Che cos'è azure-monitor-ingestion-java?
nome: azure-monitor-ingestion-java Fonte: sickn33/antigravity-awesome-skills.
nome: azure-monitor-ingestion-java
Installa rapidamente la skill AI azure-monitor-ingestion-java nel tuo ambiente di sviluppo tramite riga di comando
Fonte: 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 |
nome: azure-monitor-ingestion-java Fonte: sickn33/antigravity-awesome-skills.
Campi e comandi stabili per citazioni AI/ricerca.
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-monitor-ingestion-javanome: azure-monitor-ingestion-java Fonte: sickn33/antigravity-awesome-skills.
Apri il tuo terminale o strumento da riga di comando (Terminal, iTerm, Windows Terminal, ecc.) Copia ed esegui questo comando: npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-monitor-ingestion-java Dopo l'installazione, la skill verrà configurata automaticamente nel tuo ambiente AI di coding e sarà pronta all'uso in Claude Code, Cursor o OpenClaw
https://github.com/sickn33/antigravity-awesome-skills