Monitoring & Logging: Centralized using Cloud Monitoring and Cloud Logging.
CI/CD: Automated deployments via Cloud Build triggered by code commits to Cloud Source Repositories.
- Project Phases Discovery & Planning:
Detailed requirements gathering.
Architecture design and service selection.
Security and compliance planning.
Cost estimation and budgeting.
Infrastructure Setup & Automation:
Provisioning GCP resources using Infrastructure as Code (e.g., Terraform).
Setting up networking, VPCs, and firewall rules.
Configuring monitoring, logging, and alerting.
Application Development & Integration:
Developing frontend and backend components.
Integrating with chosen database services.
Implementing authentication and authorization.
Writing unit and integration tests.
CI/CD Implementation:
Setting up automated build, test, and deployment pipelines.
Implementing blue/green or canary deployment strategies.
Testing & Optimization:
Performance testing (load testing, stress testing).
Security testing (vulnerability scans, penetration testing).
Cost optimization reviews.
Deployment & Monitoring:
Production deployment.
Continuous monitoring and incident response.
Regular performance reviews and scaling adjustments.
- Success Metrics Uptime: Target 99.99% availability.
Response Time: Average API response time under 200ms.
Scalability: Ability to handle 10x increase in concurrent users without performance degradation.
Security: Zero critical security vulnerabilities identified post-deployment.
Cost Efficiency: Operating costs within projected budget.
This project overview provides a foundational understanding of building a scalable web application on GCP. Further detailed design and implementation plans will elaborate on each of these aspects.
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