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Development of a Cloud-Based IoT Infrastructure Management SaaS Platform
  1. case
  2. Development of a Cloud-Based IoT Infrastructure Management SaaS Platform

Development of a Cloud-Based IoT Infrastructure Management SaaS Platform

yalantis
Manufacturing
Logistics
Supply Chain

Challenges in Managing Industrial IoT Infrastructure

The client currently operates a siloed, on-premises IoT network management system, which limits remote access, real-time monitoring, and quick deployment. This results in higher operational costs, delayed issue detection, and reduced customer satisfaction. The client seeks to transition to a scalable, cloud-based SaaS platform to enhance security, accessibility, and functionality across their IoT device fleet.

About the Client

A manufacturing company specializing in IoT sensors, meters, and gateways for industrial liquid circulation systems aiming to migrate and modernize its IoT management infrastructure.

Goals for Modernizing IoT Infrastructure Management

  • Migre existing on-premises IoT management system to a scalable cloud-based SaaS platform.
  • Reduce end-user costs and increase customer loyalty through a more accessible solution.
  • Accelerate system deployment and onboarding processes for new customers.
  • Enable advanced platform functionalities including user role management, remote device onboarding, and real-time monitoring.
  • Improve issue detection and resolution times, enabling timely maintenance and reducing equipment failures.

Core Functional Capabilities for the IoT Management Platform

  • User authentication with multiple roles and permissions for hierarchical data management.
  • Remote device onboarding with secure initial setup over the cloud.
  • IoT network setup, configuration, and maintenance workflows including firmware over-the-air (FOTA) updates.
  • Visual mapping of IoT network components, connections, and interactions.
  • Data visualization dashboards and manual analysis tools for end users.
  • Automated and customizable reporting at various data hierarchy levels.
  • Critical alerting system with notifications, logging, and escalation procedures.
  • Subscription and billing management for SaaS customers.
  • Admin interface for platform effectiveness monitoring and management.

Preferred Architectural and Tech Stack Considerations

Cloud platform selection similar to AWS IoT Core for device-cloud communication.
Microservices architecture with Kubernetes for scalable deployment.
Managed cloud database services with native scaling and backup capabilities.
Security measures including API gateways, CDN usage, and static content hosting.
Implementation of metrics, monitoring, and notification services.

External System Integration Requirements

  • IoT cloud platform (e.g., AWS IoT Core, comparable alternatives) for device connectivity.
  • Firmware management system for device updates.
  • Billing and subscription management systems.
  • Business intelligence tools for admin analysis.
  • Notification and alert systems.

Key Non-Functional System Requirements

  • Scalable architecture supporting increasing device fleet and user base.
  • High system availability with minimal downtime.
  • Robust security measures ensuring data integrity and access control.
  • Fast response times for user interactions, ideally under 2 seconds.
  • Compliance with industry data standards and best practices.

Projected Business Impact and Benefits

The deployment of a cloud-based IoT management SaaS platform is expected to significantly reduce end-user operational costs, improve equipment issue detection and resolution times, and enable rapid onboarding of new customers. This transformation aims to increase customer retention and expand market reach, similar to achieving a versatile, secure, and scalable IoT infrastructure that enhances overall operational efficiency.

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