Harrison Vance

Streamlining production incident response through automated verification.

• The Symptom: Manual verification of production application services was slowing down initial ticket triage and increasing Mean Time to Resolution (MTTR).
• The Investigation: Support teams needed a faster way to confirm if a reported outage was a localized user issue or a broader service degradation.
• The Resolution: Developed lightweight Python diagnostic scripts to automatically ping endpoints, parse health status, and monitor application log files for recurring error patterns.
• Impact: Reduced manual verification time and accelerated engineering escalations.

Preventing service degradation through automated storage maintenance.

• The Symptom: Unmanaged production application logs risked filling server storage, potentially leading to service degradation and lost diagnostic data.
• The Resolution: Implemented automated Bash scripts for log rotation, compression, and cleanup on Linux servers.
• Impact: Ensured continuous availability of storage.
• Stability: Preserved critical logs for post-incident RCA.

Standardizing complex troubleshooting workflows for distributed systems.

• The Impact: Authored and maintained 15+ comprehensive technical SOPs.
• The Value: Standardized common support tasks and reduced tribal knowledge.
• Efficiency: Improved the efficiency of the broader support team by providing repeatable troubleshooting paths.
• Reliability: High-fidelity documentation for zero-to-one engineering teams.