Book Image

Learning DevOps.

By : Mikael Krief
Book Image

Learning DevOps.

By: Mikael Krief

Overview of this book

The implementation of DevOps processes requires the efficient use of various tools, and the choice of these tools is crucial for the sustainability of projects and collaboration between development (Dev) and operations (Ops). This book presents the different patterns and tools that you can use to provision and configure an infrastructure in the cloud. You'll begin by understanding DevOps culture, the application of DevOps in cloud infrastructure, provisioning with Terraform, configuration with Ansible, and image building with Packer. You'll then be taken through source code versioning with Git and the construction of a DevOps CI/CD pipeline using Jenkins, GitLab CI, and Azure Pipelines. This DevOps handbook will also guide you in containerizing and deploying your applications with Docker and Kubernetes. You'll learn how to reduce deployment downtime with blue-green deployment and the feature flags technique, and study DevOps practices for open source projects. Finally, you'll grasp some best practices for reducing the overall application lead time to ensure faster time to market. By the end of this book, you'll have built a solid foundation in DevOps, and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques
Table of Contents (23 chapters)
Free Chapter
Section 1: DevOps and Infrastructure as Code
Section 2: DevOps CI/CD Pipeline
Section 3: Containerized Applications with Docker and Kubernetes
Section 4: Testing Your Application
Section 5: Taking DevOps Further

Monitoring your system

One of the main elements for the success of DevOps culture is the implementation of tools that will continuously monitor the state of a system and applications. The monitoring must be implemented at all levels of the system by involving all teams, with the aim of having applications with real added value for the end user.

Indeed, the first component that can be monitored is the application itself, by implementing, as soon as possible, a log or trace system that will serve to gather information on the use of the application. Then, we will measure and monitor the state of the infrastructure, such as the RAM and CPU level of the VMs or the network bandwidth. Finally, the last element that must be monitored is the status of DevOps processes. It is therefore important to have metrics on the execution of CI/CD pipelines, such as information on the execution time...