Fast. Simple. Powerful.
NetGain Log Analytics provides log ingestion, powerful query capabilities, watcher and reports.
NetGain Log Analytics is designed to collect systems logs from a variety of IT devices, including security devices, servers, network devices and more, whether they are on-prem or in the cloud. The logs are mapped using a common schema, that will allow intelligent search and correlation. The user can then generate custom dashboards and compliance reports from the logs.
Comprehensive Log Sources Supported
A variety of log sources are supported, including syslogs from network, security devices, servers, on-prem and cloud.
Efficient Log Mapping Using Filebeat and GROK
The solution comes out-of-the-box with intelligent log mapping and normalization for many vendors and device types.
Intelligent Search, Query and Correlation
The module comes with an intelligent search capability and the query is lightning fast even with a large data set. The search allows correlation of the data and the results are shown on screen or can be downloaded as a report.
Anomaly detection is the identification of the behavior of IT components that deviate from its normal behavior. By using historical data, the AI determines the baseline behavior, and identifies deviation from baseline behavior as it happens. IT ops may also set the sensitivity of the AI detection.
An outlier is an IT component that deviates drastically from the given norm or average of the data set. AI is used to identify the outlier in the given data set. IT ops may also set the sensitivity of the AI detection.
How Does NetGain Log Analytics Works?
Logs are collected and ingested into the NetGain platform. Logs typically come from a variety of IT devices, including security devices, servers and networking devices.
Logs data are normalized using the Elastic Common Schema. This allows the data from different devices to be correlated for analysis.
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