Internet of Things and Cloud
IoT and Cloud
Re-Imagining Future with Cloud and IoT
Post By : Achyut Labs
May 16, 2020
Updated Aug 16, 2026
Re-Imagining Future with Cloud and IoT
A couple of latest and widely used terminologies in IT media are the Internet of Things (IoT) and Cloud Computing. Though, the English-speaking nations are often found using the word cloud computing and not the Internet of Things.
"Owing to the integration of various technologies, real-time data analytics, machine learning, commodity sensors and integrated systems, the term IoT has evolved a long way. The Internet of Things integrates multiple technologies like embedded systems, wireless sensor networks, control systems, automation, and others."
In the consumer industry, IoT technology most synonymously refers to products relating to 'smart home', 'smart cities', 'smart cities'. Also, it involves devices and appliances that support one or more common ecosystems and can be regulated by devices associated with this ecosystem, such as smartphones and thermostats.
Businesses can use the concept of IoT in the following areas;
- Agriculture
- Animal tracking
- Precision farming
- Soil moisture sensor
- Weather station
- Facility Management
- Environmental sensor
- Room/desk occupancy
- Door/window sensor
- Smart plug
- Pest control
- Smart City
- Parking
- Weather station
- Smart lighting
- Smart bin
- People counter
- Sound measurement
- Air Quality
- Waste management
- Flood control
- Industrial
- Temperature
- ModBus
- Predictive maintenance
- Conditional monitoring
- Fuel tank monitoring
- Connected factories
- Logistics
- Cold Chain
- Asset Tracking
- Movement
- Utilities
- Water meter
- Gas meter
- Electrical current
There is a whole chain of action that goes from Device to Device, Device to Gateway, Gateway to Network Server, Network Server to Cloud and Data Analytics to Dashboard Display. All these are simplified thanks to ready to use protocols, mechanisms, and Cloud infrastructure provided by key providers like AWS IoT, Network of Things, Google IoT Core, etc.
The Internet of Things ( IoT) in the Cloud is a comprehensive managed infrastructure that makes linking, managing and integrating data from millions of devices globally that are distributed securely. This data typically is high in volume and needs to be stored and analysed with the aid of various resources offered by Cloud providers. Cloud computing is an enabling technology of the IoT.
From lifts to cellular phones to city buses, all will be subject to wired control systems shortly or use networks to communicate vital details. The amount of knowledge that flows across networks is mushrooming. This will result in prohibitively costly hardware specifications in a dedicated or collocated hardware environment. Thus, the cloud is the only viable choice for linking, monitoring and handling the modern Internet of Things affordably.
Achyut Labs is a trusted name in the technology domain with vast experience working in IoT and Cloud Computing for 17+ years. This experience blends with technology expertise like LoRaWAN Technology, Embedded System, Google IoT Core and many more.
Where to start with an IoT project
The list above is broad on purpose — IoT touches almost every industry. But the projects that work tend to share the same shape, and it is worth answering four questions before buying a single sensor:
- What decision does the data change? A sensor that produces a dashboard nobody acts on is a cost, not an asset. Start from the decision and work backwards to the measurement.
- How will the devices connect? Wi-Fi, cellular and LoRaWAN have very different range, battery life and running costs. On a rural or large-site deployment this choice usually decides the project's economics.
- Who maintains the fleet? Firmware updates, battery replacement, certificate rotation and devices that quietly stop reporting are the ongoing work. Plan for it before the pilot, not after.
- How is it secured? Each device is an endpoint on your network. Per-device credentials, encrypted transport and a way to revoke a compromised unit are the baseline.
The pattern that has held up since this article was written is the one described above: devices gather, the network carries, and the cloud stores and makes sense of it. What has changed is how much of that middle layer is now a managed service rather than something you build — and, more recently, how much of the analysis at the end of the chain can be handed to machine learning.
Related reading
- IoT Application Development — our IoT services.
- Cloud Solutions, AWS and Google Cloud — the platforms behind IoT Core and its equivalents.
- Artificial Intelligence: The Empowering Technology — what happens to the data once it lands.
Have a connected-device idea you want scoped? Talk to our team.