QueueSignal Cloud Support SLA & Incident Triage Console

Overview

QueueSignal is a full-stack cloud support work queue and incident triage console. It upgrades a simple task board into a practical support operations system for tracking ticket urgency, SLA risk, customer impact, ownership, and escalation decisions.

The project is designed to show how cloud support teams can prioritize work across incidents, customer requests, service-impacting issues, and shift handoffs.

Screenshots

Dashboard Overview

Ticket Detail And Decision Panel

Shift Handoff Summary

Real-World Use Case

Cloud support teams need to quickly understand which tickets need action first. QueueSignal simulates that workflow by combining SLA status, customer tier, severity, service impact, ownership, and escalation level into a prioritized support queue.

QueueSignal helps answer:

• Which tickets are closest to SLA breach?
• Which customer-impacting incidents need escalation?
• Which cloud service areas are under pressure?
• Who owns each ticket?
• What should the next support engineer do during handoff?
• Which ticket deserves the next 30 minutes of attention?

Key Features

• Full-stack Node.js and Express application
• Clean frontend dashboard served from the backend
• Cloud support ticket API
• SLA risk calculation
• Priority scoring engine
• Escalation recommendation logic
• Status update and escalation actions
• Queue summary endpoint
• Shift handoff generator
• Service impact summary
• Automated triage tests
• Docker-ready project structure

Tech Stack

• Node.js
• Express
• JavaScript ES Modules
• HTML
• CSS
• Browser Fetch API
• Helmet
• CORS
• Docker

Project Structure

.
├── public/
│   ├── index.html
│   ├── styles.css
│   └── app.js
├── src/
│   ├── triageEngine.mjs
│   └── data/
│       └── tickets.mjs
├── tests/
│   └── triage.test.mjs
├── docs/
│   ├── architecture.md
│   └── screenshots/
├── server.mjs
├── package.json
├── Dockerfile
├── .env.example
└── README.md

How To Run Locally

npm install
npm start

Open the application:

http://localhost:8080

Run Quality Checks

npm run check
npm test

API Endpoints

Method	Endpoint	Purpose
GET	/api/health	Confirms backend service health
GET	/api/tickets	Returns enriched support tickets
GET	/api/tickets/:id	Returns one enriched ticket
PATCH	/api/tickets/:id/status	Updates ticket status
POST	/api/tickets/:id/escalate	Raises escalation level
GET	/api/queue-summary	Returns queue health metrics
GET	/api/handoff	Generates shift handoff summary
POST	/api/reset	Resets demo ticket data

Logic Model

QueueSignal enriches each support ticket with:

• SLA State
• Remaining SLA Time
• Priority Score
• Recommended Queue
• Escalation Recommendation

The priority score considers:

• Ticket severity
• Customer tier
• Current status
• SLA pressure
• Escalation level

Cloud Support Relevance

QueueSignal demonstrates practical cloud support operations:

• Incident queue visibility
• SLA-based prioritization
• Customer impact triage
• Escalation readiness
• Shift handoff summaries
• Service area pressure tracking
• Backend API design for operational tools
• Container-readiness for cloud deployment

Docker Usage

docker build -t queuesignal-cloud-support-console .
docker run -p 8080:8080 queuesignal-cloud-support-console

Recruiter Review Points

A recruiter or technical reviewer can quickly see:

• Backend API design
• Frontend workflow clarity
• SLA and priority scoring logic
• Incident escalation thinking
• Cloud support operations relevance
• Automated tests
• Clean documentation
• Practical internal-tool design

Planned Enhancements

• Persistent database storage for ticket history
• Authentication for internal support teams
• CI workflow for automated testing
• Cloud deployment using AWS App Runner, ECS, or Azure App Service
• Webhook-style integrations for Slack, Jira, or PagerDuty-style alerts
• Role-based dashboard views for L1, L2, and incident leads