Engineering

Tech stack (plain English)

Every business is different. We pick technologies based on reliability, maintainability, and what your team can actually operate—not hype.

Typical building blocks

Backend services

Node.js / TypeScript (common), Python when it’s a better fit. These run your automations, integrations, and business logic.

Databases

PostgreSQL or MySQL for core data. Sometimes SQLite for small internal tools. We design schemas that stay understandable.

APIs + integrations

REST/GraphQL APIs, webhooks, scheduled jobs, and connectors to platforms like Shopify, Stripe, QuickBooks/Xero, ERPs, CRMs, and inventory tools.

Dashboards

Custom dashboards (web), or modern BI tools when appropriate. The focus is trusted data + clear KPIs.

Infrastructure

Cloud hosting (AWS/GCP/Azure), managed databases, containerization (Docker), and CI/CD so updates are predictable and reversible.

Observability

Logging, monitoring, alerting, and audit trails—so you know when something breaks and why.

For sensor-driven workflows

  • Ingest time-series data (temperature, nutrients, device status).
  • Store it safely (with timestamps and calibration notes).
  • Trigger alerts/actions (thresholds, anomaly detection, scheduling).
  • Keep manual override + safety checks where it matters.

What you get

  • Documented architecture (what runs where, what to do if X fails).
  • Code + configs you can own, not a black box.
  • Optional ongoing support once things are stable.

Want to talk through your situation?

Email us a short description and we’ll propose a practical next step.