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Course Outline

Day 1: Event-Driven Architecture Fundamentals in Go

  • Introduction to EDA
    • Defining Event-Driven Architecture
    • Contrasting Monolithic, Microservices, and Event-Driven Systems
    • Why Go’s concurrency model and lightweight goroutines are well-suited for EDA
  • Core Concepts & Advantages
    • Achieving decoupling, scalability, and resilience in enterprise environments
    • Defining Events, Producers, Consumers, and Event Brokers
    • Real-world case studies illustrating Go’s role in high-performance event systems
  • CAP Theorem & EDA Trade-offs
    • Overview of Consistency, Availability, and Partition Tolerance
    • How EDA influences these properties
    • Strategies for balancing consistency and availability in Go-based systems

Day 2: Events, Messages, and Communication Patterns in Go

  • Types of Events
    • Distinguishing between Domain Events and Integration Events
    • Synchronous vs. Asynchronous events in Go applications
  • Practical Messaging Patterns
    • Implementing Publish-Subscribe (Pub/Sub) in Go
    • Designing and structuring event payloads using JSON, Protocol Buffers, or Avro in Go
  • Event Handling Implementation
    • Survey of popular Go libraries and frameworks for messaging
    • Code examples: Dispatching and processing events using idiomatic Go patterns
    • Practical session: Building a simple event-driven service in Go

Day 3: Messaging Systems & Event Brokers with Go

  • Selecting & Integrating Event Brokers
    • Overview of leading brokers: Apache Kafka, RabbitMQ, and NATS
    • Comparing use cases and best practices for Go-based systems
  • Messaging Infrastructure Setup
    • Docker Compose configuration for Kafka, RabbitMQ, or NATS
    • Configuring topics, exchanges, queues, and channels
    • Overview of Go client libraries
  • Hands-On Workshop
    • Developing a sample Go microservice that produces and consumes events
    • Integrating the service with the selected event broker
    • Debugging and testing event flows

Day 4: Deployment, Monitoring, & Advanced Go EDA Topics

  • Deploying Go EDA Applications on Kubernetes
    • Containerizing Go applications for production environments
    • Deploying Kafka (or other brokers) on Kubernetes clusters
    • Introduction to KEDA (Kubernetes Event-Driven Autoscaling) for scaling event consumers
  • Error Handling & Monitoring
    • Managing event failures using robust strategies
    • Implementing observability in Go services
  • Advanced Topics & Q&A
    • Exploring Serverless Event-Driven Architectures with Go
    • Event Choreography vs. Orchestration: Use cases and design considerations
    • Common pitfalls, lessons learned, and industry best practices
    • Open Q&A session and interactive troubleshooting

Requirements

  • Proficiency in Go (Golang), with specific experience in using goroutines and channels
  • Foundational understanding of software architecture models, including monoliths and microservices
  • Familiarity with Docker and Docker Compose
  • Basic knowledge of REST APIs and core networking concepts
  • Experience with command-line tools and Git
  • Recommended: Prior exposure to Kubernetes and messaging systems like Kafka, RabbitMQ, or NATS

Target Audience

  • Go developers focused on creating scalable, event-driven applications
  • Software engineers moving from monolithic or REST-based architectures to asynchronous systems
  • DevOps and cloud engineers managing containerized or distributed microservices
  • Technical architects and system designers exploring EDA patterns with Go
 28 Hours

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