Case 05 — Real-time Analytics for Ops Decisions

Problem

Dashboards lagging hours behind, no freshness SLA

Delivered

Streaming aggregation + serving layer + freshness SLA + alerting

Context

An operations team was making decisions based on stale data because dashboards updated only every few hours. Critical operational metrics needed to be available in near real-time.

Approach

Identified key operational metrics requiring real-time updates

Built streaming aggregation pipelines for these metrics

Implemented serving layer with sub-second query response

Established freshness SLAs with automated monitoring

Created alerting for both metric anomalies and system health

Established load testing and chaos engineering practices

Results

Dashboard freshness improved from hours to seconds

Operational decision speed improved by 80%

Consistent freshness SLAs with 99.9% compliance

Proactive alerting catching issues before user reports

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