LOG-004Backend
Real-time Systems with Socket.IO at Scale
Rooms, backpressure, and operational dashboards when ERP clients expect live KPIs.
Sameer ShaikhSep 20257 min read
Socket.IOReal-timeDashboards
Back to dispatch log
Enterprise dashboards promise live KPIs. The second a chart lags thirty seconds, operators open spreadsheets again.
Socket.IO gave us rooms, acknowledgements, and fallbacks — but discipline mattered more than the library choice.
Room design
Rooms mapped to tenant + branch + surface (kitchen, owner, ops). Join handlers validated JWT claims before subscription.
Broadcasting order updates only to kitchen screens prevented leaking data across branches.
Scaling out
When horizontal scaling became real, we added a Redis adapter so events reached all nodes. Sticky sessions alone were not enough.
High-frequency GPS or metric streams were throttled server-side — clients received aggregated ticks, not raw firehoses.
Key takeaways
- 01Namespace by tenant and branch — never broadcast globally by accident.
- 02Throttle high-frequency events on the server before they hit clients.
- 03Plan Redis adapter early if you run more than one Node instance.
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LOG-001
Building Scalable Multi-tenant SaaS Architecture
Lessons learned from building enterprise SaaS with data isolation, tenant management, and modular deployments.
LOG-006CI/CD Pipelines for Enterprise Applications
Setting up automated deployment pipelines with GitHub Actions for multi-environment enterprise systems.
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