Network-level KPIs – Operating and Monitoring IoT Networks

These KPIs measure the overall performance and health of the IoT network and include network latency, packet loss, and throughput. By monitoring these KPIs, organizations can identify potential network bottlenecks and take corrective actions to ensure smooth network operation.

User-level KPIs

These KPIs measure the user experience of IoT applications and services and include response time and availability. By monitoring these KPIs, organizations can ensure that end users are satisfied with the performance of IoT applications and services.

Security KPIs

These KPIs measure the effectiveness of security controls in place to protect IoT devices and data and include the number of security incidents, the severity of incidents, and the time to resolution. By monitoring these KPIs, organizations can identify potential security threats and take corrective actions to prevent them.

Business-level KPIs

These KPIs measure the business impact of the IoT network and include revenue generated, cost savings, and customer satisfaction. By monitoring these KPIs, organizations can understand the overall value of their IoT networks and identify opportunities for improvement.

Selecting, analyzing, and monitoring KPIs

Selecting, analyzing, and monitoring KPIs is an essential step in implementing an effective continuous monitoring strategy for IoT networks. Here are some steps to follow to ensure that KPIs are selected, analyzed, and monitored effectively:

Identify your objectives: Before selecting KPIs, it is important to identify your monitoring objectives. This involves understanding what you want to achieve with your monitoring program and what metrics will help you track progress toward those objectives.

Choose relevant KPIs: Once you have identified your objectives, choose KPIs that are relevant to your objectives. Ensure that the KPIs are specific, measurable, achievable, relevant, and time-bound (SMART).

Analyze the KPIs: Analyze the selected KPIs to ensure that they provide the necessary insights into the performance and health of the IoT network. Use data analysis tools to identify trends and patterns in the KPI data and gain insights into areas that may require improvement.

Monitor the KPIs: Implement a system for monitoring the KPIs continuously. This can be achieved using tools such as AWS CloudWatch or other monitoring tools. Set up alerts and notifications to inform relevant personnel when certain KPIs or metrics fall outside predefined thresholds.

Regularly review and adjust KPIs: Regularly review and adjust your KPIs to ensure that they remain relevant and aligned with your monitoring objectives. This involves regularly analyzing KPI data and using the insights gained to refine KPIs as necessary.

Now that we’ve learned how to use KPIs, we can look to understand the different monitoring capabilities that are present both on-premises and on the cloud.

Monitoring capabilities on-premises and on the cloud

Monitoring capabilities are certainly an aspect that is crucial to understanding the limits of how far we can go within what we invest in our solutions. In this section, we will look at how some monitoring capabilities can be taken into consideration in designing our IoT networks.