• CRITICAL
  • STABLE
  • ACTION
  • HUMAN

How to audit SLOs and error budgets with your AI

Connect Datadog to your AI client once. From then on, your agent can pull telemetry and check service reliability on demand.

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Short answer

How can I audit SLOs and error budgets with my AI?

Your AI uses Datadog to pull current metrics and compare them against your defined service level objectives. It identifies which services are burning through their error budgets and flags compliance risks. You get a direct view of service health without manual dashboard navigation.

Reliability outcomes.

Where your data lands.

The AI categorizes Datadog telemetry into specific reliability states.

CRITICAL

Budget exhaustion alerts

The AI flags services where error budgets are nearly spent. You get immediate notice of services at risk of violating SLOs.

STABLE

Healthy service reports

Your agent confirms which services are operating within limits. This validates uptime and reliability targets quickly.

ACTION

Compliance gaps found

The AI identifies services failing to meet specific reliability standards. It highlights where metrics deviate from your goals.

HUMAN

Manual triage needed

The AI flags complex anomalies that require an engineer to investigate. It provides the data, but you decide the response.

The workflow

What your AI does when the data arrives.

Your agent moves from raw metric retrieval to actionable reliability insights.

  1. Fetch SLO definitions

    The AI pulls your current service level objectives to establish a baseline for healthy performance.

    list_slos

  2. Analyze performance trends

    Your agent pulls specific metric data to see how recent service behavior compares to your targets.

    query_metrics

  3. Calculate budget burn

    The AI compares the retrieved metrics against the SLOs to determine remaining error budget.

    query_metricslist_slos

  4. Summarize status

    Your agent compiles findings into a report on service health and compliance.

    list_slos

Try it

Copy these to start.

Use these prompts to begin your audit.

Starting points

These are opening lines. Swap in your specific service names or metric identifiers to get precise results.

Datadog Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Datadog capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "datadog-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/mcp"
    }
  }
}
Copy into chat04

  • List all my current SLOs in Datadog and tell me which ones are at risk.

  • Check the error budget for the 'payment-gateway' service over the last 24 hours.

  • Are any of my services currently violating their reliability targets?

  • Compare the error budget burn rate for 'auth-service' against its SLO.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Datadog once, then ask.

One connection gives your AI access to your Datadog metrics. Your credentials stay encrypted on our side.

Connect Datadog to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my SLO settings in Datadog?

    No. The AI can only read SLO definitions and metrics. It cannot modify your Datadog configurations.

  • 02

    Does the AI create new monitors automatically?

    No. The AI identifies issues based on existing data, but it does not create new monitors or alerts.

  • 03

    Can I use this to fix code errors?

    No. The AI identifies that an error budget is burning, but it cannot access your codebase to fix bugs.

  • 04

    How does the AI get the metric data?

    The AI uses the Datadog MCP to query metrics and list existing SLOs.

  • 05

    Can the AI delete old metrics?

    No. The tools provided are read-only for metrics and SLO definitions.

  • More questions about Datadog? See everything the Datadog Connector can do

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