Edge Computing & IoT Architecture

MicrocosmWorks uses a decision framework based on latency sensitivity, bandwidth cost, and data privacy requirements to partition workloads between edge and cloud. Time-critical tasks like anomaly detection on sensor data, local control loops, and safety shutoffs run at the edge, while model training, historical analytics, and cross-site aggregation stay in the cloud. We help clients map each IoT use case to the right compute tier during our architecture discovery phase.

MicrocosmWorks designs edge nodes with local persistence using lightweight databases like SQLite or TimescaleDB, combined with store-and-forward queuing that buffers data during connectivity gaps and synchronizes automatically when the connection is restored. Our edge firmware includes conflict resolution logic for scenarios where local decisions made offline diverge from cloud-side state. This ensures zero data loss and continuous operation even in environments with intermittent connectivity like remote industrial sites or mobile fleets.

MicrocosmWorks implements OTA (over-the-air) update pipelines with cryptographic signing, staged rollouts, and automatic rollback capabilities to ensure every edge device receives verified firmware without downtime risk. We use mutual TLS authentication between edge devices and the update server, with hardware-backed secure boot to prevent tampered firmware from executing. Our phased deployment strategy updates devices in small batches with health checks between stages, so a bad update never reaches your full fleet.

MicrocosmWorks selects edge hardware based on the workload profile—NVIDIA Jetson for computer vision and ML inference, AWS IoT Greengrass-compatible gateways for general-purpose edge computing, and ruggedized industrial PCs from vendors like Advantech for harsh manufacturing environments. We maintain reference architectures for each platform that include pre-configured networking, security, and telemetry stacks, which accelerates deployment by 40-60%. Our team evaluates power consumption, operating temperature range, and connectivity options to match your specific site conditions.

MicrocosmWorks has completed multiple SCADA modernization projects where we overlay edge computing gateways that translate legacy protocols like Modbus and OPC-UA into modern MQTT or gRPC streams without disrupting existing control systems. We run a parallel architecture during migration so the legacy SCADA continues operating while the new edge-cloud pipeline is validated against production data. Our consulting rates for industrial IoT modernization start at $20-$50/hr depending on the protocol complexity and regulatory requirements involved.