splunk/contentctl
Jun 2025 – Jul 2025
2 Months active
Languages Used
Python
Technical Skills
AutomationBackend DevelopmentCode FormattingCode RefactoringConfiguration ManagementData Modeling
Xiaonan Qi
PROFILE
Xiaonan Qi
Worked on the splunk/contentctl repository to deliver a robust Correlation Search dispatch and validation workflow, focusing on end-to-end automation and reliability. Developed features in Python that enabled automated reruns on failure, dynamic waiting with exponential backoff, and SID-based querying to retrieve risk and notable events. Enhanced error handling, logging, and timeout configurations improved observability and production readiness. Refactored validation logic into a clear, testable flow and streamlined retry behavior with adaptive wait time calculations. Improved documentation clarified validation conditions and parameter usage, while code formatting and linting ensured maintainability. The work emphasized backend development, scripting, and data modeling.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
18Total
Bugs
0
Commits
18
Features
2
Lines of code
902
Activity Months2
Your Network
114 peopleSame Organization
@splunk.com105
Shared Repositories
9
Work History
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Splunk ContentCTL focused on CorrelationSearch enhancements: improved documentation, reliability, and retry behavior; removal of pre-execution cleanup for risk/notable events; adaptive wait_time logic to optimize retries; delivered with minimal risk and clear business value.
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for Splunk ContentCTL focused on CorrelationSearch enhancements: improved documentation, reliability, and retry behavior; removal of pre-execution cleanup for risk/notable events; adaptive wait_time logic to optimize retries; delivered with minimal risk and clear business value.
July 2025
June 2025
15 Commits • 1 Features
Jun 1, 2025June 2025: Implemented a robust Correlation Search: Dispatch and Validation Workflow in splunk/contentctl, delivering end-to-end saved search dispatch with automated reruns on failure, dynamic waiting using exponential backoff, enhanced logging, timeout configurations, and SID-based querying to retrieve risk/notable events. Consolidated validation logic into a clear, testable flow with improved error handling and observability. The work improves reliability of risk detection, reduces manual intervention, and enhances production readiness.
June 2025
15 Commits • 1 Features
Jun 1, 2025June 2025: Implemented a robust Correlation Search: Dispatch and Validation Workflow in splunk/contentctl, delivering end-to-end saved search dispatch with automated reruns on failure, dynamic waiting using exponential backoff, enhanced logging, timeout configurations, and SID-based querying to retrieve risk/notable events. Consolidated validation logic into a clear, testable flow with improved error handling and observability. The work improves reliability of risk detection, reduces manual intervention, and enhances production readiness.
Activity
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Quality Metrics
Correctness86.6%
Maintainability87.8%
Architecture85.6%
Performance76.6%
AI Usage21.2%
Skills & Technologies
Programming Languages
Python
Technical Skills
AutomationBackend DevelopmentCode FormattingCode RefactoringConfiguration ManagementData AnalysisData ModelingData QueryingDebuggingDocumentationError HandlingLintingLoggingPythonPython Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline