IoT Platform Architecture

A non-confidential, case-study-style overview. Specifics are generalized; no client details are presented as public fact.

Problem

A connected-product program needed a platform to bring devices online at scale — ingesting telemetry, routing it reliably, and exposing it to downstream applications. The early system coupled ingestion directly to storage and couldn’t absorb growth in device count or message rate without degrading.

Decisions

• Established a clear ingestion boundary: devices authenticate against AWS IoT Core, and a durable stream sits between ingestion and any storage or processing.
• Separated concerns into ingestion, transformation, and serving tiers so each could scale and fail independently.
• Modeled tenancy and data boundaries explicitly, with per-tenant isolation as a first-class requirement rather than an afterthought.
• Standardized device identity and onboarding so adding a new device class was a configuration task, not a code change.

Tradeoffs

• Introducing a streaming buffer added operational surface in exchange for backpressure handling and replay — a deliberate trade favoring resilience.
• A bridge tenancy model (pooled compute, isolated data where required) cost more than pure pooling but contained blast radius to a single tenant.
• Favoring event-driven decoupling increased the number of moving parts while removing the single points of failure that constrained the original design.

Outcome

The platform handled growth in device count and throughput without re-architecting the hot path, isolated faults to individual tiers, and made onboarding new device classes routine. Downstream teams could build on a stable, observable telemetry substrate instead of querying a brittle ingestion path directly.

Technologies

AWS IoT Core · TypeScript · NestJS · MQTT/HTTPS ingestion · streaming buffer · event-driven processing · multi-tenant data isolation.