IoT Cloud Application Development


IoT Cloud and Application Development: The Best Practices

Within the IoT solution architecture, IoT Cloud is the place where all the action happens!

An IoT cloud hosts the following essential components:

  • IoT Cloud application, loaded with API and other interfaces, to push and pull the data/commands to & from the IoT sensor nodes or devices
  • Databases, Security Patches and other Software/Algorithms to provide necesarry infrastructure
  • Analytics Engine – Relational Databases, Machine Learning and AI software algorithms
  • IoT Frontend Application: End-user Web Application, Mobile Application and PC Application.


Following are some of the best practices for developing a robust IoT Cloud Application (a.k.a Brain of your IoT Solution)

IoT Cloud Application Development Services


IoT Sensor Nodes & Cloud Interfaces Development

  • Secure and robust communication interface development between IoT devices and cloud using MQTT, CoAP, AMQP, Websocket, Node and more
  • Connectivity of IoT device is continuously monitored by the IoT cloud application. Application alerts end-users of connectivity issues and suggests resolutions
  • Implementation of secured handshake mechanism for communications / data tranfers between IoT sensor nodes/devices and cloud application
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    Database Design and Data Management

  • Robust database design and architecture (relational/non-relational) ensuring no data loss. Multiple databases to manage large number of IoT devices and voluminous data
  • Storage and management of all the IoT devices data for real-time monitoring of the deployed devices


    End-user IoT Application development

  • End-User Role Management – A user accesses only the assigned IoT sensor nodes/devices after successful login. End-users are defined w.r.t roles and responsibilities which are maintained and managed by the IoT cloud application
  • IoT Device Management – IoT Device identity is created and stored in cloud and is mapped to respective users to avoid unauthorized access
  • IoT Mobile App/ Web Application – Device parameters, status and processes stored in IoT cloud can be accessed, monitored and controlled by end-users through Mobile /Web / PC applications.
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    Analytics and Reporting

  • Development and integration of Machine Learning (ML) algorithms with the IoT cloud as per the business requirements
  • Enable IoT Cloud Application to process historical device(s) data in order to predict the device’s behavior and identify patterns for predictive maintenance, asset utilization or other business applications
  • Support for customized text-based and graphical reports for analysis and monitoring


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