Cross-Signal Correlation

Metrics. Logs. Traces.
Connected in ways humans can't see.

Nova's Cross-Signal Correlation engine analyzes relationships between metrics, logs, and traces across your entire stack simultaneously. It finds the hidden connections, a memory leak that shows up in metrics 4 minutes before the error logs fire, a slow database query that only correlates with latency spikes under specific traffic patterns. Root cause analysis that used to take hours now takes seconds.

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app.novaaiops.com · Cross-Signal Correlation

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Correlation Heatmap

See every signal relationship at a glance: the hotter the cell, the stronger the link

Nova builds a real-time correlation matrix across all your observability signals. The heatmap shows pairwise correlation strength between every metric, log pattern, and trace characteristic in your environment. Red-hot cells reveal strong correlations you need to investigate. Cool cells show independent signals. Click any cell to drill into the time-series overlay and see exactly how two signals co-move.

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Auto-discovered correlations — Nova continuously computes correlations across thousands of signals without manual configuration
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Interactive drill-down — click any heatmap cell to see time-aligned overlays of both signals with correlation coefficient
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Anomaly highlighting — cells that show unusual correlation changes are flagged automatically as potential emerging issues

app.novaaiops.com · Correlation Heatmap

Time-Lagged Detection

Find causes that happen minutes before their effects: not just simultaneous events

Most correlation tools only find signals that spike at the same time. Nova's time-lagged detection analyzes signal relationships with configurable time offsets up to 15 minutes in each direction. This catches the real causal chains: a gradual memory increase that precedes an OOM crash by 4 minutes, a config push that triggers cascading failures 90 seconds later, or a traffic ramp that slowly degrades cache performance before errors appear.

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Sliding window analysis — test correlations at every 15-second offset from -15min to +15min to find optimal time lag
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Causal direction inference — Nova identifies which signal leads and which follows to suggest cause vs. effect
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Historical pattern matching — compare current lagged correlations against historical incidents to identify recurring failure patterns

app.novaaiops.com · Time-Lag Analysis

AI-Powered Root Cause Suggestions

From correlated signals to actionable root cause: automatically

Correlation data is only useful if you can translate it into action. Nova's AI engine takes the correlation graph, combines it with your service topology, recent change events, and historical incident patterns, and generates ranked root cause hypotheses. Each suggestion comes with a confidence score, supporting evidence, and a recommended remediation action. Stop hunting through dashboards, let the AI tell you where to look.

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Ranked hypotheses — top 5 root cause candidates ranked by confidence with supporting signal evidence for each
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Change correlation — automatically cross-references deployments, config changes, and infrastructure updates from the last 24 hours
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Remediation links — each root cause suggestion links directly to relevant runbooks, playbooks, or auto-remediation actions

app.novaaiops.com · Root Cause AI

Find root causes in seconds, not hours

See how Nova's Cross-Signal Correlation connects metrics, logs, and traces to surface root causes your team would never find manually.

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Metrics. Logs. Traces.Connected in ways humans can't see.

See every signal relationship at a glance: the hotter the cell, the stronger the link

Find causes that happen minutes before their effects: not just simultaneous events

From correlated signals to actionable root cause: automatically

Goes great with Cross-Signal Correlation

Alerts & Correlation

Anomaly Detection

Executive Insights

Find root causes in seconds, not hours

Metrics. Logs. Traces.
Connected in ways humans can't see.