INDUSTRIAL IOT & EDGE SYSTEMS

INDUSTRIAL IOT & EDGE SYSTEMS

Telemetry pipelines, SCADA integration and real-time edge processing for physical operations.

We build resilient time-series ingestion engines and edge computing setups that connect physical assets to business dashboards.
90% Less Cloud Traffic
Continuous Sensor Logging

Executive Summary

High-frequency industrial equipment telemetry creates massive data volumes that choke standard cloud databases.

Network dropouts in remote locations cause data loss and disrupt predictive maintenance modeling.

The Cost of Inaction

High Cloud Ingestion Costs

Streaming raw telemetry directly to high-cost cloud endpoints without edge filtering.

Data Blackouts

Loss of critical telemetry when factory-floor internet connections drop.

The KryoNex Solution Architecture

We install edge gateways (MQTT, OPC UA) that run local data buffering configurations.

Time-series databases are optimized to store billions of telemetry records efficiently.

Target State

Edge Telemetry Processing

Filtering and aggregating data locally before transmitting it to the cloud.

Store-and-Forward Buffering

Edge gateways storing logs during outages and syncing automatically upon reconnection.

Measurable Outcomes

90% Less Cloud Traffic

Edge data aggregation reduces ingestion storage and bandwidth expenses.

Continuous Sensor Logging

Zero data loss during network interruptions, ensuring audit trail accuracy.

Edge Analytics

Process telemetry data directly at the industrial edge to reduce network latency and costs.

Predictive Maintenance

Identify equipment anomalies and schedule repairs before failures occur.

Who Benefits From This Solution?

Manufacturing

Monitoring assembly line vibration sensor arrays to predict gear failures.

Logistics

Tracking shipping container GPS and temperature telemetry in real time.

The Orchestration Stack

Required Platform Capabilities

  • Edge Delivery & CDN
  • Event Streaming & Messaging

Required Engineering Services

  • DevOps & CI/CD
  • Data Engineering

Typical Implementation Roadmap

Phase 01

Edge Ingestion Setup

Deploy gateways and establish physical machine protocols.

Telemetry connections activeEdge cache working
Phase 02

Cloud Integration

Configure time-series archiving and build monitoring dashboards.

Kafka streaming activeGrafana panels live

Representative Technologies

Apache Kafka / SparkTerraform / OpenTofuDocker & KubernetesPrometheus & Grafana

Frequently Asked Questions

What protocols do you support?
We support standard industrial standards including Modbus, OPC UA, MQTT and custom serial protocols.

Request Technical Consultation

Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.

  • Architecture Mapping

    Review your current tech stack and bounded contexts with a senior engineer.

  • Execution Timelines

    Establish realistic milestones, engineering phases and capacity requirements.

Project Context

Tell us about the engineering challenges you are facing.