Brewed Logic
From Incident Detection to Autonomous Resolution — Without Human Touch
"Systems that detect, diagnose, and resolve — while you sleep."
IT teams spend 60% of their time on reactive incident management. They are firefighters, not architects.
"Systems that detect, diagnose, and resolve — while you sleep."
01
The Problem: The Burnout Epidemic
IT teams spend 60% of their time on reactive incident management. They are firefighters, not architects.
This evidence table sets the baseline for The Problem: The Burnout Epidemic, pairing each headline signal with the operational reality behind it before the solution is introduced.
| Signal | Context |
|---|---|
| 60% | of IT time spent on reactive firefighting |
| 4.2 hrs | average MTTR for critical incidents |
| 67% | burnout rate in IT operations — highest of any department |
| 80% | of incidents follow predictable patterns but are handled manually |
02
The Solution: Self-Healing Operations
03
TechSnitch Self-Healing IT Operations
"Systems that detect, diagnose, and resolve — while you sleep."
SAOS-powered self-healing operations transform IT from reactive firefighting to proactive, autonomous health management.
04
The Self-Healing Cycle
This journey table gives The Self-Healing Cycle a clear sequence, moving from each stage to the actions and technologies that support it.
| Stage | Actions | Technologies |
|---|---|---|
| Detect | AIOps anomaly detection, event correlation, threshold breach | ITOM, AIOps, DEX |
| Diagnose | Root cause analysis, CMDB trace, knowledge graph query | AI Reasoning, CMDB, KG |
| Resolve | Auto-remediation, workflow trigger, notification, escalation if needed | Flow Designer, Automation |
| Validate | Health check, performance verification, user validation | Monitoring, Survey |
| Learn | Store pattern, update playbook, improve model | ML, Feedback Loops |
05
Healing Playbook Library
This table translates Healing Playbook Library into a practical reference, organizing Incident Type, Detection Method, and Auto-Resolution so the section is easier to compare and act on.
| Incident Type | Detection Method | Auto-Resolution |
|---|---|---|
| Service Down | Health check failure, heartbeat timeout | Restart service, clear cache, verify connectivity |
| High CPU/Memory | Threshold breach, performance degradation | Scale resources, kill runaway processes, alert |
| Disk Space Full | Capacity threshold, growth rate anomaly | Clean temp files, archive logs, notify storage team |
| Security Event | Anomaly detection, threat intelligence | Isolate affected system, trigger incident response |
| Certificate Expiry | Date-based trigger, 30/60/90-day warnings | Auto-renew via ACME, update load balancers |
| Database Lock | Query timeout, deadlock detection | Kill blocking session, notify application team |
06
Escalation Matrix
This matrix converts Escalation Matrix into practical choices, connecting configuration options to the business impact they are meant to produce.
| Severity | Auto-Heal | Auto-Notify | Human Required | SLA Target |
|---|---|---|---|---|
| P1-Critical | Attempt (60s timeout) | Immediate (all channels) | Yes — within 5 min | 15 minutes |
| P2-High | Attempt (5m timeout) | Immediate (email + SMS) | Yes — within 30 min | 1 hour |
| P3-Medium | Full Auto (no timeout) | Standard (email) | No — monitor only | 4 hours |
| P4-Low | Full Auto (no timeout) | Daily digest only | No — review weekly | 24 hours |
07
Business Impact
This scorecard summarizes the commercial and operational outcomes for Business Impact, keeping the most important gains easy to scan before moving back into the narrative.
| Impact area | Result |
|---|---|
| 70% / Reduction in MTTR / 4.2h to 1.3h | 40% / Fewer Escalations / vs Manual Handling |
| 60% / Proactive Detection / vs Reactive Approach | 80% / Team Satisfaction / vs Firefight Mode |
