microsoft/fabric-toolbox
Nov 2025 – Nov 2025
1 Month active
Languages Used
JSONKQLMarkdownPNGPowerShellPython
Technical Skills
AzureAzure IntegrationCloud ComputingData EngineeringData Pipeline DevelopmentDeployment
Edgar Cotte
PROFILE
Edgar Cotte
Developed and deployed the Fabric Platform Monitoring solution in the microsoft/fabric-toolbox repository, enabling real-time monitoring and reporting of platform health and capacity. Leveraged Python, Kusto Query Language, and PowerShell to implement deployment automation, refine data pipelines, and enhance data modeling for accurate capacity utilization dashboards. Addressed critical issues in KQL schema and deployment scripts, improving data correctness and reliability. Updated architecture and documentation to streamline environment configuration and deployment processes. Enhanced monitoring dashboards using Power BI and Jupyter Notebooks, providing actionable insights for proactive capacity planning. Focused on maintainability and operational reliability through comprehensive documentation and process improvements.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
2
Lines of code
20,893
Activity Months1
Your Network
49 peopleWork History
November 2025
14 Commits • 2 Features
Nov 1, 2025Month: 2025-11 | Repository: microsoft/fabric-toolbox Summary: - Delivered end-to-end Fabric Platform Monitoring (FPM) deployment, setup, and documentation, enabling real-time monitoring and reporting for capacity and platform health. - Implemented deployment tooling and process improvements; reorganized folders, updated architecture and setup, and refined notebooks and pipelines variables to ensure reliable runs. - Fixed critical issues in Capacity Events KQL schema and related deployment scripts, improving data correctness and deployment reliability. - Enhanced Capacity Monitoring with data modeling and UI dashboards to surface real-time capacity utilization more accurately across the platform. Key deliverables: - FPM: Initial push with RTI, notebooks, deployment tooling, and comprehensive docs; multiple fixes to README, architecture, folder structure, and setup to ensure correct environment targeting and reliable deployments. - Capacity Events KQLSchema Bug Fixes: Resolved issues in KQL DB/schema and deployment scripts to stabilize data ingestion. - Capacity Monitoring Enhancements: Updated capacity overview, refined Summary schema, and dashboards to present real-time capacity metrics. Impact: - Real-time visibility into platform health and capacity, enabling proactive capacity planning and faster issue detection. - Improved data quality and reliability of monitoring deployments, reducing operational risk and manual remediation. - Better maintainability through documentation refreshes and deployment/process refinements. Technologies/skills demonstrated: - Notebooks, RTI integration, deployment tooling, KQL/Kusto schemas, data modeling, UI dashboards, and thorough documentation.
14 Commits • 2 Features
Nov 1, 2025Month: 2025-11 | Repository: microsoft/fabric-toolbox Summary: - Delivered end-to-end Fabric Platform Monitoring (FPM) deployment, setup, and documentation, enabling real-time monitoring and reporting for capacity and platform health. - Implemented deployment tooling and process improvements; reorganized folders, updated architecture and setup, and refined notebooks and pipelines variables to ensure reliable runs. - Fixed critical issues in Capacity Events KQL schema and related deployment scripts, improving data correctness and deployment reliability. - Enhanced Capacity Monitoring with data modeling and UI dashboards to surface real-time capacity utilization more accurately across the platform. Key deliverables: - FPM: Initial push with RTI, notebooks, deployment tooling, and comprehensive docs; multiple fixes to README, architecture, folder structure, and setup to ensure correct environment targeting and reliable deployments. - Capacity Events KQLSchema Bug Fixes: Resolved issues in KQL DB/schema and deployment scripts to stabilize data ingestion. - Capacity Monitoring Enhancements: Updated capacity overview, refined Summary schema, and dashboards to present real-time capacity metrics. Impact: - Real-time visibility into platform health and capacity, enabling proactive capacity planning and faster issue detection. - Improved data quality and reliability of monitoring deployments, reducing operational risk and manual remediation. - Better maintainability through documentation refreshes and deployment/process refinements. Technologies/skills demonstrated: - Notebooks, RTI integration, deployment tooling, KQL/Kusto schemas, data modeling, UI dashboards, and thorough documentation.
November 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability88.6%
Architecture90.0%
Performance88.6%
AI Usage25.6%
Skills & Technologies
Programming Languages
JSONKQLMarkdownPNGPowerShellPython
Technical Skills
AzureAzure IntegrationCloud ComputingData EngineeringData Pipeline DevelopmentDeploymentDeployment AutomationDevOpsJupyter NotebookJupyter NotebooksKusto Query LanguagePower BIPowerShellPythonarchitecture design
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline