The Centralisation and Unified Control in Large Scale IoT Deployments

As IoT deployments grow in scale and therefore complexity, the need for centralisation and unified control becomes increasingly important. With many organisations deploying IoT technology to address multiple use cases, the risks of installing multiple parallel solutions are very real.

Perhaps you're just about to embark on an IoT scale up project, or maybe you're mid-project and already feeling the pain. Either way, if you're interested in best practice, innovation and efficiency on large scale IoT projects, read on.

The Need for Common IoT Management Infrastructure

Large scale deployments will increasingly involve a wide array of devices and connectivity, all delivering data to cloud platforms and applications with different needs. Managing IoT software and hardware in such a fragmented manner can lead to inefficiencies, security vulnerabilities, and operational silos. To address these challenges, a centralised toolset for managing IoT at scale can provide:

1. Streamlined Management: A centralised system simplifies device onboarding, configuration, installation and monitoring, reducing administrative overhead.
2. Enhanced Security: By centralising control, organisations can implement uniform security policies and respond swiftly to threats.
3. Data Integration: Centralisation allows seamless aggregation of data from diverse devices operating on different connectivity. It also reduces the burden of integration with onward systems and applications.
4. Scalability: Centralised IoT toolsets are normally designed for scale out of the box (OOTB).

Key considerations when selecting a solution or partner for your IoT Management Infrastructure

To effectively implement centralisation while mitigating risks, keep in mind the following considerations:

1. Scalability and Flexibility: Choose a solution designed to handle growth and adapt to changing needs without extensive overhauls.
2. Comprehensive Integration: Opt for systems that integrate with a wide range of devices and platforms to avoid vendor lock-in.
3. Real-Time Monitoring: Ensure the solution offers robust real-time monitoring and analytics capabilities for proactive issue resolution.
4. Customisation: Look for systems that can be customised to meet industry-specific requirements and unique organisational goals.
5. Vendor Support and Reliability: Partner with providers who offer reliable customer support, robust documentation, and a proven track record of success.

Technical Architecture Blueprint

When selecting an IoT solution for your scaled project, give consideration to the following layers of your technical architecture:

1. Device and Edge: This layer encompasses IoT devices and edge gateways that collect, preprocess, and transmit data. It ensures efficient local processing and protocol translation.
2. Communication Infrastructure: A robust communication layer using protocols like MQTT, HTTPS, and LoRaWAN ensures secure and reliable data exchange across the ecosystem.
3. Centralised Management Platform: The core platform integrates all devices and systems, offering tools for monitoring, analytics, and control. It provides scalability and high availability.
4. Data Analytics and AI Integration: Advanced analytics and AI models derive actionable insights from aggregated data, enabling predictive maintenance and optimisation.
5. Security and Compliance Framework: PIntegrated security measures, such as encryption, access controls, and threat detection, protect the entire IoT ecosystem while ensuring regulatory compliance.

IoT Management Spotlight: The Daizy IoT toolset

In recent years, the phrase ‘IoT Platform’ has been somewhat misused. Often, solutions are marketed as a one-stop solution that takes care of a user’s end-to-end IoT management needs. Unfortunately, many solutions have features which focus on delivering data visualisations and fail to consider the challenges of managing devices, connectivity or integrations at scale.

With their truly end-to-end IoT toolset, Daizy is bucking this trend, and in doing so, they are emerging as a truly agnostic and scalable IoT ecosystem solution.

Drawing on many years of experience solving the same challenges in the mobile internet market, Daizy was founded on the belief that solving three key challenges will unlock transformational growth in Enterprise IoT:

• Simple and efficient device management
• An agnostic solution that works with any device or connectivity
• Ensuring that IoT technology and data are integrated with existing business systems

With Daizy, organisations who are implementing IoT applications and integrating BI tools have access to a single feed of human readable data:

• Fully automated payload decoding into a human readable format for any device
• OOTB support for industry standard integrations such as MQTT, Webhooks, an API, Azure and AWS
• Flexible and scalable device and project management capabilities that take care of all the deployment and in-life management requirements for IoT deployments

Future proofed and scalable, Daizy is being adopted by a growing number of Enterprises, who are achieving real word ROIs, a competitive advantage and delivering on their business goals.