Why Choose This Project

In modern microservices architectures, requests flow across multiple services, making it difficult to track performance bottlenecks or errors.
This project helps you visualize end-to-end request flows, trace latency issues, and monitor health using Jaeger for distributed tracing and Prometheus for metrics collection and monitoring.
It’s an ideal project to learn observability, monitoring, and troubleshooting in cloud-native systems.

What You Get

• A complete observability setup combining tracing + monitoring.

• Insights into how requests move across microservices.

• Real-time performance dashboards and alerts.

• Hands-on with Jaeger UI (tracing) and Grafana + Prometheus (metrics/alerts).

• Deployment using Docker Compose or Kubernetes.

Key Features

Technology Stack

• Backend Services: Node.js / Spring Boot (sample microservices)

• Tracing: Jaeger (OpenTelemetry integration)

• Monitoring: Prometheus

• Visualization: Grafana

• Deployment: Docker Compose / Kubernetes

• Cloud Option: AWS EKS, GCP GKE, or Azure AKS

Cloud Services Used

• AWS CloudWatch / GCP Stackdriver / Azure Monitor → optional integration with Prometheus

• Kubernetes (EKS/GKE/AKS) → orchestration for microservices and observability stack

• Cloud Storage (S3/GCS/Azure Blob) → store logs and traces if needed

Working Flow

1. Request Initiation → A client request enters the microservices system.

2. Tracing Injection → OpenTelemetry libraries add trace IDs and spans.

3. Jaeger Collector → Collects traces and stores them in a backend (e.g., Elasticsearch or in-memory).

4. Prometheus Scraping → Prometheus scrapes metrics from services and Jaeger itself.

5. Visualization → Grafana displays both Jaeger traces and Prometheus metrics in dashboards.

6. Alerts → Alerts are triggered if latency, error rate, or CPU usage crosses thresholds.

Main Modules

1. Tracing Module – OpenTelemetry integration with microservices

2. Jaeger Backend – Collector, Query, and UI for tracing

3. Prometheus Server – Metric collection and scraping

4. Grafana Dashboards – Unified observability visualization

5. Alerting Module – Define rules for anomalies

Security Features

• TLS encryption for Prometheus and Jaeger endpoints

• Authentication (OAuth/LDAP) for Grafana dashboards

• Role-based access control (RBAC) in Kubernetes for observability components

• Audit logs for trace queries