Service Mesh Management with Istio

This project demonstrates automated service mesh deployment and monitoring using Istio, Kubernetes, and Splunk.

Project Overview

This project implements a service mesh architecture using Istio to manage microservices communication, implement traffic management, and provide observability.

Key Features

• Istio service mesh deployment with Envoy sidecars
• Traffic management (canary deployments, circuit breaking)
• Service visualization using Kiali
• Metrics collection and monitoring
• Automated reporting

Prerequisites

• Kubernetes cluster (v1.20+)
• kubectl CLI
• Istio CLI
• Splunk Enterprise (for log aggregation)
• Helm (for package management)

Project Structure

.
├── README.md
├── kubernetes/
│   ├── istio/           # Istio installation manifests
│   ├── services/        # Sample microservices
│   └── monitoring/      # Monitoring configurations
├── scripts/             # Automation scripts
└── docs/               # Additional documentation

Getting Started

1. Install Istio:

   istioctl install --set profile=demo

2. Deploy sample services:

   kubectl apply -f kubernetes/services/

3. Configure monitoring:

   kubectl apply -f kubernetes/monitoring/

4. Access Kiali dashboard:

   istioctl dashboard kiali

Traffic Management

The project includes configurations for:

• Canary deployments
• Circuit breaking
• Load balancing
• Traffic shifting

Monitoring and Observability

• Service metrics visualization through Kiali
• Distributed tracing with Jaeger
• Log aggregation with Splunk
• Automated reporting system

Contributing

Feel free to submit issues and enhancement requests!

License

This project is licensed under the MIT License - see the LICENSE file for details.