Learn how to set up and monitor your first pipeline
A pipeline in SEER monitors your scripts and data processes. Here's how to create one:
Your script needs to send status updates to SEER:
# Python example
import requests
# At the start of your script
requests.post('https://your-domain.com/api/pipelines/{pipeline_id}/notify', {
'status': 'running',
'message': 'Script started successfully'
})
# At the end of your script
requests.post('https://your-domain.com/api/pipelines/{pipeline_id}/notify', {
'status': 'success',
'message': 'Script completed successfully'
})Run your script manually to ensure SEER receives the notifications correctly.
SEER monitors your scripts by tracking their execution status and timing:
Stay informed about your pipeline status with notifications:
You can customize when and how you receive notifications:
Your SEER dashboard provides an overview of all your monitored pipelines:
From the dashboard, you can: