Book Image

Mobile DevOps Playbook

By : Moataz Nabil
Book Image

Mobile DevOps Playbook

By: Moataz Nabil

Overview of this book

To build mobile apps, you need to understand mobile-first features, tools, and processes that help you build, test, and release robust apps faster and more efficiently. The multitude of challenges stemming from mobile development's inherent complexities, including native iOS and Android app creation, cross-platform frameworks, and the implementation of scalable architectures within extensive teams, collectively contribute to a substantial number of obstacles that can significantly prolong the release process. This book will help you understand and implement the best practices of mobile DevOps for continuous integration, testing, delivery, deployment, and monitoring. You’ll explore different challenges faced by developers due to varied OSs, the unforgiving nature of mobile applications, and continuous updates to mobile phones and learn how to maneuver through these challenges. You’ll also get to grips with the latest trends while discovering the potential future of mobile DevOps, with valuable insights and guidance about integrating mobile development teams into your organization. By the end of this book, you’ll be well-equipped to successfully implement mobile DevOps and build fast, qualitative, and efficient mobile apps for your team or organization.
Table of Contents (18 chapters)
1
Part 1: Introduction to Mobile DevOps
5
Part 2: Implementing the Mobile DevOps Environment
9
Part 3: Monitoring, Optimizing, and Securing Mobile DevOps
13
Part 4: Moving Beyond Mobile DevOps and the Future of DevOps

How AI and ML are changing mobile testing

Mobile testing has been revolutionized by AI and ML. Developers can test applications more swiftly and precisely because they automate testing. With the help of predictive analytics, bugs can be fixed more quickly. Intelligent test case generation develops test cases based on user behavior and utilization trends, exposing potential problems.

Additionally, the expense of mobile testing can be decreased with the assistance of AI and ML in addition to the advantages already stated. Companies can reduce the expenses associated with manual labor and simplify their testing processes by automating them.

Codeless and AI-based testing tools

AI can be a game-changer in automation testing. AI-powered testing tools can help improve test coverage, reduce the time and effort required for testing, and provide more accurate test results.

Here are some tools that can help software testers unleash the power of AI in automation testing:

  • Applitools...