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Logmanager Features
What are the features of Logmanager?
Visibility
- Dashboards and Visualizations
- Alerts and Notifications
- Reporting
Monitoring and Management
- Real-Time Monitoring
Data Preparation
- Data Sources
- Indexing
- Automated Tagging
- Data Blending
Analysis
- Detect Anomalies
- Metric and Event Data
- Search
- Alerts
- Live Tail
Visualization
- Dashboards
- Data Discovery
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Logmanager Categories on G2
Filter for Features
Network Management
Log Management | Provides security information and stores the data in a secure repository for reference. | Not enough data |
Incident Management
Event Management | Alerts users of incidents and allows users to intervene manually or triggers an automated response. | Not enough data | |
Automated Response | Reduces time spent remedying issues manually. Resolves common network security incidents quickly. | Not enough data | |
Incident Reporting | Documents cases of abnormal activity and compromised systems. | Not enough data |
Visibility
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. 10 reviewers of Logmanager have provided feedback on this feature. | 97% (Based on 10 reviews) | |
Alerts and Notifications | As reported in 10 Logmanager reviews. Clearly notifies users with relevant information and anomalies in a timely manner. | 92% (Based on 10 reviews) | |
Reporting | As reported in 10 Logmanager reviews. Creates reports outlining log activity and relevant metrics. | 90% (Based on 10 reviews) |
Monitoring and Management
Automation | Automatically allocates resources to address log anomalies. 10 reviewers of Logmanager have provided feedback on this feature. | 80% (Based on 10 reviews) | |
Real-Time Monitoring | Constantly monitors logs to detect anomalies in real time. This feature was mentioned in 10 Logmanager reviews. | 90% (Based on 10 reviews) |
Data Preparation
Data Sources | Based on 13 Logmanager reviews. Automatically collect logs from all your services, applications, and platforms | 94% (Based on 13 reviews) | |
Indexing | Based on 13 Logmanager reviews. Automate the indexing of machine data that's critical to your operations | 82% (Based on 13 reviews) | |
Automated Tagging | As reported in 13 Logmanager reviews. See log data in context with automated tagging and correlation | 91% (Based on 13 reviews) | |
Data Blending | Mix and match data from apps, hosts, containers, services, networks, and more 13 reviewers of Logmanager have provided feedback on this feature. | 86% (Based on 13 reviews) |
Analysis
Detect Anomalies | Identify and predict anomalies in real-time with outlier detection and uncover root-causes This feature was mentioned in 13 Logmanager reviews. | 76% (Based on 13 reviews) | |
Metric and Event Data | As reported in 12 Logmanager reviews. Analyze both metric and event data on the same platform regardless of source or structure | 86% (Based on 12 reviews) | |
Search | As reported in 12 Logmanager reviews. Search your logs for troubleshooting and open-ended exploration of your data | 93% (Based on 12 reviews) | |
Alerts | As reported in 12 Logmanager reviews. Create alerts based on search patterns, thresholds for specific log metrics, or other conditions | 94% (Based on 12 reviews) | |
Live Tail | See your data, in real time, streaming into the system from multiple data sources 12 reviewers of Logmanager have provided feedback on this feature. | 89% (Based on 12 reviews) |
Visualization
Dashboards | Visualize log data on dashboards 12 reviewers of Logmanager have provided feedback on this feature. | 96% (Based on 12 reviews) | |
Data Discovery | Drill down and explore data to discover new insights This feature was mentioned in 12 Logmanager reviews. | 92% (Based on 12 reviews) |
Generative AI - Security Compliance
Predictive Risk | Can analyze patterns and trends in security data to predict potential compliance risks. | Not enough data | |
Automated Documentation | Can automate the creation of compliance documentation by quickly generating accurate and comprehensive reports. | Not enough data |
Agentic AI - Security Information and Event Management (SIEM)
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Log Analysis
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Log Monitoring
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
