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Scout automatically investigates production incidents, correlates deployments with issues, and reports findings to your team in minutes, not hours.

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· 5 min
scout-investigation-12847
Alert received: High error rate on api-gateway (15.2% → threshold 5%)
Investigating... Checking recent deployments
Found deployment a3f8c21 deployed 23 min ago by @sarah
Analyzing commit: Modified database/connection.py (high-risk file)
Datadog metrics: DB connection pool exhausted at 14:32 UTC
Root cause identified (confidence: HIGH)
Connection pool size reduced in commit a3f8c21 from 100 → 10.
Recommended action: Revert or increase pool size.
Posted to #incidents with findings and rollback command
Investigation completed in 2m 34s
Starts in Seconds
0.8s

Investigation begins automatically when alerts fire. No on-call engineer needed to kick it off.

Alert triggered
14:32:00 UTC
Scout activated
+0.8s
Investigation complete
+2m 34s
Queries Datadog Automatically
Live

Pulls metrics, logs, and APM traces the moment an alert fires. No manual digging required.

Error Rate15.2%
DB Connections10/10
Pool exhausted
Correlates Deployments
a3f8c21

Identifies which commits shipped before the incident and flags high-risk file changes.

database/connection.pyHIGH RISK
14 class ConnectionPool:
15 def __init__(self):
16- self.max_size = 100
16+ self.max_size = 10
17 self.timeout = 30
18 self.retry_count = 3
@sarah · 23 min ago● Correlates with error spike
Identifies Root Cause
89% accuracy

Surfaces the most likely cause with supporting evidence from logs, metrics, and code changes.

92%87%95%HIGH
MetricsLogsCode
Root cause identified
connection_pool.max_size reduced 100 → 10
Reports to Slack
#incidents

Posts findings with confidence levels and recommended actions directly to your incident channel.

ScoutAPP2:34 PM
Root cause found for api-gateway alert
Connection pool reduced 100 → 10
Commit a3f8c21 by @sarah · Confidence: HIGH
Learns Your Stack
89.2%

Improves over time with team feedback. Remembers your architecture and common failure modes.

Model Confidence↑ 23% this month
100%50%0%
Week 1Week 8Week 15
2,847
Patterns
156
Services
89
Failure modes

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