azure-energy-data-services

Guide Azure Energy Data Services development, troubleshooting, architecture, and deployment.

1|Updated Oct 1, 2025
One-click install
npx skills add https://github.com/diberry/microsoft-mcp-doc-generation --skill azure-energy-data-services-diberry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: azure-energy-data-services
Source: https://github.com/diberry/microsoft-mcp-doc-generation/tree/main/docs-generation/skills-source/azure-energy-data-services
Command: npx skills add https://github.com/diberry/microsoft-mcp-doc-generation --skill azure-energy-data-services-diberry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance for developing, deploying, and managing applications on Azure Energy Data Services (ADME), addressing challenges in troubleshooting, decision-making, architecture, security, configuration, integration, and deployment.

Core Features & Use Cases

  • Troubleshooting: Diagnose and resolve manifest ingestion issues using Airflow logs.
  • Decision Making: Choose appropriate ADME deployment tiers and understand available OSDU services.
  • Architecture & Security: Design resilient deployments, manage access control, encryption, and identity.
  • Integration & Deployment: Integrate with external data sources, deploy geospatial zones, and manage OSDU Admin UI.

Quick Start

Use the azure-energy-data-services skill to troubleshoot manifest ingestion failures by analyzing Airflow logs.

Frequently Asked Questions about azure-energy-data-services

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I troubleshoot manifest ingestion failures in Azure Energy Data Services?

Troubleshoot manifest ingestion failures in Azure Energy Data Services by analyzing Airflow logs to diagnose and resolve data pipeline issues. This approach identifies ingestion errors and guides corrective configuration or data adjustments.

What is the best way to choose the right deployment tier for OSDU on Azure?

Choosing the right OSDU deployment tier on Azure requires evaluating available OSDU services and workload requirements. Compare tier features to match your performance, scale, and cost constraints for optimal deployment.

How do I design a resilient architecture for Azure Energy Data Services?

Design a resilient Azure Energy Data Services architecture by configuring access control, encryption, and identity management. Secure data partitions and external integrations to ensure high availability and fault tolerance.

Can I integrate external data sources with Azure Energy Data Services?

You can integrate external data sources with Azure Energy Data Services to extend data workflows. Configure data partitioning and external connections to ingest and manage external data within your OSDU environment.

How do I deploy geospatial zones and manage the OSDU Admin UI?

Deploy geospatial zones and manage the OSDU Admin UI in Azure Energy Data Services by following specific deployment configurations. Set up administrative interfaces to control geospatial data and monitor deployments.

What are the limitations when configuring data partitions in Azure Energy Data Services?

Data partitioning limitations in Azure Energy Data Services depend on your deployment tier and access control settings. Understand partition constraints to prevent ingestion bottlenecks and manage geospatial zone deployments effectively.