ITRS Analytics Playbook Guide

Welcome to the comprehensive feature documentation guide for ITRS Analytics. This guide serves as your definitive resource for understanding, implementing, and maximizing the value of the ITRS Analytics observability platform.

Introduction Copied

This documentation serve as the single source of truth for ITRS Analytics capabilities, features, and strategic value. Whether you’re evaluating the platform for your organization, planning an implementation, or seeking to expand your current deployment, this guide provides the insights you need to make informed decisions and achieve success. This documentation is designed to serve multiple stakeholder groups within your organization.

Technical stakeholders:

Business stakeholders:

What is ITRS Analytics? Copied

ITRS Analytics is a real-time observability platform and the technology chassis that powers ITRS’ product offerings. It is designed to help financial services and other highly regulated enterprises ensure that their mission-critical applications are always-on.

ITRS Analytics within the Geneos ecosystem Copied

ITRS Analytics serves as a core component of the Geneos system as ITRS modernizes its product architecture to deliver scalable monitoring solutions on industry-standard infrastructure. This strategic integration creates a comprehensive observability ecosystem that combines the proven monitoring capabilities of Geneos with the advanced analytics and storage capabilities of ITRS Analytics.

Key integration points:

Data collection and centralization — ITRS Analytics acts as the central data repository for metrics, logs, and events collected by Geneos Gateways and Netprobes. This centralized approach consolidates critical monitoring data from infrastructure, applications, and networks into a single, searchable location.

Enhanced analytics capabilities — While Geneos excels at real-time monitoring and alerting, ITRS Analytics extends these capabilities with advanced forecasting, probable cause analytics, and historical trend analysis. This combination transforms raw monitoring data into actionable business insights.

Scalable architecture foundation — Several new Geneos capabilities require ITRS Analytics to be installed, providing the foundation for a modern, scalable monitoring architecture. This ensures that organizations can grow their monitoring capabilities without architectural limitations.

Monitor of monitors Approach — ITRS Analytics functions as a “monitor of monitors” within the Geneos ecosystem, bringing context and meaning to alerts from various monitoring systems. This approach helps reveal the most likely source of problems in IT operations through intelligent correlation and analysis.

Unified visualization — The integration enables seamless data flow between traditional Geneos interfaces (like Active Console) and modern ITRS Analytics applications (such as Entity Viewer, Dashboards, and Web Console), providing users with multiple ways to interact with their monitoring data.

This integrated approach ensures that existing Geneos users can leverage their current investments while gaining access to next-generation analytics and visualization capabilities. Organizations can continue using familiar Geneos tools while gradually adopting ITRS Analytics applications to enhance their monitoring and analytics capabilities.

Core value proposition Copied

For technical teams — centralized repository for time series metrics, logs, traces, and events.

For business stakeholders — faster issue detection and resolution, protecting revenue and reputation.

Target users Copied

Platform architecture Copied

Core components Copied

ITRS Analytics consists of three fundamental layers:

Platform layer Copied

Web Console Copied

Application layer Copied

Data model Copied

The platform uses a canonical data model based on:

Apps in ITRS Analytics Copied

ITRS Analytics hosts a powerful suite of apps within its platform, designed to help teams visualize, analyze, and act on monitoring data. These apps allow you to explore their data from multiple perspectives, uncover actionable insights, and make informed decisions faster.

Core apps Copied

App Purpose Key features Target users Business value
Entity Viewer Real-time monitoring and investigation of tracked entities
  • Customizable contexts and groupings
  • Drill-down capabilities from overview to metric details
  • Real-time severity updates with visual indicators
  • Integrated log investigation
Operations teams, incident responders Faster problem identification and resolution
Alerting Signal aggregation and alert rationalization
  • Consolidated alerts from multiple monitoring systems
  • Configurable rules and thresholds
  • Historical context and drill-down capabilities
  • Signal KPIs and trend analysis
NOC teams, on-call engineers Reduced alert fatigue, improved response times
Dashboards Custom visualization creation and sharing
  • Native and Grafana template support
  • Dynamic entity-based dashboards
  • Public and private sharing options
  • Real-time and historical data visualization
Business analysts, team leads, executives Enhanced visibility, data-driven decision making
Forecaster Predictive analytics and capacity planning
  • Algorithm-based forecasting models
  • Automatic threshold breach prediction
  • Configurable lookback periods
  • Signal generation for proactive alerting
Capacity planners, infrastructure teams Proactive issue prevention, optimized resource utilization

