Cloud & Connected Systems
Cloud engineering for the systems behind connected products
Indeema takes responsibility for the cloud and backend services behind a connected product: how devices connect and are identified, what the platform receives and remembers, how applications and partners reach it, and how it is deployed and evolved. Bring us one integration, the whole cloud layer, or the device-to-cloud-to-app path, at the scope you need.
See what we take responsibility forWhy this layer becomes difficult
Most cloud work begins with one of these
The devices are ready, and the service behind them is missing or a prototype.
Adding a unit still means manual configuration and software installs.
The platform works, but its cloud side is slow to improve and has no clear owner.
You are strong on devices and want the software side owned.
What Indeema takes responsibility for
Cloud software development along the device-to-application path
Six responsibilities in the order a device message meets them, through to device management. Each ends at a seam.
Connect
How devices reach the cloud and prove who they are: transport, credentials, provisioning, onboarding.
Ends atDevice ↔ cloud
Ingest
Receiving and processing what devices send, and routing it to the services that need it.
Ends atService ↔ service, external systems
Model
What the platform stores and knows about each device and customer: accounts, data and configuration.
Ends atData ↔ decision
Expose
The IoT backend APIs and back-office services that applications, portals and partner systems use.
Ends atCloud ↔ application
Operate
A platform designed to be deployed repeatably and paid for sensibly. Daily pipelines stay with DevOps.
Ends atPlatform ↔ operations
Evolve
Device management from the service side: update delivery, extending the platform, taking over one that exists.
Ends atInstalled devices
Device ↔ cloud: one contract, two owners
Embedded & Firmware owns
- Behaviour on the device
- Installing and recovering updates
- The software inside the device
Cloud owns
- Identity and provisioning
- Ingestion and stored data
- The API and update delivery
Where responsibility ends
- Embedded & Firmware The device side of the same contract.
- Applications & Experience What people use to see and control the product.
- AI for IoT & Edge AI Where intelligence runs is a separate decision.
- DevOps How it is built, released and monitored day to day.
Scope of responsibility
How much of the cloud layer should Indeema own?
Scopes, not tiers. Cloud work can start at any of them, including taking over a platform that already runs.
Discipline
One service, integration, or provisioning or data responsibility.
- A device-provisioning flow, an integration, or the data model behind a portal
Layer
The cloud and backend layer behind the devices.
- Connection, ingestion, data, APIs and integrations as one design
Connected layers
The cloud designed together with the device contract and the applications.
- One device-to-cloud-to-app path, with firmware and apps described on their own pages
Whole product
The connected product as one scope.
- Electronics, firmware, cloud and applications under one architecture
Scope follows where the problem is, not the size of the engagement.
How Indeema engineers it
Read what exists before changing it
If the cloud model or platform is not yet decided, start with Product Discovery & Technical Strategy.
Read what exists
Architecture, data flows, deployment and code, before anything changes.
Define the data path
What devices send, what applications ask for, what partners expect.
Build and integrate
Services built and connected to real devices and applications.
Release and hand over
Deployed and handed over with the contracts documented.
What this has looked like
Three situations, and what Indeema owned in each
- Connected layersDevice and cloud built together
Elevator energy-monitoring devices, and the service behind them, did not exist yet.
- Indeema owned
- The device and its cloud infrastructure together: MQTT over TLS to AWS IoT Core, data batching and compression, device authentication, and the portal’s back end and API.
- What changed
- A working device-to-cloud-to-portal system, with remote device management.
- DisciplineEnrolling and updating devices
Adding a unit meant a long, manual firmware install and configuration.
- Indeema owned
- Automated provisioning with unique credentials per device at first boot, a gateway software image updated from a web interface, and the web application and API behind it.
- What changed
- A unit could be enrolled and updated through one tool instead of by hand.
- LayerTaking over a cloud layer
The client focused on firmware and sensors, and its cloud side needed performance work and an owner.
- Indeema owned
- A review of the existing backend, cloud architecture and code, then performance work and the data model, with sensor data collected through Azure IoT Hub.
- What changed
- The client kept its focus on firmware and sensor production while Indeema owned the software.
Reading: Choosing a cloud model · Choosing an IoT platform
FAQ
Cloud software development questions
What is cloud computing?
Cloud computing is the delivery of computing services, such as servers, databases, storage, networking, software and analytics, over the internet, so you use and pay for capacity as a service instead of running your own hardware.
What types of cloud are there?
There are three main types: public clouds, where services are delivered over the internet by a provider; private clouds, run for the internal use of one organization; and hybrid clouds, which combine public and private platforms for hosting applications and workloads.
What is the difference between the cloud types?
The main difference is who owns and controls the infrastructure: the provider in a public cloud, your organization in a private cloud, and both in a hybrid cloud. That affects control over data location, operating effort and how capacity is added.
What are major cloud providers?
The largest public cloud providers are Amazon Web Services, Microsoft Azure and Google Cloud, with others such as IBM Cloud and Oracle Cloud. Our project pages describe connected-product back ends built on AWS and on Azure.
Can you move my existing application to the cloud?
Yes. For a connected product we review the existing back end, its device connections and data, decide what can move as it is and what should be re-architected, and plan the move so devices already in the field keep working.
What types of apps can run in the cloud?
Technically almost any application can run in the cloud, but it is not always the right choice. For connected products the cloud usually hosts device connectivity and identity, data storage and processing, APIs for apps and integrations, and operations tooling, while time-critical logic stays on the device.
What does the cloud part of a connected product include?
Device connectivity and identity, ingestion and storage of telemetry, the APIs that mobile and web apps use, integrations with business systems, and the tooling to operate and update the fleet. We take on the parts you need, from one service to the whole back end.
Ways to work with Indeema
Start with the systems behind your product
Engineering ownership
Indeema is accountable for a defined scope of the cloud layer, from the data path to what it hands over. You decide at agreed gates.
Joint product team
Indeema engineers work inside your team, against the contracts you share with your firmware and application engineers.
Also available: specialist team extension. A defined specialty joins a team you lead.
Bring us
- The devices, or the plan for them
- What the service does today, and where it hurts
- The contracts with firmware, apps and partners
- The part you want owned
Where the boundary sits
- IoT Product Engineering Device, cloud and application as one scope.
- Product Discovery & Technical Strategy If the cloud model or platform is not yet decided.
- Maintenance & Support Supporting a product already in the field.
- Connected Product Engineering The product view of the same system.
Sector context: Oil & gas · Agriculture