G-Core/terraform-provider-gcore
Nov 2024 – Oct 2025
3 Months active
Languages Used
GoHCL
Technical Skills
API IntegrationCloud InfrastructureTerraform Provider DevelopmentCloud ComputingInfrastructure as CodeTerraform
BonusNone
PROFILE
Bonusnone
Worked on the G-Core/terraform-provider-gcore repository, delivering features and fixes that enhanced cloud infrastructure automation and documentation. Developed metadata item management for instances using the v2 API, updating resources to leverage new client functions and upgrading dependencies for improved maintainability. Addressed provisioning reliability by implementing robust interface name handling, reducing errors when unique names were missing from the API. Contributed a practical example for deploying GPU AI clusters with VAST file share integration, providing clear documentation and code snippets to streamline persistent storage setup for AI workloads. Utilized Go, Terraform, and Infrastructure as Code principles to ensure scalable, automated solutions.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
130
Activity Months3
Your Network
8 peopleWork History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly work summary focusing on key accomplishments for G-Core/terraform-provider-gcore. Delivered a practical GPU AI cluster with a VAST file share example, including code snippets to define and mount the file share, enabling persistent storage for AI workloads and faster onboarding.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly work summary focusing on key accomplishments for G-Core/terraform-provider-gcore. Delivered a practical GPU AI cluster with a VAST file share example, including code snippets to define and mount the file share, enabling persistent storage for AI workloads and faster onboarding.
October 2025
January 2025
1 Commits
Jan 1, 2025January 2025: Focused on stability and correctness of the G-Core Terraform provider. Implemented robust interface name handling for instance configurations, ensuring reliable operations even when the API omits a unique interface name. This reduces provisioning errors and improves user trust in automated infrastructure deployments.
January 2025
1 Commits
Jan 1, 2025January 2025: Focused on stability and correctness of the G-Core Terraform provider. Implemented robust interface name handling for instance configurations, ensuring reliable operations even when the API omits a unique interface name. This reduces provisioning errors and improves user trust in automated infrastructure deployments.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Implemented metadata item management for instances via the v2 API in the G-Core terraform-provider-gcore. Updated the resource to use the new client and metadata-item specific get/update/delete functions, and upgraded gcorelabscloud-go to the latest version to support these changes. This enables precise, automated management of instance metadata at scale and aligns the provider with the v2 API migration roadmap. The work improves automation potential, reduces manual configuration, and enhances maintainability through dependency upgrades and API client refactoring. No major bugs reported; this milestone solidifies API compatibility and sets the stage for future metadata enhancements.
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Implemented metadata item management for instances via the v2 API in the G-Core terraform-provider-gcore. Updated the resource to use the new client and metadata-item specific get/update/delete functions, and upgraded gcorelabscloud-go to the latest version to support these changes. This enables precise, automated management of instance metadata at scale and aligns the provider with the v2 API migration roadmap. The work improves automation potential, reduces manual configuration, and enhances maintainability through dependency upgrades and API client refactoring. No major bugs reported; this milestone solidifies API compatibility and sets the stage for future metadata enhancements.
November 2024
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoHCL
Technical Skills
API IntegrationCloud ComputingCloud InfrastructureDocumentationInfrastructure as CodeTerraformTerraform Provider Development
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