Geneos 7 use case scenarios

Whether you are an IT application support professional or a key decision maker in your organization, the capabilities of Geneos 7 are tailored to address your critical monitoring requirements to ensure seamless IT operations and enable data-driven business decisions.

Entity Viewer Copied

We are monitoring thousands of servers and we need a centralized, real-time monitoring platform to analyze data efficiently and share insights with stakeholders.

The Entity Viewer is a modern web interface that consolidates monitoring data from on-prem infrastructure, cloud applications, and containerized environments into a single-pane-of-glass view. This allows your teams to easily navigate across all your entities and deep-dive into specific metrics. You can also create context groups for customizable and shareable views based on metrics relevant to your role or business requirements.

For more information, see Entity Viewer app.

Check severities Copied

We need to quickly identify critical system issues to prevent service disruptions.

The Entity Viewer’s enhanced error investigation capabilities are designed to instantly make you aware of issues in your estate. At a quick glance, you can visually identify severity levels based on the colors of the tiles and chips in the UI, allowing you to effortlessly prioritize issues. Log data is also available for a more comprehensive review.

View instant history Copied

We need to access historical data to better understand trends and make informed decisions about our system health.

To provide deeper context for your monitoring, you can also access real-time instant history data in the Entity Viewer. You can correlate past anomalies and trends to current issues, promoting more efficient troubleshooting.

Execute commands Copied

We need a centralized way to execute commands and run diagnostics without switching between applications.

All default and custom commands from the Active Console are now fully available in the Entity Viewer, secured with authentication and role-based controls. This enables your authorized IT support teams to execute actions directly from the UI, speeding up remediation and reducing MTTR.

Dynamic Thresholds Copied

We need alerts that accurately reflect our system health so we can focus on addressing real issues before they escalate.

Geneos 7’s intelligent behavior monitoring through dynamic thresholds continuously adapt to market activity, transaction volumes, and workload fluctuations to detect performance bottlenecks, latency spikes, and irregular transaction patterns. This ensures operational efficiency across various systems, including trading and banking platforms and regulatory compliance.

Unlike static thresholds, dynamic thresholds analyze historical patterns to reduce unnecessary alerts using metrics such as percentiles, standard deviation, and variance. This establishes contextual thresholds which help your IT teams streamline your monitoring parameters to focus on precise anomaly detection and improve response times.

For more information, see How to use Dynamic Thresholds in Gateway rules.

The interface visually compares current data against historical thresholds, providing clear visibility into system behavior. For example, a trading app with a static threshold generated a thousand alerts. With dynamic thresholds, this is reduced to just the significant alerts, simultaneously reducing the number of P1 tickets created.

Alert Management Copied

We need insights into our system to identify key metrics generating alerts. This will help ensure we act on significant issues and reduce alert noise.

The Alerting app generates a noise score that tracks whether alerts triggered are increasing or decreasing. Alerts can be categorized by region, Gateway, or category, making it easy to pinpoint noisy applications or misconfigured rules. The app also visualizes trends over time, helping you identify where optimizations are needed.

For more information, see Alerting app.

Forecasting Copied

We need a solution that enables us to react on real-time issues while proactively monitoring and optimizing capacity planning.

Geneos 7 introduces forecasting capabilities to help predict and prevent potential issues before they escalate. Through analysis of historical data from your systems and cloud usage, the Forecaster app predicts when thresholds will be breached and generates an alert to notify IT teams early. By continuously updating predictions with new data, the Forecaster app ensures accuracy even as conditions change.

Forecasting enables IT teams to optimize network performance, allocate resources efficiently, and prevent unexpected latency or capacity issues.

You can adjust forecast timelines to project days, weeks, or months. Teams can also use the same dataset for historical reporting, dynamic thresholds, and forecasting.

For more information, see Forecaster app.

["Geneos"] ["User Guide"]

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