azure-monitor-ingestion-java Skill
Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). Triggers: "LogsIngestionClient java", "azure monitor ingestion java", "custom logs java", "DCR java", "data collection rule java". Published by microsoft in skills.
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Data analysis, Includes SKILL.md, Reusable instructions
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2 months ago · MIT license
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What is azure-monitor-ingestion-java Skill?
Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). Triggers: "LogsIngestionClient java", "azure monitor ingestion java", "custom logs java", "DCR java", "data collection rule java". Published by microsoft in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Declared author: Microsoft
- Declared license: MIT
- Source file: .github/plugins/azure-sdk-java/skills/azure-monitor-ingestion-java/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use azure-monitor-ingestion-java Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills
- Skill file: .github/plugins/azure-sdk-java/skills/azure-monitor-ingestion-java/SKILL.md
What it does
Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). Triggers: "LogsIngestionClient java", "azure monitor ingestion java", "custom logs java", "DCR java", "data collection rule java".
Skill instructions
Azure Monitor Ingestion SDK for Java Client library for sending custom logs to Azure Monitor using the Logs Ingestion API via Data Collection Rules. Installation xml <dependency <groupIdcom.azure</groupId <artifactIdazure-monitor-ingestion</artifactId <version1.2.11</version </dependency Or use Azure SDK BOM: xml <dependencyManagement <dependencies <dependency <groupIdcom.azure</groupId <artifactIdazure-sdk-bom</artifactId <version{bomversion}</version <typepom</type <scopeimport</scope </dependency </dependencies </dependencyManagement <dependencies <dependency <groupIdcom.azure</groupId <artifactIdazure-monitor-ingestion</artifactId </dependency </dependencies Prerequisites - Data Collection Endpoint (DCE) - Data Collection Rule (DCR) - Log Analytics workspace - Target table (custom or built-in: CommonSecurityLog, SecurityEvents, Syslog, WindowsEvents) Environment Variables bash DATACOLLECTIONENDPOINT=https://<dce-name.<region.ingest.monitor.azure.com Required for all auth methods DA
Verified compatibility and discovery
Frequently asked questions
What is azure-monitor-ingestion-java?
azure-monitor-ingestion-java is a open-source AI agent skill with Copy skill directory. Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE).
Who is azure-monitor-ingestion-java best for?
azure-monitor-ingestion-java is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install azure-monitor-ingestion-java?
Install or run azure-monitor-ingestion-java using Copy skill directory. Check azure-monitor-ingestion-java for the latest setup command.
Is azure-monitor-ingestion-java actively maintained?
azure-monitor-ingestion-java may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
