Home » Quicklime Tutorials » Adding Custom Map Icons in AKCP Quicklime
Personalize Your Maps: Adding Custom Map Icons in AKCP Quicklime
When your Network Operations Center (NOC) team is staring at a data center floorplan during a critical alert, every second counts. Standardized icons for sensors, cameras, and racks are great, but sometimes your organization has its own established visual language.
If your team is used to a specific symbol for a water leak sensor, or a certain style of icon for third-party CRAC units, forcing them to learn a new visual system can slow down response times. In AKCP’s latest Quicklime tutorial, they demonstrate how easy it is to upload and deploy your own custom map icons, tailoring the DCIM dashboard to perfectly match your team’s workflow.
Why Customize Your Icons?
A map is only as useful as it is readable. Custom icons allow you to seamlessly integrate Quicklime into your existing operational playbooks. You can use specific shapes for different vendors, color-code non-standard equipment, or simply use larger, higher-contrast icons to improve accessibility and visibility on large NOC wall displays.
How to Upload and Set Custom Icons
The process of swapping out default icons for your own graphics is quick and built right into the Quicklime Maps interface.
Before heading into Quicklime, ensure your custom icons are saved in a web-friendly format, typically as transparent PNG files. Keep them relatively small so they don’t clutter your floorplan.
Customizing your icons is a simple step that significantly enhances the usability of your digital twin. Check out the full video linked above to watch the step-by-step process of importing and assigning custom graphics.
- About the Author
- Latest Posts

For over two decades at AKCP, I have been focused on a single mission: bringing complete visibility, security, and efficiency to the world’s critical infrastructure.
I believe that in the modern data center, AI is only as good as the data it receives. My goal is to ensure facilities have the precise sensor facts needed to control AI opinions, ultimately reducing PUE, releasing stranded capacity, and ensuring maximum uptime.
