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Private Cloud & Infrastructure Engineering

Greg d'Entremont, P.Eng.
Author
Greg d’Entremont, P.Eng.

Overview
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Designed and deployed private cloud and virtualized infrastructure environments to provide scalable, reliable, and automated operational platforms.
This work focused on infrastructure orchestration, lifecycle management, and integration with automated deployment pipelines.


Problem
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Traditional infrastructure operations faced multiple challenges:

  • Slow and error-prone provisioning of virtual machines and services
  • Manual configuration and patching of nodes
  • Limited scalability and resource optimization
  • Fragmented monitoring and operational visibility

A modern, automated private cloud solution was required to streamline operations and reduce human error.


Architecture & Engineering Approach
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Virtualization & Cloud Platforms
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  • Implemented Proxmox clusters for VM orchestration and high-availability workloads
  • Deployed OpenStack environments for multi-tenant private cloud capabilities
  • Designed storage and network topology for performance, redundancy, and scalability

Automation & Configuration
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  • Leveraged Ansible for infrastructure-as-code to provision, configure, and maintain nodes
  • Created reusable roles and playbooks to standardize deployments
  • Integrated with CI/CD pipelines for automated VM and service rollout

Operational Monitoring & Reliability
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  • Instrumented infrastructure with monitoring tools for resource utilization, performance, and health metrics
  • Integrated logging and alerting for proactive issue detection
  • Established operational procedures for backup, snapshotting, and disaster recovery

Key Engineering Elements
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  • Private cloud architecture and VM lifecycle management
  • Automated provisioning, configuration, and patching workflows
  • Resource optimization and capacity planning for clustered environments
  • High-availability design and fault tolerance for mission-critical workloads
  • Integration with CI/CD pipelines for end-to-end automated deployment

Outcomes
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  • Fully automated private cloud environment supporting multiple teams and workloads
  • Dramatic reduction in manual provisioning and operational errors
  • Scalable infrastructure capable of handling growth without additional manual intervention
  • Reliable, observable, and maintainable platform for production services
  • Established a foundation for continuous integration and automated service delivery

Skills Demonstrated
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  • Private Cloud Architecture (Proxmox & OpenStack)
  • Infrastructure Automation & Orchestration
  • Configuration Management (Ansible)
  • Virtualization & Cluster Design
  • Operational Reliability & Monitoring
  • Workflow Integration with CI/CD

Related

Software & Infrastructure Automation
Monitoring & Observability Platform Architecture
Hydrometric Forecasting & Telemetry Platform