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Zero Trust

August 24, 2023

How to build scalable and sustainable IoT infrastructure

Today, in an increasingly connected world where the expansion of the Internet of Things (IoT) offers businesses the opportunity to interconnect physical devices, sensors and information systems, generating a huge volume of data that can be used to improve operational efficiency, drive data-driven decision-making and reduce costs.

In this article, we will explore in detail how to build scalable and sustainable IoT infrastructure, focusing on its application in business. We will analyse the benefits that this infrastructure can bring to organisations, as well as the key steps for its implementation.

Benefits of Scalable and Sustainable IoT Infrastructure

Building scalable and sustainable IoT infrastructure offers a number of significant benefits for enterprises. These benefits include:

  • Improved operational efficiency: IoT enables process automation, real-time monitoring and resource optimisation, leading to greater operational efficiency. For example, in the machine manufacturing industry, IoT sensors can collect data from the production line, run quality checks, and make corrective adjustments to improve the product.
  • Data-based decision-making. IoT infrastructure provides a wealth of real-time data that can be used to make informed decisions. By analysing and understanding this data, companies can identify patterns, trends and opportunities, enabling them to optimise their operations and deliver better products and services.
  • Cost reduction: By monitoring and optimising resources, IoT helps reduce operational costs. For example, in laundry equipment management, IoT systems can control washing processes, detergents, energy and water use to minimise energy consumption and reduce costs.

How to calculate the ROI of an IoT project

In this webinar, we want to share some feedback and value propositions that we have identified at SEIDOR involving four categories: Operational efficiency (OE), strategic differentiation (SD), new business/revenue models (NBM) and regulatory compliance (RC).

Key Steps to Building Scalable and Sustainable IoT Infrastructure

To build scalable and sustainable IoT infrastructure, it is important to follow a number of key steps to ensure its successful implementation. These steps include:

Solution design

The key to building scalable and sustainable IoT infrastructure starts with solid planning and design. It is essential to be clear about the project objectives and the specific use cases you want to address with IoT. This will help identify the data to be collected, the actions to be taken, and how the IoT solution will integrate with existing operations.

In addition, the size and long-term scalability of the IoT infrastructure must be considered, ensuring that it has sufficient capacity to handle the increased number of devices and data generated.

  • Clearly defined business objectives: Before starting implement a new piece of IoT infrastructure, it is crucial to identify and understand the specific objectives you want to achieve, such as improving operational efficiency, reducing costs, etc. This will help guide the design of the infrastructure and ensure that it is aligned with business needs.
  • Identify specific use cases: Determine the use cases where IoT will be applied within your organisation. For example, asset monitoring, product tracking, predictive maintenance, among others. Each use case will require different devices and configurations, so it is important to identify them at the outset.
  • Consider long-term scalability: Make sure your IoT infrastructure is designed to grow and adapt as your business expands. Consider the ability to add new devices and sensors, as well as data processing and storage capacity.

Devices and sensors

Choosing the right devices and sensors is a critical factor in building successful IoT infrastructure. It is important to select devices that support specific business use cases and offer scalability.

Consideration must also be given to the security of the devices, both in their communications and the information hosted on them, the ability of the devices to receive remote updates, and the possibility of operating without connectivity and for information to persist temporarily on the devices.

  • Assesses specific needs: Carefully analyse your business needs and identified use cases to determine which devices and sensors are most suitable.
  • Consider compatibility and interoperability: Make sure that the devices and sensors you choose are compatible with each other and can communicate effectively with the IoT platform you will be using. This will facilitate integration and data exchange between the different components of your IoT infrastructure, firmware upgrades, as well as support new platform functionalities.

Connectivity

Connectivity is a key element in IoT infrastructure. The architecture design should include the appropriate connectivity solution based on your specific requirements.

On the other hand, it will be necessary to define the communication protocols, possibly adopting MQTT, HTTPS, or VPN. It is also necessary to define the channels through which information will be sent and received according to each use case.

