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This project implements monitoring and observability for cloud and Kubernetes workloads using modern monitoring tools. It enables proactive detection of issues and faster root cause analysis.

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Infrastructure and Application Monitoring

Overview

This project implements monitoring and observability for cloud and Kubernetes workloads using modern monitoring tools.

It enables proactive detection of issues and faster root cause analysis.

Monitoring Stack

  • Datadog / Prometheus
  • Grafana
  • Alertmanager (if applicable)

Metrics Monitored

  • CPU and Memory usage
  • Disk and Network metrics
  • Pod and Node health
  • Application response time
  • Error rates

Components

  • Monitoring agents
  • Dashboards
  • Alerts and notifications

Setup Steps

  1. Install monitoring agent on nodes
  2. Configure metrics collection
  3. Import dashboards
  4. Create alerts for thresholds

Example Alerts

  • High CPU usage
  • Pod restart count
  • Disk space threshold
  • Application downtime

Benefits

  • Real-time visibility
  • Proactive incident response
  • Reduced downtime
  • Improved system reliability

Outcome

Complete observability for infrastructure and applications in production environments.

Monitoring Grafana Datadog

About

This project implements monitoring and observability for cloud and Kubernetes workloads using modern monitoring tools. It enables proactive detection of issues and faster root cause analysis.

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