Conditional Monitoring
Overview
Trace9® Conditional monitoring monitors the specific conditions or events within an IT system or infrastructure and makes triggering alerts or actions when those conditions or events occur. It is used to track a wide range of metrics and conditions within an IT infrastructure, including network bandwidth, disk usage, application performance, and more. By setting up specific conditions and actions, IT teams can proactively identify and address issues before they cause downtime or other problems and ensure that critical systems are always up and running smoothly.
Trace9® Correlation monitoring analyzes relationships between different metrics or events within an IT system or infrastructure, in order to identify patterns or anomalies that could indicate underlying issues. It is used to identify a wide range of issues within an IT infrastructure, including network congestion, application performance issues, security threats, and more. By analyzing relationships between different metrics and events, IT teams can gain a deeper understanding of how their infrastructure is functioning and identify issues that might not be immediately apparent from a single metric or event. This can help organizations proactively address issues before they cause downtime or other problems.
Features
Here are some of the features of Trace9® conditional, correlation, and value chain monitoring:
Conditional Monitoring
Threshold-based alerts
Trace9® Conditional monitoring sets thresholds for specific metrics or events, and trigger alerts when those thresholds are crossed.
Historical data analysis
Trace9® Conditional monitoring analyzes trends and patterns in historical data to identify potential issues or anomalies.
Event correlation
Trace9® Conditional monitoring correlates events across different parts of the infrastructure to identify potential issues or root causes.
Correlation Monitoring
Cross-metric analysis
Trace9® Correlation monitoring analyzes the relationship between different metrics and events to identify patterns or anomalies.
Root cause analysis
Trace9® Correlation monitoring drill down into the root cause of issues by analyzing correlations between different events or metrics.
Real-time monitoring
Trace9® Correlation monitoring monitors correlations in real-time, and trigger alerts or actions when issues arise.
Benefits
There are several benefits of using conditional and correlation in an infrastructure monitoring solution:
Conditional Monitoring
Proactive issue identification and resolution
Trace9® HCI monitoring enables proactive identification of issues before they become major problems. With real-time monitoring and alerts, IT teams can take prompt action to resolve issues and prevent service disruptions.
Improved performance and uptime
Trace9® HCI monitoring ensures that the system is performing at optimal levels and that there is no degradation in performance over time. This results in improved uptime, which is critical for business continuity.
Simplified management
Trace9® HCI monitoring provides a single view of the entire infrastructure, simplifying management and reducing the need for manual monitoring and troubleshooting.
Correlation Monitoring
Early issue detection
By analyzing relationships between different metrics and events, IT teams can identify issues before they cause downtime or other problems.
Faster root cause analysis
Trace9® HCI monitoring ensures that the system is performing at optimal levels and that there is no degradation in performance over time. This results in improved uptime, which is critical for business continuity.
Better infrastructure visibility
By monitoring correlations across different parts of the infrastructure, IT teams can gain a deeper understanding of how their infrastructure is functioning and identify areas for improvement.
Better business alignment
By tracking metrics that are important to the business, such as customer satisfaction or revenue, IT teams can ensure that their services are aligned with business goals and objectives.
CIn conclusion, using a combination of conditional and correlation monitoring helps IT teams proactively identify and address issues in their infrastructure, improve system performance, and align their services with business goals and objectives.
Technology Supported , Protocols, Devices
NA
Module Dependency
NA
Scalability
NA
Trace9® editions difference table
This edition difference table Provides a comparison between different editions of Trace9® Monitoring Solution. It outlines the features, content, or specifications that distinguish one edition from another. The edition table helps customers make informed decisions about which edition best suits their needs or preferences.
| Trace9® Modules | Trace9® Standard | Trace9® Professional | Trace9® Advanced | Enterprise | Service Provider | |
|---|---|---|---|---|---|---|
| Legend | x = Supported - NS= Not Supported "Version upgrade will require" | |||||
| Trace9® Satellite Node | ||||||
| Network Performance Monitor (NPM) | ||||||
| NPM IOT Monitor | ||||||
| Desktop & Application Monitor | ||||||
| Server & Application Monitor | ||||||
| Virtualization Monitor | ||||||
| Database Monitor | ||||||
| Cloud Monitoring | ||||||
| HCI Monitor | NS | |||||
| Advanced Virtualization Monitor | NS | |||||
| Log Management | NS | |||||
| Software License Monitoring | NS | |||||
| ITSM Integration | NS | |||||
| Network xFlow | NS | |||||
| NF Virtualization Monitor | NS | NS | ||||
| SD-WAN Performance Monitor | NS | |||||
| Trace9® Special Integration Packs-Telco | NS | NS | NS | NS | ||
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