Get a Free Quote
Log In
Share Your Requirements
Azure IoT
LANCERLancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
Technologies Involved:
MICROSOFT AZURE
Area Of Work:
Amazon Cloud
Project Description
This project involved implementing a secure and scalable IoT framework using Microsoft Azure. The objective was to connect, manage, and monitor smart devices through Azure IoT services while enabling data insights and remote device control via dashboards and real-time telemetry.
Scope Of Work
The client required an Azure-based IoT architecture to onboard multiple smart devices, set up telemetry data pipelines, and build real-time analytics dashboards. The solution needed to ensure device-to-cloud communication, data security, and integration with Azure IoT Hub, Stream Analytics, and Power BI.
Our Solution
Oodles Solutions:
- Set up Azure IoT Hub for secure device onboarding
- Configured virtual machines and device simulators
- Enabled telemetry streaming using Azure Stream Analytics
- Integrated Power BI dashboards for real-time data visualization
- Established device-to-cloud and cloud-to-device messaging
- Secured data flow with authentication and access policies
- Automated deployments using Azure DevOps pipelines
- Delivered full documentation for scalability and maintenance