Course Outline

Microservices Architecture

  • Fundamental principles of microservices for government
  • Core components and service design in a government context
  • Common microservices patterns applicable to public sector workflows
  • Inter-service communication strategies for enhanced governance and accountability
  • Handling distributed transactions in microservices for secure and reliable operations
  • Security considerations in microservices architecture to ensure data integrity and confidentiality
  • Orchestration and service discovery methods tailored for government environments
  • Containerization of microservices to improve deployment efficiency and consistency
  • Monitoring and observability practices to support proactive maintenance and compliance
  • Introduction to Serverless and Event Sourcing for streamlined and scalable solutions

Container-Based Application Architecture

  • Introduction to containerization concepts for government applications
  • Working with Docker: container creation and management for enhanced security and performance
  • Design principles for containerized applications aligned with public sector standards
  • Fundamentals of Kubernetes and container orchestration for robust and scalable deployments
  • Networking in containerized environments to ensure secure and efficient communication
  • Security best practices for containers to protect sensitive government data
  • Using Service Mesh for microservices communication to enhance reliability and manageability
  • Load balancing and scaling strategies to optimize resource utilization
  • Distributed tracing and metrics collection for comprehensive monitoring and analysis
  • Infrastructure as Code (IaC) for container deployment to automate and standardize processes
  • Setting up a container deployment platform to support continuous integration and delivery

CI/CD Deployment

  • Key concepts of CI/CD pipelines for government projects
  • Tools and technologies for CI/CD automation to streamline development processes
  • Automating builds and versioning to ensure consistency and traceability
  • Automated testing strategies in CI/CD to enhance quality assurance
  • Deployment automation and release strategies to minimize downtime and risk
  • Using Infrastructure as Code (IaC) in deployments for government applications
  • Deployment patterns: Blue-Green, Canary, and Rolling updates to support smooth transitions
  • Integrating security into DevOps (DevSecOps) to ensure compliance and data protection

ABC (Advanced Best Practices & Considerations)

  • Best practices for resilient architecture in government systems
  • Performance optimization and scalability considerations for efficient resource management
  • Disaster recovery planning for microservices and containers to ensure business continuity

Summary and Next Steps

Requirements

  • Basic knowledge of software development for government
  • Understanding of cloud computing concepts
  • Familiarity with Linux command-line usage

Audience

  • Software Developers
  • DevOps Engineers
  • Cloud Architects
  • System Administrators
 21 Hours

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