This project focuses on building a fully automated CI/CD pipeline on Google Cloud using Cloud Build and Cloud Deploy. It manages the complete application lifecycle from source code commit to production deployment. Build triggers, automated testing, and artifact versioning are implemented to ensure consistent releases. Deployment strategies such as blue-green and canary are configured to minimize risk. Monitoring and rollback mechanisms are integrated for operational stability. The project reflects real-world DevOps pipelines used by enterprise cloud engineering teams.

This project focuses on designing and managing cloud infrastructure using Terraform as Infrastructure as Code on Google Cloud. It automates the provisioning of VPCs, IAM roles, GKE clusters, and monitoring resources across multiple environments. Version-controlled configurations ensure repeatability, security, and compliance. Change management and state handling are implemented to reduce configuration drift. The project reflects real-world infrastructure automation practices followed by large-scale cloud operations teams.

This project focuses on implementing a centralized monitoring and reliability management system using Google Cloud Operations Suite. It manages logs, metrics, alerts, and dashboards to monitor application and infrastructure health. SLIs and SLOs are defined to measure reliability and enforce error budgets. Automated alerts and incident response workflows are configured to reduce downtime. The project reflects real-world SRE and operational monitoring workflows used in enterprise production environments.