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Course Outline
Introduction to Envoy Proxy
- Role of Envoy in modern infrastructures for government
- Comparison of Envoy Proxy with NGINX, HAProxy, and Traefik
- Adoption in Istio, Consul, and cloud-native platforms for government
Envoy Architecture and Features
- Listeners, clusters, and endpoints for efficient data flow management
- Filter chains and extensibility to support diverse requirements
- xDS APIs for dynamic configuration and adaptability
Installing and Running Envoy
- Standalone installation for government systems
- Running Envoy in Docker and Kubernetes environments for government
- Basic configuration walkthrough to ensure proper setup
Traffic Management with Envoy
- Load balancing strategies to optimize performance
- Retries, circuit breaking, and failover mechanisms for reliability
- Advanced routing rules and header-based routing for precise control
Security and Zero Trust with Envoy
- TLS and mutual TLS (mTLS) setup for secure communications
- Authentication and authorization filters to enhance security
- Implementing Zero Trust networking principles with Envoy
Observability and Monitoring
- Access logs and metrics for comprehensive monitoring
- Tracing with Jaeger and Zipkin to track requests
- Integrating Envoy with Prometheus and Grafana for robust observability
Extending Envoy
- Introduction to WASM filters for enhanced functionality
- Custom extensions for Envoy to meet specific needs
- Best practices for maintainability and scalability
Envoy in a Service Mesh
- Using Envoy as a sidecar proxy for microservices communication
- Envoy's role in Istio and Consul service meshes for government
- Case study: Envoy as a universal data plane for seamless integration
Troubleshooting and Best Practices
- Debugging configuration issues to ensure smooth operation
- Health checks and resilience testing for reliability
- Operational guidelines for production environments in government
Summary and Next Steps
Requirements
- A foundational knowledge of microservices development and networking for government projects.
- Experience with the Linux command line environment.
- Familiarity with container technologies and orchestration tools, such as Kubernetes, is advantageous.
Audience
- Developers
- Cloud Architects
- DevOps Engineers
- Network Engineers
- System Administrators
14 Hours