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)
Part 1: Introduction to Mobile DevOps
Part 2: Implementing the Mobile DevOps Environment
Part 3: Monitoring, Optimizing, and Securing Mobile DevOps
Part 4: Moving Beyond Mobile DevOps and the Future of DevOps

A/B testing and feature flags

A/B testing and feature flags are powerful techniques used in mobile app development to experiment, validate, and roll out new features or variations to a subset of users. Let’s delve into how A/B testing and feature flags can benefit mobile apps and the tools available for implementing them.

A/B testing for mobile apps

A/B testing involves presenting different versions of an app or specific features to different user groups to evaluate their impact on user experience, engagement, or key performance indicators (KPIs).

Here’s how it works:

  1. Experimentation: A/B testing tools enable developers to define experiments, create alternative variations (A and B), and assign users randomly to each variation. For example, you might test different app layouts, navigation structures, or button placements.
  2. Measurement: Metrics and analytics are essential for evaluating the success of A/B tests. By monitoring user interactions, conversions...