Incident Similarity Engine

You've seen this before.
Nova remembers how you fixed it.

The Similarity Engine matches every new incident against your full historical library using AI pattern recognition. Within seconds, it surfaces the most similar past incidents, the runbooks that resolved them, and a confidence score for each match, so your team can skip the investigation and jump straight to the fix.

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app.novaaiops.com · Incident Similarity Engine
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Nova AI Incident Similarity Engine
<5s
Pattern matching time
10K+
Historical incident library
AI
Confidence scoring
Auto
Suggested runbooks
Vector-Based Pattern Matching

Every incident becomes a searchable fingerprint

Nova converts each incident into a high-dimensional vector that captures its signal patterns, affected services, error signatures, and resolution steps. When a new incident arrives, it is compared against every historical fingerprint in your library, not by keyword matching, but by structural similarity. A Redis connection timeout today matches the Redis connection timeout from six months ago even if the error messages use completely different wording.

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    Multi-signal fingerprinting: incidents encoded from metrics, logs, traces, and topology data for deep structural comparison
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    Sub-second retrieval: approximate nearest neighbor search across 10,000+ historical incidents completes in under 5 seconds
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    Cross-environment matching: staging incidents match production patterns, catching issues before they hit customers
app.novaaiops.com · Pattern Matching
Vector-based pattern matching
Confidence Scoring & Ranking

Not just similar: ranked by how likely the same fix will work

Every match comes with a confidence score from 0 to 100 that factors in signal overlap, service topology similarity, time-of-day patterns, and whether the previous resolution was marked successful. Matches above 85% confidence are flagged as "high confidence" and their runbooks are pre-loaded into the incident card. Lower matches are shown for context but clearly labeled so your team knows the difference.

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    Multi-factor scoring: confidence combines signal similarity, topology overlap, temporal patterns, and resolution success rate
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    Explainable results: each match shows exactly which dimensions drove the similarity score, not just a number
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    Feedback loop: when engineers confirm or reject a match, the scoring model updates to improve future ranking accuracy
app.novaaiops.com · Confidence Scoring
Confidence scoring and ranking
Automated Runbook Suggestions

The playbook that fixed it last time: attached before you even ask

When a high-confidence match is found, Nova automatically attaches the runbook that resolved the historical incident. If the previous resolution involved automated remediation steps, those are pre-staged and ready to execute with one click. Your on-call engineer opens the incident and sees "This looks like INC-4521 from March, here's the runbook that fixed it in 4 minutes" instead of starting from scratch.

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    Pre-loaded runbooks: high-confidence matches auto-attach the resolution playbook directly to the new incident card
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    One-click remediation: if the historical fix was automated, the same automation is staged and ready to execute immediately
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    Resolution time tracking: see how long each historical match took to resolve, setting expectations for your current incident
app.novaaiops.com · Runbook Suggestions
Automated runbook suggestions

Goes great with Incident Similarity Engine

Correlation Engine

Group related alerts into single incidents first, then match those incidents against historical patterns.

Postmortem Builder

Historical matches feed postmortem reports with context from similar past incidents and their resolutions.

Incident History

The full searchable archive that powers the similarity engine's historical pattern library.

Stop solving the same incidents from scratch

Let Nova's AI match current incidents to historical patterns and suggest proven runbooks in seconds.

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