Kuma Kubernetes ( kumakbn | 35 hours )

• Previous experience with the fundamentals of Kubernetes and containerization concepts
• Proficiency in using the command line interface of Linux
• Knowledge of containerization technologies (Docker, container runtime)
• Knowledge of the fundamentals of networks
• Knowledge of networking principles and service mesh concepts is helpful but not essential

Audience

• Engineers DevOps
• Administrators Kubernetes
• Software developers
• System architects

Course Overview: 

Implementing and Managing Kuma Service Mesh on Kubernetes

Course Description: This professional course equips participants with the essential knowledge and skills required to implement, manage, and scale the Kuma service mesh within Kubernetes environments. Participants will learn advanced techniques for traffic routing, observability, and security, enabling them to enhance the performance and reliability of their microservices-based applications.

Course Objectives:

1. Understand the fundamentals of service mesh architecture and its role in Kubernetes environments.
2. Learn how to deploy and configure Kuma service mesh within Kubernetes clusters.
3. Explore advanced traffic routing techniques using Kuma's traffic policies.
4. Implement observability features such as metrics, logging, and tracing to gain insights into service communication.
5. Enhance security within microservices environments using Kuma's mTLS encryption and access control capabilities.
6. Gain proficiency in managing and scaling Kuma service mesh deployments to support growing application workloads.
7. Learn best practices for troubleshooting and optimizing Kuma service mesh configurations.

Format of the Course

• Instructor-led training sessions
• Practical workshops and exercises via DaDesktop
• Interactive discussions
• Course materials and resources

Course Customization Options

Note: The course outline is flexible and can be adapted to meet specific participant requirements and objectives.

Introduction to Kuma Integration and Kubernetes

• Overview of Kuma service mesh and its role in Kubernetes
• Kuma: Features and architecture overview
• Understanding the Benefits of Integrating Kuma with Kubernetes
• Comparison of different service mesh solutions in the ecosystem Kubernetes
• Understanding the need for a service mesh in modern microservices architecture
• Installing Kuma on clusters Kubernetes
• Exploring Kuma's control plane and data plane components

Deployment and Configuration of Kuma in Kubernetes

• Installing Kuma Control Panel components within clusters Kubernetes
• Deploying Kuma data plane proxies alongside pods Kubernetes
• Integration with Kubernetes API server and control panel synchronization
• Validating and testing Kuma deployment within environments Kubernetes

Service Discovery and Traffic Routing with Kuma

• Configuring service discovery with the Kuma 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

• Insight into Kuma's traffic policies
• Kuma traffic routing, splitting and shaping techniques
• Weighted routing, fault injection and circuit breaking
• Canary and blue-green distributions with Kuma in Kubernetes

Traffic Observability and Security with Kuma

• Implementing telemetry and observability features with Kuma data plane proxies
• Introducing Kuma's traffic metrics, tracking and logging capabilities
• Secure service-to-service communication with mTLS encryption
• Traffic policy enforcement and access control with Kuma Traffic Policies

Enhanced Security with Kuma in Kubernetes

• Implementation of mutual TLS (mTLS) authentication between services
• Role-based access control (RBAC) policies for fine-grained access control
• Encryption and data protection in the Kuma service mesh within clusters Kubernetes

Observability and Monitoring with Kuma

• Using Prometheus and Grafana to monitor Kuma metrics
• Logging and tracking with Kuma for improved observability
• Troubleshooting and debugging Kuma deployments in environments Kubernetes

Multi-Cluster Distribution Strategies

• Federated service mesh architecture with Kuma across multiple clusters Kubernetes.
• Service mesh replication and synchronization across clusters
• Disaster recovery planning and high availability considerations with Kuma in multi-cluster environments

Performance Optimization and ScalaKuma's abilities in Kubernetes

• Optimized Kuma control panel and data plane components for performance
• Scalaability of Kuma distributions in clusters Kubernetes
• Load balancing and performance tuning strategies for Kuma service mesh

Advanced Topics and Best Practices

• Implementation of failure injection and circuit breaking for resilience testing
• Advanced traffic routing techniques: traffic shifting and mirroring
• Kuma integration with external service meshes (e.g. Istio, Linkerd)
• Best practices for deploying and managing Kuma in production environments
• Troubleshooting common problems and debugging techniques

Practical laboratories:

• Configuring clusters Kubernetes for Kuma deployment
• Deploy microservice applications with advanced traffic management policies
• Implementation of security measures with mTLS and RBAC
• Tracking Kuma Deployments Using Prometheus and Grafana
• Multi-cluster deployment scenario and disaster recovery testing
• Performance tuning and scaling exercises for Kuma in Kubernetes

Project and Final Exam (Optional)

• Wrapping Up Project: Design and implementation of a service mesh architecture using Kuma for a sample microservices application
• NobleProg Certification Exam: Evaluates participants' understanding of Kuma concepts, configuration, and best practices