All recorded observations and metrics are stored as raw data. Raw data is a simple text file, produced by a recorder, which fetches data from a system, device or sensor, which has not been modified or changed in any way.
To help you, we have carefully selected and analyzed, for each industry, the most needed metrics for different business cases, by grouping and classifying these metrics, to build a very efficient data analysis process.
A data recorder supports one or many communication protocols to fetch data from different sources and technologies: industrial equipment, ICT enterprise, weather or environment sensors, being able to collect different parameters and metrics.
Each data recorder will save all collected metrics and parameters under one or many text files on disk. These files are simple, regular CSV text files, universal compatible with any software or system.
Recorders are light software probes, which can extract data from different sources, being able to run interactively or in continuous mode. Developed using a dynamic programming language, are very conservative in system resources usage.
Built as an open-source software, the data recorders are simple to install, customize and adapt to any business or usage. If you need support, you can purchase Kronometrix IoT Gateway, a ready integrated product, including commercial support.
One Data Recording Package –
Multiple Business Cases
Get system performance data from any virtual or bare-metal systems.
Record web applications response time and status for different installations.
Ensure all your digital certificates are valid no matter of your service or deployment.
Storage & Network Equipment
Retrieve data from different networks or storage systems like: HVAC or UPS.
Get performance data from services like MariaDB, NGINX or other TCP/UDP services.
Keep track of file system usage, directories and files allocation for any system.
Listen to incoming network data using different network protocols, like UDP or TCP.
Get data from NTP Internet servers to understand the accuracy of time services.
Captures data from different industrial installations and equipment.
If you need to access and capture more data, from different industries and technologies, check out our IoT gateway, which includes better connectivity and offers commercial support.
What is a Data Recorder?
Data Recorders is a simple software probe, designed to connect and fetch data from one or many data sources: computer systems, web and enterprise applications, weather and environment sensors, or IoT equipment, using various communication protocols.
How does a Data Recorder work?
A data recorder can connect to one or many sources of data, using different communication protocols or API interfaces. For example, rs485rec, the Industrial IoT data recorder, can use MODBUS or SERIAL protocols to fetch data from various devices.
All collected metrics are structured as data messages. A data recorder can process one or many data messages at the same time, depending on the technology and usage: ICT computer system and application performance, weather conditions or home indoor air quality.
After establishing a valid connection with the data source, the recorder will start to read and gather all metrics defined under the recorder configuration file. The metrics can be read sequential, one by one or asynchronously reading an entire group.
All recorded parameters and metrics are saved as text based files, using the universal comma-separated values file format. This way it is simple to share data with any other system and deliver it for data consolidation, analysis and visualization.
The recorder is designed as a CLI (Command-Line Interface) application. Such way, the recorder can run and execute as any other regular CLI utility, and help for immediate troubleshooting or debug situations and use-cases.
The recorder can switch and run for longer logging activities, fetching and saving data without any data interactions. This is the mode necessarily if you need to record and transport data for consolidation, analysis and visualization.