Can I customize how spans are processed before export?

Yes, the skill includes patterns for implementing a Custom Span Processor to intercept and modify span data during the lifecycle.

How do I connect my Java app to Application Insights?

You can connect by setting the APPLICATIONINSIGHTS_CONNECTION_STRING environment variable or by providing the connection string explicitly during the SDK initialization.

Does this skill help with manual instrumentation?

Yes, it includes code snippets for creating spans, adding custom attributes, recording exceptions, and managing nested spans manually.

Can I export metrics and logs as well as traces?

Yes, this skill provides implementation patterns for exporting OpenTelemetry traces, metrics, and logs specifically to Azure Monitor.

Is the exporter package used in this skill deprecated?

Yes, the original exporter package is deprecated. This skill provides the necessary steps to migrate to the recommended azure-monitor-opentelemetry-autoconfigure package.

Azure Monitor OpenTelemetry for Java

Name: Azure Monitor OpenTelemetry for Java
Author: sickn33

bysickn33

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31,722

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Analíticas y Monitorización

Exports OpenTelemetry traces, metrics, and logs from Java applications to Azure Monitor and Application Insights.

This skill equips Claude with the expertise to implement enterprise-grade observability in Java applications using Azure Monitor and OpenTelemetry. It provides standardized implementation patterns for distributed tracing, metrics collection, and structured logging, while specifically guiding developers through the migration from the legacy exporter to the modern autoconfigure package. It is essential for developers who need to instrument Azure-hosted Java services, manage span lifecycles, and ensure robust application performance monitoring within the Microsoft Azure ecosystem.

Características Principales

01Migration guidance for azure-monitor-opentelemetry-autoconfigure

0231,722 GitHub stars

03Custom span processor and attribute configuration

04Distributed tracing and span lifecycle management

05Azure Application Insights integration patterns

06Metrics collection including counters and histograms

Casos de Uso

01Implementing custom telemetry processing and error recording

02Instrumenting Java microservices for Azure observability

03Migrating legacy telemetry exporters to the latest Azure SDKs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills azure-monitor-opentelemetry-exporter-java

For use in Claude.ai and ChatGPT

Características Principales

01Migration guidance for azure-monitor-opentelemetry-autoconfigure

0231,722 GitHub stars

03Custom span processor and attribute configuration

04Distributed tracing and span lifecycle management

05Azure Application Insights integration patterns

06Metrics collection including counters and histograms

Casos de Uso

01Implementing custom telemetry processing and error recording

02Instrumenting Java microservices for Azure observability

03Migrating legacy telemetry exporters to the latest Azure SDKs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sickn33/antigravity-awesome-skills azure-monitor-opentelemetry-exporter-java

For use in Claude.ai and ChatGPT