Golang Backend Engineering with Microservices, Kubernetes & Cloud

These are the basics learners should be comfortable with:

Programming Fundamentals

• ☑ Basic programming concepts
• ☑ Variables, data types, and operators
• ☑ Conditional statements and loops
• ☑ Basic understanding of functions
• ☑ Basic object-oriented programming concepts

Development Fundamentals

• ☑ Basic command-line / terminal usage
• ☑ Basic understanding of software development lifecycle
• ☑ Basic understanding of client-server architecture
• ☑ Basic knowledge of HTTP and web applications

Version Control

• ☑ Basic Git concepts
• ☑ clone
• ☑ add
• ☑ commit
• ☑ push
• ☑ pull
• ☑ branch

Note: Prior Go programming experience is helpful but not mandatory if the learner has good programming fundamentals.

Learners should have access to a Windows, Linux, or macOS system.

Core Development Tools

• ☑ Go / Golang
• ☑ Visual Studio Code
• ☑ Git
• ☑ GitHub account
• ☑ Go extension for Visual Studio Code
• ☑ Postman or equivalent API client

Database Tools

• ☑ MySQL or PostgreSQL
• ☑ Database client such as DBeaver
• ☑ Redis

Container & Orchestration Tools

• ☑ Docker Desktop / Docker Engine
• ☑ Docker Compose
• ☑ Kubernetes
• ☑ kubectl
• ☑ Minikube or Kind

Messaging Tools

• ☑ RabbitMQ
• ☑ Apache Kafka
• ☑ Kafka CLI / management tools

DevOps & Deployment Tools

• ☑ GitHub Actions or Jenkins
• ☑ Linux command-line environment
• ☑ YAML editor/support
• ☑ Optional cloud account for deployment exercises 

• ☑ Functions and Return Types
• ☑ Function Parameters
• ☑ Variadic Functions
• ☑ Anonymous Functions
• ☑ Closures
• ☑ Recursive Functions
• ☑ Multiple Return Values
• ☑ Named Return Values
• ☑ Deferred Function Calls
• ☑ Package Management in Go
• ☑ Go Modules and go.mod
• ☑ Creating Reusable Packages
• ☑ Organizing Go Projects
• ☑ Building Modular Applications

Practical

• ☑ Create a reusable Go utility package
• ☑ Build a modular command-line application 

• ☑ Arrays and Slice Fundamentals
• ☑ Slice Operations
• ☑ Slice Capacity and Length
• ☑ append() Function
• ☑ copy() Function
• ☑ Maps and Map Operations
• ☑ Adding, Updating, and Deleting Map Elements
• ☑ Iterating Collections Using range
• ☑ String Manipulation
• ☑ String Functions and Utilities
• ☑ strings Package
• ☑ bytes and rune Concepts
• ☑ Unicode Strings
• ☑ UTF-8 Handling

Practical

• ☑ Build a collection-processing application
• ☑ Implement string and Unicode utilities

• ☑ Structures in Go
• ☑ Struct Fields
• ☑ Struct Methods
• ☑ Nested Structs
• ☑ Anonymous Structs
• ☑ Pointers and Memory Handling
• ☑ Pointer Receivers
• ☑ Value vs Pointer Semantics
• ☑ Methods and Receivers
• ☑ Interfaces
• ☑ Polymorphism in Go
• ☑ Interface Composition
• ☑ Embedding
• ☑ Composition over Inheritance
• ☑ Type Assertions
• ☑ Type Switches

Practical

• ☑ Design a domain model using structs
• ☑ Build an interface-based service layer

• ☑ Go Error Interface
• ☑ Error Creation
• ☑ Error Wrapping
• ☑ Custom Errors
• ☑ Error Handling Best Practices
• ☑ Panic and Recover
• ☑ Reading Files
• ☑ Writing Files
• ☑ File Permissions
• ☑ Working with Directories
• ☑ Logging Techniques
• ☑ Structured Logging Concepts
• ☑ Configuration File Handling
• ☑ Environment Variables
• ☑ JSON Encoding
• ☑ JSON Decoding
• ☑ Struct Tags
• ☑ Configuration Management

Practical

• ☑ Build a configuration-driven Go application
• ☑ Implement application logging and error handling 

Module 5: Concurrency Programming in Golang

• ☑ Introduction to Concurrency
• ☑ Goroutines
• ☑ Channels
• ☑ Buffered Channels
• ☑ Unbuffered Channels
• ☑ Channel Direction
• ☑ Select Statement
• ☑ Synchronization Techniques
• ☑ WaitGroups
• ☑ Mutex
• ☑ Race Conditions
• ☑ Race Detector
• ☑ Worker Pool Pattern
• ☑ Context Package
• ☑ Cancellation and Timeouts
• ☑ Concurrent Application Design

Practical

• ☑ Build a concurrent worker pool
• ☑ Implement concurrent data processing
• ☑ Handle cancellation using context 

