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 Duration 14 hours

Course Outline

Introduction to Service Mesh Technology

  • The challenges associated with managing microservices at scale
  • The specific problems a service mesh addresses
  • A comparative analysis of Istio against other service mesh solutions (Linkerd, Consul)

Fundamentals of Kubernetes Networking

  • The standard Kubernetes networking model
  • Services, Ingress controllers, and load balancing mechanisms
  • Constraints inherent in native Kubernetes networking

Istio Capabilities and Architectural Design

  • Distinction between the control plane and data plane
  • The function of Envoy sidecar proxies
  • Essential Istio components: Pilot, Citadel, Mixer (legacy), and Istiod

Deploying Istio on Kubernetes

  • Preparing a Kubernetes cluster to support Istio
  • Executing Istio installation using Helm and Istioctl
  • Confirming installation success and sidecar injection

Managing Traffic with Istio

  • Setting up routing rules, retries, and failover strategies
  • Implementing Blue/green and canary release strategies
  • Leveraging Istio Gateway for inbound traffic management

Securing the Service Mesh with Istio

  • Applying Mutual TLS (mTLS) for inter-service authentication
  • Defining authorization policies using RBAC and ABAC
  • Integrating Zero Trust architecture principles within Istio

Observability and Monitoring Strategies

  • Utilizing Prometheus and Grafana alongside Istio
  • Performing distributed tracing with Jaeger and Zipkin
  • Interpreting metrics, logs, and trace data

Combining Istio with Calico

  • Enforcing advanced network policies
  • Protecting pod-to-pod data flows
  • Recommended best practices for Istio and Calico integrations

Troubleshooting Techniques and Best Practices

  • Identifying frequent issues in Istio implementations
  • Diagnosing problems with sidecar proxies
  • Operational guidelines for maintaining production service meshes

Course Conclusion and Future Directions

Requirements

  • Familiarity with fundamental networking concepts
  • Proficiency in using the Linux command line
  • Solid knowledge of containers and Kubernetes

Target Audience

  • Software Developers
  • Cloud Architects
  • DevOps Engineers
  • Network Engineers
  • System Administrators

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