skills/azure-monitor-opentelemetry-exporter-java/SKILL.md
Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights. Triggers: "AzureMonitorExporter java", "opentelemetry azure java", "application insights java otel", "azure monitor tracing java". Note: This package is DEPRECATED. Migrate to azure-monitor-opentelemetry-autoconfigure.
npx skillsauth add williamlimasilva/.copilot azure-monitor-opentelemetry-exporter-javaInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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⚠️ DEPRECATION NOTICE: This package is deprecated. Migrate to
azure-monitor-opentelemetry-autoconfigure.See Migration Guide for detailed instructions.
Export OpenTelemetry telemetry data to Azure Monitor / Application Insights.
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-monitor-opentelemetry-exporter</artifactId>
<version>1.0.0-beta.x</version>
</dependency>
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-monitor-opentelemetry-autoconfigure</artifactId>
<version>LATEST</version>
</dependency>
APPLICATIONINSIGHTS_CONNECTION_STRING=InstrumentationKey=xxx;IngestionEndpoint=https://xxx.in.applicationinsights.azure.com/
import io.opentelemetry.sdk.autoconfigure.AutoConfiguredOpenTelemetrySdk;
import io.opentelemetry.sdk.autoconfigure.AutoConfiguredOpenTelemetrySdkBuilder;
import io.opentelemetry.api.OpenTelemetry;
import com.azure.monitor.opentelemetry.exporter.AzureMonitorExporter;
// Connection string from APPLICATIONINSIGHTS_CONNECTION_STRING env var
AutoConfiguredOpenTelemetrySdkBuilder sdkBuilder = AutoConfiguredOpenTelemetrySdk.builder();
AzureMonitorExporter.customize(sdkBuilder);
OpenTelemetry openTelemetry = sdkBuilder.build().getOpenTelemetrySdk();
AutoConfiguredOpenTelemetrySdkBuilder sdkBuilder = AutoConfiguredOpenTelemetrySdk.builder();
AzureMonitorExporter.customize(sdkBuilder, "{connection-string}");
OpenTelemetry openTelemetry = sdkBuilder.build().getOpenTelemetrySdk();
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.context.Scope;
// Get tracer
Tracer tracer = openTelemetry.getTracer("com.example.myapp");
// Create span
Span span = tracer.spanBuilder("myOperation").startSpan();
try (Scope scope = span.makeCurrent()) {
// Your application logic
doWork();
} catch (Throwable t) {
span.recordException(t);
throw t;
} finally {
span.end();
}
import io.opentelemetry.api.common.AttributeKey;
import io.opentelemetry.api.common.Attributes;
Span span = tracer.spanBuilder("processOrder")
.setAttribute("order.id", "12345")
.setAttribute("customer.tier", "premium")
.startSpan();
try (Scope scope = span.makeCurrent()) {
// Add attributes during execution
span.setAttribute("items.count", 3);
span.setAttribute("total.amount", 99.99);
processOrder();
} finally {
span.end();
}
import io.opentelemetry.sdk.trace.SpanProcessor;
import io.opentelemetry.sdk.trace.ReadWriteSpan;
import io.opentelemetry.sdk.trace.ReadableSpan;
import io.opentelemetry.context.Context;
private static final AttributeKey<String> CUSTOM_ATTR = AttributeKey.stringKey("custom.attribute");
SpanProcessor customProcessor = new SpanProcessor() {
@Override
public void onStart(Context context, ReadWriteSpan span) {
// Add custom attribute to every span
span.setAttribute(CUSTOM_ATTR, "customValue");
}
@Override
public boolean isStartRequired() {
return true;
}
@Override
public void onEnd(ReadableSpan span) {
// Post-processing if needed
}
@Override
public boolean isEndRequired() {
return false;
}
};
// Register processor
AutoConfiguredOpenTelemetrySdkBuilder sdkBuilder = AutoConfiguredOpenTelemetrySdk.builder();
AzureMonitorExporter.customize(sdkBuilder);
sdkBuilder.addTracerProviderCustomizer(
(sdkTracerProviderBuilder, configProperties) ->
sdkTracerProviderBuilder.addSpanProcessor(customProcessor)
);
OpenTelemetry openTelemetry = sdkBuilder.build().getOpenTelemetrySdk();
public void parentOperation() {
Span parentSpan = tracer.spanBuilder("parentOperation").startSpan();
try (Scope scope = parentSpan.makeCurrent()) {
childOperation();
} finally {
parentSpan.end();
}
}
public void childOperation() {
// Automatically links to parent via Context
Span childSpan = tracer.spanBuilder("childOperation").startSpan();
try (Scope scope = childSpan.makeCurrent()) {
// Child work
} finally {
childSpan.end();
}
}
Span span = tracer.spanBuilder("riskyOperation").startSpan();
try (Scope scope = span.makeCurrent()) {
performRiskyWork();
} catch (Exception e) {
span.recordException(e);
span.setStatus(StatusCode.ERROR, e.getMessage());
throw e;
} finally {
span.end();
}
import io.opentelemetry.api.metrics.Meter;
import io.opentelemetry.api.metrics.LongCounter;
import io.opentelemetry.api.metrics.LongHistogram;
Meter meter = openTelemetry.getMeter("com.example.myapp");
// Counter
LongCounter requestCounter = meter.counterBuilder("http.requests")
.setDescription("Total HTTP requests")
.setUnit("requests")
.build();
requestCounter.add(1, Attributes.of(
AttributeKey.stringKey("http.method"), "GET",
AttributeKey.longKey("http.status_code"), 200L
));
// Histogram
LongHistogram latencyHistogram = meter.histogramBuilder("http.latency")
.setDescription("Request latency")
.setUnit("ms")
.ofLongs()
.build();
latencyHistogram.record(150, Attributes.of(
AttributeKey.stringKey("http.route"), "/api/users"
));
| Concept | Description | |---------|-------------| | Connection String | Application Insights connection string with instrumentation key | | Tracer | Creates spans for distributed tracing | | Span | Represents a unit of work with timing and attributes | | SpanProcessor | Intercepts span lifecycle for customization | | Exporter | Sends telemetry to Azure Monitor |
The azure-monitor-opentelemetry-autoconfigure package provides:
Replace dependency:
<!-- Remove -->
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-monitor-opentelemetry-exporter</artifactId>
</dependency>
<!-- Add -->
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-monitor-opentelemetry-autoconfigure</artifactId>
</dependency>
Update initialization code per Migration Guide
azure-monitor-opentelemetry-autoconfigure| Resource | URL | |----------|-----| | Maven Package | https://central.sonatype.com/artifact/com.azure/azure-monitor-opentelemetry-exporter | | GitHub | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/monitor/azure-monitor-opentelemetry-exporter | | Migration Guide | https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/monitor/azure-monitor-opentelemetry-exporter/MIGRATION.md | | Autoconfigure Package | https://central.sonatype.com/artifact/com.azure/azure-monitor-opentelemetry-autoconfigure | | OpenTelemetry Java | https://opentelemetry.io/docs/languages/java/ | | Application Insights | https://learn.microsoft.com/azure/azure-monitor/app/app-insights-overview |
development
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
development
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
devops
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devops
Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.