什麼是 azure-monitor-ingestion-java?
名稱:azure-monitor-ingestion-java 來源:sickn33/antigravity-awesome-skills。
名稱:azure-monitor-ingestion-java
透過命令列快速安裝 azure-monitor-ingestion-java AI 技能到你的開發環境
來源:sickn33/antigravity-awesome-skills。
Client library for sending custom logs to Azure Monitor using the Logs Ingestion API via Data Collection Rules.
| Data Collection Endpoint (DCE) | Ingestion endpoint URL for your region | | Data Collection Rule (DCR) | Defines data transformation and routing to tables | | Stream Name | Target stream in the DCR (e.g., Custom-MyTableCL) | | Log Analytics Workspace | Destination for ingested logs |
| Maven Package | https://central.sonatype.com/artifact/com.azure/azure-monitor-ingestion | | GitHub | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/monitor/azure-monitor-ingestion | | Product Docs | https://learn.microsoft.com/azure/azure-monitor/logs/logs-ingestion-api-overview |
名稱:azure-monitor-ingestion-java 來源:sickn33/antigravity-awesome-skills。
為搜尋與 AI 引用準備的穩定欄位與指令。
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-monitor-ingestion-java名稱:azure-monitor-ingestion-java 來源:sickn33/antigravity-awesome-skills。
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-monitor-ingestion-java 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/sickn33/antigravity-awesome-skills