GoogleCloudPlatform/magic-modules
Dec 2025 – Dec 2025
1 Month active
Languages Used
Go
Technical Skills
Cloud InfrastructureGoTerraform
sravani-bobbala
PROFILE
Sravani-bobbala
Sravani Bobbala developed a feature for the GoogleCloudPlatform/magic-modules repository that introduced explicit idle and auto-stop controls for Dataproc clusters. By adding the idle_stop_ttl and auto_stop_time configuration options, Sravani enabled users to automate cluster shutdown based on idle time or predefined schedules, directly addressing resource management and cost optimization needs. The implementation involved Go and Terraform, focusing on module development and integration with Google Cloud Dataproc. This work enhanced lifecycle automation and improved the developer experience for Terraform users managing Dataproc resources. Over the month, Sravani concentrated on feature delivery, with no major bugs reported or fixed during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
175
Activity Months1
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Implemented Dataproc Idle and Auto-Stop Configuration in the GoogleCloudPlatform/magic-modules repository to give users explicit control over cluster lifecycle and cost. The feature adds two new settings, idle_stop_ttl and auto_stop_time, enabling idle-time-based stopping and automatic stopping thresholds to optimize resource usage. The change is tracked under commit 72edcafab87d020451b9e1ad3131c921b0e5efce (Add support for dataproc cluster idle_stop_ttl and auto_stop_time, #15859). No major bugs were reported or fixed this month in relation to this feature. Overall impact includes improved cluster lifecycle automation, potential cost reductions, and a better developer experience for Terraform users interacting with Dataproc resources. Technologies demonstrated include GCP Dataproc, Terraform module development, and codebase maintenance within magic-modules.
1 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Implemented Dataproc Idle and Auto-Stop Configuration in the GoogleCloudPlatform/magic-modules repository to give users explicit control over cluster lifecycle and cost. The feature adds two new settings, idle_stop_ttl and auto_stop_time, enabling idle-time-based stopping and automatic stopping thresholds to optimize resource usage. The change is tracked under commit 72edcafab87d020451b9e1ad3131c921b0e5efce (Add support for dataproc cluster idle_stop_ttl and auto_stop_time, #15859). No major bugs were reported or fixed this month in relation to this feature. Overall impact includes improved cluster lifecycle automation, potential cost reductions, and a better developer experience for Terraform users interacting with Dataproc resources. Technologies demonstrated include GCP Dataproc, Terraform module development, and codebase maintenance within magic-modules.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Cloud InfrastructureGoTerraform
Repositories Contributed To
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