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
 35 Hours

Number of participants


Price per participant

Testimonials (5)

Upcoming Courses

Related Categories