Migrate from Datadog

Before migrating, document your existing Datadog configuration:

Export your Datadog configuration using the API:

# Export all log monitors
curl -X GET "https://api.datadoghq.com/api/v1/monitor" -H "DD-API-KEY: $DD_API_KEY" -H "DD-APPLICATION-KEY: $DD_APP_KEY" > monitors.json

# Export all dashboards
curl -X GET "https://api.datadoghq.com/api/v1/dashboard" -H "DD-API-KEY: $DD_API_KEY" -H "DD-APPLICATION-KEY: $DD_APP_KEY" > dashboards.json

Follow the Deployment Guide to set up LogTide. Here's a quick start:

# Clone and configure
git clone https://github.com/logtide-dev/logtide.git
cd logtide/docker

# Copy and edit environment
cp .env.example .env
# Edit .env: Set PUBLIC_API_URL, database passwords, etc.

# Start LogTide
docker compose up -d

# Verify deployment
curl http://localhost:8080/health

After deployment, create your organization and project via the UI at http://localhost:3000, then generate an API key from the project settings.

Replace Datadog SDK with LogTide SDK. The API is similar, making migration straightforward.

Node.js Migration

import { datadogLogs } from '@datadog/browser-logs';

datadogLogs.init({
clientToken: 'pub_xxx',
site: 'datadoghq.com',
service: 'my-app',
env: 'production',
});

datadogLogs.logger.info('User logged in', {
userId: 123,
email: '[email protected]'
});

import { LogTideClient } from '@logtide-dev/sdk-node';

const client = new LogTideClient({
apiUrl: 'http://logtide.internal:8080',
apiKey: 'lp_xxx',
globalMetadata: { env: 'production' }
});

client.info('my-app', 'User logged in', {
userId: 123,
email: '[email protected]'
});

Python Migration

from datadog import initialize, statsd
from ddtrace import tracer

initialize(api_key='xxx', app_key='yyy')

@tracer.wrap()
def process_request():
  statsd.increment('requests')
  # Datadog auto-instruments logs

from logtide_sdk import LogTideClient

client = LogTideClient(
  api_url='http://logtide.internal:8080',
  api_key='lp_xxx',
  global_metadata={'env': 'production'}
)

def process_request():
  client.info('api', 'Processing request')
  # Your business logic

Method Mapping

Convert your Datadog monitors to LogTide alert rules. Here's how the formats map:

{
"name": "High Error Rate",
"type": "log alert",
"query": "status:error service:api",
"message": "Error rate exceeded",
"options": {
  "thresholds": { "critical": 100 },
  "evaluation_delay": 60
}
}

{
"name": "High Error Rate",
"enabled": true,
"service": "api",
"level": ["error"],
"threshold": 100,
"timeWindow": 5,
"emailRecipients": ["[email protected]"],
"webhookUrl": "https://hooks.slack.com/..."
}

Create alert rules via the LogTide API:

curl -X POST "http://logtide.internal:8080/api/v1/alerts" -H "Authorization: Bearer YOUR_SESSION_TOKEN" -H "Content-Type: application/json" -d '{ 
  "organizationId": "your-org-id",
  "projectId": "your-project-id",
  "name": "High Error Rate",
  "enabled": true,
  "service": "api",
  "level": ["error"],
  "threshold": 100,
  "timeWindow": 5,
  "emailRecipients": ["[email protected]"]
}'

Run both platforms in parallel for 24-48 hours to validate data consistency before cutover.

import { datadogLogs } from '@datadog/browser-logs';
import { LogTideClient } from '@logtide-dev/sdk-node';

// Initialize both
datadogLogs.init({ clientToken: 'xxx', site: 'datadoghq.com' });
const logtide = new LogTideClient({
apiUrl: 'http://logtide.internal:8080',
apiKey: 'lp_xxx'
});

// Wrapper to send to both
function log(level: string, service: string, message: string, meta?: object) {
// Send to Datadog
datadogLogs.logger[level](message, { service, ...meta });

// Send to LogTide
logtide[level](service, message, meta);
}

// Usage
log('info', 'api', 'Request processed', { userId: 123 });

Validation Checklist

• Compare log counts in both platforms (should match within 1%)
• Verify search results return the same logs
• Test alert triggers on both platforms
• Confirm notification delivery (email, Slack, webhooks)

Once validated, complete the migration:

1. 1 Update production configs to use LogTide SDK only (remove Datadog SDK)
2. 2 Remove Datadog Agent from all hosts (if using infrastructure monitoring, consider alternatives)
3. 3 Update team runbooks and documentation to reference LogTide URLs
4. 4 Cancel Datadog subscription after retention period expires