Microservices Latency Tracking and Network Monitoring

Introduction

• Presenter: Muhammad Asim, DevOps Engineer
• Objective: Setup latency tracking and network monitoring for a microservices application.
• Sample Application: Fman application

Overview of the Setup

• Link to Application: Provided via GitHub
• **Initial Setup: **Example application showing how microservices communicate with each other.
• Focus: Setting up latency and network route monitoring (network diagram and workflow)

DevOps Setup Steps

1. **E Cluster Setup: **Created repo for demonstration
2. VPC Setup: Established Virtual Private Cloud (VPC) and Cluster
3. ELB Controller: Setup for traffic routing on HTTPS
4. ALB Setup: Application Load Balancer, Ingress controller setup

Monitoring and Traffic Routing

• Target Group: Healthy targets, routing traffic correctly
• Application Deployment: Several deployments and services in place
• Objective: Monitor link, latency, and traffic between microservices

Hands-on Demonstration

Initial Steps

• Download Command: Obtain the .zip file
• Execution: Use an interactive shell in a container
• Mount and Extract: Mounted on /mnt, extract and navigate into the directory

Setting Up Monitoring Tools

• Tools: Jager, Grafana, Prometheus
• Adding Repo: Helm repo addition and update
• Installing Base: Helm command to install base charts (without full Istio setup)
• Monitoring Setup: Helm releases to deploy Grafana and other tools

Labelling and Namespace Setup

• Labelling: Add injection label to namespace
• Sidecar Injection: Adds Istio proxy as a sidecar
• Restart Deployments: Ensure the sidecar is injected into each pod

Observing Traffic Flow

• Port Forwarding: For accessing Grafana and Jager dashboards
• Namespace Monitoring: Application namespace labelling enables traffic and latency visibility
• Internal Real-time monitoring: Usage of MTLS (Mutual Transport Layer Security) inside the application namespace

Visualization and Analysis

• Grafana Dashboards: Real-time graphs and metrics for services
• Types of Graphs: App graph, Services graph, Workload graph
• Traffic and Dependency: Understanding of traffic flow and service health

Conclusion

• Advanced Monitoring: Set up basic monitoring; end-to-end encryption and advanced topics to be covered in future videos
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