Improved Integration Monitoring
Platform Engineering
Built a containerized Python monitoring platform that detected broken integrations, surfaced OAuth configuration issues, and gave support teams actionable reporting before clients felt the impact.
Core Skills
Python
Kubernetes
OAuth 2.0
Redis
Observability
API Integrations
Reporting Automation
Year
2024
Impact
Proactive issue detection and lower support burden
Focus
Integration Monitoring, Platform Reliability
When a critical integration began failing and causing data loss in transit, I built a monitoring application to find the breakpoints quickly and expose misconfigured client access before they escalated into larger incidents. The service used Python, Redis, and OAuth 2.0-aware API workflows to inspect integration health and identify accounts with invalid or incomplete permissions.
I containerized the application and deployed it on Kubernetes so it could run reliably, generate repeatable reports, and support a secure authentication flow for protected APIs. That combination of automation and platform engineering turned a reactive troubleshooting problem into a proactive support capability.
Team Impact
The deployed application gave the team a practical way to monitor a fragile integration, resolve failures faster, and proactively contact clients with broken access configurations. That reduced support friction, improved user trust, and demonstrated my ability to pair backend engineering with operational problem solving.
For hiring teams, this project highlights several current-market strengths at once: Python development, Kubernetes deployment, API security, OAuth flows, reporting automation, and observability-minded engineering.