Intelligence Layer
Sits above your existing stack, doesn't replace it.
Operational Intelligence
Close the Gap Between Your Monitoring Tools
InsightOps is not another monitoring platform. It's an AI intelligence layer that sits above your existing stack, connects your tools, and delivers the context your team needs to act — without replacing anything.
Stop spending 30 minutes per incident gathering context. Start getting probable cause and recommended actions delivered to the right engineer at the right time.
Operational intelligence that works with your existing monitoring investments.
A Different Approach
Intelligence, not replacement
Your monitoring tools already work. The problem is the gap between them — the manual context-gathering that happens during every incident.
The Challenge
Operations teams waste critical time during incidents gathering context that no single monitoring tool provides.
30+ minutes per incident spent gathering context manually
Multiple monitoring tools that don't communicate
Same engineers needed for every major incident
Institutional knowledge not encoded anywhere
The InsightOps Approach
InsightOps connects your existing monitoring tools and delivers AI-powered context and probable cause.
Cross-Platform Reasoning
Correlates signals across tools that have no native integration.
Probable Cause
Delivers context and recommended actions, not just grouped alerts.
API Integration
Works with LogicMonitor, Datadog, Splunk, ServiceNow, and others.
How It Works
InsightOps operates as an intelligence layer above your existing monitoring infrastructure.
1
Consume Existing Telemetry
Integrates via API with your current monitoring tools without replacing them.
2
Build Dynamic Service Model
Creates unified operational model from network topology, application flows, and change records.
3
Apply AI Reasoning
Analyzes patterns across all data sources to determine probable cause.
4
Deliver Context
Provides actionable insights and recommended responses to the right engineer.
What You Get
Core capabilities delivered through InsightOps implementation.
Cross-Platform Correlation
Unified view across all monitoring tools and data sources.
AI-Powered Probable Cause
Context and recommended actions delivered at incident time.
Dynamic Service Dependencies
Real-time understanding of service relationships and impact.
Outcomes
- Faster incident detection and resolution
- Reduced manual context-gathering time
- Consistent delivery of probable cause
- Better utilization of existing monitoring investments
Ideal Fit
- Organizations with multiple monitoring tools in production
- Teams with measurable incident response time problems
- Environments where triage and RCA take too long
- Organizations not planning monitoring platform consolidation
Core Distinctions
What InsightOps is — and what it is not
Four key distinctions that define how InsightOps fits into your operational environment.
Intelligence Layer, Not Monitoring Platform
Consumes telemetry from existing tools via API rather than collecting new data.
Best Fit
Organizations that want to enhance existing monitoring investments rather than replace them.
Dynamic Service Model, Not CMDB
Builds service dependencies from operational data, not static asset inventories.
Best Fit
Environments where service relationships change frequently and static CMDBs become outdated.
Probable Cause, Not Just Alert Correlation
Delivers context and recommended actions, not just grouped alerts.
Best Fit
Teams that need actionable insights, not just noise reduction.
Complements Aegis PM
Works as AI reasoning layer on top of managed observability foundation.
Best Fit
Organizations running Aegis PM who want to add AI intelligence capabilities.
Why IVI
Built to work with your existing investments
No Rip-and-Replace Required
Integrates with existing monitoring tools without disrupting current operations.
API-First Integration
Works with LogicMonitor, Datadog, Splunk, ServiceNow, PagerDuty, Arista CloudVision, and others through standard APIs.
AI-Powered Context Delivery
Delivers probable cause and recommended actions, not just alert grouping.
Beyond Alert Correlation
Reasons across multiple data sources to provide actionable insights that reduce investigation time.
Related Resources
Related Resources
Review related solution pages, supporting materials, and additional resources that help explain where this solution fits and how it can be applied.
FAQs
Frequently Asked Questions
Common questions about InsightOps and how it differs from other solutions.
How is InsightOps different from Dynatrace or Datadog?
Dynatrace and Datadog are full-stack monitoring platforms that collect telemetry, visualize it, and alert on it. InsightOps does not collect telemetry — it consumes data from whichever monitoring tools you already run and reasons across all of them together. The practical difference is that InsightOps does not require replacing your current monitoring investment and can correlate signals across tools that have no native integration.
How is InsightOps different from BigPanda or Moogsoft?
BigPanda and Moogsoft are alert correlation and noise reduction tools that group related alerts. InsightOps does this as well, but the primary value is generating probable cause and recommended action, not just grouped alerts. The distinction matters because grouped alerts still require human investigation, while InsightOps delivers the context that makes investigation unnecessary in most cases.
Does InsightOps require replacing any existing monitoring tools?
No. InsightOps integrates with your existing tools via API — LogicMonitor, Datadog, Splunk, ServiceNow, PagerDuty, Arista CloudVision, AWS CloudWatch, Azure Monitor, and others. Your current tools continue operating exactly as they do today while InsightOps adds a reasoning layer on top of the data they generate.
What is the difference between InsightOps and Splunk IT Service Intelligence (ITSI)?
Splunk ITSI is a service intelligence module that requires Splunk as the underlying data platform and focuses on KPI-based service health scoring. InsightOps is platform-agnostic, ingests from Splunk as one of many sources, and focuses on incident-time reasoning rather than steady-state health scoring. For organizations running Splunk, InsightOps adds cross-platform correlation that ITSI cannot deliver when data lives outside of Splunk.
How does InsightOps work with Aegis PM?
Aegis PM is IVI's co-managed observability service that keeps monitoring tools connected, tuned, and generating clean telemetry. InsightOps operates as the AI intelligence layer on top of that telemetry. For organizations running Aegis PM, InsightOps has a normalized, continuously managed data foundation to reason across, which typically reduces integration time.
What types of organizations benefit most from InsightOps?
InsightOps is ideal for organizations with multiple monitoring tools in production who are not planning to consolidate to a single platform, have measurable incident response time problems, or are evaluating AIOps platforms but finding full-platform replacement too expensive or disruptive. It's particularly valuable for teams where the same engineers are needed for every major incident because institutional knowledge isn't encoded anywhere.