Go Modern Backend Development with Go

Master Go programming with a focus on building cloud-native applications, microservices, and containerized backends. Learn the language that powers Kubernetes, Docker, and modern infrastructure.

No Prerequisites Required

Jump right in! All you need is a web browser. We provide everything else.

Just a Browser

No software installation needed

Lab Environment

Fully configured and ready to use

What You'll Learn

Go has become the language of choice for cloud-native development, powering everything from Kubernetes to Docker to modern microservices. This comprehensive training teaches you Go programming with a specific focus on building production-ready, containerized applications and cloud-native services.

  • Master Go syntax, idioms, and best practices
  • Build REST APIs and microservices with Go
  • Implement concurrent programming with goroutines and channels
  • Create containerized Go applications with Docker
  • Build cloud-native applications following 12-factor principles
  • Implement observability with metrics, logging, and tracing
  • Work with databases and data persistence in Go
  • Write comprehensive tests and benchmarks
  • Deploy Go applications to Kubernetes
  • Optimize Go applications for performance and scalability
1

Go Fundamentals

Master the core concepts and syntax of Go programming

Go language overview and ecosystem
Setting up the Go development environment
Variables, types, and constants
Functions and methods
Control structures and error handling
Packages and modules
2

Data Structures and Collections

Working with Go's built-in data structures effectively

Arrays and slices
Maps and their use cases
Structs and embedded types
Interfaces and polymorphism
Pointers and memory management
String manipulation and processing
3

Concurrency and Goroutines

Mastering Go's powerful concurrency model

Goroutines and the Go scheduler
Channels for communication
Select statements and multiplexing
Synchronization primitives (Mutex, WaitGroup)
Context package for cancellation
Common concurrency patterns
4

Building REST APIs

Creating robust HTTP services and APIs

HTTP package fundamentals
Building RESTful services
Middleware patterns and implementation
Request validation and error handling
Popular frameworks (Gin, Echo, Fiber)
API documentation with OpenAPI/Swagger
5

Database Integration

Working with databases and data persistence

Database/sql package fundamentals
Working with PostgreSQL and MySQL
Connection pooling and management
GORM for ORM-style development
Database migrations and versioning
NoSQL databases (MongoDB, Redis)
6

Testing and Quality Assurance

Comprehensive testing strategies for Go applications

Unit testing with the testing package
Table-driven tests
Mocking and dependency injection
Integration testing strategies
Benchmarking and performance testing
Code coverage and quality metrics
7

Error Handling and Logging

Robust error handling and observability practices

Go's error handling philosophy
Custom error types and wrapping
Structured logging with popular libraries
Metrics collection with Prometheus
Distributed tracing concepts
Health checks and monitoring endpoints
8

Containerization and Deployment

Deploying Go applications in containerized environments

Creating efficient Docker images for Go
Multi-stage builds and optimization
Configuration management (12-factor app)
Secrets and environment management
Health checks and graceful shutdown
Deploying to Kubernetes
9

Microservices Patterns

Building distributed systems with Go

Microservices architecture principles
Service discovery and communication
Circuit breakers and resilience patterns
API gateways and load balancing
Event-driven architectures
Distributed system challenges
10

Performance and Optimization

Optimizing Go applications for production

Profiling Go applications
Memory management and garbage collection
CPU profiling and optimization
Benchmarking and performance testing
Scaling strategies and bottleneck identification
Production monitoring and alerting