WA3625
Linkerd with EKS (Elastic Kubernetes Service) Training
This Linkerd with EKS course teaches learners how to install, configure, and integrate Linkerd with EKS. Learners gain practical experience deploying and managing Linkerd in an EKS environment, mastering microservices' observability, security, and reliability for enhanced application performance and resilience.
Course Details
Duration
2 days
Prerequisites
All participants must have taken Introduction to Docker and Kubernetes or have equivalent experience.
Skills Gained
- Understand the role of a service mesh in modern microservices architecture
- Deploy and configure Linkerd in an EKS environment
- Secure service-to-service communication using mTLS with Linkerd
- Leverage Linkerd's observability tools to monitor and debug microservices
- Optimize traffic management with features such as retries, timeouts, and traffic splitting
- Integrate Linkerd with third-party tools like Prometheus and Grafana for enhanced monitoring
- Troubleshoot common issues encountered with Linkerd in EKS
Course Outline
- Introduction to Service Mesh and Linkerd
- What is a service mesh?
- Linkerd vs other service meshes (Istio, Consul, etc.)
- Use cases and benefits of Linkerd
- Setting Up EKS
- Overview of EKS
- Configuring kubectl, AWS CLI and eksctl for EKS
- Installing Linkerd in EKS
- Pre-requisites for Linkerd installation
- Installing Linkerd CLI and validating the environment
- Deploying Linkerd control plane in EKS
- Installing and configuring Linkerd data plane on services
- Securing Communication with mTLS
- Introduction to mutual TLS (mTLS)
- Enabling and validating mTLS in Linkerd
- Verifying secure communication between services
- Observability with Linkerd
- Built-in observability features: Dashboard, CLI tools, and service tap
- Monitoring services and debugging issues with Linkerd
- Traffic Management
- Configuring retries and timeouts
- Traffic splitting for canary deployments
- Using Linkerd for blue-green deployments
- Integrating Third-Party Tools
- Setting up Prometheus and Grafana with Linkerd
- Visualizing metrics and creating dashboards
- Using Jaeger for distributed tracing with Linkerd
- Scaling and Optimizing Linkerd in EKS
- Best practices for running Linkerd in production
- Scaling the control and data planes
- Fine-tuning resource allocations for Linkerd
- Troubleshooting and Debugging
- Common issues with Linkerd in EKS and their solutions
- Debugging service failures and performance bottlenecks
- Conclusion