用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/ranbot-ai/awesome-skills --skill azure-monitor-opentelemetry-ts命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
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| name | azure-monitor-opentelemetry-ts |
| description | Auto-instrument Node.js applications with distributed tracing, metrics, and logs. |
| category | AI & Agents |
| source | antigravity |
| tags | ["typescript","node","api","ai","workflow","azure","rag"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-monitor-opentelemetry-ts |
Auto-instrument Node.js applications with distributed tracing, metrics, and logs.
# Distro (recommended - auto-instrumentation)
npm install @azure/monitor-opentelemetry
# Low-level exporters (custom OpenTelemetry setup)
npm install @azure/monitor-opentelemetry-exporter
# Custom logs ingestion
npm install @azure/monitor-ingestion
APPLICATIONINSIGHTS_CONNECTION_STRING=InstrumentationKey=...;IngestionEndpoint=...
IMPORTANT: Call useAzureMonitor() BEFORE importing other modules.
import { useAzureMonitor } from "@azure/monitor-opentelemetry";
useAzureMonitor({
azureMonitorExporterOptions: {
connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING
}
});
// Now import your application
import express from "express";
const app = express();
node --import @azure/monitor-opentelemetry/loader ./dist/index.js
package.json:
{
"scripts": {
"start": "node --import @azure/monitor-opentelemetry/loader ./dist/index.js"
}
}
import { useAzureMonitor, AzureMonitorOpenTelemetryOptions } from "@azure/monitor-opentelemetry";
import { resourceFromAttributes } from "@opentelemetry/resources";
const options: AzureMonitorOpenTelemetryOptions = {
azureMonitorExporterOptions: {
connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING,
storageDirectory: "/path/to/offline/storage",
disableOfflineStorage: false
},
// Sampling
samplingRatio: 1.0, // 0-1, percentage of traces
// Features
enableLiveMetrics: true,
enableStandardMetrics: true,
enablePerformanceCounters: true,
// Instrumentation libraries
instrumentationOptions: {
azureSdk: { enabled: true },
http: { enabled: true },
mongoDb: { enabled: true },
mySql: { enabled: true },
postgreSql: { enabled: true },
redis: { enabled: true },
bunyan: { : },
: { : }
},
: ({ : })
};
(options);
import { trace } from "@opentelemetry/api";
const tracer = trace.getTracer("my-tracer");
const span = tracer.startSpan("doWork");
try {
span.setAttribute("component", "worker");
span.setAttribute("operation.id", "42");
span.addEvent("processing started");
// Your work here
} catch (error) {
span.recordException(error as Error);
span.setStatus({ code: 2, message: (error as Error).message });
} finally {
span.end();
}
import { metrics } from "@opentelemetry/api";
const meter = metrics.getMeter("my-meter");
// Counter
const counter = meter.createCounter("requests_total");
counter.add(1, { route: "/api/users", method: "GET" });
// Histogram
const histogram = meter.createHistogram("request_duration_ms");
histogram.record(150, { route: "/api/users" });
// Observable Gauge
const gauge = meter.createObservableGauge("active_connections");
gauge.addCallback((result) => {
result.observe(getActiveConnections(), { pool: "main" });
});
import { AzureMonitorTraceExporter } from "@azure/monitor-opentelemetry-exporter";
import { NodeTracerProvider, BatchSpanProcessor } from "@opentelemetry/sdk-trace-node";
const exporter = new AzureMonitorTraceExporter({
connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING
});
const provider = new NodeTracerProvider({
spanProcessors: [new BatchSpanProcessor(exporter)]
});
provider.register();
import { AzureMonitorMetricExporter } from "@azure/monitor-opentelemetry-exporter";
import { PeriodicExportingMetricReader, MeterProvider } from "@opentelemetry/sdk-metrics";
import { metrics } from "@opentelemetry/api";
const exporter = new AzureMonitorMetricExporter({
connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING
});
const meterProvider = new MeterProvider({
readers: [new PeriodicExportingMetricReader({ exporter })]
});
metrics.setGlobalMeterProvider(meterProvider);
import { AzureMonitorLogExporter } from "@azure/monitor-opentelemetry-exporter";
import { BatchLogRecordProcessor, LoggerProvider } from "@opentelemetry/sdk-logs";
import { logs } from "@opentelemetry/api-logs";
const exporter = new AzureMonitorLogExporter({
connectionString: process.env.APPLICATIONINSIGHTS_CONNECTION_STRING
});
const loggerProvider = new LoggerProvider();
loggerProvider.addLogRecordProcessor(new BatchLogRecordProcessor(exporter));
logs.setGlobalLoggerProvider(loggerProvider);
import { DefaultAzureCredential } from "@azure/identity";
import { LogsIngestionCli