The Problem: Cloud Security is Complex
Organizations using AWS, Azure, or GCP face a constant stream of security challenges:
- Misconfigured resources (the #1 cause of cloud breaches)
- Unauthorized access attempts
- Compliance violations (SOC 2, HIPAA, PCI DSS)
- Anomalous network traffic
I built CloudSecure to provide a single-pane-of-glass view of cloud security posture.
Architecture Overview
Frontend (React SPA)
↓ REST API calls
Dashboard Service
├── Threat Monitor (real-time alerts)
├── Compliance Checker (policy engine)
├── Incident Manager (workflow automation)
└── Analytics Engine (trend analysis)Key Features
1. Real-Time Threat Monitoring
The threat dashboard displays live security events with severity-based color coding:
const SEVERITY_COLORS = {
critical: 'bg-red-500',
high: 'bg-orange-500',
medium: 'bg-yellow-500',
low: 'bg-blue-500',
info: 'bg-gray-500',
}
function ThreatCard({ threat }) {
return (
<div className={`rounded-lg border p-4 ${SEVERITY_COLORS[threat.severity]}/10 border-${SEVERITY_COLORS[threat.severity]}/30`}>
<h3>{threat.title}</h3>
<p>{threat.description}</p>
<span className="text-xs">{threat.timestamp}</span>
</div>
)
}2. Compliance Dashboard
The compliance module tracks adherence to security frameworks:
| Framework | What We Track |
|---|---|
| SOC 2 | Access controls, encryption, monitoring |
| HIPAA | PHI protection, audit trails |
| PCI DSS | Cardholder data security |
| CIS Benchmarks | Infrastructure configuration |
Each framework has a compliance score (0-100%) calculated from individual control checks.
3. Incident Response Workflows
When a critical threat is detected, CloudSecure triggers automated response workflows:
- 1.Alert — Notification sent to security team
- 2.Triage — Auto-classify severity based on rules
- 3.Contain — Suggest containment actions
- 4.Investigate — Provide context and related events
- 5.Resolve — Track resolution and generate report
4. Analytics & Trends
The analytics engine provides:
- Threat volume trends (7/30/90 day views)
- Top attack vectors breakdown
- Geographic distribution of threats
- Mean time to detection (MTTD) and mean time to response (MTTR)
Design Decisions
Why React (Not Next.js)?
CloudSecure is a SPA dashboard, not a content site. It doesn't need:
- Server-side rendering (it's behind auth)
- SEO optimization (it's a private tool)
- Static generation (all data is dynamic)
A client-side React app with React Router was the right choice for this use case.
State Management
I used React Context + useReducer for global state instead of Redux:
const SecurityContext = createContext()
function securityReducer(state, action) {
switch (action.type) {
case 'SET_THREATS':
return { ...state, threats: action.payload }
case 'UPDATE_COMPLIANCE':
return { ...state, compliance: action.payload }
case 'ADD_INCIDENT':
return { ...state, incidents: [...state.incidents, action.payload] }
default:
return state
}
}Visualization
For charts and graphs, I used lightweight libraries:
- Recharts for line/bar charts (threat trends)
- Custom SVG for the compliance donut charts
- CSS animations for real-time activity indicators
Deployment
CloudSecure is deployed on Vercel at cloud-secure.vercel.app.
Key deployment considerations:
- Environment variables for API keys (never committed to Git)
- Edge functions for API proxying
- Automatic HTTPS via Vercel
Lessons Learned
- 1.Security dashboards need to be fast — If the security tool is slow, people won't use it
- 2.Color-coding is critical — Severity levels must be immediately visually distinguishable
- 3.Real-time updates matter — Stale security data is dangerous
- 4.Keep it actionable — Every alert should suggest a next step
Live demo: cloud-secure.vercel.app | Source: GitHub
