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
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.
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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FAQs Regarding IoT Cloud Application Development
A. After developing an in-depth understanding of the problem statement and project requirements, we partner with our customers based on the following engagement models:
- Fixed Cost Model: The Development & Deployment of IoT cloud application is done based on a pre-agreed fixed cost.
- Time & Material (T&M): The billing for development and deployment of the application is calculated based on the estimated number of man-hours, and infrastructure costs.
- Post-deployment support: We also engage with our customers for 24×7 post-deployment support. This can include the following:
- Support for post-production issues , the change requests (CR), feature enhancement requests, and software/security patch updates.
- 24*7 monitoring and maintenance of the system.
A. Our Cloud Application Solution for IoT projects is designed based on a multi-level security approach that includes:
Device Side Security: This is ensured through Root CA (Client Authentication) certificate that helps in verifying the source before any network connection is established between the server and any IoT device.
In addition to this, device IDs’ of each device are matched against an authentication device list, which is maintained by the server to ensure that only trusted devices get access to the data.
Cloud/Server Side Security: This is implemented using the Role Based Server Access management. This helps in streamlining the server data access based on user’s role and corresponding permission levels.
Network Security: Each interaction between the cloud and an IoT device within the network is secured using advanced encryption mechanisms ( SSL, HTTPS).
A. Yes. Based on your business requirements, we can configure our IoT Cloud Application to store and process data for pattern learning, anomaly detection and more. Our team can help you in integrating advanced business intelligence dashboards and tools like Power BI, and Amazon Quicksight.
Additionally, we also offer support for generating real-time reports in various file formats including PDF, Excel, or CSV.
A. Our IoT Cloud Application solution is designed to cater to any future increase in number of connected devices as well as an increase in the data volume.
Usually, this is achieved by creating multiple instances of the database in a distributed environment, that helps in balancing the increase in load.
Additionally, we can also store the data in a non-relational database like NoSQL DBMS. A non-relational database uses a schema-less data management architecture which makes it easy to scale-up based on the business requirement.
A. Typically, a team developing IoT cloud application for IoT projects should have the following skillsets:
- Software skills like expertise in Python Scripting
- Cloud Platform development expertise
- Experience in DBMS
- Expertise in IoT communication protocols like MQTT, CoAP, HTTPS
- Expertise in Cloud security management
- Front –end UI/UX Design & Development Skills
- Hands-on experience in Software Testing
A. The following are some of the business benefits:
- When an IoT Application is hosted on a Cloud Server, your team will have the flexibility to manage the devices and the data from a remote location through a secure authentication process. This helps in enhancing the response time to any issue that needs immediate attention.
- Moving your application to the cloud offers scalability, which is limited when you are using a dedicated server. The pay-per-use business model of a cloud based server also ensures that a ramp-up doesn’t impact the bottom-line of the project.
- You can leverage cloud based tools and APIs that can help to optimize and improve the overall performance and simplify operations.