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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