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← All workEnterprise / Observability

Oversight

An enterprise distributed monitoring system at Afiniti, processing high-volume telemetry in real time with Redis caching and a sub-second React dashboard.

0
Pipeline stages from telemetry stream to dashboard
Pipeline
<0s
Dashboard update latency
Latency
0
Redis caching layer absorbing telemetry load
Caching
Technology
ReactNode.jsPostgreSQLRedisAsync EventsLoad Balancing
Oversight case study

The problem

Afiniti's operations teams needed visibility into distributed systems generating high-volume telemetry, but a single-node monitoring setup couldn't keep pace with the event volume without introducing lag between an incident happening and it showing up on a dashboard.

Our approach

We treated event throughput as the design constraint from the start, processing telemetry asynchronously rather than synchronously, and caching hot data in Redis so the dashboard never waited on a database round trip to render the current state of the system.

What we built

Oversight: a distributed monitoring system with async event processing, a Redis caching layer absorbing telemetry load, and a load-balanced Node.js backend distributing that load across instances. The React dashboard renders on top of that pipeline with sub-second latency.

The outcome

Operations teams monitor distributed systems at scale in real time, with sub-second latency between an event occurring and it appearing on the dashboard, rather than working from a stale or delayed view of system health.

Next

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DigiMith

From idea to software that runs. A globally distributed senior studio, engineered to scale.

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