbersome...