AI Agents for DevOps

Investigation Started Analyzing system metrics and logs. Current hypotheses: network issues, database problems, or recent deployment.

Multiple potential causes identified.

Testing initial hypotheses based on the symptoms:

Hypothesis 1: Network Issues

• •Check: Network latency measurement
• •Result: 12ms average (normal range)
• •Assessment: Network infrastructure appears healthy
• •Status: Ruled out

Hypothesis 2: Recent Deployment Impact

• •Check: Deployment history review
• •Result: Last release was 3 days ago
• •Assessment: No correlation with incident timeline
• •Status: Ruled out

Need to investigate other potential causes...

Database Analysis

Found anomaly in connection pool utilization: 89% pool utilization (normal: 45%)

Memory Leak Detected

auth-service memory: 2.1GB → 4.7GB (2h)

Problematic Code (auth-service/db.js:127):

javascript
function createConnection() {
  const connection = mysql.createConnection({
    host: process.env.DB_HOST,
    user: process.env.DB_USER,
    password: process.env.DB_PASS
  });
  
  // BUG: Connection never closed!
  connections.push(connection);
  return connection;
}

Proposed Actions (requires approval):

1. •Scale auth-service replicas (2→6) - Safe
2. •Restart pods in rolling fashion - Medium risk
3. •Deploy hotfix for connection leak - High risk

Rollback Plan Confirmed

Safety Measures:

• •Can revert to 2 replicas if issues arise
• •Pod restart reversible (previous versions available)
• •Circuit breakers will isolate auth-service if needed

Executing Actions:

• • Scaling auth-service: 2→6 replicas
• • Rolling restart: 0/6 pods restarted

Active Monitoring:

• •Error rates
• •Response times
• •Connection pools

Recovery Status

Actions Completed:

• • Scaling complete: 6/6 replicas healthy
• • Rolling restart: 6/6 pods restarted (0 downtime)

System Metrics:

• • Connection pool: 47% utilization (normal range)
• • API response: 180ms avg (was 15s)
• • Error rate: 0.8% (was 23%)

Incident Resolved (15 min observation complete)

Total Duration: 13 minutes Impact: ~$3,200 revenue loss Users Affected: ~1,250

Post-Incident Actions Needed:

• • Schedule hotfix deployment (non-critical window)
• • Update monitoring thresholds for connection pools
• • Review auth-service memory allocation
• • Conduct blameless post-mortem

Stakeholder Update: Incident Commander, Customer Support notified of resolution