Track energy and water usage. Identify anomalies to optimize operations. Automatically detect spikes, leaks, and other inefficiencies in your electricity, gas, and water consumption. Gain real-time insights into your resource consumption. Get proactive alerts for potential issues in your operations. Monitor electricity, gas, and water use. Our system automatically detects unusual consumption patterns, helping you identify and address potential problems.
The lack of an automatic mechanism to quickly detect anomalies, errors and deviations in systems increases the need for manual manpower, negatively affecting operational efficiency, resource optimization and overall efficiency. Delayed detection of some errors that could be prevented in time leads to greater problems and costs.
In systems that regularly produce data, it is possible to detect problems in a timely and automatic manner with this data.
FaultTracer, an adaptable solution for fault detection, finds the fault or error you define according to your own criteria and sends it as a work order/call to your system via an API.
By noticing malfunctions or errors in time, you can intervene quickly, increase your service quality, and shorten your maintenance and repair times.
It uses completely open source code and tools.
You can adapt it to your own needs and change the codes.
It can operate in physical, virtual, cloud and container environments.
It provides reporting on fault detection at the desired frequency and gives an alert when the system encounters a problem.
The system works automatically on its own, no manual intervention is required.
Informing maintenance teams simultaneously and thus accelerating maintenance/repair processes.
It reduces manual intervention, reduces workload and related errors, and accelerates fault detection.
All components are open source. There is no dependency on any brand or company.
Solving the problem before the user/customer realizes it and increasing satisfaction.
The Apache Spark cluster on which the application runs can also be used as an ETL tool with Python or SQL. Spark jobs can be orchestrated with Jenkins.
