Conway for IT Operations
Automate root cause analyses across your infrastructure
Step 1
Connect your data
Integrate Conway with your monitoring, observability, and infrastructure tools to create a unified view of your environment
Datadog
Disconnected
PagerDuty
Connected
Log sources syncing
system_logs12.4M events/day
performance_metrics2.1M events/day
infrastructure_events847K events/day
Step 2
Detect & prioritize
Conway ingests logs and metrics from all sources, detects anomalies and failures, and prioritizes by actual impact — not just severity labels
OPS-3012Critical
Disk Array Degraded · Storage
Just now
OPS-3013High
CPU Utilization Spike · Compute
Just now
OPS-3014Medium
Memory Leak Detected · APM
Just now
OPS-3015High
Network Latency Anomaly · Network
Just now
Step 3
Investigate & resolve
AI-powered root cause analysis surfaces key indicators and recommends remediation actions, turning hours of log review into seconds
Incident OPS-3012 · Root Cause Analysis
AI Analysis
Disk array degradation detected on storage node SAN-47. Drive
bay-12 showing elevated error rates with predictive failure indicators.Severity Score
92 / 100
Recommendation
Initiate Failover
Failover Initiated
Step 4
Improve operations
Conway learns from past incidents to suggest new anomaly rules and build runbooks, reducing manual log review over time
New Anomaly Rule
Rule Name
Predictive Disk Failure Pattern
Detection Logic
WHEN disk.error_rate > 0.01
AND disk.latency_ms > 50
AND disk.smart_status = "degraded"
THEN alert_disk_failure
Backtested against 30 days · 23 matches