• ☑ Introduction to REST APIs
• ☑ HTTP Fundamentals
• ☑ net/http Package
• ☑ HTTP Methods
• ☑ Request and Response Handling
• ☑ Routing
• ☑ Middleware
• ☑ CRUD API Development
• ☑ JSON APIs
• ☑ Request Validation
• ☑ Response Formatting
• ☑ HTTP Status Codes
• ☑ API Error Handling
• ☑ Authentication Basics
• ☑ API Security Fundamentals
• ☑ API Testing with Postman

Practical Project

• ☑ Build a complete production-style REST API
• ☑ Implement CRUD operations
• ☑ Add validation and authentication 

• ☑ SQL Database Fundamentals
• ☑ MySQL Integration
• ☑ PostgreSQL Integration
• ☑ database/sql Package
• ☑ Database Connection
• ☑ CRUD Operations
• ☑ Query Execution
• ☑ Prepared Statements
• ☑ Transactions
• ☑ Query Parameters
• ☑ Database Error Handling
• ☑ ORM Concepts
• ☑ ORM Integration in Go
• ☑ Connection Pooling
• ☑ Database Migrations
• ☑ Repository Pattern

Practical Project

• ☑ Build a database-backed REST API
• ☑ Implement transactions and repository architecture 

• ☑ Introduction to Containers
• ☑ Docker Architecture
• ☑ Docker Images
• ☑ Docker Containers
• ☑ Dockerfile
• ☑ Multi-Stage Docker Builds
• ☑ Building Go Images
• ☑ Running Go Containers
• ☑ Container Lifecycle
• ☑ Docker Volumes
• ☑ Docker Networking
• ☑ Docker Compose
• ☑ Environment Variables
• ☑ Containerized Database
• ☑ Containerized Go API 

Practical

• ☑ Create a Docker image for a Go API
• ☑ Run Go API + Database using Docker Compose 

• ☑ Introduction to Kubernetes
• ☑ Kubernetes Architecture
• ☑ Control Plane and Worker Nodes
• ☑ Pods
• ☑ Deployments
• ☑ ReplicaSets
• ☑ Services
• ☑ Ingress
• ☑ Namespaces
• ☑ ConfigMaps
• ☑ Secrets
• ☑ Resource Requests and Limits
• ☑ Health Checks
• ☑ Horizontal Scaling Concepts
• ☑ Rolling Updates
• ☑ Kubernetes Configuration Files
• ☑ kubectl Commands
• ☑ Deploying Go Applications on Kubernetes

Practical

• ☑ Deploy a containerized Go REST API
• ☑ Configure Kubernetes Service and Ingress
• ☑ Configure application secrets and environment variables
• ☑ Scale the Go application

• ☑ Introduction to Microservices
• ☑ Monolithic vs Microservices Architecture
• ☑ Microservices Design Principles
• ☑ Designing Microservices Using Go
• ☑ Service Boundaries
• ☑ API Gateway Concepts
• ☑ Service Discovery
• ☑ Inter-Service Communication
• ☑ Synchronous Communication
• ☑ Asynchronous Communication
• ☑ Load Balancing
• ☑ Centralized Configuration
• ☑ Distributed Logging
• ☑ Monitoring Concepts
• ☑ Fault Tolerance
• ☑ Retry and Timeout Patterns
• ☑ Circuit Breaker Concepts
• ☑ Docker-Based Microservices
• ☑ Kubernetes-Based Microservices

Major Practical Project

• ☑ Design a multi-service Go application
• ☑ Implement API Gateway
• ☑ Implement inter-service communication
• ☑ Containerize all services
• ☑ Deploy microservices to Kubernetes 

• ☑ Introduction to Apache Kafka
• ☑ Kafka Architecture
• ☑ Brokers
• ☑ Topics
• ☑ Partitions
• ☑ Producers
• ☑ Consumers
• ☑ Consumer Groups
• ☑ Kafka Message Flow
• ☑ Offsets
• ☑ Offset Management
• ☑ Event-Driven Architecture
• ☑ Kafka vs Traditional Messaging
• ☑ Kafka Integration with Golang
• ☑ Event-Based Microservices

Practical

• ☑ Create a Kafka producer using Go
• ☑ Create a Kafka consumer using Go
• ☑ Implement an event-driven workflow 

• ☑ Introduction to Redis
• ☑ Redis Architecture
• ☑ Redis Data Structures
• ☑ Strings, Lists, Sets, and Hashes
• ☑ Redis Pub/Sub
• ☑ Redis Streams
• ☑ Stream Consumer Groups
• ☑ Message Processing
• ☑ Redis Integration with Golang
• ☑ Caching Strategies
• ☑ Cache-Aside Pattern
• ☑ Cache Invalidation Concepts
• ☑ Performance Optimization
• ☑ Redis in Microservices

Practical

• ☑ Implement Redis caching for a Go API
• ☑ Build a Redis Streams consumer
• ☑ Improve API response performance using caching

• ☑ Unit Testing in Go
• ☑ Testing Packages
• ☑ Test Cases
• ☑ Table-Driven Tests
• ☑ Mocking Concepts
• ☑ Integration Testing
• ☑ Benchmark Testing
• ☑ Debugging Techniques
• ☑ Go Race Detector
• ☑ Code Quality Practices
• ☑ CI/CD Fundamentals
• ☑ GitHub Actions
• ☑ Jenkins Introduction
• ☑ Automated Build and Test
• ☑ Docker Image Build Automation
• ☑ Kubernetes Deployment Automation
• ☑ Deployment Strategies
• ☑ Production Deployment Concepts 

Enterprise E-Commerce / Order Management Microservices Platform

Learners will design and implement a complete cloud-native backend system using Golang.

