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Observability Instrumentation Harness

Stop discovering missing telemetry during outages — audit every service for instrumentation gaps, build a consistent tracing and metrics plan, draft the code changes, and generate Datadog dashboard and alert stubs. Requires Datadog and GitHub connected.

A 4-step agentic workflow pack for operations built to run with Claude, ChatGPT, Claude Code, and Cursor. It drives an AI agent connected to Datadog and GitHub (for example via MCP), and still works without them — paste the relevant data in when the prompt asks. Most buyers get a reviewable result in about 15 minutes.

  • Audit every code path in scope for missing traces, logs, and metrics in a single pass
  • Produce a consistent instrumentation plan covering what to trace, log, and measure per service
  • Draft ready-to-review code changes that add spans, structured logs, and counters without disrupting existing logic
  • Generate Datadog dashboard JSON and alert rule stubs so coverage is visible from day one
  • Validate existing Datadog coverage against your plan so gaps are confirmed, not guessed
  • Open GitHub PRs or issues for each instrumentation change so nothing falls through the backlog
  • Degrade gracefully when tools are unavailable — paste source snippets and get the same output
ClaudeClaudeCChatGPTClaude CodeClaude CodeCursorCursor
Requires connected tools. This pack is built to run inside an AI agent with DatadogDatadog, GitHubGitHub connected (for example via MCP) — each name links to its official connection guide. No connected tools? It still works — paste the relevant data in when the prompt asks.
promptscart.com / prompt-packs / observability-instrumentation-harness-agent-pack
Run in
Claude · ChatGPT +2
Your AI model
Step 1
Telemetry Coverage Audit
Point the agent at your repo and specify which services to audit — it reads the source, checks for trace spans, structured log calls, and metric increments, and builds a gap table.
Step 2
Instrumentation Plan
Feed the gap inventory into this prompt — the agent generates a service-by-service plan specifying span names, log fields, metric names, and cardinality guidance.
Step 3 · optional
Instrumentation Code Drafter
Provide the instrumentation plan and the relevant source snippets — the agent drafts the edited code blocks with spans, log statements, and metric calls inserted at the correct locations.
Step 4 · optional
Dashboard & Alert Stub Generator
Feed the instrumentation plan into this prompt — the agent generates a Datadog dashboard JSON stub with timeseries and log widgets for every signal in scope.
Output
Your deliverable
Copy-paste ready
Connected tools · via MCP
DatadogDatadogGitHubGitHub
One-time
$10
~3 hrs / week
time back

Prompt Customization Serviceoptional help adapting variables and output to your brand voice. Choose your tier at checkout (not tied to this prompt's price).

Instant download after payment
Refund as per the Refund Policy.
Email Support · 24h SLA
Lifetime updates

Models supported
Claude ClaudeC ChatGPTClaude Code Claude CodeCursor Cursor
Requires connected tools

Tap a tool for its official setup guide. Connect them to your AI agent (for example via MCP), or paste the data in manually.

Best valueSave $786
Get this pack + 101 more in the Lifetime Bundle

This pack is $10 on its own. Buying every pack separately costs $935. The Lifetime Bundle is $149 one-time — you save $786 (84% off) and unlock every future pack free.

Get the Lifetime Bundle — $149
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Download Observability Instrumentation Harness

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What ships with your purchase

Prompt files

Plain Markdown files with `{{variables}}` you fill in, ready to paste into ChatGPT, Claude, or Gemini. No setup, no tooling required.

Usage guide

Variable reference, model compatibility, examples, and customization tips so you can adapt the pack to your brand voice.

Lifetime updates

When we improve the pack, you get the new version automatically. Email support included with every purchase.

Models tested: Claude, ChatGPT, Claude Code, Cursor. Connected tools this pack drives: Datadog, GitHub.

The workflow inside this pack

4 composable prompts you run in order — each one picks up where the last left off.

  1. Step 1

    Telemetry Coverage Audit

    Point the agent at your repo and specify which services to audit — it reads the source, checks for trace spans, structured log calls, and metric increments, and builds a gap table.

  2. Step 2

    Instrumentation Plan

    Feed the gap inventory into this prompt — the agent generates a service-by-service plan specifying span names, log fields, metric names, and cardinality guidance.

  3. Step 3 · optional

    Instrumentation Code Drafter

    Provide the instrumentation plan and the relevant source snippets — the agent drafts the edited code blocks with spans, log statements, and metric calls inserted at the correct locations.

  4. Step 4 · optional

    Dashboard & Alert Stub Generator

    Feed the instrumentation plan into this prompt — the agent generates a Datadog dashboard JSON stub with timeseries and log widgets for every signal in scope.

Perpetual (lifetime) use license

Your one-time purchase includes an ongoing right to use this prompt pack with the AI tools and models you control for your own and your clients' work — not for resale or public redistribution of the files as a product.

We keep the copyright

The prompt files, guides, examples, and bundled assets stay our copyrighted works (or our licensors'). Payment grants the limited license in our Terms only — it does not transfer ownership.

Need help adapting this prompt to your team? Add Prompt Customization Service at checkout.

FAQ

How long does it take to use Observability Instrumentation Harness?
Most buyers finish in a few minutes: open the prompt file, fill the variables, and paste into your model. The first run is the slowest because you decide variable values; reuse is instant.
Do I need Datadog and GitHub connected to use Observability Instrumentation Harness?
This pack is built to run inside an AI agent with Datadog, GitHub connected (for example via MCP), which automates the workflow end to end. No connected tools? It still works — paste the relevant data in when the prompt asks.
What if I get stuck?
Email support@promptscart.com. Free basic support is included with every purchase, and you'll get a reply from our team within 24 hours. If you need help adapting variables or output, we can schedule a call.
Do I need a paid plan with Claude?
The prompt works on free tiers of ChatGPT, Claude, and Gemini. Heavy use can hit free-tier limits; paid plans get longer context and faster responses, but the prompt itself is the value.
Can I customize the prompt?
Yes, completely. You own the prompt files: edit the role framing, add variables, swap output sections, fork it to match your brand voice. Support can help you plan customizations over email.
What if it doesn't work for me?
Refund as per our Refund Policy (https://promptscart.com/refund-policy). Or add Prompt Customization Service at checkout for help adapting variables and output to your workflow.