4 Production Agent Upgrades in 48 Hours: What Broke and What Worked

We upgraded 4 production OpenClaw agents from version 2026.2.1 to 2026.2.3 over a weekend. Here's what we learned when things didn't go as planned.

The Setup

• Environment: 4 production agents handling 12K+ daily tasks
• Timeline: Friday 6PM to Sunday 6PM
• Team: 2 engineers on-call
• Rollback plan: Database snapshots + container rollback

What Broke First

Memory Leak in Agent 3

Issue: Memory usage climbed from 2GB to 8GB within 4 hours post-upgrade.

Root cause: New task queuing mechanism wasn't releasing completed task objects.

Fix:

# Added to agent config
task_cleanup:
  enabled: true
  interval: 300s
  max_completed_tasks: 1000

Time to resolution: 6 hours (including investigation)

Database Migration Timeout

Issue: Migration step hung for 45 minutes on Agent 2's task_logs table (2.3M records).

What we did wrong: Ran migration during peak hours without batch processing.

Fix:

• Killed the migration
• Enabled batch mode: --batch-size=10000
• Ran during off-peak hours (3AM)

Time to resolution: 8 hours total (including retry)

What Worked Better Than Expected

Rolling Deployment Strategy

Approach: Upgraded one agent at a time with 2-hour monitoring windows.

Result: Caught the memory leak early before affecting all environments.

Key insight: The extra time investment (48 hours vs planned 12 hours) prevented a potential outage.

Health Check Automation

Setup:

#!/bin/bash
# post-upgrade-check.sh
curl -f http://localhost:8080/health || exit 1
check_memory_usage < 4GB || exit 1
verify_task_processing_rate > 100/min || exit 1

Result: Automatically flagged Agent 3's memory issue within 30 minutes.

Database Migration Lessons

Before Migration

1. Check table sizes: SELECT count(*) FROM task_logs;
2. Estimate duration: ~1 minute per 100K records for schema changes
3. Enable batch processing: Always use --batch-size for tables >500K records

During Migration

1. Monitor locks: SHOW PROCESSLIST; every 5 minutes
2. Track progress: Enable migration logging
3. Set timeouts: Max 30 minutes per table

Post-Migration

1. Verify data integrity: Run provided validation queries
2. Check performance: Compare task processing rates
3. Monitor for 24 hours: Memory, CPU, and task throughput

Rollback Strategy That Saved Us

Pre-Upgrade Snapshots

# Database backup
mysqldump --single-transaction openclaw_prod > backup_pre_upgrade.sql

# Container state
docker commit openclaw-agent openclaw-agent:pre-upgrade-backup

Quick Rollback Process

1. Stop current container: docker stop openclaw-agent
2. Restore database: mysql openclaw_prod < backup_pre_upgrade.sql
3. Start backup container: docker run openclaw-agent:pre-upgrade-backup

Total rollback time: 12 minutes per agent

Configuration Changes That Matter

Memory Management

# openclaw.yml
resources:
  memory_limit: "6GB"  # Increased from 4GB
  gc_interval: 60s     # New in 2026.2.3
  
task_processing:
  max_concurrent: 50   # Reduced from 100
  cleanup_interval: 300s

Monitoring Thresholds

alerting:
  memory_usage_percent: 75  # Down from 85
  task_queue_depth: 500     # New threshold
  response_time_p95: 2000ms # Tightened from 5000ms

The Real Upgrade Checklist

1 Week Before

• Read release notes thoroughly
• Test upgrade in staging with production data volume
• Prepare rollback scripts
• Schedule maintenance window

Day Of

• Take database snapshots
• Update monitoring thresholds
• Upgrade one agent at a time
• Monitor for 2 hours between agents

24 Hours After

• Verify all metrics are stable
• Check error logs for new patterns
• Validate task processing accuracy
• Update runbooks with lessons learned

Bottom Line

• Budget 4x your estimated time for production upgrades
• Always upgrade one instance first - it will find the problems
• Database migrations need batch processing for any table >500K records
• Memory monitoring is critical - new versions can have different resource patterns
• Have a tested rollback plan - you'll probably need it

The upgrade was ultimately successful, but took 48 hours instead of the planned 12. The extra time investment prevented what could have been a multi-day outage.