Project Components

• ☑ User / Authentication Service
• ☑ Product Service
• ☑ Order Service
• ☑ Payment Service
• ☑ Notification Service
• ☑ API Gateway
• ☑ PostgreSQL / MySQL Database
• ☑ Redis Caching
• ☑ RabbitMQ / Kafka Messaging
• ☑ REST APIs
• ☑ Docker Containers
• ☑ Kubernetes Deployment
• ☑ Logging and Monitoring
• ☑ Unit and Integration Testing
• ☑ CI/CD Pipeline

Deployment

• ☑ Containerize all Go microservices
• ☑ Create Kubernetes manifests
• ☑ Configure Services and Ingress
• ☑ Configure Secrets and ConfigMaps
• ☑ Implement application scaling
• ☑ Build automated CI/CD workflow
• ☑ Deploy the complete application to a cloud environment 

By the end of this course, learners will be able to:

• ☑ Develop production-quality backend applications using Golang
• ☑ Build scalable REST APIs
• ☑ Work with MySQL/PostgreSQL databases
• ☑ Implement concurrent applications using Goroutines and Channels
• ☑ Design microservices using Go
• ☑ Implement synchronous and asynchronous communication
• ☑ Work with RabbitMQ and Apache Kafka
• ☑ Implement Redis caching and streams
• ☑ Containerize applications using Docker
• ☑ Deploy Go applications using Kubernetes
• ☑ Implement configuration and secrets management
• ☑ Write unit, integration, and benchmark tests
• ☑ Build CI/CD pipelines
• ☑ Understand cloud-native application architecture
• ☑ Develop and deploy a complete microservices-based application 

Programming

Go / Golang

Backend

REST API, HTTP, JSON, Middleware, Authentication

Database

MySQL, PostgreSQL, SQL, ORM, Database Migrations

Caching

Redis, Redis Streams, Redis Pub/Sub

Messaging

RabbitMQ, Apache Kafka

Containerization

Docker, Docker Compose

Orchestration

Kubernetes, kubectl, Minikube / Kind

Testing

Go Testing, Unit Testing, Integration Testing, Benchmarking

DevOps / CI-CD

Git, GitHub, GitHub Actions, Jenkins

Cloud-Native

Microservices, API Gateway, Service Discovery, Scaling, Fault Tolerance, Deployment

After successful completion, learners will have the practical foundation required to work as a Golang Backend Developer, Go Microservices Developer, Backend Engineer, or Cloud-Native Application Developer.

Learners will be able to develop, containerize, test, deploy, scale, and maintain modern Go-based backend and microservices applications using industry-relevant cloud-native technologies.

• ☑ Golang Developer
• ☑ Go Backend Developer
• ☑ Golang Backend Engineer
• ☑ Backend Software Engineer
• ☑ Go Microservices Developer
• ☑ Microservices Developer
• ☑ Cloud-Native Backend Developer
• ☑ Go API Developer
• ☑ Software Engineer – Golang
• ☑ Backend Application Developer
• ☑ Junior/Associate DevOps Engineer
• ☑ Cloud Application Developer
• ☑ Platform/Infrastructure Developer
• ☑ Site Reliability Engineer – Junior/Associate Level 

Golang Backend Developer

• ☑ Design and develop backend applications using Go
• ☑ Build RESTful APIs and JSON-based services
• ☑ Implement business logic and reusable Go modules
• ☑ Work with SQL and NoSQL-oriented technologies
• ☑ Implement error handling, logging, and validation
• ☑ Write unit and integration tests
• ☑ Debug and optimize backend applications

Go Microservices Engineer

• ☑ Design and develop independently deployable microservices
• ☑ Implement inter-service communication
• ☑ Integrate RabbitMQ, Kafka, and Redis
• ☑ Implement service resiliency and fault-tolerance concepts
• ☑ Containerize services using Docker
• ☑ Deploy and manage services using Kubernetes
• ☑ Implement scalable and cloud-native architectures

Cloud-Native Backend Engineer

• ☑ Build containerized Go applications
• ☑ Create Docker images and deployment configurations
• ☑ Deploy Go applications to Kubernetes
• ☑ Configure services, ingress, secrets, and configuration
• ☑ Understand scaling and high-availability concepts
• ☑ Implement CI/CD and deployment workflows
• ☑ Monitor application and infrastructure health