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

Splunk


Splunk is a popular application monitoring tool to gain real-time visibility into DevOps-driven application delivery for Continuous Delivery or Continuous Integration to move from concept to production quickly. Splunk enterprise helps improve the business impact of application delivery by enhancing velocity and quality.

Splunk improves code quality with the following benefits:

  • Resolve code issues before customers see them
  • Detect and fix issues related to production faster
  • Objective metrics are available to ensure code is operational and meets quality SLAs

Splunk is a platform to capture and record all the activity and behavior of your customers, machine data, users, transactions, applications, servers, networks, and mobile devices.

The Splunk platform enhances its business impact by integrated real-time insights from application development to testing to production monitoring. It provides cohesive views across all stages of the delivery life cycle as opposed to discrete release components...