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How InsightOps Works With Your Existing Tools | Intelligent Visibility
InsightOps / Integrations

InsightOps doesn't replace your stack. It connects it.

Your team has invested in monitoring, ticketing, and cloud platforms that work well in their own domains. InsightOps creates the intelligence layer across them — so your operators get unified context without switching tools.
Integration Philosophy

Three principles that guide how we connect

No rip-and-replace

Your teams keep using the tools they know. InsightOps ingests data via APIs and event streams, not by replacing source systems. Your LogicMonitor stays your LogicMonitor. Your ServiceNow stays your ServiceNow.

Normalize, don't duplicate

InsightOps creates a unified operational model from your existing data — normalizing entities, events, incidents, and dependencies across sources. One model, many inputs.

Value-first integration

We don't connect everything at once. The assessment identifies which 2–3 integrations deliver the highest value for your first use case, and we start there. Expand as value is proven.

What InsightOps Connects To

Six categories of operational systems, unified into one intelligence layer

InsightOps connects to the systems your operations teams already use. Each integration feeds the unified operational model with signals, context, and relationships that no single tool provides on its own.

Infrastructure Monitoring & Observability

Metrics, alerts, and performance data from your infrastructure monitoring platforms — the raw signals that tell you what's happening across your environment.

LogicMonitor Datadog Splunk AppDynamics Dynatrace BigPanda New Relic

ITSM & Incident Management

Tickets, incidents, change requests, and maintenance windows — the operational workflow data that tells you what actions have been taken and what's in progress.

ServiceNow Jira BMC Remedy PagerDuty

Cloud Platforms

Cloud-native metrics, events, and resource telemetry from your IaaS and PaaS environments — critical for hybrid infrastructure correlation.

AWS CloudWatch Azure Monitor VMware vSphere Nutanix Google Cloud Pure Storage

Network Telemetry

Flow data, SNMP, syslog, and network state information from switches, routers, firewalls, and SD-WAN — the network layer most monitoring tools only see at the surface.

Arista CloudVision NetFlow / IPFIX SNMP Palo Alto Panorama Meraki Velocloud Cisco Catalyst Center Juniper Mist

Automation & Orchestration

Runbook execution, configuration management, and orchestration platforms — enabling InsightOps to trigger governed remediation when conditions warrant it.

Ansible Tower Terraform NetMagus Arista CloudVision Arista AVD

CMDB & Source of Truth

Asset inventory, device metadata, service dependencies, and configuration data — the contextual foundation that turns a raw alert into an actionable insight.

ServiceNow CMDB NetBox Custom CMDBs
Architecture

How data flows through InsightOps

InsightOps sits between your source systems and your operational workflows. It ingests, normalizes, reasons, and delivers — without changing how your tools work individually.

Your source systems

  • Monitoring platforms
  • Log aggregation
  • ITSM / ticketing
  • Cloud telemetry
  • Network state
  • CMDB / asset data
→

InsightOps intelligence layer

  • Unified operational model
  • AI-driven correlation
  • Incident summarization
  • Root cause inference
  • Natural language interface
→

What your team gets

  • Contextual alert enrichment
  • Automated incident timelines
  • Recommended next actions
  • Governed automation triggers
  • Value measurement
Aegis PM + InsightOps

Better together, but not required

InsightOps works with any combination of monitoring tools. But for organizations running Aegis PM for co-managed observability, the integration is tighter and the time to value is faster.

Aegis PM provides a normalized, tuned, continuously managed observability foundation. InsightOps adds the AI-driven intelligence and correlation layer on top. Together, they deliver the full path from telemetry to automated action.

  • Telemetry already normalized and tuned by Aegis engineers
  • Alert noise already reduced through intelligent threshold management
  • Faster pilot deployment — data sources already connected
  • Shared operational team for continuous optimization

Deployment comparison

Initial integration time4–6 weeks
With Aegis PM in place2–3 weeks
Data sources pre-connectedYes
Alert tuning baselineAlready done
Ongoing co-managementShared Aegis team
Integration Process

How we connect your systems

Integration is part of the deployment, not a separate project. We start with the sources that deliver the most value for your first use case and expand from there.

1

Source inventory

During the assessment, we inventory every monitoring, ticketing, and operational system in your environment and evaluate API readiness.

2

Priority mapping

We identify which 2–3 integrations deliver the highest value for your first use case. Not everything at once — the ones that matter most.

3

Connect and normalize

API connectors established, data normalized into the unified operational model, entity and dependency mappings built, data quality validated.

4

Expand with value

Additional sources integrated as the pilot proves value. Each integration adds more context to the operational model and improves correlation accuracy.

Common Questions

What technical teams usually ask

Does InsightOps replace my existing monitoring tools?▾
No. InsightOps sits across your existing tools as an intelligence layer. It ingests data from your monitoring, ticketing, and operational systems via APIs and creates a unified operational model. Your teams continue using the tools they know — InsightOps adds the correlation, context, and AI reasoning that no single tool provides on its own. We integrate with platforms like LogicMonitor, Datadog, Splunk, New Relic, ServiceNow, AWS, Azure, Google Cloud, Arista CloudVision, Cisco Catalyst Center, Juniper Mist, and many others.
Do I need Aegis PM to use InsightOps?▾
No. InsightOps works with any combination of monitoring and operational tools. However, Aegis PM clients benefit from an already-normalized observability foundation — telemetry is already connected, alerts are already tuned, and the data model is already in place. This typically cuts initial integration time in half and provides richer telemetry from day one.
How long does integration take?▾
Initial integration with 2–3 source systems typically takes 4–6 weeks as part of a pilot deployment (2–3 weeks with Aegis PM already in place). Additional systems are added incrementally as value is proven. We don't try to integrate everything at once — the assessment identifies which sources deliver the highest value first.
What if my environment uses tools not listed here?▾
If the tool has a REST API, we can integrate it. The platforms listed above are the most common in enterprise environments, but InsightOps is designed to be vendor-flexible. Custom integrations for internal tools, databases, and proprietary systems are handled during deployment.
Does customer data leave my environment?▾
InsightOps uses private AI inference — no customer data is used for model training. The architecture supports deployment within your cloud environment with role-based access controls, query logging, and full audit trails. Security and compliance requirements are addressed during the assessment phase.

Let's map your environment to the integration model

The assessment identifies which of your existing systems deliver the highest value when connected through InsightOps — and in what order.

Request an Assessment Take the Free Self-Assessment

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