Quicklime

Quicklime data-center infrastructure management (DCIM) software 

for managing and monitoring all your AKCP devices and sensors (including 3rd party sensors), customizing dashboards, graphing, alerts, distributing firmware updates, and remotely configuring devices

Quicklime is best-in-class data-center infrastructure management software (DCIM).

Quicklime is a powerful and versatile centralized monitoring and management platform for complex infrastructures. Designed for mission-critical environments, it provides comprehensive modules with AI powered analytics for data-center infrastructure management (DCIM), video surveillance and sensorCFD.

Monitor all your deployed sensors, intelligent PDUs, backup power systems from a single user interface. 3D data center visualization, rack mapping, capacity planning, asset tracking and more.

With Quicklime you can create customized desktops that drill down from a data center view to an individual rack, or asset in a few clicks. Sensor data feeds into assets for granular insights into each assets power, environmental, security or network status. Integration with third party sensors via popular protocols such as Modus, Bacnet, SNMP and MQTT.

Quicklime Modules
Quicklime consists of modules that get purchased separately based on your data-center infrastructure management needs. Modules include:

• Sensor Monitoring - for managing and monitoring all your AKCP devices and sensors (including 3rd party sensors), customizing dashboards, graphing, alerts, distributing firmware updates, and remotely configuring devices. Pricing is based on sensor data-points count.

• Data-Center Module - for energy optimization, capacity planning, therma-risk monitoring, power-train mapping, efficient energy-usage analysis, network-cable mapping, asset management and data-center visualization. Pricing is based on rack count.

• sensorCFD™ Module - an AI-driven, real-time data-center temperature and airflow modeling for sensor-constrained CFD (computational fluid dynamics) modeling, with actual values and performance data that accurately simulates your data centers airflow, cooling capacity and efficiency. Pricing is based on rack count.

• Video Module - Video-camera streaming, recording, playback and synchronization with sensor events, utilizing AI prompting to create video analytical sensors that watch for specific events such as employees not wearing protective gear, crossing into unauthorized areas or checking for hazards. Pricing is based on camera count.

• Fault-Tolerant and Failover - Scaleable, fault tolerant architecture designed for large-scale deployments with thousands of sensors. This configuration ensures uptime, redundancy, and seamless failover, making it the best choice for enterprise and data center operations.

Real-time Visibility and Insights
Construct a digital twin of your data center with real-time insights for any assets at anytime. Connect sensors with assets for holistic view. Quicklime DCIM provides real-time insights to data center performance metrics such as PUE. 2D and 3D heat-maps, ∆T and ∆P, humidity, security power and assets.

Data center monitoring and optimization should not be complicated or difficult to achieve. AKCP provide an approach to monitoring, in real-time, your data center environmental and power conditions. Constraining CFD analysis with live sensor data to create easy to use reports on data center efficiency. Whether your critical facilities are remote, difficult to access sites, or simply spread over a wide area, the ability to monitor all environmental conditions from a single user interface is essential.

Data Center Energy Optimization
Data center optimization focuses on improving the efficiency, performance, and sustainability of data-center facilities. Typical strategies involve optimizing airflow through computational fluid dynamics (CFD) analysis, which simulates air movement, temperature distribution, and heat transfer within the data center to identify hotspots, inefficiencies, and optimal layouts for racks and vents.

CFD models are used in the design phase to test various configurations such as adjusting aisle containment, fan speeds, or placement of perforated floor tiles. Quicklime incorporates CFD tools that can be used at the design stage, but more importantly, during operation. sensorCFD is a sensor backed CFD analysis for accurate, near real-time optimization.

sensorCFD is an iterative process, where sensor data feeds into the CFD model, the results are then analyzed using advanced AI tools, which produces recommendations for improvements. These are then implemented and validated through further simulations. Up to 10% energy reductions can be achieved through this process.

sensorCFD creates the CFD analysis based on live sensor data. Connecting the sensor data and asset mapping of Quicklime it generates a CFD analysis of your facility. The results are fed into an AI analytical tool that produces a report with suggested problem areas and improvements. An Energy report is also produced that calculates estimated energy savings and a coefficient of performance (COP) of your data center.

It is here where the true value of Quicklime can be found, where energy is saved and the software becomes more than simply a monitoring and management tool, but an asset that provides a return on investment.

Monitoring
Fully SNMP compliant, monitor third party devices with Quicklime virtual sensors. Integrate intelligent PDUs, UPS systems, monitor server loads, system uptime and calculate live PUE.

