WhatsUp Event Log Management Solution
Comprehensive event log collection, monitoring, analysis, reporting and storage for your network
Component Products in WhatsUp Event Log Management Solution:
The WhatsUp Event Log Management Solution comprises of four individual products that can work independently or together as an integrated set of tools.
Event Archiver
Log files generated by different operating systems and applications can vary in format and message content and easily grow to large sizes. This is true for Windows based systems too – and collection, normalization, archival and management of log data from its different versions has its challenges. WhatsUp Event Archiver does exactly that - automating the process of collecting and storing Windows Event logs, as well as providing the means for data cleansing and management over time.
Event Alarm
Potential security events can arise from both inside or outside the network perimeter. Monitoring and identifying patterns of activities from volumes of log data in near real-time needs powerful alert rule configuration and analysis capabilities. WhatsUp Event Alarm continuously monitors collected log data across the Windows Event log and Syslog domains, helps identify potential threat incidents and notifies operations teams via actionable alerts.
Event Analyst
Log reporting is crucial to set a baseline for network security metrics and compliance achievement across all stakeholders. Yet, with the volume of logs generated, any attempt at manual analysis and reporting is bound to fail. WhatsUp Gold Event Analyst enables automated filtering, reporting and translation of archived raw event log data into actionable intelligence.
Event Rover
Operations teams need to routinely view event log data and when needed, perform forensic analysis to support emergency response to network health and security threats. In either case - sorting and viewing chronologically displayed log files in an interface like the Windows Event Viewer is cumbersome and time consuming. WhatsUp Event Rover supports efficient, on-the-fly reviewing and forensic analysis of high volume log data for data mining and routine analysis.