PaloAltoNetworks/terraform-aws-swfw-modules
Jul 2025 – Sep 2025
2 Months active
Languages Used
HCL
Technical Skills
AWSCloud InfrastructureDocumentationTerraformInfrastructure as Code
gmcarneiro-palo
PROFILE
Gmcarneiro-palo
Gabriel Franco Carnicella enhanced the PaloAltoNetworks/terraform-aws-swfw-modules repository by developing features that streamline secure cloud deployments and improve user experience. He enabled AI Runtime Security (AIRS) deployment within both the vmseries and Auto Scaling Group modules, introducing new input variables, feature flags, and conditional logic to select the correct AMI, instance type, and product code for each deployment type. Using Terraform, HCL, and AWS, Gabriel focused on backward-compatible infrastructure as code enhancements and comprehensive documentation updates. His work accelerated onboarding for developers and operators, reduced operational overhead, and ensured consistent, scalable security posture across AWS environments without introducing breaking changes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
466
Activity Months2
Your Network
55 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary: Delivered AIRS deployment capability in the ASG module of the PaloAltoNetworks/terraform-aws-swfw-modules repo. Introduced airs_deployment flag and deployment-specific AMI/instance-type/product code selection to differentiate AIRS deployments from VM-Series, enabling scalable AI Runtime Security deployments within AWS Auto Scaling Groups. No major bugs fixed this month. Business value: faster secure deployments, consistent security posture across environments, and reduced operational overhead. Technologies demonstrated: Terraform module development, AWS ASG integration, conditional configuration, and AMI/product code mapping for deployment types.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary: Delivered AIRS deployment capability in the ASG module of the PaloAltoNetworks/terraform-aws-swfw-modules repo. Introduced airs_deployment flag and deployment-specific AMI/instance-type/product code selection to differentiate AIRS deployments from VM-Series, enabling scalable AI Runtime Security deployments within AWS Auto Scaling Groups. No major bugs fixed this month. Business value: faster secure deployments, consistent security posture across environments, and reduced operational overhead. Technologies demonstrated: Terraform module development, AWS ASG integration, conditional configuration, and AMI/product code mapping for deployment types.
September 2025
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025 (2025-07) monthly summary for PaloAltoNetworks/terraform-aws-swfw-modules. Focused on improving user documentation clarity and enabling AIRS deployment in the vmseries module. Key outcomes include improved README readability without code changes and the ability to deploy AI Runtime Security (AIRS) within VM-Series, with new inputs and an AIRS-specific AMI lookup. Business value: faster onboarding for developers and operators, and expanded secure deployment options for runtime protection. Technical highlights: Terraform module enhancements, new input variables (AIRS version, product code, instance type), feature flag enable, changes to AMI selection logic, and documentation refactoring. No major bugs fixed in this period.
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025 (2025-07) monthly summary for PaloAltoNetworks/terraform-aws-swfw-modules. Focused on improving user documentation clarity and enabling AIRS deployment in the vmseries module. Key outcomes include improved README readability without code changes and the ability to deploy AI Runtime Security (AIRS) within VM-Series, with new inputs and an AIRS-specific AMI lookup. Business value: faster onboarding for developers and operators, and expanded secure deployment options for runtime protection. Technical highlights: Terraform module enhancements, new input variables (AIRS version, product code, instance type), feature flag enable, changes to AMI selection logic, and documentation refactoring. No major bugs fixed in this period.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
HCL
Technical Skills
AWSCloud InfrastructureDocumentationInfrastructure as CodeTerraform
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