Course Outline

Day 1: Foundations of Event-Driven Architecture in Go for Government

  • Introduction to EDA
    • What is Event-Driven Architecture?
    • Comparing Monolithic, Microservices, and Event-Driven Systems
    • How Go’s concurrency model and lightweight goroutines make it ideal for EDA in government applications
  • Core Concepts & Benefits
    • Decoupling, scalability, and resilience in enterprise systems for government operations
    • Defining Events, Producers, Consumers, and Event Brokers
    • Real-world examples and case studies where Go powers high-performance event systems for government agencies
  • CAP Theorem & Trade-offs in EDA
    • Overview of Consistency, Availability, and Partition Tolerance
    • Impact of EDA on these properties in the context of government systems
    • Strategies for balancing consistency and availability in Go-based systems for government use

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

  • Understanding Event Types
    • Domain Events vs. Integration Events
    • Synchronous vs. Asynchronous events in Go applications for government services
  • Messaging Patterns in Practice
    • Publish-Subscribe (Pub/Sub) in Go for government systems
    • How to design and structure event payloads using JSON, Protocol Buffers, or Avro in Go for government applications
  • Implementing Event Handling in Go for Government
    • Overview of popular Go libraries and frameworks for messaging suitable for government use
    • Code examples: dispatching and processing events using idiomatic Go patterns in government projects
    • Hands-on session: Building a simple event-driven service in Go for government applications

Day 3: Messaging Systems & Event Brokers with Go for Government

  • Selecting and Integrating Event Brokers
    • Overview of popular brokers: Apache Kafka, RabbitMQ, and NATS suitable for government use
    • Comparison of use cases and best practices for Go-based systems in the public sector
  • Setting Up Messaging Infrastructure for Government
    • Docker Compose setup for Kafka, RabbitMQ, or NATS tailored to government requirements
    • Configuring topics, exchanges, queues, and channels for government systems
    • Go client libraries overview suitable for government use
  • Hands-On Workshop for Government
    • Building a sample Go microservice that produces and consumes events for government operations
    • Integrating the service with the chosen event broker for government systems
    • Debugging and testing event flows in government applications

Day 4: Deploying, Monitoring, and Advanced Topics in Go EDA for Government

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

Requirements

  • Proficiency in Go (Golang), including the use of goroutines and channels for government applications.
  • Basic understanding of software architecture models, such as monolithic and microservices designs.
  • Familiarity with Docker and Docker Compose to support containerization efforts for government projects.
  • Fundamental knowledge of REST APIs and networking concepts to ensure secure and efficient data exchange.
  • Experience with command-line tools and Git to facilitate version control and collaboration in development environments.
  • Optional but beneficial: prior exposure to Kubernetes and messaging systems like Kafka, RabbitMQ, or NATS for enhanced system integration and scalability.

Audience

  • Go developers building scalable, event-driven applications for government use.
  • Software engineers transitioning from monolithic or REST-based architectures to asynchronous systems for improved performance and flexibility.
  • DevOps and cloud engineers working with containerized or distributed microservices to support robust government IT infrastructures.
  • Technical architects and system designers exploring Event-Driven Architecture (EDA) patterns using Go to enhance operational efficiency and responsiveness.
 28 Hours

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