azure-energy-data-services

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Azure Energy Data Services Skill

Azure Energy Data Services 技能

This skill provides expert guidance for Azure Energy Data Services. Covers troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
本技能为Azure Energy Data Services提供专业指导,涵盖故障排查、决策制定、架构与设计模式、安全、配置、集成与编码模式以及部署。它结合了本地快速参考内容与远程文档获取能力。

How to Use This Skill

如何使用本技能

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120
), use
read_file
with the specified lines. For categories with file links (e.g.,
[security.md](security.md)
), use
read_file
on the linked reference file
IMPORTANT for Agent: If
metadata.generated_at
is more than 3 months old, suggest the user pull the latest version from the repository. If
mcp_microsoftdocs
tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
  • Preferred: Use
    mcp_microsoftdocs:microsoft_docs_fetch
    with query string
    from=learn-agent-skill
    . Returns Markdown.
  • Fallback: Use
    fetch_webpage
    with query string
    from=learn-agent-skill&accept=text/markdown
    . Returns Markdown.
对Agent的重要提示:使用下方的分类索引定位相关章节。对于带有行范围的分类(例如
L35-L120
),使用
read_file
读取指定行内容。对于带有文件链接的分类(例如
[security.md](security.md)
),使用
read_file
读取链接的参考文件。
对Agent的重要提示:如果
metadata.generated_at
已超过3个月,建议用户从仓库拉取最新版本。如果
mcp_microsoftdocs
工具不可用,建议用户安装该工具:安装指南
本技能需要网络访问权限以获取文档内容:
  • 首选方式:使用
    mcp_microsoftdocs:microsoft_docs_fetch
    ,并携带查询字符串
    from=learn-agent-skill
    ,返回Markdown格式内容。
  • 备用方式:使用
    fetch_webpage
    ,并携带查询字符串
    from=learn-agent-skill&accept=text/markdown
    ,返回Markdown格式内容。

Category Index

分类索引

CategoryLinesDescription
TroubleshootingL35-L39Diagnosing and fixing manifest ingestion failures in Azure Data Manager for Energy using Airflow logs, including log analysis steps and common error patterns.
Decision MakingL40-L45Guidance on choosing ADME deployment tiers (Developer vs Standard) and checking which OSDU data/compute services and capabilities are available in each tier.
Architecture & Design PatternsL46-L50Guidance on architecting resilient ADME deployments in Azure Energy Data Services, including zone redundancy, disaster recovery strategies, and high-availability design patterns.
SecurityL51-L64Security and access control in ADME: auth tokens, ACLs, encryption, legal tags, user/group entitlements, API protection, private endpoints, managed identities, and support access control.
ConfigurationL65-L72Configuring Azure Data Manager for Energy: data partitioning, CORS rules, enabling Reservoir DDMS, and setting up/using audit logging for governance and access tracking.
Integrations & Coding PatternsL73-L90Patterns and APIs for integrating ADME/OSDU with external data sources, DDMS domain services, large file upload, and exporting logs/metrics to Azure Monitor and other tools
DeploymentL91-L95Guides for deploying Azure Energy Data Services components, including Geospatial Consumption Zone on AKS and the OSDU Admin UI for Azure Data Manager for Energy administration
分类行范围描述
故障排查L35-L39使用Airflow日志诊断和修复Azure Data Manager for Energy(ADME)中的清单导入失败问题,包括日志分析步骤和常见错误模式。
决策制定L40-L45指导如何选择ADME部署层级(开发者版 vs 标准版),以及检查每个层级中可用的OSDU数据/计算服务和功能。
架构与设计模式L46-L50指导如何在Azure Energy Data Services中构建高韧性的ADME部署,包括区域冗余、灾难恢复策略和高可用性设计模式。
安全L51-L64ADME中的安全与访问控制:身份验证令牌、ACL、加密、法律标签、用户/组权限、API保护、专用终结点、托管标识以及支持访问控制。
配置L65-L72配置Azure Data Manager for Energy:数据分区、CORS规则、启用Reservoir DDMS,以及设置和使用审计日志以实现治理和访问跟踪。
集成与编码模式L73-L90将ADME/OSDU与外部数据源、DDMS域服务集成的模式和API,大文件上传,以及将日志/指标导出到Azure Monitor等工具。
部署L91-L95部署Azure Energy Data Services组件的指南,包括AKS上的地理空间消费区(Geospatial Consumption Zone)和用于ADME管理的OSDU Admin UI。

