IT infrastructure monitoring systems are information systems that ensure continuous monitoring of local and cloud infrastructure to detect and promptly eliminate malfunctions and errors in operation.
Monitoring involves the constant collection and analysis of various system parameters. Thanks to the data obtained, it is possible to analyze the operation of each element in numerical terms. Due to this, it is possible to notice problems in individual services and understand how this affects the operation of the entire IT infrastructure.
There are a large number of parameter tracking levels, each of which uses its own tools and methods.
PHYSICAL EQUIPMENT MONITORING
Regardless of the type and features of the IT infrastructure, its use requires the presence of servers in the data center (both proprietary and rented), virtual machines running locally, and deployed in the cloud. This means that each device will have its own performance parameters that need to be constantly monitored.
The main criteria for monitoring the physical infrastructure include the following:
network load;
processor load;
number of operations performed;
number of tasks launched for execution;
availability of free space in RAM and on the hard drive.
Analysis of these parameters allows you to prevent complete or partial downtime in the infrastructure. For example, checking the network load allows you to identify critical indicators and understand that the system needs to be scaled. If the space in the RAM suddenly decreases, then you can suspect a hack of the system.
APPLICATION MONITORING
If the equipment is in perfect working order, but some services or programs do not start for users, then errors are possible at this level.
Application metrics are used for monitoring, by which developers can track the main parameters. The following information is most often analyzed:
Number of requests for a certain time (data can be tracked both per hour and per minute - it all depends on the expected traffic).
Number of active users for the selected time.
Number of new records in the database.
Number of errors that were registered in the system.
At this level of monitoring, specialized DBMS are used, which help calculate all these metrics and consolidate them into a single database. Almost always, graphical tools are used to display the obtained statistical data.
Modern RMM systems (Remote monitoring and management), in addition to the monitoring function, include a large number of auxiliary functions required by system administrators. They allow:
Perform a remote connection to the device.
Install new or update existing software remotely (including configuration changes).
Detect new devices and automatically install the RMM agent and configure the device.
Perform alerts and provide reports on the dashboard.
Conduct a dialogue with users using the built-in ticket system and many other functions.
2K Software specialists will help develop custom RMM solution systems of any complexity. Our team of experienced developers provides customized solutions that meet the unique needs of our clients.
Our solutions are designed with flexibility and compatibility in mind, which makes it easy to integrate with various platforms and third-party development tools. Among them:
InfluxDB: Integration with a powerful temporary database for real-time data collection and analysis.
Telegraf: Supports data collection using this universal agent for monitoring and metrics.
Prometheus: the ability to integrate with this popular monitoring and alerting system, providing reliable tracking of metrics and events.
Grafana: compatible for creating visual dashboards and analyzing data collected from various sources.
Our solutions are open to integration with other third-party systems and tools, allowing users to customize them to meet their unique business requirements.
In addition to developing monitoring products, we can also offer the development of system applications in the following areas: