Swift (iOS/macOS) and Kubernetes: Deploying and Orchestrating Mobile Backends

This book is a bridge between two worlds: native iOS/macOS development and the modern Kubernetes infrastructure. If you are a Swift developer who wants to independently deploy the server side of your application, or a DevOps engineer looking for effective ways to orchestrate Swift services — this guide is for you.

The book starts with the basics: you will learn how to package a Swift application (based on Vapor or Kitura) into a Docker container, optimize its size, and configure the build. Then, step by step, you will master deployment in Kubernetes: from creating a simple Pod to setting up a full-fledged Production cluster.

What you will learn:

• Swift Containerization: building lightweight Docker images for Swift servers, working with dependencies, and multi-stage builds.
• Deployment in Kubernetes: creating Deployment, Service, Ingress for your Swift backend.
• CI/CD for Swift: configuring pipelines (GitHub Actions, GitLab CI) for automatic building, testing, and deployment.
• Scaling and Fault Tolerance: Horizontal Pod Autoscaler, Health Checks, update strategies (Rolling Update).
• Monitoring and Logging: integrating Swift applications with Prometheus, Grafana, centralized log collection (ELK/Loki).
• Security: Secrets, Network Policies, TLS for Swift services.

Who this book is for:

• iOS/macOS developers wanting to master the server side of Swift and DevOps practices.
• Backend developers in Swift who want to implement Kubernetes in their projects.
• DevOps engineers working with non-standard languages (Swift) in the infrastructure.
• Team Leads and architects planning a microservice architecture in Swift.

All code examples are available for download and have been tested on current versions of Swift 5.9+ and Kubernetes 1.28+. The book is practice-oriented: minimum theory, maximum working configurations and ready-made scripts.

After reading, you will be able to independently deploy a high-load Swift backend, configure its automatic scaling and monitoring, and integrate it with an existing Kubernetes infrastructure. This is an indispensable tool for those who want to take their Swift projects to a new level of reliability and performance.