Export Java Telemetry to Azure Monitor
Deprecated Java exporter skill for sending OpenTelemetry spans and metrics to Azure Monitor - migrate to autoconfigure.
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Why it matters
Integrate your Java applications with Azure Monitor for comprehensive telemetry export. This asset helps you send OpenTelemetry data, including traces and metrics, to Application Insights for enhanced monitoring and debugging.
Outcomes
What it gets done
Configure OpenTelemetry export to Azure Monitor using environment variables or explicit connection strings.
Instrument Java code to create and manage spans, including adding attributes and recording exceptions.
Implement custom span processors for advanced telemetry manipulation.
Utilize OpenTelemetry metrics for application performance monitoring.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-azure-monitor-opentelemetry-exporter-java | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Azure Monitor OpenTelemetry Exporter for Java
A Java skill for the deprecated azure-monitor-opentelemetry-exporter package, covering span creation, attributes, exception recording, custom span processors, and counter/histogram metrics exported to Azure Monitor. Includes migration guidance to the current azure-monitor-opentelemetry-autoconfigure package. Use it only to understand or migrate an existing integration - this package is deprecated, and new work should start directly with azure-monitor-opentelemetry-autoconfigure.
What it does
This skill covers com.azure:azure-monitor-opentelemetry-exporter for Java, which exports OpenTelemetry telemetry (spans and metrics) to Azure Monitor / Application Insights. The package is deprecated in favor of azure-monitor-opentelemetry-autoconfigure, and the recommended setup wires the autoconfigure package into an AutoConfiguredOpenTelemetrySdkBuilder via AzureMonitorExporter.customize(sdkBuilder), reading the connection string from APPLICATIONINSIGHTS_CONNECTION_STRING or passing it explicitly. From there the skill covers standard OpenTelemetry usage: creating spans with a Tracer, setting attributes during a span's lifetime, nesting child spans that link to a parent via Context, recording exceptions with span.recordException() and setStatus(StatusCode.ERROR, ...), writing a custom SpanProcessor (implementing onStart/onEnd and isStartRequired/isEndRequired) to add attributes to every span and registering it via addTracerProviderCustomizer, and creating counter and histogram metrics with a Meter. Nested spans link automatically to their parent through the ambient Context when a child span is started while the parent's Scope is current, which is how a parentOperation/childOperation call chain produces a connected trace rather than two unrelated spans.
When to use - and when NOT to
Do not start new work on azure-monitor-opentelemetry-exporter - it is explicitly deprecated. Use this skill only to understand or migrate an existing integration; new Application Insights instrumentation in Java should go directly through azure-monitor-opentelemetry-autoconfigure, which adds automatic instrumentation of common libraries and simplified configuration on top of the same OpenTelemetry SDK concepts documented here.
Inputs and outputs
Configuration is the APPLICATIONINSIGHTS_CONNECTION_STRING environment variable (an InstrumentationKey plus IngestionEndpoint). A span with attributes and exception handling looks like this:
Span span = tracer.spanBuilder("processOrder")
.setAttribute("order.id", "12345")
.setAttribute("customer.tier", "premium")
.startSpan();
try (Scope scope = span.makeCurrent()) {
span.setAttribute("items.count", 3);
span.setAttribute("total.amount", 99.99);
processOrder();
} finally {
span.end();
}
A LongCounter (built via meter.counterBuilder(...)) records event counts with attributes like http.method and http.status_code, and a LongHistogram (via meter.histogramBuilder(...).ofLongs()) records distributions like request latency in milliseconds - both flow through the same exporter to Azure Monitor once telemetry is generated.
Integrations
Builds on the OpenTelemetry Java SDK (Tracer, Span, SpanProcessor, Meter) and exports to Azure Monitor / Application Insights; distributed via Maven Central as com.azure:azure-monitor-opentelemetry-exporter, with migration guidance pointing to the azure-monitor-opentelemetry-autoconfigure replacement package and its own Maven Central artifact.
Who it's for
Java developers maintaining or migrating an existing Application Insights integration built on this exporter - not a starting point for new instrumentation, which should target azure-monitor-opentelemetry-autoconfigure instead - and who follow OpenTelemetry conventions: meaningful span names, contextual attributes, exceptions always recorded, spans always ended in a finally block, and Scope managed via try-with-resources.
FAQ
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