Course Outline
Introduction to Kuma Integration and Kubernetes
- Overview of the Kuma service mesh and its role in Kubernetes environments for government
- Kuma: Features and architecture overview
- Understanding the benefits of integrating Kuma with Kubernetes
- Comparison of different service mesh solutions within the Kubernetes ecosystem
- Exploring the necessity of a service mesh in modern microservices architectures for government operations
- Installing Kuma on Kubernetes clusters
- Examining Kuma's control plane and data plane components
Deployment and Configuration of Kuma in Kubernetes
- Installing Kuma Control Panel components within Kubernetes clusters for government use
- Deploying Kuma data plane proxies alongside Kubernetes pods
- Integrating with the Kubernetes API server and ensuring control panel synchronization
- Validating and testing Kuma deployment within Kubernetes environments for government operations
Service Discovery and Traffic Routing with Kuma
- Configuring service discovery using the Kuma Service Catalog
- Implementing traffic routing policies with Kuma's traffic routing resources
- Hands-on exercises: Configuring traffic routing for various deployment scenarios in government applications
- Exploring load balancing strategies in Kuma, including Layer 4 and Layer 7 load balancing
Advanced Traffic Management with Kuma
- Gaining insight into Kuma's traffic policies for enhanced management in government systems
- Utilizing Kuma's traffic routing, splitting, and shaping techniques for optimal performance
- Implementing weighted routing, fault injection, and circuit breaking in government applications
- Deploying canary and blue-green distributions with Kuma in Kubernetes environments for government use
Traffic Observability and Security with Kuma
- Implementing telemetry and observability features with Kuma data plane proxies for government operations
- Introducing Kuma's traffic metrics, tracking, and logging capabilities for enhanced visibility in government systems
- Ensuring secure service-to-service communication with mTLS encryption for government applications
- Enforcing traffic policy and access control with Kuma Traffic Policies in government environments
Enhanced Security with Kuma in Kubernetes
- Implementing mutual TLS (mTLS) authentication between services for secure communication in government systems
- Applying role-based access control (RBAC) policies for fine-grained access management in government applications
- Ensuring encryption and data protection within the Kuma service mesh in Kubernetes clusters for government use
Observability and Monitoring with Kuma
- Using Prometheus and Grafana to monitor Kuma metrics for government operations
- Logging and tracking with Kuma to improve observability in government applications
- Troubleshooting and debugging Kuma deployments in Kubernetes environments for government use
Multi-Cluster Distribution Strategies
- Federated service mesh architecture with Kuma across multiple Kubernetes clusters for government operations
- Service mesh replication and synchronization across clusters for enhanced reliability in government systems
- Disaster recovery planning and high availability considerations with Kuma in multi-cluster environments for government use
Performance Optimization and Scalability of Kuma in Kubernetes
- Optimizing Kuma control panel and data plane components for performance in government applications
- Scalability of Kuma distributions in Kubernetes clusters for government operations
- Implementing load balancing and performance tuning strategies for the Kuma service mesh in government environments
Advanced Topics and Best Practices
- Implementing failure injection and circuit breaking for resilience testing in government systems
- Exploring advanced traffic routing techniques, including traffic shifting and mirroring, for government applications
- Integrating Kuma with external service meshes (e.g., Istio, Linkerd) for enhanced functionality in government operations
- Best practices for deploying and managing Kuma in production environments for government use
- Troubleshooting common problems and debugging techniques for government applications
Practical Laboratories:
- Configuring Kubernetes clusters for Kuma deployment in government operations
- Deploying microservice applications with advanced traffic management policies in government systems
- Implementing security measures with mTLS and RBAC for government applications
- Tracking Kuma deployments using Prometheus and Grafana for enhanced visibility in government environments
- Executing multi-cluster deployment scenarios and disaster recovery testing for government operations
- Conducting performance tuning and scaling exercises for Kuma in Kubernetes clusters for government use
Project and Final Exam (Optional)
- Wrapping Up Project: Design and implementation of a service mesh architecture using Kuma for a sample microservices application for government operations
- Govtra Certification Exam: Evaluates participants' understanding of Kuma concepts, configuration, and best practices in government contexts
Requirements
- Prior experience with the foundational principles of Kubernetes and containerization concepts
- Proficiency in utilizing the Linux command line interface
- Familiarity with containerization technologies (such as Docker and container runtime)
- Understanding of basic network fundamentals
- Knowledge of networking principles and service mesh concepts is beneficial but not required
Audience for Government
- DevOps Engineers
- Kubernetes Administrators
- Software Developers
- System Architects
Testimonials (5)
he was patience and understood that we fall behind
Albertina - REGNOLOGY ROMANIA S.R.L.
Course - Deploying Kubernetes Applications with Helm
the technical preparation of teachers
Giorgio - Asystel-BDF S.p.A.
Course - Creating a Service Mesh with Istio and Kubernetes
The training was more practical
Siphokazi Biyana - Vodacom SA
Course - Kubernetes on AWS
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course - Kubernetes on Azure (AKS)
It gave a good grounding for Docker and Kubernetes.