  • Evaluate the connectivity options: Different connectivity technologies are available for IoT, such as Wi-Fi, Ethernet, Bluetooth, LPWAN, SIM networks. Consider the characteristics of each technology and choose the most suitable one according to your use case requirements, such as range, data transfer speed and connectivity costs.
  • Ensure adequate coverage: Verify that the connectivity infrastructure can provide adequate coverage in the areas where IoT devices will be deployed.

Data infeed and storage platform

A robust and scalable data management platform is essential to managing the large volumes of data generated by IoT devices. Choosing a platform that allows efficient data processing, cloud storage and techniques such as data compression is crucial to reducing costs and optimising performance.

Remember that there are different types of storage based on volume, as well as on query frequency and processing speed.

  • Select a scalable data management platform: Choose a platform that can handle large volumes of data generated by IoT devices. Consider options such as cloud services that offer scalability and flexibility to adapt to your changing needs.
  • Implement efficient storage techniques: It uses techniques such as data compression and cloud storage to optimise storage and reduce associated costs.
  • Comply with privacy and security regulations: Make sure your data management platform complies with applicable privacy and security regulations and standards. This involves the use of data encryption, user authentication, and controlled access to sensitive information.

Security

Security is a critical aspect of any IoT infrastructure. Companies should design a comprehensive security strategy to protect IoT devices against cyber threats and attacks. This includes device authentication, data encryption, and constant security monitoring. Keeping devices and software up to date with the latest security patches is also critical to mitigate known vulnerabilities.

On the other hand, it is also necessary to control that the information about the devices is adequate both in format and volume, avoiding the solution being saturated by the malicious behaviour by one or several devices.

  • Implement security measures across all layers: Ensure that all layers of your IoT infrastructure are protected, including devices, communications and platforms. This involves using encryption techniques, device and user authentication, and protection against denial of service (DDoS) and intrusion attacks.
  • Keep devices and software updated: The security of your IoT infrastructure depends on keeping devices and software up to date with the latest security patches. Establish processes to ensure regular updates and verify the compatibility of devices with new updates.

Data analysis and exploitation

Data management and analytics are key elements to get the most out of IoT infrastructure. Companies should use data analytics tools, real-time prediction, data dictionaries, and machine learning to extract valuable information from the data collected. This will help optimise operations, make data-driven decisions, and improve overall business efficiency.

  • Use data analysis tools: Implement data analytics and machine learning tools to extract valuable insights from the data generated by IoT devices. These tools will help you identify patterns, trends and anomalies, and to make informed decisions based on the results.
  • Optimise operations: Use the insights gained through data analytics to optimise your business operations. For example, if data indicates high energy consumption in a certain piece of equipment, you can take measures to improve its efficiency and reduce costs.

Monitoring and observability

Site Reliability Engineering (SRE) holds that monitoring and observability are essential to ensure optimal performance of IoT infrastructure. Companies should establish systems to continuously monitor the performance of IoT devices, the IoT platform, and the solution as a whole and to detect and anticipate potential problems.

  • Establish a continuous monitoring system: Implement a monitoring system to oversee the performance of your IoT infrastructure. This will allow you to detect problems and take corrective action in a timely manner.
  • Regular maintenance: Schedule regular maintenance tasks to ensure the proper functioning of IoT devices and sensors.

Conclusion

Building scalable and sustainable IoT infrastructure is critical to business success in today's digital age. With careful planning and consideration of key issues, businesses can make the most of the opportunities offered by the IoT. Well-designed infrastructure will optimise operations, improve efficiency, make data-driven decisions, and deliver exceptional customer experiences.

However, it is important to keep in mind that building IoT infrastructure is an ongoing process and must be aligned with technological changes and evolving business needs. By addressing these challenges strategically, businesses will be poised to drive digital transformation and ensure a successful future in an increasingly connected world.

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