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Course Outline
Introduction to Kuma and Kubernetes Integration
- Overview of Kuma service mesh and its role in Kubernetes
- Kuma: Overview of features and architecture
- Understanding the benefits of integrating Kuma with Kubernetes
- Comparison of different service mesh solutions in the Kubernetes ecosystem
- Understanding the need for a service mesh in modern microservices architecture
- Installing Kuma on Kubernetes clusters
- Exploring the control plane and data plane components of Kuma
Deploying and Configuring Kuma in Kubernetes
- Installing Kuma control plane components within Kubernetes clusters
- Deploying Kuma data plane proxies alongside Kubernetes pods
- Integrating with the Kubernetes API server and synchronizing the control plane
- Validating and testing Kuma deployment within Kubernetes environments
- Configuring service discovery using Kuma's service catalog
- Implementing traffic routing policies using Kuma's traffic routing resources
- Practical exercises: Configuring traffic routing for various deployment scenarios
- Traffic load balancing strategies in Kuma: Layer 4 and Layer 7 load balancing
Advanced Traffic Management with Kuma
- Deep dive into Kuma's traffic policies
- Traffic routing techniques, splitting, and shaping in Kuma
- Weighted routing, fault injection, and circuit breaking
- Canary and blue-green deployments with Kuma in Kubernetes
Traffic Observability and Security with Kuma
- Implementing telemetry and observability features with Kuma data plane proxies
- Introduction to Kuma's traffic metrics, tracing, and logging capabilities
- Service-to-service communication security with mTLS encryption
- Applying traffic policies and access control using Kuma's traffic policies
Enhancing Security with Kuma in Kubernetes
- Implementing mutual TLS (mTLS) authentication between services
- Role-based access control (RBAC) policies for detailed access management
- Data encryption and protection within the Kuma service mesh in Kubernetes clusters
Observability and Monitoring with Kuma
- Using Prometheus and Grafana for monitoring Kuma metrics
- Logging and tracing with Kuma for improved observability
- Troubleshooting and debugging Kuma deployments in Kubernetes environments
Multi-Cluster Deployment Strategies
- Federated service mesh architecture with Kuma across multiple Kubernetes clusters
- Replicating and synchronizing the service mesh across clusters
- Disaster recovery planning and high availability considerations with Kuma in multi-cluster environments
Performance Optimization and Scalability of Kuma in Kubernetes
- Optimizing Kuma control plane and data plane components for performance
- Scaling Kuma deployments in Kubernetes clusters
- Load balancing and performance optimization strategies for the Kuma service mesh
Advanced Topics and Best Practices
- Implementing fault injection and circuit breaking for resilience testing
- Advanced traffic routing techniques: Traffic shifting and mirroring
- Integrating Kuma with external service meshes (e.g., Istio, Linkerd)
- Best practices for deploying and managing Kuma in production environments
- Troubleshooting common issues and debugging techniques
Practical Labs:
- Configuring Kubernetes clusters for Kuma deployment
- Deploying microservices applications with advanced traffic management policies
- Implementing security measures with mTLS and RBAC
- Monitoring Kuma deployments using Prometheus and Grafana
- Multi-cluster deployment scenario and disaster recovery testing
- Performance optimization and scalability exercises for Kuma in Kubernetes
Final Project and Exam (Optional)
- Final project: Designing and implementing a service mesh architecture using Kuma for a sample microservices application
- NobleProg certification exam: Evaluating participants' understanding of Kuma concepts, configuration, and best practices
Requirements
- Previous experience with Kubernetes fundamentals and containerization concepts
- Proficiency in using the Linux command-line interface
- Knowledge of containerization technologies (Docker, container runtimes)
- Understanding of networking fundamentals
- Familiarity with networking principles and service mesh concepts is useful but not essential
Audience
- DevOps Engineers
- Kubernetes Administrators
- Software Developers
- System Architects
35 Hours
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.
