Course Outline
Introduction to Kuma and Kubernetes Integration
- Overview of Kuma service mesh and its role in Kubernetes
- Kuma: Feature and Architecture Overview
- Understanding the benefits of integrating Kuma with Kubernetes
- Comparing various service mesh solutions in the Kubernetes ecosystem
- Understanding the need for a service mesh in modern microservices architecture
- Installing Kuma on Kubernetes clusters
- Exploring Kuma's control plane and data plane components
Deploying and Configuring Kuma in Kubernetes
- Installing Kuma control plane components within Kubernetes clusters
- Deploying Kuma data plane proxies alongside Kubernetes pods
- Integration with the Kubernetes API server and control plane synchronization
- Validating and testing the Kuma deployment within Kubernetes environments
Service Discovery and Traffic Routing with Kuma
- Configuring service discovery with Kuma's service catalog
- Implementing traffic routing policies using Kuma traffic routing resources
- Hands-on exercises: Configuring traffic routing for various deployment scenarios
- Load balancing strategies in Kuma: Layer 4 and Layer 7 load balancing
Advanced Traffic Management with Kuma
- Diving deeper into Kuma traffic policies
- Traffic routing, splitting, and shaping techniques 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
- Securing service-to-service communication with mTLS encryption
- Applying traffic and access control policies with Kuma traffic policies
Enhancing Security with Kuma in Kubernetes
- Implementing mutual TLS (mTLS) authentication between services
- Role-Based Access Control (RBAC) policies for detailed access control
- Data encryption and protection within the Kuma service mesh in Kubernetes clusters
Observability and Monitoring with Kuma
- Using Prometheus and Grafana to monitor 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
- Replication and synchronization of 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 within Kubernetes clusters
- Load balancing strategies and performance optimization 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
Hands-on 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 Examination (Optional)
- Capstone Project: Designing and implementing a service mesh architecture using Kuma for a sample microservices application
- NobleProg Certification Exam: Assessing 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
- Familiarity with containerization technologies (Docker, container runtimes)
- Knowledge of networking fundamentals
- Familiarity with networking principles and service mesh concepts is beneficial but not mandatory
Audience
- DevOps Engineers
- Kubernetes Administrators
- Software Developers
- System Architects
Testimonials (3)
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and the patience from the trainer to answer to our questions.