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Yanwei Guo

PROFILE

Yanwei Guo

Yanwei Guo developed and enhanced Cloud Run v2 features in the GoogleCloudPlatform/magic-modules repository, focusing on GPU support, multi-container job deployment, and service scaling configuration. Using Go, Terraform, and YAML, Yanwei implemented GPU resource modeling for Cloud Run v2 Jobs, promoted GPU fields from beta to GA, and introduced zonal redundancy configuration to improve production readiness. Yanwei also clarified scaling parameter documentation and automated API-driven scaling defaults, reducing manual configuration and user confusion. The work included comprehensive test coverage and example updates, ensuring stability and reliability for infrastructure as code workflows and enabling broader, more consistent adoption by users.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

10Total
Bugs
0
Commits
10
Features
7
Lines of code
210
Activity Months6

Work History

November 2025

2 Commits • 1 Features

Nov 1, 2025

November 2025 (2025-11) focused on stabilizing Cloud Run GPU Job configuration and enabling API-driven scaling defaults in the GoogleCloudPlatform/magic-modules repo. By removing the launch_stage attribute from GPU job definitions (and its tests) we enabled a stable, beta-free release. In parallel, we introduced a default_from_api: true setting for the scaling field to automate API-driven scaling, reducing manual configuration and improving scalability for users. Test updates aligned with the new defaults to improve CI reliability and reduce flakiness.

July 2025

3 Commits • 2 Features

Jul 1, 2025

July 2025: Delivered production-ready GPU support for Cloud Run v2 Jobs in the Google Cloud Platform magic-modules repository. The work promoted GPU fields from beta to GA, removed beta constraints, and updated the Terraform provider configuration to use the stable release, enabling GPU capabilities without relying on beta features. Added gpuZonalRedundancyDisabled flag to configure zonal GPU redundancy, with corresponding updates to Job YAML, Terraform examples, and tests. These changes improve production readiness, configurability, and developer experience for customers deploying GPU-accelerated Cloud Run v2 Jobs.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025: Implemented GPU support for Cloud Run v2 Jobs within Magic Modules. Delivered resource modeling updates, tests, and examples to enable GPU requirements in Cloud Run v2 Jobs and ensured traceability via a single commit.

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary for GoogleCloudPlatform/magic-modules. Key feature delivered: Multi-container deployment example for Cloud Run v2 Job, including a new Job.yaml entry and a Terraform template to enable multi-container job setups. This enables customers to deploy Cloud Run jobs with multiple containers more easily and consistently. Commit reference: e4e1b85b6bce1201ff4c1d45c745282abcb1c5ad (Add an example for cloud_run_v2_job resource using multi-container, #13794).

March 2025

2 Commits • 1 Features

Mar 1, 2025

March 2025 monthly summary for GoogleCloudPlatform/magic-modules: Delivered GPU zonal redundancy support for Cloud Run v2 services, including a new annotation to disable GPU redundancy, removal of beta version constraints, and streamlined provider configurations to simplify service definitions. Also fixed related issues by removing the beta launch stage from the cloudrunv2_service_gpu example to align usage with GA stability. These changes increase resilience for GPU-enabled workloads, reduce setup friction, and improve governance for Cloud Run deployments.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 — GoogleCloudPlatform/magic-modules: Focused on clarifying Cloud Run v2 service scaling configuration documentation. Delivered explicit clarifications for minInstanceCount and maxInstanceCount defaults/constraints in cloud_run_v2_service, enabling correct service scaling configurations and reducing user confusion. No major bugs fixed this month. Impact: improved onboarding, reduced risk of misconfigurations, and clearer module docs for Cloud Run v2.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GoTerraformYAMLgoterraformtmplyaml

Technical Skills

API developmentCloud ComputingCloud ConfigurationCloud RunDevOpsDocumentationGPU ConfigurationGoGoogle Cloud PlatformInfrastructure as CodeTerraformTestingcloud infrastructureconfiguration management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

GoogleCloudPlatform/magic-modules

Dec 2024 Nov 2025
6 Months active

Languages Used

YAMLGoTerraformterraformyamlgotmpl

Technical Skills

Cloud ConfigurationDocumentationCloud RunGPU ConfigurationGoogle Cloud PlatformInfrastructure as Code

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