AKCP Quicklime

Quicklime – High Availability Monitoring for Data Center Optimization

Quicklime is a powerful and versatile platform for high availability monitoring, specifically developed for complex and business-critical infrastructures. As a central monitoring software, it combines data center infrastructure management, video analytics and sensorCFD in one integrated solution. This gives companies holistic control over their entire data center infrastructure and enables them to take efficiency, security and sustainability to a new level.

The focus is on data center optimization through an intelligent combination of real-time data, sensor integration and AI-based analysis. Quicklime enables seamless realtime visibility across all relevant assets, from the entire data center down to rack or device level. Sensors are linked directly to assets, enabling precise and context-related evaluation of performance, environmental, security and network data.

A central element of the platform is sensorCFD, an innovative further development of classic CFD data center analyses. While conventional computational fluid dynamics models are mainly used in the planning phase, sensorCFD uses live sensor data to enable near real-time optimization during ongoing operation. As a result, the data center is not only simulated, but continuously monitored, evaluated and optimized.

By using AI analytics, the data obtained is intelligently evaluated and translated into concrete recommendations for action. Quicklime creates detailed energy reports, calculates potential savings and determines the coefficient of performance of the data center. In this way, the monitoring software becomes a strategic tool for data center energy optimization and delivers a measurable return on investment.

The scalable architecture based on a Kubernetes cluster ensures high availability, fail-safety and performance even with thousands of connected sensors. Quicklime can be operated both on-premise and in the cloud and supports distributed installations across multiple locations. This makes the platform ideal for modern enterprise environments with the highest demands on stability, flexibility and future viability.

Realtime visibility and digital twin for your data center

With Quicklime, you create a digital twin of your data center. The platform enables visual navigation from the overall view down to individual racks or assets with just a few clicks. Sensor values are assigned directly to the respective components, so you always gain precise insights into power consumption, temperature distribution, airflow, security status or network condition.

• Holistic visualization of the data center infrastructure
• Individually configurable dashboards
• Drill-down function from site to asset level
• Integration of third-party sensors via Modbus, Bacnet, SNMP and MQTT

Data center energy optimization with sensorCFD

Energy efficiency is one of the biggest cost drivers in the data center. Quicklime sets new standards here with sensorCFD. Based on live sensor data, a CFD data center analysis is generated that precisely maps air movements, temperature distributions and heat transfers. This makes it possible to reliably identify hotspots, inefficiencies and optimization potential.

sensorCFD works as an iterative process. Sensor data flows continuously into the CFD model. The results are then evaluated by AI analytics in order to generate concrete improvement suggestions. After implementation, the measures are simulated and validated again. Through this closed optimization loop, energy savings of up to ten percent can be realized.

• Sensor-based CFD analysis in near real time
• Automatically generated energy report
• Calculation of energy savings and coefficient of performance
• Concrete recommendations for action to reduce energy losses
• Identification of stranded capacity and unused cooling reserves

Identify stranded capacity and make optimal use of cooling capacity

A common problem in data centers is unused or incorrectly distributed cooling capacity. Quicklime compares IT loads with the available cooling capacity and shows where stranded capacity can be unlocked. This enables maximum utilization of existing resources while at the same time reducing investments in additional infrastructure.

• Comparison of cooling capacity and IT load
• Transparent visualization of load distributions
• Optimization of airflow and rack layout
• Support for planning expansions

Data center infrastructure management at the highest level

The core of DCIM comprises all assets of your infrastructure. Quicklime enables precise mapping of your data center and the linking of all devices with corresponding sensors. Environmental parameters, performance values and security data are centrally recorded and evaluated.

• Asset management with complete location assignment
• Linking assets with environmental, power and security sensors
• Central management of all infrastructure components

Power train mapping and PUE monitoring

• Monitoring of the entire power supply
• Analysis of PUE, loads and utilization levels
• Load distribution and planning of future expansions
• Integration of AKCP power meters, third-party meters and intelligent PDUs

3D data center visualization

• 3D modeling of the data center
• Placement of assets in racks
• Direct linking of 3D objects with live sensor data

Network cable mapping

• Assignment of assets to switches and ports
• Creation of detailed cable plans
• Documentation of source and destination points, lengths and labels
• Management of cable trays and routes

Video analytics with AI support

Quicklime integrates video surveillance seamlessly into the monitoring software. Video feeds are treated like sensors and can trigger event notifications. With the help of AI analytics, specific scenarios can be defined, such as detecting missing protective equipment, entering unauthorized areas or identifying potential sources of danger.

• AI-based video analytics in real time
• Event-based notifications
• Synchronization of video events with sensor data
• Intelligent evaluation of recorded sequences via AI prompting

Scalable architecture with Kubernetes cluster

The technical foundation of Quicklime is a fault-tolerant, scalable architecture based on Linux. The use of a Kubernetes cluster enables automatic load distribution, scaling and failover mechanisms. Even with thousands of connected sensors, performance remains stable and reliable.

• High availability monitoring with redundancy
• Automatic scaling with increasing sensor load
• Synchronized data replication via Kafka and Postgres
• Geographically distributed installations with low latency
• Cross-site clusters with less than five milliseconds latency
• Possible distance of up to 300 kilometers with dedicated fiber optic connection

Flexible deployment options

• On-premise installation in your own data center
• Cloud deployment for maximum flexibility
• Hybrid scenarios for individual IT strategies

Your benefits with Quicklime

• Holistic data center optimization
• Measurable data center energy optimization
• Intelligent AI analytics for well-founded decisions
• Central data center infrastructure management
• Scalable high availability monitoring
• Verifiable return on investment through energy savings

Quicklime is more than classic monitoring software. The platform combines DCIM, CFD data center analysis, video analytics and modern Kubernetes cluster architecture into an integrated overall solution. You gain transparency, control and concrete optimization suggestions that make your data center more efficient, more sustainable and future-proof.

Available variants:

• Quicklime single-node installation up to 500 data points
• Quicklime single-node installation up to 1,000 data points
• Quicklime single-node installation up to 2,000 data points
• Quicklime single-node installation up to 4,000 data points

Note:

• One data point is any sensor value
• A temperature/humidity sensor therefore supplies two data points, a power meter with ampere, voltage and kWh three.
• Data points can be physical or virtual AKCP sensors

Purchase information:

After the end of the first year, 20 percent of the purchase price is due per year as an annual fee.