01
Capture at the source
Reliably capture both historical and real-time data directly from field assets as they operate.
Case study
DMS
How Huboxt designed and built a Data Management System (DMS) with on-field software that captures historical and real-time data directly from operating equipment, processes and secures it in the cloud, streams it live to the web, and powers applications on top — including a full Maintenance Management System (MMS) module.
- Client
- Industrial automation (oil & gas)
- Engagement
- 7+ years, ongoing
- Services
- Architecture, development, DevOps, support
- Industry
- Oil & gas / real-time data
Product preview
The challenge
Field equipment in oil & gas generates an enormous amount of operational data while it runs — both deep historical records and live, real-time telemetry. The challenge is capturing that data reliably from assets out in the field, often in remote locations, and getting it to a modern cloud platform at volume — where it can be streamed to a browser and feed analytics and maintenance workflows.
The brief wasn't a single app. It was a data platform: a reliable way to capture data straight from the field assets, move it to the cloud at volume, process and secure it, manage who can see what, stream the live feed to a web client, report on all of it — and then build real applications on that foundation. Maintenance Management (MMS) was the first major application, but it was always one part of a larger Data Management System (DMS).
That meant prioritizing the foundational components first: dependable on-field software that captures data directly from the assets as they operate, secure communication across an untrusted boundary, infrastructure that scales with ingestion volume, and an architecture flexible enough to extend over years of development.
Goals
02
Cloud at volume
Move, process and store that data in a scalable cloud platform.
03
Secure every hop
Secure every hop — from the Windows Service, through the APIs, to the web client.
04
Users & permissions
Manage users, licenses and permissions across customer organizations.
05
Stream & report
Stream real-time data to the web and provide rich reporting.
06
Build on the platform
Build applications on top — starting with maintenance management — and keep extending the platform over time.
Our approach
We started at the source with on-field software, treated the cloud as a data platform rather than a single app, secured the full path from field to browser, and built infrastructure to scale, observe and ship continuously over a multi-year engagement.
01
On-field capture software
A .NET Core / React application installed as a Windows Service, deployed on-site together with the assets, that captures historical and real-time data as they operate — reliable capture at the source.
02
Cloud as a data platform
Cloud services that process imported data, manage users, licenses and permissions, stream real-time data to the web client, and report — running as Docker containers on AWS ECS. The foundation every feature, including MMS, is built on.
03
Secure the whole path
A dedicated auth service and secured communication between the Windows Service, the APIs and the web client, so sensitive operational data stays protected across every boundary.
04
Scale, observe, ship
AWS infrastructure and CI/CD pipelines with Grafana dashboards, Slack-channel alerting and database query tracing — a platform that scales with ingestion volume and ships features safely over years.
What we built
A full data platform — from on-field capture through cloud processing, real-time streaming, MMS, CRM integrations, and production observability.
- 01
On-field capture software
A .NET Core / React application installed as a Windows Service, deployed on-site together with the assets, that captures historical and real-time data directly from the equipment as it operates — the front line of the whole platform.
- 02
Cloud data platform
Cloud services running as Docker containers on AWS ECS that process imported data, manage users, licenses and permissions, stream real-time data to the web client, and power reporting. The platform sustains data imports at roughly 50 requests per second.
- 03
Auth & secure communication
A dedicated authentication service and secured communication between the Windows Service, the APIs and the web client.
- 04
Web client
Significant portions of the React web application, where users see live data, run reports and manage their operations.
- 05
Maintenance Management (MMS)
Built on the DMS data foundation: hierarchical asset management (assets with subcomponents and parts), creation and tracking of maintenance activities per asset, work-hours management for resource allocation, and detailed reporting on tasks performed, parts replaced and overall asset condition.
- 06
CRM integrations
Multiple integrations with maintenance CRMs such as eMaint and Fiix, synchronizing asset work-hours between systems so maintenance data stays consistent across the tools customers already use.
- 07
Job planning, subscriptions & AI
A jobs planner and subscription handling, with AI features currently being added to push the platform beyond data management into insight and automation.
- 08
Infrastructure & observability
AWS infrastructure and CI/CD pipelines designed and managed end to end, with Grafana monitoring, Slack-channel alerting and database query tracing for full production visibility.
Results
01
A platform, not just an app
DMS turns raw operational data from field assets into a secured, streamable, reportable cloud resource, with MMS as one application among more to come.
02
~50 requests per second
Sustained ingestion at roughly 50 requests per second, with infrastructure built to scale alongside it.
03
Real-time visibility
Live field data streamed straight to the web client, secured across every hop.
04
7+ year partnership
The platform has been developed, supported and extended continuously — a track record that speaks to both the architecture and the relationship.
05
Connected toolchain
CRM integrations (eMaint, Fiix) keep asset work-hours in sync with the systems customers already rely on.
06
Production observability
Grafana monitoring, Slack-channel alerting and database query tracing keep the platform healthy and surface issues before they reach users.
07
Evolving with AI
New AI features are being added on top of the existing data foundation.
“The decision that made everything else possible was treating this as a data platform from the start, not a maintenance app with some imports bolted on. By solving the hard parts first — on-field software that captures the data at the source, secured communication across an untrusted boundary, and a scalable cloud foundation on Docker and AWS ECS with proper auth, licensing and permissions — Huboxt built something that could carry application after application on top of it. MMS was the first; CRM integrations, job planning, subscriptions and now AI features followed. Seven-plus years on, it's still the same foundation, still growing — which is the clearest sign it was built right.”
Read the client's review on Clutch
Independent feedback from the team behind this project — verified on Clutch.
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