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
1
Section 1: DevOps and Infrastructure as Code
6
Section 2: DevOps CI/CD Pipeline
9
Section 3: Containerized Applications with Docker and Kubernetes
12
Section 4: Testing Your Application
16
Section 5: Taking DevOps Further

Running performance tests with Postman

Among the tests that need to be done to guarantee the quality of our applications are functional, code analysis, and security tests, but there are also performance tests. The purpose of performance testing isn't to detect bugs in applications; it's to ensure that the application (or API) responds within an acceptable time frame to provide a good user experience.

The performance of an application is determined by metrics such as the following:

  • Its response time
  • The use of resources (CPU, RAM, and network)
  • The error rate
  • The number of requests per second

Performance tests are divided into several types of tests, such as load tests, stress tests, and scalability tests.

There are many tools available to perform performance tests. This article, https://www.softwaretestinghelp.com/performance-testing-tools-load-testing-tools/, lists...