Improved Integration Monitoring

Project Outline

When a critical integration was discovered to be malfunctioning, resulting in data loss during transmission, I took the initiative to resolve the issue. Utilizing Python, Kubernetes, and OAuth 2.0, I developed an application that identifies the malfunctioning integrations and alerts the support team to accounts with improper access configurations. The app, containerized and deployed via Kubernetes, generates comprehensive reports on clients using the data integration. It accesses OAuth 2.0 protected APIs, uses Redis as a data store, and includes a complete web flow for obtaining JWT codes using, showcasing my proficiency in modern web technologies and security practices.

Project Result

The deployed Python app significantly improved the team's ability to monitor and maintain the critical integration. Thanks to the efficient code and well-designed architecture, they were able to quickly identify and resolve malfunctioning integrations, ensuring proper data transmission. Furthermore, the app allowed the team to proactively reach out to clients whose accounts were not properly configured for integration access, improving the overall user experience and reducing support tickets related to integration issues.