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Site Reliability Engineering (SRE) tools: capacity planning + incident response dashboard

Why Choose This Project?

Modern cloud applications require high availability, scalability, and rapid incident resolution. SRE tools help teams proactively plan resource capacity to handle traffic spikes and respond quickly to incidents to minimize downtime. This project teaches students how to monitor system performance, forecast resource needs, and manage operational incidents efficiently.

What You Get

Real-time system metrics and dashboards for capacity planning
Incident tracking and response dashboard
Automated alerts for performance degradation or failures
Resource utilization trends and forecasting
Historical reporting for capacity and incident analysis
Integration with cloud monitoring and ticketing systems

Key Features

Feature Description
Capacity Planning Analyze CPU, memory, storage, and network usage to forecast future resource needs.
Real-Time Monitoring Visualize system health metrics for multiple services and clusters.
Incident Management Track incidents, response times, and resolution status on a central dashboard.
Automated Alerts Trigger notifications for threshold breaches, errors, or anomalies.
Historical Reporting Generate reports for capacity trends and incident history.
Cloud Integration Connect with AWS CloudWatch, Azure Monitor, GCP Monitoring, or Kubernetes metrics.
Resource Optimization Identify underutilized or overprovisioned resources for cost savings.

Technology Stack

Monitoring & Data Collection:

  • Prometheus / Grafana for metrics

  • CloudWatch / Azure Monitor / GCP Monitoring

Incident Management:

  • PagerDuty / Opsgenie / Custom dashboard

Backend & API Layer:

  • Node.js / Python Flask / Django

Frontend Layer:

  • HTML5, CSS3, Bootstrap 5, JavaScript

  • Dashboards using Grafana or custom charts (Chart.js / ApexCharts)

CI/CD Integration (Optional):

  • Jenkins / GitLab CI / GitHub Actions

Cloud Services Used

  • AWS / Azure / GCP – Monitor and collect metrics from cloud resources

  • Cloud Storage – Store historical metrics and incident logs

  • Grafana / Prometheus – Visualization and monitoring

  • PagerDuty / Opsgenie – Alerting and incident management

Working Flow

  1. Data Collection – Collect system metrics (CPU, memory, disk, network) from cloud instances, containers, and services.

  2. Metrics Aggregation – Store metrics in Prometheus or cloud monitoring services.

  3. Capacity Analysis – Analyze trends and forecast future resource requirements.

  4. Incident Detection – Trigger alerts when metrics breach thresholds or anomalies occur.

  5. Dashboard Visualization – Display metrics, capacity forecasts, and incidents in a real-time dashboard.

  6. Incident Management – Track open incidents, assign responders, and log resolution steps.

  7. Reporting – Generate historical reports for capacity usage, incident response, and SLA compliance.

Main Modules

  • Monitoring Module – Collects and aggregates system metrics

  • Capacity Planning Module – Analyzes trends and forecasts resource needs

  • Incident Management Module – Logs incidents, assigns responses, and tracks resolution

  • Alerting Module – Sends notifications for threshold breaches or anomalies

  • Dashboard Module – Visualizes metrics, forecasts, and incident data

  • Reporting Module – Generates historical and analytical reports

Security Features

  • Role-based access control for dashboard and incident management

  • Encrypted data storage for metrics and logs

  • Secure API communication (TLS/SSL) between monitoring agents and dashboard

  • Audit logging for all incident responses and system changes

This Course Fee:

₹ 3299 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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