pagopa/pn-troubleshooting
Jan 2025 – Jan 2025
1 Month active
Languages Used
BashJavaScriptMarkdownShell
Technical Skills
API IntegrationAWSAWS CLIAWS LambdaBackend DevelopmentCLI
gaspare.perricone
PROFILE
Gaspare.perricone
Gaspare Perricone developed automation and monitoring tooling for the pagopa/pn-troubleshooting repository, focusing on environment provisioning and enhanced observability for ECS deployments. He built a Node.js CLI script to manage the lifecycle of Lambda-backed ECS environments, implementing argument parsing, validation, and AWS Lambda invocation to streamline operations. Leveraging JavaScript and AWS CLI, he also introduced tools for listing and monitoring ECS cluster and service statuses, improving visibility into deployment health. His work included codebase cleanup, onboarding improvements, and comprehensive documentation updates, resulting in a more maintainable and scalable backend foundation that supports faster incident response and team adoption.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
2
Lines of code
9,144
Activity Months1
Your Network
89 people
Work History
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for the pagopa/pn-troubleshooting repository. Focused on delivering automation for environment provisioning, enhanced observability of ECS deployments, and codebase cleanup to improve maintainability and velocity. The work spans Node.js scripting, AWS API interactions, and documentation improvements, positioning the team for scalable operations and faster incident response.
8 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for the pagopa/pn-troubleshooting repository. Focused on delivering automation for environment provisioning, enhanced observability of ECS deployments, and codebase cleanup to improve maintainability and velocity. The work spans Node.js scripting, AWS API interactions, and documentation improvements, positioning the team for scalable operations and faster incident response.
January 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability82.6%
Architecture82.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashJavaScriptMarkdownShell
Technical Skills
API IntegrationAWSAWS CLIAWS LambdaBackend DevelopmentCLICloud ComputingCommand Line ArgumentsDevOpsDocumentationJavaScriptNode.jsScriptingShell Scripting
Repositories Contributed To
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