Automated Remediation
Intelligent Code Suggestions for
Production Issues.
Logsmith identifies production anomalies and suggests code-level fixes by correlating metrics, logs, and distributed traces.
checkout.go
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func ProcessCheckout(ctx context.Context, items []Item) error {
for _, item := range items {
-err := db.UpdateInventory(ctx, item.ID, item.Quantity)
+err := db.BatchUpdateInventory(ctx, items)
Logsmith: Refactored to avoid N+1 query pattern
if err != nil {
return fmt.Errorf("failed to update: %w", err)
}
}
return nil
}
Ln 127, Col 24UTF-8 Go
Logsmith Agent: Active
RCA Logic
Reasoning Chain v2.4
Detected Anomaly
Spike in latency (p99 > 2.5s) detected in /checkout endpoint at 14:02 UTC.
Correlation Analysis
Trace ID sz-7712-ax shows 150+ sequential DB calls. Identified as N+1 query pattern.
Suggested Remediation
Refactor loop-based updates to a batch operation. Expected latency reduction: ~85%.
Confidence Score
94%Deploy with Confidence
Integrate Logsmith into your CI/CD pipeline to catch performance regressions.
Deep Integrations with your Stack
Logsmith doesn't just guess. It validates suggestions using your existing observability data.
Metrics Correlation
Auto-identifies metric deviations linked to code changes.
Trace-to-Code
Maps spans directly to specific functions and lines.
Auto-Patching
Creates PRs with suggested fixes & benchmarks.