Fleet Management IoT Platform
Multi-tenant vehicle telemetry backend with real-time and historical dashboards.
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Capability
Cloud Software Development in Australia
Ingest, time-series storage and APIs sized for device fleets, with the offline-first behaviour edge deployments actually need. Backends built by engineers who also wrote the firmware on the other end of the connection - so the API is designed for the reality of the device, not the wish list of a spec.
Scope
What cloud software covers - and what it doesn't.
Cloud software for hardware-connected products is a different discipline from consumer web software - the traffic patterns are different, the tolerance for missed data is different, and the operational reality is different. We build cloud backends specifically for the case where devices are the primary users and dashboards are the secondary.
In scope
- MQTT / HTTPS ingest sized for real device fleets (100s to 100,000s of devices)
- Time-series storage: InfluxDB, TimescaleDB, native cloud time-series services
- REST and streaming APIs with authentication, rate limiting, multi-tenancy
- Dashboards (Grafana, PowerBI, or custom web) with real user permissions
- Alerting and notifications with silencing, escalation, and audit trails
- Infrastructure as code (Terraform / CDK) - reproducible from an empty account
- Integration with existing operational systems (ERP, MES, CMMS, ticketing)
Honestly out of scope
- Consumer social platforms or content-heavy web properties
- E-commerce platforms with complex retail workflows
- Managed 24/7 SOC or NOC operations after handover
- Full-time ongoing DevOps as a service (we hand off to a runtime team)
Outcomes
What you get out of it.
A backend for a device fleet is judged by how it behaves at 10x the current device count. What our cloud programs consistently deliver:
Ingest that holds under real traffic
Message queues sized for burst reconnects (after a regional outage, every device reconnects at once). Storage indexed for the queries dashboards actually run, not the ones a benchmark suite runs.
APIs devices can rely on
Bounded latency, versioned contracts, and graceful degradation when a downstream service is offline. Devices assume the network is bad because the field proves them right.
Dashboards operators actually open
Interfaces designed for the operations team - alarm hierarchies, historic views, exports. Not admin dashboards designed for the engineer who built them.
Infrastructure a second team can inherit
Everything in code (Terraform / CDK). Documented runbooks. Nothing built in a console that only works if we did it.
Process
How a cloud software program runs here.
Four phases with a real deliverable at each gate - you always know what you paid for and what ships next.
PHASE 01
Discover (paid week)
We start from the constraint that binds - power, latency, thermal, certification - and design backwards from it. You leave with a written architecture, a budget range and the risks named, whether or not we build it.
PHASE 02
Design
Schematics, mechanical and firmware architecture proceed in parallel. High-risk blocks get simulated or breadboarded before the full layout commits.
PHASE 03
Build
Iterative revisions against real bench and field testing. You see every revision, not just the last one. Integration is continuous, not a phase.
PHASE 04
Deploy
Pilot in the field, closure with the contract manufacturer, production test procedures, and a commissioning-grade handover pack.
Technologies
What we build on - chosen per constraint, not per preference.
The platforms we reach for most. If a project needs something not on this list, we say so - the tool is chosen for the constraint, never to fit our habits.
Node.jsPython (FastAPI, Django)PostgreSQLTimescaleDBInfluxDBAWS (IoT Core, Lambda, DynamoDB, TimeStream)Azure (IoT Hub, Functions)GrafanaPowerBITerraformAWS CDKDockerGitHub Actions
Industries
Where cloud software we ship runs today.
Industrial IoT
Plant-floor telemetry, historian integration, operator dashboards.
AgriTech
Farm-scale sensor telemetry with intermittent cellular tolerance.
Smart cities
Multi-tenant public-realm data platforms.
Software platforms
B2B SaaS with operational workflows (asset registers, service portals).
Deliverables & IP
What ships to you at handover.
Every cloud program hands over: infrastructure as code (Terraform or CDK) that provisions the whole stack from an empty account, application source with CI/CD pipelines, database schemas and migration tooling, dashboards as configuration (Grafana JSON, PowerBI packs), API documentation, runbook for common failure modes, and an escalation guide with paging integration if requested. All foreground IP transfers on payment.
Case studies
Programs we shipped in this space.
Every entry links to the full case study - constraints, what we built, and what it measured afterwards.
Field Service Management Platform
Web + mobile operations platform for technicians and dispatch.
Read case study
Utility Compliance Asset Register
Auditable asset register with compliance workflows for a regulated utility.
Read case study
Compliance
Data-residency and privacy by design.
Cloud backends storing Australian personal or sensitive data trigger the Australian Privacy Principles by default; we design with encryption at rest and in transit, role-based access control, and audit logging as the baseline. For sectors with specific residency requirements (health, financial services, some government), we deploy in AU regions and document the data flows explicitly.
Multi-tenant systems get tenant isolation designed at the data layer, not as an application-level convention. We do not build platforms where a bug in the tenancy filter leaks cross-tenant data - the database schema and IAM policies enforce isolation.
FAQ
Cloud Software Development in Australia - straight answers.
Basic ingest + storage + one dashboard for a device fleet: AUD $15,000-$40,000. Multi-tenant platform with device management, dashboards and alerting: AUD $40,000-$150,000+. Custom operational platforms with complex workflows: AUD $80,000-$300,000+.
Depends on the client’s existing cloud footprint and data-residency requirements. AWS default for greenfield with global reach. Azure where the client is already on the Microsoft stack. Self-hosted (VPS or on-prem) where privacy or economics call for it.
Yes - most of our cloud work integrates with existing ERP, CMMS, MES, ticketing or historian systems. We design the integration pattern (API pull, event stream, batch export) to match the source system’s reality.
Depends on the RTO/RPO we agree with the client. Basic: multi-AZ within a region with automatic failover. Advanced: multi-region with warm standby. Documented as part of the architecture, not as an afterthought.
We can hand off to your team with runbooks and training, or continue on a retainer if you prefer. We are honest about the trade: an in-house team owns the platform’s long-term direction; a retainer is bounded scope with a defined SLA.
You do. Infrastructure runs in your cloud accounts, code is in your repos, and all foreground IP transfers on payment. You are not locked to us for future changes.
Why Incendio
One team, no seam between vendors.
Cloud backends for hardware fleets built by pure web teams tend to make optimistic assumptions about network quality and burst patterns - because they have never watched a device reconnect after a cellular outage. We write the firmware on the other end of the connection, so our APIs are designed for the field, not the workstation.
Related practices: IoT development, embedded systems, industrial automation, edge AI.
Start
Tell us the constraint that worries you most.
A latency budget, a power budget, a certification date. We reply within one business day - and we’ll say so if we’re not the right team.