π 2024-02-19 β Session: Resolved Deployment and Logging Issues in GCP
π 17:55β19:15
π·οΈ Labels: Google Cloud, App Engine, Deployment, Logging, Python
π Project: Dev
β Priority: MEDIUM
Session Goal
The primary goal of this session was to resolve deployment and logging issues encountered in Google Cloud Platform (GCP) applications, particularly those using Google App Engine and Flask.
Key Activities
- Deployment Error Resolution: Addressed deployment errors in Google App Engine by reviewing project configurations, quotas, and logs.
- Logging Integration: Integrated Google Cloud Logging with Flask, focusing on configuration issues related to the βENVβ variable.
- YAML Syntax Correction: Resolved syntax errors in the app.yaml file for GCP deployments.
- Entrypoint Configuration: Troubleshot syntax errors in App Engine entrypoint configurations.
- File System Error Handling: Solved OSError related to read-only file systems by changing log file locations and using Google Cloud Logging.
- File Handling Issues: Reflected on common file handling and permissions issues in GCPβs App Engine environment.
- Logger Initialization: Diagnosed and fixed
AttributeError
in Python logger initialization. - Object-Oriented Design: Planned and implemented object-oriented design for evaluators in Python applications.
Achievements
- Successfully resolved multiple deployment and logging issues in GCP.
- Improved logging integration and error handling in Flask applications.
- Enhanced understanding of file handling and permissions in GCP.
- Developed a robust object-oriented design for evaluators in Python.
Pending Tasks
- Further testing of the implemented solutions in different environments to ensure robustness.
- Review and refine the object-oriented design for evaluators to accommodate future scalability.