pgEdge/cli
Jun 2025 – Jun 2025
1 Month active
Languages Used
PythonShell
Technical Skills
CLI DevelopmentConfiguration ManagementDatabase ManagementSystem Administration
asifnaeem
PROFILE
Asifnaeem
Developed custom data directory support for the pgEdge/cli repository, enabling users to specify a PostgreSQL data directory through the new --pg_data flag in the CLI setup command. This feature was engineered using Python and Shell, with a focus on robust configuration management and database administration. The implementation included absolute path validation and safe fallback mechanisms, ensuring reliable operation across diverse environments and multi-instance deployments. By integrating this capability into both cluster and node management workflows, the work improved data locality and streamlined backup and restoration processes, ultimately increasing deployment flexibility for users managing PostgreSQL instances with the pgEdge CLI.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
96
Activity Months1
Your Network
14 peopleShared Repositories
14
Antony PeggMember
cmotykaMember
Denis LussierMember
Gabrielle PonceyMember
hayee-bhattiMember
Ibrar AhmedMember
Jason LynchMember
Matthew MolsMember
Moiz IbrarMember
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 (2025-06): Delivered Custom Data Directory Support for the pgEdge CLI, enabling explicit PostgreSQL data directory configuration via the --pg_data flag. Implemented robust integration with cluster and node management, including absolute path validation and safe fallbacks to ensure reliable operation across environments and multi-instance deployments. This enhancement improves data locality, simplifies backups/restoration workflows, and increases deployment flexibility for customers.
1 Commits • 1 Features
Jun 1, 2025June 2025 (2025-06): Delivered Custom Data Directory Support for the pgEdge CLI, enabling explicit PostgreSQL data directory configuration via the --pg_data flag. Implemented robust integration with cluster and node management, including absolute path validation and safe fallbacks to ensure reliable operation across environments and multi-instance deployments. This enhancement improves data locality, simplifies backups/restoration workflows, and increases deployment flexibility for customers.
June 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
CLI DevelopmentConfiguration ManagementDatabase ManagementSystem Administration
Repositories Contributed To
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