Welcome to the GoLang 30-Day Path for DevOps and Platform Engineering! This guide is designed to help you learn and apply GoLang in DevOps workflows and platform engineering over the course of 30 days.
- Basic understanding of programming concepts.
- Familiarity with DevOps tools and practices.
- GoLang installed on your system. Install Go
- Learn the basics of GoLang: syntax, variables, and data types.
- Resources:
- Understand functions, packages, and modular programming in Go.
- Practice creating and importing packages.
- Learn Go's error handling mechanisms.
- Implement error handling in sample programs.
- Explore goroutines and channels.
- Write concurrent programs for DevOps tasks.
- Work with file I/O and network operations.
- Build a simple HTTP server.
- Learn to consume and create REST APIs using Go.
- Use libraries like
net/http
andgorilla/mux
.
- Automate DevOps tasks such as CI/CD pipelines and infrastructure provisioning.
- Integrate Go with tools like Docker and Kubernetes.
- Write unit tests using Go's
testing
package. - Learn about mocking and test coverage.
- Implement logging using Go libraries like
log
andlogrus
. - Integrate monitoring tools for Go applications.
- Apply everything you've learned to build a small DevOps tool.
- Example: A CLI tool for managing Docker containers.
- Dive deeper into goroutines, channels, and worker pools.
- Optimize concurrent programs for performance.
- Learn about Go modules and versioning.
- Manage dependencies effectively in large projects.
- Create command-line tools using Go.
- Use libraries like
cobra
andurfave/cli
.
- Use Go to interact with IaC tools like Terraform and Pulumi.
- Automate infrastructure provisioning.
- Learn to build Kubernetes operators using the
controller-runtime
library. - Manage custom resources in Kubernetes.
- Implement event-driven architectures using Go.
- Work with message queues like RabbitMQ and Kafka.
- Secure your Go applications with best practices.
- Use libraries for encryption, authentication, and authorization.
- Build distributed systems using Go.
- Learn about RPC frameworks like gRPC.
- Implement observability using tracing, metrics, and logging.
- Use tools like OpenTelemetry and Prometheus.
- Build advanced REST and GraphQL APIs.
- Implement middleware and rate limiting.
- Interact with SQL and NoSQL databases using Go.
- Use libraries like
gorm
andmongo-go-driver
.
- Build and manage Docker containers using Go.
- Use libraries like
docker/docker
for container orchestration.
- Interact with cloud providers like AWS, GCP, and Azure using Go SDKs.
- Automate cloud resource management.
- Profile and optimize Go applications.
- Use tools like
pprof
andbenchstat
.
- Design and implement microservices using Go.
- Use frameworks like
go-kit
andmicro
.
- Integrate Go applications with service meshes like Istio and Linkerd.
- Manage traffic and observability.
- Build serverless applications using Go.
- Deploy to platforms like AWS Lambda and Google Cloud Functions.
- Automate CI/CD pipelines using Go.
- Integrate with tools like Jenkins, GitHub Actions, and GitLab CI.
- Work with advanced networking concepts in Go.
- Implement custom protocols and load balancers.
- Apply everything you've learned to build a platform engineering tool.
- Example: A tool for managing Kubernetes clusters or CI/CD pipelines.
Feel free to contribute to this guide by submitting a pull request or opening an issue.
This project is licensed under the MIT License. See the LICENSE file for details.
Happy coding!