Troubleshooting

故障排查

TopicURL
Troubleshoot manifest ingestion in Azure Data Manager for Energy using Airflow logshttps://learn.microsoft.com/en-us/azure/energy-data-services/troubleshoot-manifest-ingestion
主题链接
使用Airflow日志排查Azure Data Manager for Energy中的清单导入问题https://learn.microsoft.com/en-us/azure/energy-data-services/troubleshoot-manifest-ingestion

Decision Making

决策制定

Architecture & Design Patterns

架构与设计模式

主题链接
使用区域和灾难恢复设计高韧性的ADME部署https://learn.microsoft.com/en-us/azure/energy-data-services/reliability-energy-data-services

Security

安全

Configuration

配置

Integrations & Coding Patterns

集成与编码模式

TopicURL
Enable External Data Services and Key Vault accesshttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-external-data-services
Integrate Airflow task logs from ADME with Azure Monitorhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-airflow-logs-with-azure-monitor
Send ADME Elasticsearch logs to Azure Monitorhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-elastic-logs-with-azure-monitor
Export OSDU service logs from ADME to Azure Monitorhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-osdu-service-logs-with-azure-monitor
Register external data sources with ADME EDShttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-register-external-data-services
Upload large files via Azure Data Manager for Energy File service APIhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-upload-large-files-using-file-service
Work with Petrel data via Petrel DDMS APIshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-petrel-ddms
Read reservoir data using Reservoir DDMS REST APIshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-apis
Use Reservoir DDMS websocket endpoints for datahttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-websocket
Call RAFS DDMS APIs for rock and fluid sampleshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-rock-and-fluid-samples-ddms
Call Seismic DDMS APIs with cURLhttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms
Use sdutil CLI to interact with Seismic Storehttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms-sdutil
Manage well records with Well Delivery DDMS APIshttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-well-delivery-ddms
Use Wellbore DDMS APIs for well datahttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-wellbore-ddms
主题链接
启用外部数据服务和Key Vault访问权限https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-enable-external-data-services
将ADME中的Airflow任务日志与Azure Monitor集成https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-airflow-logs-with-azure-monitor
将ADME Elasticsearch日志发送到Azure Monitorhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-elastic-logs-with-azure-monitor
将ADME中的OSDU服务日志导出到Azure Monitorhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-integrate-osdu-service-logs-with-azure-monitor
向ADME EDS注册外部数据源https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-register-external-data-services
通过Azure Data Manager for Energy File service API上传大文件https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-upload-large-files-using-file-service
通过Petrel DDMS API处理Petrel数据https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-petrel-ddms
使用Reservoir DDMS REST API读取油藏数据https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-apis
使用Reservoir DDMS WebSocket端点获取数据https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-reservoir-ddms-websocket
调用RAFS DDMS API处理岩石和流体样本https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-rock-and-fluid-samples-ddms
使用cURL调用Seismic DDMS APIhttps://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms
使用sdutil CLI与Seismic Store交互https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-seismic-ddms-sdutil
使用Well Delivery DDMS API管理井记录https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-well-delivery-ddms
使用Wellbore DDMS API处理井数据https://learn.microsoft.com/en-us/azure/energy-data-services/tutorial-wellbore-ddms

Deployment

部署

TopicURL
Deploy Geospatial Consumption Zone on AKS with Azure Data Manager for Energyhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-deploy-gcz
Deploy OSDU Admin UI for ADME administrationhttps://learn.microsoft.com/en-us/azure/energy-data-services/how-to-deploy-osdu-admin-ui
主题链接
在AKS上部署Azure Data Manager for Energy的地理空间消费区https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-deploy-gcz
用于ADME管理的OSDU Admin UI部署https://learn.microsoft.com/en-us/azure/energy-data-services/how-to-deploy-osdu-admin-ui