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Software & Infrastructure Automation

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

Overview
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Engineered automated solutions to provision, deploy, and maintain virtualized infrastructure and software systems.
The goal was to reduce manual intervention, ensure repeatability, and maintain operational reliability across heterogeneous environments.


Problem
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Manual system provisioning and software deployment:

  • Was slow and error-prone
  • Lacked standardized procedures
  • Limited scalability across multiple sites
  • Required heavy operational oversight

A structured automation framework was needed to ensure repeatable, reliable, and auditable infrastructure workflows.


Architecture & Engineering Approach
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CI/CD Pipelines
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  • Implemented GitLab CI/CD pipelines for automated deployment and configuration
  • Integrated multi-step workflows: code fetch, build, test, artifact creation, and deployment
  • Orchestrated environment-specific pipelines for development, staging, and production

Configuration Management
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  • Built infrastructure-as-code using Ansible for VM provisioning and system configuration
  • Automated installation and configuration of applications across multiple nodes
  • Centralized variable management and reusable roles for consistent deployments

Virtualization & Cloud Platforms
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  • Leveraged Proxmox and OpenStack for scalable VM deployments
  • Automated VM lifecycle: creation, configuration, snapshotting, and decommissioning
  • Integrated monitoring hooks to track infrastructure health and pipeline success

Key Engineering Elements
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  • Fully automated deployment of virtualized environments
  • Version-controlled, repeatable, and auditable workflows
  • Modular configuration management with Ansible roles and playbooks
  • Integration of CI/CD pipelines with operational monitoring
  • Orchestration across multiple virtualized and cloud environments

Outcomes
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  • Significantly reduced deployment time and operational errors
  • Improved infrastructure reliability and scalability
  • Enabled continuous integration and automated software delivery
  • Provided a foundation for predictive operations and analytics
  • Demonstrated the ability to engineer end-to-end automated systems

Skills Demonstrated
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  • Infrastructure Automation & Orchestration
  • CI/CD Pipeline Design and Implementation
  • Configuration Management with Ansible
  • Virtualization & Private Cloud Platforms (Proxmox, OpenStack)
  • Operational Reliability Engineering
  • Workflow Design & Systems Integration

Related

Private Cloud & Infrastructure Engineering
Monitoring & Observability Platform Architecture
Hydrometric Forecasting & Telemetry Platform