Log Analysis

Anwendungsfälle

• Finding the root cause of a production incident from log dumps
• Detecting anomalies and error spikes across distributed services
• Extracting structured fields from unstructured log lines
• Correlating request traces across microservices
• Summarizing noisy logs into an actionable incident timeline

Analyze the following application logs. Identify:
1. The most frequent and most severe errors
2. Any anomalies, spikes, or unusual patterns over time
3. The likely root cause and the request/trace where it first appears
4. Recommended next steps to mitigate and prevent recurrence

Logs:
```
[paste logs here]
```

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