Build cloud native apps, Terraform providers, and scalable DevOps tools using Go in production-grade systems
Key Features
- Build scalable DevOps tools, APIs, and CLIs using Go
- Develop custom Terraform providers and test them with the SDK
- Integrate Prometheus metrics, AWS, and Azure cloud SDKs
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Mastering Go for DevOps shows you how to harness Go to build production-ready tools, from interactive CLIs to observability integrations and custom Terraform providers.
Mastering Go for DevOps takes a hands-on approach, teaching you how to create robust CLI applications, develop RESTful APIs and gRPC services, and integrate monitoring solutions with Prometheus. You'll extend Terraform with custom providers, write comprehensive unit and integration tests using the Terraform SDK, and automate your testing in CI/CD pipelines with GitHub Actions.
You'll also explore cloud-native development by integrating Go applications with AWS and Azure SDKs and deploying serverless functions with AWS Lambda and Azure Functions. Whether you're building automation scripts or distributed systems, this book equips you with the skills to streamline and scale your infrastructure operations.
By the end of this book, you'll know how to build Go-based DevOps tools, automate infrastructure provisioning, and create cloud-native systems ready for real-world deployment.
What you will learn
- Develop interactive CLIs and package them for distribution
- Implement RESTful APIs and gRPC services in Go
- Integrate Prometheus metrics and build custom exporters
- Build custom Terraform providers with CRUD support
- Write unit and integration tests using the Terraform SDK
- Automate testing workflows in GitHub Actions
- Use Go to interact with AWS and Azure services programmatically
- Create and deploy serverless functions using AWS Lambda and Azure Functions
Who this book is for
This book is for DevOps engineers, cloud engineers, and infrastructure specialists who want to build scalable automation and tooling using Go. Prior knowledge of Go and DevOps concepts such as version control, pipelines, and YAML is recommended.
