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Why Choose This Project?

Modern distributed systems and microservices generate complex telemetry data (logs, metrics, traces) that is difficult to monitor manually. Using OpenTelemetry, this project demonstrates end-to-end observability, enabling developers and DevOps teams to collect, process, and visualize telemetry data for performance analysis, troubleshooting, and optimization.

What You Get

Centralized collection of logs, metrics, and traces from multiple services
Visualization dashboards for monitoring system health
Alerts on performance degradation or anomalies
Integration with cloud-native services and monitoring tools
Detailed service-level insights for debugging and optimization

Key Features

Feature	Description
Unified Telemetry	Collect logs, metrics, and traces across microservices using OpenTelemetry SDK.
Distributed Tracing	Track requests across services to detect bottlenecks and latency issues.
Metrics Collection	Gather CPU, memory, latency, and request metrics in real-time.
Centralized Logging	Aggregate service logs for easier debugging and auditing.
Visualization	Integrate with Grafana, Prometheus, or Jaeger dashboards for insights.
Alerts & Notifications	Trigger alerts on anomalies or threshold violations.
Cloud-Native Integration	Works with AWS CloudWatch, Azure Monitor, GCP Monitoring, or Kubernetes clusters.

Technology Stack

Instrumentation & Collection:

OpenTelemetry SDK / Collector

Infrastructure Layer:

Kubernetes clusters or cloud VMs (AWS EC2, Azure VM, GCP Compute Engine)

Monitoring & Visualization:

Prometheus for metrics
Grafana for dashboards
Jaeger for distributed tracing
Loki or ELK stack for centralized logging

CI/CD Integration (Optional):

Jenkins / GitLab CI / GitHub Actions

Cloud Services Used

AWS / Azure / GCP Monitoring Services – Collect metrics and logs
Cloud Storage – Store telemetry data for historical analysis
Kubernetes / ECS / AKS / GKE – Host microservices for observability
Grafana / Jaeger / Prometheus – Visualization and tracing

Working Flow

Instrument Services – Add OpenTelemetry SDK to microservices for logging, metrics, and tracing.
Data Collection – OpenTelemetry Collector gathers telemetry from all services.
Export & Storage – Collected data is sent to backends like Prometheus, Jaeger, or cloud monitoring services.
Visualization – Dashboards display metrics, traces, and logs for observability.
Alerts – Configure threshold-based or anomaly-based alerts for system issues.
Analysis & Optimization – Use dashboards and traces to identify bottlenecks, failures, or inefficient services.

Main Modules

Instrumentation Module – SDK integration for services
Telemetry Collector Module – Aggregates logs, metrics, and traces
Backend Storage Module – Stores telemetry data in Prometheus, Jaeger, or cloud DB
Visualization Module – Dashboards in Grafana or Jaeger
Alerting Module – Notifications on anomalies or thresholds
Analysis Module – Service-level and request-level insights