Use-Case
The integration of log management and monitoring tools serves as the cornerstone for businesses striving to develop stable and efficient software or applications.
These tools provide invaluable insights, delving into the infrastructure's depths and enabling timely actions to prevent undesired interventions or potential downtimes. Let's delve into the use cases and best practices for logging, monitoring, and IT analytics in general.
IT Monitoring
IT monitoring tools offer comprehensive insights into operational processes across application levels. They furnish detailed reports on key metrics such as average response time, server and cloud resource usage, CPU consumption, and availability rates. These tools gather essential information and present it through intuitive dashboards and data charts.
There are two primary types of monitoring reports:
-
Real-time Monitoring: This involves constant access to current environment data,
-
Trends Monitoring and Predictive Analytics: By analyzing historical data, this type offers insights into trends and system behavior patterns, providing a comprehensive view of the IT ecosystem across any desired period.
In the second case, monitoring and analytics enables historical data overview on trends and system behaviour patterns. It provides a long-standing view of IT ecosystem from any period you need.
Examples of metrics to track include requests and responses per second, response time percentiles, system load, CPU consumption, and active connections. Real-time reports aid in immediate bug resolution, while historical data is utilized for performance analysis and identifying trends.
Log Management
Logs encapsulate text records of all events during application operations and are stored in journals. Log management involves recording, processing, and overseeing these logs—an essential aspect of IT monitoring.
Data recorded in log management systems serves various purposes:
-
Real-time event tracking to preempt unforeseen issues.
-
Alarms triggered by specific word patterns for swift preventive actions.
-
Identifying misconfigurations and performance issues.
-
Root cause analysis for optimizing infrastructure performance.
-
Monitoring metrics and meeting regulatory requirements like HIPAA, PCI, MIFiD, etc.