Capacity Forecasting
Monitors resource utilization trends and forecasts which components are approaching operational limits before they breach alerting thresholds.
InsightOps
Catching Problems Before Your Users Do
InsightOps does not only accelerate response when something breaks. It surfaces risk before incidents occur — identifying capacity pressure, change risk, configuration drift, and dependency exposure before they become outages.
The goal is the same as reactive intelligence — faster decisions — but the decision is made before the outage clock starts.
Proactive operations that shift your team from firefighting to prevention.
Proactive Operations
Shift from reactive firefighting to proactive risk identification
InsightOps continuously analyzes your operational environment for patterns that historically precede incidents: capacity approaching threshold, configuration drift from baseline, a change with a high blast radius in a dependency-dense part of your stack, or a dependency path that has degraded but not yet failed.
Reactive Operations is an Expensive Default
Most enterprise operations teams are structurally reactive. This model is sustainable until the complexity of the environment outpaces the capacity of the team — which, in most organizations, has already happened.
Capacity exhaustion is predictable weeks in advance but nobody watches trend data consistently
High-risk changes are approved without structured blast-radius analysis
Configuration drift accumulates silently across infrastructure
Recurring incidents are treated as isolated events rather than systemic risk
On-call engineers carry institutional knowledge that leaves when they do
Four Proactive Operations Capabilities
Each capability operates continuously against your live operational data — not as a scheduled report but as a persistent analytical layer.
Change Risk Analysis
Analyzes blast radius before deployment, identifying dependencies and surfacing similar past changes and their outcomes.
Configuration Drift Detection
Monitors the delta between intended configuration state and actual running configuration across your infrastructure.
Pattern Recognition
Identifies recurring incident patterns and escalates them as systemic risks rather than isolated events.
What You Get
Proactive capabilities that prevent incidents rather than just respond to them.
Trend-Based Alerting
Storage, compute, and network capacity forecasting with weeks of lead time for action.
Deployment Risk Assessment
Blast radius analysis and dependency mapping before changes are deployed.
Continuous Drift Monitoring
Real-time verification that infrastructure matches intended configuration state.
Outcomes
- Incidents prevented through proactive capacity management
- Reduced deployment risk through blast radius analysis
- Faster resolution of configuration-related issues
- Shift from reactive firefighting to proactive prevention
Ideal Fit
- Organizations with mature reactive operations wanting to shift to prevention
- Complex, change-heavy environments where deployment risk is high
- Teams that have experienced capacity-related incidents visible in trend data beforehand
- Organizations running Aegis PM wanting to extend co-managed operations
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Why IVI
Built for operational intelligence, not just monitoring
Continuous analytical layer
Operates on trend analysis and pattern recognition across your full operational data set, not just point-in-time threshold checks.
How It Works
A storage volume at 73% utilization with a trend line that reaches 90% in 18 days does not fire a threshold alert today. InsightOps surfaces it today.
No pipeline integration required
InsightOps can derive change risk analysis from service dependency models and historical incident data even without direct pipeline integration.
Flexible Implementation
Pipeline integration improves analysis quality but is not a prerequisite for the capability.
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 proactive operations with InsightOps.
How is proactive operations different from what my existing monitoring tools already do?
Monitoring tools alert when thresholds are crossed — that is, when the problem has already materialized. Proactive operations in InsightOps operates on trend analysis and pattern recognition across your full operational data set, not just point-in-time threshold checks.
A storage volume at 73% utilization with a trend line that reaches 90% in 18 days does not fire a threshold alert today. InsightOps surfaces it today.
Does change risk analysis require integration with our deployment pipeline?
Not necessarily. InsightOps can derive change risk analysis from the service dependency model and historical incident data even without a direct pipeline integration.
Pipeline integration improves the quality of the analysis — it allows InsightOps to correlate specific deployment events with specific incidents — but it is not a prerequisite for the capability.
How does configuration drift detection work alongside our existing IaC tooling?
InsightOps consumes the intended state from your IaC definitions (Terraform state files, Ansible playbooks, Arista AVD configurations) as one input, and compares it against live operational data from your monitoring and management platforms.
The drift detection does not replace your IaC tooling — it adds a continuous verification layer on top of it that operates in real time rather than at deployment time.
What types of capacity issues can InsightOps predict?
InsightOps forecasts storage exhaustion, compute saturation, and network interface utilization trending toward capacity limits. These issues are visible in trend data weeks before they cause incidents, giving you enough lead time to act during business hours rather than on a weekend night.
How does pattern recognition identify recurring incidents?
When the same component, service, or dependency path generates repeated incidents over time, InsightOps identifies the pattern and escalates it as a systemic risk rather than a series of isolated events.
This surfaces the underlying instability before the next incident in the sequence occurs and flags it for a proactive remediation conversation rather than another reactive response.
Can InsightOps work with our existing Aegis PM deployment?
Yes, for organizations running Aegis PM, proactive operations capabilities extend to the network infrastructure that Aegis manages directly. This creates a unified proactive and reactive operations model across your entire environment.