Skip to content

Services

IoT & MQTT solutions: monitoring and alerting

I design end-to-end IoT pipelines: MQTT topic/schema design, reliable processing, realtime dashboards, and actionable alerts.

Start a conversation
SN-04TEMP26.4°CONLINEEDGE DASHBOARD26.4°C229.1V99.2%armed: temp > 30°C
SN-04 · industrial sensoredge dashboard · live

What this covers

  • MQTT topic design & message schema
  • Realtime dashboard + history
  • Threshold/anomaly alerting
  • Operational resilience and fail-safes

Use Cases

Production Machine Monitoring
Asset Tracking
Smart Building
Environmental Monitoring
Energy Management
Fleet Management

What you get

  • Clear device→broker→pipeline→dashboard architecture
  • Validation + normalisation (as needed)
  • Responsive monitoring UI
  • Integration notes for devices

Why this approach works

  • IoT succeeds when data is reliable and visible
  • Proper alerting reduces downtime
  • Clean schemas make scaling easier

How engagements are shaped

Scope varies too much to post a price up front. What I can say is that nearly every project lands in one of three shapes. Use them to place yourself before getting in touch.

  1. 01

    Targeted fix

    An MQTT setup that runs but produces data you cannot trust, or alerts too noisy to act on. Tidy the topics, the payload schema and the thresholds.

  2. 02

    Full build

    Device to dashboard: topic and schema design, data pipeline, history, and alerting that is actually actionable.

  3. 03

    Ongoing

    Broker and pipeline monitoring, new devices and metrics, and alert tuning as operating patterns shift.

Tech stack

MQTTPythonNode.jsInfluxDBGrafanaReactTimescaleDBDocker

FAQ

Do we need a specific broker?

Not necessarily. We choose managed vs self-hosted based on reliability, security, and operations.

Can dashboards be realtime?

Yes. We stream efficiently so the UI stays lightweight.

What about security?

Auth, TLS when needed, topic ACLs, and least-privilege design.

How soon does data show up on a dashboard?

I commit to the rhythm, not the date. After discovery the priority is getting one device pushing real data to a dashboard as early as possible — a schema and its thresholds are far easier to judge against real readings than on paper. Further devices and metrics follow once the path is proven.

Have an IoT/MQTT use case?

Send device + data details and monitoring needs. I'll respond with a practical architecture and milestones.

Discuss IoT