Specialized apps Copied

App Purpose Key Features Target users Business value
FIX Monitor Financial protocol monitoring and analysis
  • FIX message parsing and analysis
  • Session event detection
  • Compliance monitoring
  • Order flow visualization
Trading operations, compliance teams Regulatory compliance, trading system reliability
Dynamic Thresholds Intelligent anomaly detection using adaptive boundaries
  • Machine learning-based threshold adjustment
  • Noise reduction and smoothing
  • Configurable warning and critical levels
  • False positive minimization
Operations engineers, monitoring specialists Smarter alerting, reduced operational noise
Notifications External system integration and alert delivery
  • Slack, Webhook, ServiceNow integrations
  • Grouped and individual entity notifications
  • Configurable trigger conditions
  • Message templating with placeholders
Incident response teams, business stakeholders Improved communication, faster response coordination
Traces Distributed system observability and performance analysis
  • Interactive trace visualization
  • Service dependency mapping
  • Latency analysis and error tracking
  • Timeline and graph views
Application developers, performance engineers Improved application performance, faster troubleshooting

Supporting apps Copied

App Purpose Key features Target users Business value
Ingestion Data point ingestion management and configuration
  • Dimension ordering
  • Data filtering
  • Throughput monitoring
Platform administrators, data engineers Optimized data processing, improved system performance
Centralised Config Gateway configuration management
  • Resource allocation
  • Version control
  • Binary management
System administrators, DevOps teams Streamlined configuration management, reduced deployment complexity
Capacity Planner Integration with ITRS Capacity Planner
  • One-click data publishing
  • Capacity analysis
  • Resource optimization insights
Capacity planners, infrastructure architects Enhanced capacity planning, cost optimization
Audit System activity monitoring and compliance
  • User action tracking
  • Configuration change logging
  • Comprehensive audit trails
Compliance officers, security teams Regulatory compliance, enhanced security oversight

Installation and deployment Copied

Interactive sizing tool Copied

Use the ITRS Analytics Sizer for accurate resource estimation based on your specific requirements. This interactive tool considers:

Installation methods Copied

Use cases and business value Copied

Primary use cases Copied

Alert aggregation and noise reduction Copied

Log investigation and pattern analysis Copied

Predictive capacity lanning Copied

Cross-team collaboration Copied

Industry-specific applications Copied

Financial services Copied

Telecommunications Copied

Healthcare Copied

Monitoring and maintenance Copied

Backup and disaster recovery Copied

Backup strategy Copied

The backup and restore feature is currently supported only for BYO installations. Embedded Clusters are not currently supported for backup or disaster recovery operations. This feature is under development and will be introduced in a future release.

Restore process Copied

Support Bundle generation Copied

Development roadmap Copied

Short-term enhancements (Next 6 months) Copied

Platform improvements Copied

Application features Copied

Medium-term developments (6-12 months) Copied

New applications Copied

Integration enhancements Copied

Long-term vision (12+ months) Copied

Artificial intelligence and machine Learning Copied

Ecosystem expansion Copied

Feature request process Copied

Community feedback Copied

Prioritization Criteria Copied

Getting started Copied

Quick start guide Copied

For technical users Copied

  1. Assessment: Use ITRS Analytics Sizer for resource planning.
  2. Prerequisites: Validate Kubernetes cluster and storage requirements.
  3. Installation: Choose appropriate deployment method.
  4. Configuration: Set up data sources and basic monitoring.
  5. Applications: Install and configure relevant apps based on use cases.

For business users Copied

  1. Use Case Identification: Map business requirements to platform capabilities.
  2. Team Training: Schedule onboarding sessions for key stakeholders.
  3. Pilot Deployment: Start with limited scope to demonstrate value.
  4. Expansion Planning: Develop roadmap for broader organizational adoption.
  5. Success Metrics: Define KPIs for measuring platform effectiveness.

Resource requirements planning Copied

Assessment questions Copied

Success factors Copied

Next steps in your ITRS Analytics journey Copied

  1. Contact ITRS: Discuss specific requirements and deployment options.
  2. Proof of Concept: Design limited pilot to validate capabilities.
  3. Training Program: Develop skills and knowledge transfer plan.
  4. Implementation Planning: Create detailed project timeline and milestones.
  5. Success Measurement: Establish metrics and monitoring for ROI tracking.

Key takeaways Copied

ITRS Analytics represents a comprehensive solution for modern observability challenges, providing the scalability, flexibility, and intelligence needed to manage complex enterprise environments. Its modular architecture, extensive application ecosystem, and focus on business value make it an ideal platform for organizations seeking to transform their monitoring and analytics capabilities.

The platform’s continued evolution, guided by customer feedback and market demands, ensures that investments made today will continue to deliver value as organizational needs grow and change. With proper planning, implementation, and ongoing optimization, ITRS Analytics can serve as the foundation for operational excellence and business resilience.

This guide is designed as a living resource that evolves alongside the ITRS Analytics platform. As new features are developed, capabilities are enhanced, and use cases expand, this documentation will be continuously updated to reflect the latest information and best practices.

["ITRS Analytics"] ["User Guide"]

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