Case Study
Real-time Operations Dashboard
Live operational visibility with alerts and anomaly detection.
Realtime
Analytics
Backend
Overview
Operations teams needed a single dashboard with real-time health signals and alerts across services.
Goals
- Deliver near real-time visibility into operations.
- Centralize alerts and escalation workflows.
- Enable role-based access for cross-team usage.
Challenge
Metrics were spread across tools with delayed reporting and no centralized alerting workflow.
Constraints
- Large volume event streams.
- Existing monitoring tools had to remain in place.
- Mobile-friendly access required.
Solution
We created a real-time dashboard with streaming metrics, alerts, and role-based access.
Architecture
- Streaming ingestion with WebSocket updates.
- Aggregation layer for KPIs and anomaly detection.
- Alerting service with escalation rules.
Implementation
- Built streaming APIs and WebSocket channels.
- Implemented KPI aggregation and anomaly rules.
- Delivered alert workflows with Slack and email triggers.
Tech Stack
Node.js
PostgreSQL
Redis
WebSockets
AWS
Timeline
- Week 1: Metrics definition and event mapping.
- Weeks 2-3: Streaming ingestion and dashboard UI.
- Week 4: Alerting, QA, and launch.
Results
- Reduced incident response time by 45 percent.
- Provided unified visibility across teams.
- Improved alert accuracy with anomaly thresholds.
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