Book Image

Security Automation with Ansible 2

By : Akash Mahajan, MADHU AKULA
Book Image

Security Automation with Ansible 2

By: Akash Mahajan, MADHU AKULA

Overview of this book

Security automation is one of the most interesting skills to have nowadays. Ansible allows you to write automation procedures once and use them across your entire infrastructure. This book will teach you the best way to use Ansible for seemingly complex tasks by using the various building blocks available and creating solutions that are easy to teach others, store for later, perform version control on, and repeat. We’ll start by covering various popular modules and writing simple playbooks to showcase those modules. You’ll see how this can be applied over a variety of platforms and operating systems, whether they are Windows/Linux bare metal servers or containers on a cloud platform. Once the bare bones automation is in place, you’ll learn how to leverage tools such as Ansible Tower or even Jenkins to create scheduled repeatable processes around security patching, security hardening, compliance reports, monitoring of systems, and so on. Moving on, you’ll delve into useful security automation techniques and approaches, and learn how to extend Ansible for enhanced security. While on the way, we will tackle topics like how to manage secrets, how to manage all the playbooks that we will create and how to enable collaboration using Ansible Galaxy. In the final stretch, we’ll tackle how to extend the modules of Ansible for our use, and do all the previous tasks in a programmatic manner to get even more powerful automation frameworks and rigs.
Table of Contents (18 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Free Chapter
1
Introduction to Ansible Playbooks and Roles
5
Automating Web Application Security Testing Using OWASP ZAP

Introduction to Elastic Stack


Elastic Stack is a group of open source products from the Elastic company. It takes data from any type of source and in any format and searches, analyzes, and visualizes that data in real time. It consists of four major components, as follows:

  • Elasticsearch
  • Logstash
  • Kibana
  • Beats

Elastic Stack architecture overview (image taken from https://www.elastic.co/blog/beats-1-0-0)

It helps users/admins to collect, analyze, and visualize data in (near) real time. Each module fits based on your use case and environment.

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected

Main plus points of Elastic Stack:

  • Distributed and highly available search engine, written in Java, and uses Groovy
  • Built on top of Lucene
  • Multi-tenant, with multi types and a set of APIs
  • Document-oriented, providing...