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Course Outline

Introduction to Service Mesh Concepts

  • The challenges associated with managing microservices at scale.
  • How service meshes address common architectural problems.
  • Comparison of Istio with alternative service meshes such as Linkerd and Consul.

Fundamentals of Kubernetes Networking

  • The core networking model in Kubernetes.
  • Understanding Services, Ingress, and load balancing mechanisms.
  • Limitations inherent to native Kubernetes networking.

Istio Architecture and Key Features

  • Distinction between the control plane and data plane.
  • The function of Envoy sidecars.
  • Overview of key Istio components: Pilot, Citadel, Mixer (legacy), and Istiod.

Installing Istio on Kubernetes

  • Preparing a Kubernetes cluster for Istio deployment.
  • Installing Istio using Helm and Istioctl.
  • Validating the installation and sidecar injection.

Managing Traffic with Istio

  • Setting up routing, retries, and failover mechanisms.
  • Implementing Blue/Green and canary deployment strategies.
  • Utilizing Istio Gateway for ingress traffic control.

Securing Service Meshes with Istio

  • Implementing Mutual TLS (mTLS) for inter-service authentication.
  • Configuring authorization policies (RBAC and ABAC).
  • Applying Zero Trust architecture principles within Istio.

Observability and Monitoring Strategies

  • Integrating Prometheus and Grafana with Istio.
  • Performing distributed tracing using Jaeger and Zipkin.
  • Analyzing metrics, logs, and trace data.

Integrating Istio with Calico

  • Enforcing advanced network policies.
  • Securing pod-to-pod communications.
  • Best practices for deploying Istio alongside Calico.

Troubleshooting and Operational Best Practices

  • Addressing common issues in Istio deployments.
  • Debugging sidecar proxy behavior.
  • Applying operational best practices for production-grade service meshes.

Conclusion and Future Steps

Requirements

  • A solid grasp of networking fundamentals.
  • Familiarity with the Linux command line.
  • Proficiency with containers and Kubernetes.

Audience

  • Software Developers.
  • Cloud Architects.
  • DevOps Engineers.
  • Network Engineers.
  • System Administrators.
 14 Hours

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