Memfault IoT Dashboard Demo Guide

This guide provides a detailed walkthrough of the Memfault IoT Dashboard demo, highlighting its functionalities and features. The guide will cover how to navigate the dashboard, filter device data, manage charts, and utilize advanced features like time synchronization. By the end, users should have a comprehensive understanding of how to effectively use the Memfault Dashboard for monitoring and managing IoT devices.

The demo begins with the opening of the general dashboard, which displays various statistics related to a fleet of IoT devices. The dashboard provides a comprehensive view of the devices, including the number of active devices.

Initially, the dashboard was fully hardcoded. However, it has been updated to allow dynamic interaction, providing more flexibility in data representation.

Users can filter the device data based on various criteria, such as hardware version and software version. This feature allows users to view specific subsets of devices.

Once the filters are applied, the dashboard updates to show the relevant data, such as the number of devices on a particular software version.

Users can add custom charts to the dashboard, enhancing data visualization. This feature requires write access for full functionality.

The dashboard allows users to switch to layout mode, enabling them to change the order of the charts according to their preferences.

Significant optimizations have been made to the data view, ensuring efficient performance and rendering. This includes custom-written data display and drawing SVGs.

A unique feature of the dashboard is the time sync mode. This allows users to compare data from different devices at the same time point by synchronizing time across tabs.

The dashboard includes settings for managing organization teams, allowing users to categorize members and assign permissions effectively.

This guide has provided an in-depth look at the Memfault IoT Dashboard, covering its main features and capabilities. By following the steps outlined, users should be able to navigate the dashboard efficiently, filter and view data, customize the layout, and utilize advanced features for enhanced data analysis.