Log Management
Log Management is the process of collecting, storing, analyzing, and managing logs generated by various systems, applications, servers, and devices on the network. Logs are detailed records of activities and events that occur in IT systems, such as user logins, system errors, configuration changes, and network communications.
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Key benefits
Platform Support - Reduce the amount of time and work needed for analysis.
Collecting Logs Without the Need for Indexing - Get Answers Quickly with Easy Usage and an Engine That Processes Logs in Large Volumes.
Artificial Intelligence Anomaly Detection Mechanisms - Use Logs to Detect Problems in a Fully Automated Way on the System.
Main Use cases
Log Monitoring
Store and analyze logs collected from systems to meet multiple standards and requirements for collecting and processing information contained in them.
Ability to store consistent logs
Improve auditing by having logs for a long time.
Collecting logs with their relationships
Easily analyze and significantly reduce MTTR by having logs, especially from container platforms such as Kubernetes or OpenShift.
Reduction of unnecessary notifications and alerts
Use Artificial Intelligence and reduce unnecessary notifications and alerts that often occur in systems that statically analyze logs. Thanks to advanced filtering capabilities, you will more precisely determine the addressee of a given problem.