SeldonIO/seldon-core
Jul 2025 – Jul 2025
1 Month active
Languages Used
Go
Technical Skills
Go DevelopmentMonitoringObservability
Sherif Akoush
PROFILE
Sherif Akoush
Sherif Akoush focused on enhancing observability and reliability for GPU-accelerated workloads in SeldonIO’s seldon-core repository. He addressed a critical issue in the DCGM exporter by fixing GPU metrics filtering across Kubernetes namespaces, ensuring metrics are accurately filtered using the exported_namespace label. This Go-based solution prevents incorrect metrics from appearing in dashboards when exporters and metrics reside in different namespaces, improving the accuracy of monitoring data. Sherif also updated dashboard logic to reflect these changes, reducing user debugging time and supporting multi-tenant deployments. His work demonstrated depth in Go development, monitoring, and observability, directly improving product trustworthiness and operational clarity.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
8
Activity Months1
Work History
July 2025
1 Commits
Jul 1, 2025July 2025 performance summary for Seldon Core focusing on observability improvements and reliability. Delivered a critical bug fix for DCGM GPU metrics filtering across namespaces in the DCGM exporter. The fix ensures metrics are correctly filtered using the exported_namespace label, preventing incorrect metrics from appearing in dashboards when the exporter and metrics reside in different Kubernetes namespaces. The change was implemented in SeldonIO/seldon-core under commit a1f19ec7c86eea2392c82dfd94d4b38b4b2521cd and dashboards were updated to reflect the corrected filtering logic. This improves the accuracy of GPU metrics, reduces user debugging time, and strengthens multi-tenant deployment reliability. Overall, the work enhances product trustworthiness for users deploying GPU-accelerated workloads across multiple namespaces.
1 Commits
Jul 1, 2025July 2025 performance summary for Seldon Core focusing on observability improvements and reliability. Delivered a critical bug fix for DCGM GPU metrics filtering across namespaces in the DCGM exporter. The fix ensures metrics are correctly filtered using the exported_namespace label, preventing incorrect metrics from appearing in dashboards when the exporter and metrics reside in different Kubernetes namespaces. The change was implemented in SeldonIO/seldon-core under commit a1f19ec7c86eea2392c82dfd94d4b38b4b2521cd and dashboards were updated to reflect the corrected filtering logic. This improves the accuracy of GPU metrics, reduces user debugging time, and strengthens multi-tenant deployment reliability. Overall, the work enhances product trustworthiness for users deploying GPU-accelerated workloads across multiple namespaces.
July 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Go DevelopmentMonitoringObservability
Repositories Contributed To
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