What's new in ITRS Analytics

Detect incidents in real time and resolve issues faster with agentic AI

Agentic SRE helps mission-critical operations teams move from alerts and telemetry to understanding and action. By combining real-time operational context with AI-assisted investigation, it enables teams to identify probable causes, accelerate decision-making, and respond with confidence.

Designed for environments where reliability, governance, and trust are non-negotiable, Agentic SRE delivers evidence-based insights, explainable workflows, and human-in-the-loop oversight. The result is faster investigations, reduced cognitive load, and better operational outcomes without sacrificing control.

Root Cause Analysis Agent correlates metrics, traces, logs, and events across services to surface likely causes and significantly reduce investigation time.

Support Agent leverages operational history, deployment data, and platform knowledge to provide contextual guidance, streamline knowledge sharing, and accelerate onboarding.

Guided remediation turns investigation into action by recommending next steps and operational runbooks while keeping people firmly in control of every decision.

Monitor and analyze log data with the ITRS Analytics Logs app

The ITRS Analytics Logs app gives teams a focused and efficient way to investigate log activity across services, entities, and log sources within the Web Console. You can quickly move from broad log discovery to a narrowed, time-bounded set of results by combining message search, entity filters, log source filters, and advanced options such as severity, trace identifiers, and structured attributes.

This helps operators, SREs, support teams, and developers reduce troubleshooting noise and reach the most relevant log entries more quickly. With features such as matching log file previews, detailed log entry tables, in-table message search, line wrapping, and the Log Volume Timeline, the app makes it easier to spot bursts of activity, review failure patterns, and investigate incidents with greater precision.

The Logs app also supports operational reuse and collaboration through saved filters. Users can save proven investigations, reopen them later, clone or export them, and manage access by keeping filters private, sharing them through a direct link, or publishing them for wider discovery. This makes it easier to standardize troubleshooting workflows across teams and reduce repeated manual effort.

Watch this product demo tour to quickly explore the main UI elements and see how to investigate log activity and manage log filter access.

Proactive capacity monitoring and forecasting

The ITRS Analytics Capacity app brings together real-time capacity monitoring, forecasting, and reporting so you can see how infrastructure is performing today and where utilization is heading. Because it runs on the same platform as your other ITRS Analytics apps, you benefit from continuous ingestion and a shared view of entities and metadata.

Reports combine historical performance with forecasted demand, which helps you plan ahead, keep services running, and communicate clearly with stakeholders. Multi-level alerting highlights when current usage crosses safe thresholds or when forecasts show demand exceeding installed capacity, with configurable rules so teams can focus on what matters first.

Whether you are supporting day-to-day operations, longer-range capacity planning, or audit-style reporting (including alignment with frameworks such as SEBI capacity guidelines where they apply), the Capacity app turns raw metrics into a more transparent, forward-looking picture of your estate.

Dashboards built for how you work

The ITRS Analytics Dashboards app helps you create and share customizable views of the applications and areas you care about most. You get a single place for both live and historical data, with dataviews that keep pace as your environment grows. Filter by context, use keyword search to find metrics and entities quickly, and switch between tables, KPI tiles, and charts so you can move from a high-level summary to the detail you need.

Flexible attribute filters make it easier to narrow in on what matters, including spotting gaps where values are missing. Adjust time ranges to validate history, spot incomplete data, and investigate with confidence. You can save dashboards with a name and group for everyday monitoring, or explore without saving when you just need a fast, one-off look.

From the Entity Viewer app, you can also create a new dashboard or add metrics to an existing one from the data on screen, so you spend less time re-selecting fields and more time monitoring. Whether you are tracking performance, supporting incident response, or sharing a clear picture with other teams, Dashboards makes it simpler to turn complex data into decisions without rebuilding views every time something changes.

Smart alerting with ITRS Analytics Dynamic Thresholds app

Stay ahead of issues with Dynamic Thresholds in ITRS Analytics for smarter alerts, less noise, and faster detection.

As IT environments become more complex, setting the right alert thresholds can be difficult. The Dynamic Thresholds app in ITRS Analytics automatically adjusts thresholds based on real metric behavior, avoiding the limitations of static, one-size-fits-all settings. These adaptive thresholds reduce false positives, detect anomalies sooner, and require less manual maintenance, helping teams stay focused on real issues.

By learning instantly from historical data, the app can be deployed quickly and works alongside static or forecast-based rules, each generating its own signal. Users can preview and simulate changes before going live, ensuring minimal alert fatigue, and configurations can be moved easily across development, test, and production environments. Planned enhancements include support for annual or event-based seasonality and the ability to launch threshold creation from other areas of the UI.

Watch this product demo tour to know how to define a new dynamic threshold configuration.

Improved monitoring with distributed tracing capabilities

Get complete visibility and faster troubleshooting with the new ITRS Analytics Traces app, powered by distributed tracing.

Distributed tracing offers a modern way to overcome these challenges by tracking how requests move through different services and components. This approach delivers clear, end-to-end visibility into request paths, helps identify performance bottlenecks, and uncovers dependencies between systems.

Beyond its technical advantages, distributed tracing also delivers significant business value. It enables faster root-cause analysis, which reduces downtime and minimizes the impact of incidents on customers. By improving visibility across complex systems, it helps teams make informed decisions to optimize resources, enhance application performance, and improve overall customer experience. In turn, this can lead to higher operational efficiency, reduced costs, and greater confidence in delivering reliable digital services.

With the ITRS Analytics Traces app, these capabilities come together in an interactive, visual experience that’s accessible to both technical teams and business stakeholders. You can see how data flows across your environment, bring together scattered information into a single, coherent view, and gain a deeper understanding of service performance.

Watch this product demo tour to quickly explore the main UI elements and learn what actions you can take within the app.

Instant access to historical entity details

The Entity Viewer app now gives you faster, more intuitive access to detailed historical data for your monitored entities, helping you better understand performance trends and investigate issues. You can organize entities into context groups and apply filters based on attributes, dimensions, or severity, making it easy to navigate from the state tree down to specific groups. This delivers a clear and comprehensive snapshot of your environment in just a few clicks.

Once you select an entity, you can explore its full history, including logs, metrics, and activity records, to uncover patterns or pinpoint anomalies. The severity timeline offers a visual representation of past events, allowing you to instantly jump to key points in time and review related signals and metrics for deeper analysis.

For end users, this means faster troubleshooting and better decision-making. You can quickly identify when and why a problem occurred, track the impact of configuration changes, and compare historical performance data to current conditions. For businesses, these capabilities translate to improved operational efficiency, reduced downtime through faster root cause analysis, and stronger data-driven decisions for capacity planning and service improvements.

Immediate command execution in the Entity Viewer app

The ITRS Analytics Entity Viewer app now supports direct command execution, giving you faster, more efficient control over your monitoring environment. From the Commands page, you can access and run commands configured in the Geneos Gateway Setup Editor directly within the app, executing them instantly on selected entities or metrics without switching tools.

You can easily track the status of your commands in real time, with clear indicators showing whether they are queued, running, or completed. Your full command history is available at any time, with detailed execution records that include dimensions, targets, status, timestamps, and more.

For users, this means you can quickly restart processes, clear alerts, or perform health checks and diagnostics on specific metrics directly from the Entity Viewer without logging into another tool. You can also monitor execution progress as it happens, ensuring that resolution actions are completed successfully. For businesses, these enhancements help reduce downtime by enabling faster operational responses, improve team productivity by streamlining workflows, and maintain compliance with detailed logs that capture every executed command.