Azure/Azure-Sentinel
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
API IntegrationAzure FunctionsCloud IntegrationCloud StorageData ConnectorData Engineering
shashank-shah1719
PROFILE
Shashank-shah1719
Shashank Shah enhanced the Armis Azure Sentinel Connector in the Azure/Azure-Sentinel repository by refactoring its data ingestion pipeline for greater reliability and maintainability. He migrated checkpoint storage to Azure Table Storage, which improved startup consistency and ingestion stability. Using Python and Azure Functions, Shashank streamlined timeout logic and strengthened error and exception handling, reducing failed ingestions and operational downtime. He also improved code quality by updating Flake8 and SonarQube configurations and refreshed packaging for easier code reviews. His work focused on robust API integration and system integration, resulting in a more stable and observable connector for cloud-based security monitoring.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
1,013
Activity Months1
Your Network
216 people
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for Azure/Azure-Sentinel: Hardened and expanded the Armis Azure Sentinel Connector with robust checkpointing, timeout handling, and improved error management to ensure reliable data ingestion and faster recovery. Implemented checkpoint storage in Azure Table Storage, simplified timeout logic, and strengthened initialization, resulting in a more stable ingestion pipeline and improved observability.
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for Azure/Azure-Sentinel: Hardened and expanded the Armis Azure Sentinel Connector with robust checkpointing, timeout handling, and improved error management to ensure reliable data ingestion and faster recovery. Implemented checkpoint storage in Azure Table Storage, simplified timeout logic, and strengthened initialization, resulting in a more stable ingestion pipeline and improved observability.
November 2024
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture76.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationAzure FunctionsCloud IntegrationCloud StorageData ConnectorData EngineeringError HandlingException HandlingLoggingSystem Integration
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