Cloud-Native Microservices: From Domain to Production Training Course

Part I: Domain Modeling and Design for Government

• Principles of Domain-Driven Design for government operations

• Utilizing event storming to discover domains within public sector contexts

• Defining bounded contexts and context mapping for improved governance

• Establishing data ownership and adhering to the database-per-service principle in government systems

Part II: Contracts and Communication for Government

• Designing robust contracts for inter-service communication

• Implementing API versioning and evolution strategies to ensure compatibility and scalability

• Exploring synchronous communication patterns for efficient service interactions

• Utilizing asynchronous communication patterns to enhance system resilience and performance

Part III: Building Microservices for Government

• Implementing clean architecture structures for modular and maintainable microservices

• Managing dependencies and addressing security considerations in government applications

• Introduction to Dapr (Distributed Application Runtime) for enhancing microservice capabilities

• Facilitating secure service-to-service communication within government environments

• Managing state effectively in distributed systems for government use cases

• Implementing pub/sub messaging patterns to support real-time data exchange

• Managing secrets and configurations securely in government applications

• Enhancing observability through built-in telemetry for improved system monitoring

Part IV: Testing Strategies for Government

• Conducting heartbeat tests to ensure service availability and performance

• Implementing end-to-end testing to validate system integrations

• Performing service-level testing to verify individual component functionality

Part V: Infrastructure for Government

• Utilizing Infrastructure as Code (Bicep) for consistent and automated deployment of government resources

• Leveraging containers and orchestration tools (Kubernetes / Azure Container Apps) to manage government applications

• Developing infrastructure pipelines for efficient deployment processes in the public sector

• Selecting and configuring storage and database services for government data management

Part VI: Deployment for Government

• Establishing CI/CD pipelines to automate the deployment of government applications

• Implementing deployment rings to manage phased rollouts and minimize disruptions

• Using feature flags to control the release of new features in a controlled manner

Part VII: Observability for Government

• Centralizing logging to aggregate and analyze system events across government services

• Implementing distributed tracing to track transactions and identify performance bottlenecks

• Creating metrics and dashboards for real-time monitoring of government systems

• Setting up monitoring and alerting mechanisms to proactively address issues in government applications

Part VIII: Resilience and Disaster Recovery for Government

• Implementing health probes and readiness checks to ensure service reliability

• Developing strategies to handle compute failures in government systems

• Establishing infrastructure failure strategies to maintain continuity of operations

• Implementing service-level failure handling to ensure robustness and reliability in government applications