Bridging IoT and Healthcare: Secure, Real-Time Data Exchange with Aerospike and Salesforce Marketing Cloud
The architecture presented in this paper describes a secure and real‑time bridge between healthcare Internet of Things (IoT) telemetry and engagement by mapping Aerospike as the low-latency data plane and Salesforce Marketing Cloud (SFMC) as the consent-aware engagement plane. Heterogeneous streams, viz. wearables, implants, bedside monitors, pumps, and sensors, consume through BLE to gateways, which transit across MQTT/HTTPS with mutual TLS. Kafka has fans emitting extensions of events to streams of processors that unit-normalise, schema-validate, de-duplicate, and identify features. Aerospike maintains time Series and change-data capture and alert state using hybrid memory, TTLs, secondary indexes, optional strong consistency, and supports emission of immutable events that serve as change-data capture. SFMC is fed de-identified attributes; Journey Builder uses SMS, push, or email to trigger on threshold violations, missed doses, or offline devices respecting consent. HIPAA governance is enforced with interoperability through FHIR resources and OAuth APIs; tokenization, audit trails, and DevSecOps guardrails. Experiments support >300k events/s with median write 3 5 ms (p99 <20 ms), bedside read p99 <35 ms, and fast-path interaction ~6 7 s between abnormal signal and journey entry. AZ failures and gateway restarts provide bounded backpressure and automatic recovery; the addition of a policy‑decision point provides sub‑millisecond overhead. A fault‑tolerant, pragmatic blueprint decouples ingestion, analysis, and outreach to provide timely alerts and privacy preservation. The strategy demonstrates that Aerospike and SFMC can secure, cost-conscious, scalable real-time IoT communication supporting bedside applications, remote patient monitoring, and population initiatives
Authors
- Mukesh Reddy Dhanagari
- Jiten Sardana
Publication Details
- Journal
- International Journal of Computational and Experimental Science and Engineering
- Published
- 2025-09-16
- DOI
- https://doi.org/10.22399/ijcesen.3853
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00