Azure Monitor Ingestion Java

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by sickn33 · vlatest · Repository

Helps with Azure, monitoring, Java as part of deploying and managing cloud infrastructure workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add azure-monitor-ingestion-java npx -- -y @trustedskills/azure-monitor-ingestion-java
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "azure-monitor-ingestion-java": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/azure-monitor-ingestion-java"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables Java applications to send data to Azure Monitor for ingestion. It provides the necessary libraries and configuration to collect metrics, logs, and traces from your Java code and forward them to Azure's monitoring services. This allows you to gain insights into application performance and identify potential issues.

When to use it

  • Application Performance Monitoring: Track response times, error rates, and resource consumption of a Java application running in production.
  • Log Aggregation: Centralize logs from multiple Java applications for easier troubleshooting and analysis.
  • Distributed Tracing: Gain visibility into requests as they flow through different components of a microservices architecture built with Java.
  • Custom Metrics: Report custom business metrics to Azure Monitor alongside standard application telemetry.

Key capabilities

  • Java SDK integration
  • Metrics collection
  • Log ingestion
  • Trace reporting
  • Configuration options for data transmission

Example prompts

  • "Send the number of processed orders as a metric to Azure Monitor."
  • "Configure the Java application to log all exceptions with severity level 'Error' to Azure Monitor."
  • “Start tracing requests across our microservices and send the trace data to Azure Monitor.”

Tips & gotchas

  • Requires an active Azure subscription and proper authentication credentials configured within your Java application.
  • Ensure you have the necessary permissions in Azure to write data to the target Log Analytics workspace.

Tags

🛡️

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Details

Version
vlatest
License
Author
sickn33
Installs
16

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Passed automated security scans.