sonic-net/sonic-mgmt
Jan 2026 – Jan 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
CI/CDData analysisDevOpsPython scripting
abdusyedwork
PROFILE
Abdusyedwork
Abdus Syed developed a telemetry feature for the sonic-net/sonic-mgmt repository, enabling capture and visualization of KVM testbed lock timing metrics. He designed a Python-based data handling script and updated YAML pipeline configurations to collect, enrich, and upload lock duration data to the SonicTestData Kusto database. This integration supports data-driven analysis in Grafana, allowing teams to monitor and optimize testbed performance. Abdus also enhanced the CI/CD pipeline’s resilience by implementing graceful exit paths, ensuring partial failures do not disrupt main workflows. His work demonstrates depth in CI/CD, DevOps, and Python scripting, focusing on robust, maintainable data analysis solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
230
Activity Months1
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 focused on delivering telemetry for KVM testbed lock timing and integrating it into the analytics stack for Sonic-MGMT. Delivered the KVM Testbed Lock Timing Metrics Capture and Visualization feature to monitor and analyze lock durations, including a Python data handling script and pipeline config changes to upload metrics to the SonicTestData Kusto database, enabling visibility in Grafana. Implemented end-to-end data collection and ingestion through test_plan.py, add_lock_timing_info.py, and pipeline updates (run-test-elastictest-templete.yml and report_uploader.py), with preparations for a Grafana dashboard. Added resilience improvements with graceful exits to prevent partial failures from impacting the main CI/CD pipeline. These changes enable data-driven optimization of test durations and improve overall platform stability.
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 focused on delivering telemetry for KVM testbed lock timing and integrating it into the analytics stack for Sonic-MGMT. Delivered the KVM Testbed Lock Timing Metrics Capture and Visualization feature to monitor and analyze lock durations, including a Python data handling script and pipeline config changes to upload metrics to the SonicTestData Kusto database, enabling visibility in Grafana. Implemented end-to-end data collection and ingestion through test_plan.py, add_lock_timing_info.py, and pipeline updates (run-test-elastictest-templete.yml and report_uploader.py), with preparations for a Grafana dashboard. Added resilience improvements with graceful exits to prevent partial failures from impacting the main CI/CD pipeline. These changes enable data-driven optimization of test durations and improve overall platform stability.
January 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
CI/CDData analysisDevOpsPython scripting
Repositories Contributed To
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