Quicklime monitoring for all your AKCP sensors. Manage sensor thresholds, alerts and reports. Customizable desktops to display sensor data with gauges, graphs, rack mapping and data center visualization through 2D and 3D maps. Close integration to AKCP thermal-map sensors displays rack inlet, outlet and △T values for each of your racks. Identify hotspots and cold spots in your data center.

Capacity Planning
Plan where you can increase data center capacity. Find racks with available space, check for sufficient power and identify stranded capacity that is wasting energy.

With Quicklime asset tracking and management feature you can find capacity in your data center. View available rack space, with power meters check for sufficient power overhead. With the addition of temperature monitoring and cabinet rack maps, find where you have colds pots and capacity can be increased without the need for additional cooling.

Asset Management
At the heart of the DCIM are all of the appliances and equipment that make up your infrastructure. Map out your data center and locate the assets. Connect the assets with sensors to monitor the environmental, power or security parameters of those assets.

Thermal Risk Monitoring
Protect IT equipment from high temperatures and monitor for hotspots in your racks. Meet ASHRAE recommendations for data center operating temperatures.

Efficient Energy Usage
Efficient use of cooling, check for cold spots in your data center. Areas that are over-cooled or under utilized. Improve your energy efficiency, reduce operational costs.

AKCP sensorCFD performs a CFD analysis of your data center, utilizing live sensor data as the input. This sensor constrained model more accurately simulates your data centers airflow, cooling capacity and efficiency.

Through the analysis of multiple sensors per rack a model of your data centers thermal capacity is generated. Identification of stranded capacity, over cooled and under utilized cooling units enables proven energy savings.

Power Train Mapping
Monitor your facilities power, PUE, loads and power utilization. Balance loads and plan Data Center expansion. Power data comes from AKCP power meters, third party power meters or intelligent PDUs.

Network Cable Mapping
Connect assets to their relevant network switches and ports. Generate cable schedules with source and termination points, lengths and labels. Manage cable pathways and determine run lengths.

Data Center Visualization
2D and 3D data center visualization. Draw your data center in 3D, add assets to racks and connect assets with sensor data. Drill down from a world view to individual sites, down to rack level. Quickly identify problem areas from an overview map of your data center.

Quicklime software includes built-in drawing tools to quickly layout your data center floor-plan, complete with containment, raised flooring, racks and CRAHs. With a click of a button convert the floor-plan to 3D and visualize your data center, individual racks colored by status. Drill down to an individual rack, view installed assets, and display AKCP thermal map sensors. Implementing sensorCFD™ displays visual representation of airflow in your data center.

sensorCFD™
sensorCFD is an add-on tool for Quicklime. Use it as traditional CFD modelling of your data center with predictions of performance and airflow. Add in AKCP sensors and you have sensor constrained CFD modeling with actual values and performance data.

Video Analytics
Video feeds in Quicklime can be handled like any other sensor with notifications based on sensor events.

Utilize AI prompting to create video analytical sensors that watch for specific events such as employees not wearing protective gear, crossing into unauthorized areas or checking
for hazards.

Use AI Prompting to review recorded video for specific events and synchronize events with sensor data.

Fault-Tolerant and Failover - Kubernetes Linux Cluster
AKCP's scaleable, fault tolerant architecture is designed for large-scale deployments with thousands of sensors. This configuration ensures uptime, redundancy, and seamless failover, making it the best choice for enterprise and data center operations. Built on Kubernetes, it supports high availability and scalability, allowing you to expand the cluster as your monitoring needs grow. Services automatically balance and scale across nodes, ensuring reliability, fault tolerance, and performance under heavy sensor loads.

Quicklime can be deployed either on-premise or in a cloud environment, giving you flexibility to match your IT strategy and resilience requirements. For true high availability and fault tolerance the cluster does not need to be within the same facility. The individual servers can be distributed over a wider geographical area. So long as latency is below 5ms there will be no issues with the synchronous replication of data between Kafka and Postgres. Typically this means, with a dedicated fiber line, you could have the facilities up to 300 km apart.

Hardware
AKCP offers a wide range of sensors. Specialty sensors for the data center include cabinet thermal maps, contactless current sensors and power meters. Close integration of AKCP sensors with Quicklime gives a complete end to end monitoring solution for your data center.

Cross Platform Access
Access the Quicklime user interface from any device such as a laptop, smart-phone, Windows or Linux machine. All you need is a web browser (Google Chrome recommended). There are no apps to install or packages to download.

Need help with product selection?
Call KVMGalore at 1-800-636-3434, or submit your question on KVMGalore HelpCenter.