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Overview

Integrate CodeWolf with Datadog to centralize monitoring, metrics, and logging across your entire infrastructure.

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Prerequisites

  • Active Datadog account
  • Datadog API key
  • CodeWolf account

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Setup

1

Generate Datadog API key

In your Datadog account, navigate to Organization Settings > API Keys and create a new API key for CodeWolf.
Keep your API key secure. Never commit it to version control.
2

Configure CodeWolf integration

Go to CodeWolf dashboard > Integrations > Datadog.Enter your Datadog API key and select your Datadog site (US1, EU, etc.).
3

Enable metric collection

Choose which CodeWolf metrics to send to Datadog:
  • Application performance metrics
  • Error rates
  • Deployment events
  • Custom metrics

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Available metrics

CodeWolf sends the following metrics to Datadog:
  • codewolf.deployments.count: Number of deployments
  • codewolf.errors.rate: Error occurrence rate
  • codewolf.performance.score: Performance score (0-100)
  • codewolf.security.vulnerabilities: Security issues detected
  • codewolf.code.quality: Code quality score

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Dashboards

Create custom Datadog dashboards using CodeWolf metrics: 
{
  "type": "timeseries",
  "requests": [
    {
      "q": "avg:codewolf.performance.score{*}",
      "display_type": "line"
    }
  ],
  "title": "CodeWolf Performance Score"
}

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Log forwarding

Enable log forwarding to send CodeWolf logs to Datadog:
  1. Navigate to Integrations > Datadog > Logs
  2. Toggle Enable Log Forwarding
  3. Configure log filters and tags

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Alerts

Set up Datadog monitors for CodeWolf metrics:
  • Alert when error rate exceeds threshold
  • Notify on security vulnerabilities
  • Track deployment frequency
  • Monitor performance degradation

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Troubleshooting

  • Verify your API key is correct and active
  • Check that you selected the correct Datadog site region
  • Allow up to 5 minutes for initial metrics to appear
Ensure metric collection is enabled in CodeWolf settings for the specific metrics you want to monitor.