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Azure Monitor Opentelemetry Exporter Py

Listed
sickn33·vlatest·cloud·MIT

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

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill azure-monitor-opentelemetry-exporter-py -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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Commit
5a4cdd9df8
Manifest
skills/azure-monitor-opentelemetry-exporter-py/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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About this skill

What it does

This skill enables Python applications to export OpenTelemetry traces, metrics, and logs directly to Azure Monitor. It provides a convenient way to instrument your code with OpenTelemetry and leverage Azure's observability platform for monitoring and troubleshooting. The exporter supports various configurations including resource attributes and custom spans.

When to use it

  • Monitoring Python microservices: Instrument a collection of small Python services deployed in containers and send telemetry data to Azure Monitor for centralized visibility.
  • Debugging performance bottlenecks: Use OpenTelemetry's tracing capabilities, exported to Azure Monitor, to identify slow database queries or inefficient code paths within your application.
  • Collecting custom metrics: Define and export application-specific metrics (e.g., queue sizes, cache hit rates) to Azure Monitor for business intelligence and operational dashboards.
  • Standardizing telemetry collection: Ensure consistent data format and reporting across multiple Python applications by using the OpenTelemetry standard and exporting to a common destination like Azure Monitor.

Key capabilities

  • Exports OpenTelemetry traces, metrics, and logs.
  • Supports resource attributes for context in Azure Monitor.
  • Allows custom span creation for detailed tracing.
  • Integrates with Azure Monitor's observability platform.

Example prompts

  • "Configure the exporter to include my application name as a resource attribute."
  • "Export OpenTelemetry metrics to Azure Monitor every 5 seconds."
  • “Create a new span named 'database_query' and tag it with the query parameters.”

Tips & gotchas

  • Requires an Azure subscription and appropriate permissions to send data to Azure Monitor.
  • Ensure your application is properly instrumented with OpenTelemetry before using this exporter.