Welcome to my projects portfolio! Here you'll find detailed descriptions of the cloud and DevOps projects I've worked on, highlighting my technical expertise and contributions.
Description:
Designed and implemented a cross-cloud backup solution to ensure disaster recovery compliance and high availability. This project utilized Azure Backup, AWS S3, and AWS Glacier to store redundant copies of critical data.
Key Responsibilities:
- Architected a scalable backup solution spanning Azure and AWS cloud platforms.
- Configured automated backup schedules and lifecycle policies to optimize storage costs.
- Integrated monitoring with Azure Monitor and AWS CloudWatch for backup health insights.
Technologies Used: Azure Backup, AWS S3, AWS Glacier, Azure Monitor, AWS CloudWatch, PowerShell, Python.
Description:
Reduced cloud expenses by developing cost-monitoring tools using GCP BigQuery and Azure Logic Apps. This initiative provided real-time insights into spending patterns and suggested optimization strategies.
Key Responsibilities:
- Created dashboards with BigQuery to analyze resource usage across cloud platforms.
- Built Azure Logic Apps workflows for automated cost alerts and recommendations.
- Saved 20% on cloud expenditure by optimizing underutilized resources and automating scaling.
Technologies Used: GCP BigQuery, Azure Logic Apps, Azure Cost Management, Python.
Description:
Migrated on-premise workloads to a hybrid cloud infrastructure, leveraging Azure, AWS, and GCP to enhance scalability and reliability.
Key Responsibilities:
- Led migration planning and execution for critical business applications.
- Established a secure VPN gateway for seamless hybrid connectivity.
- Configured load balancers across clouds to ensure application reliability.
Technologies Used: Azure VPN Gateway, AWS Direct Connect, GCP Interconnect, Terraform, Kubernetes.
Description:
Developed CI/CD pipelines to automate deployment workflows, reducing release times and ensuring high-quality code delivery.
Key Responsibilities:
- Implemented pipelines using Azure DevOps and Jenkins for automated builds, tests, and deployments.
- Integrated SonarQube for code quality checks and security compliance.
- Reduced deployment time by 50% while maintaining high reliability.
Technologies Used: Azure DevOps, Jenkins, SonarQube, Terraform, Docker, Kubernetes.
Feel free to explore my work or reach out for collaboration opportunities!
LinkedIn: linkedin.com/in/ngubriceche