Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
DevOps: Continuous Delivery, Integration, and Deployment with DevOps: Dive into the core DevOps strategies

Buy

Explore the high-in demand core DevOps strategies with powerful DevOps tools such as Ansible, Jenkins, and Chef

Key Features

  • Get acquainted with methodologies and tools of the DevOps framework
  • Perform continuous integration, delivery, deployment, and monitoring using DevOps tools
  • Explore popular tools such as Git, Jenkins, Maven, Gerrit, Nexus, Selenium, and so on
  • Embedded with assessments that will help you revise the concepts you have learned in this book

Book Description

DevOps is the most widely used software engineering culture and practice that aim sat software development and operation. Continuous integration is a cornerstone technique of DevOps that merges software code updates from developers into a shared central mainline.

This book takes a practical approach and covers the tools and strategies of DevOps. It starts with familiarizing you with DevOps framework and then shows how toper form continuous delivery, integration, and deployment with DevOps. You will explore DevOps process maturity frameworks and progression models with checklist templates for each phase of DevOps. You will also be familiar with agile terminology, methodology, and the benefits accrued by an organization by adopting it. You will also get acquainted with popular tools such as Git, Jenkins ,Maven, Gerrit, Nexus, Selenium, and so on.You will learn configuration, automation, and the implementation of infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible.

This book is ideal for engineers, architects, and developers, who wish to learn the core strategies of DevOps.

This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. This book is repurposed for this specific learning experience from material from Packt's Hands-on DevOps by Sricharan Vadapalli.

What you will learn

  • Get familiar with life cycle models, maturity states, progression and best practices of DevOps frameworks
  • Learn to set up Jenkins and integrate it with Git
  • Know how to build jobs and perform testing with Jenkins
  • Implement infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible
  • Understand continuous monitoring process with tools such as Splunk and Nagios
  • Learn how Splunk improves the code quality

Who This Book Is For

This book is for engineers, architects, and developers, who wish to learn the core strategies of DevOps.

Table of Contents

  1. Introduction to DevOps
  2. DevOps Framework
  3. DevOps - Continuous Integration and Delivery
  4. DevOps Continuous Deployment
(HTML tags aren't allowed.)

Pro Apache Hadoop
Pro Apache Hadoop

Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been...

Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis
Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well...

Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture
Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world,...


Optimizing Hadoop for MapReduce
Optimizing Hadoop for MapReduce

This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it's an example-driven tutorial for the real world.

Overview

  • Optimize your MapReduce job performance
  • ...
Hadoop Beginner's Guide
Hadoop Beginner's Guide

Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services - just a willingness to learn the basics from this practical step-by-step tutorial.

Overview

  • Learn tools and techniques that let you approach big data with relish and not...
Practical Hadoop Migration: How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL
Practical Hadoop Migration: How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL

Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy