Get SEER monitoring up and running in under 5 minutes. No complex configuration required.
df_)pip install seerpy
Requirements: Python 3.7 or higher
from seerpy import Seer
seer = Seer(apiKey='YOUR_API_KEY')
# Your existing function
def process_data():
# Your code here
data = load_data()
transformed = transform(data)
save_results(transformed)
# Wrap it with monitoring
with seer.monitor("data-pipeline"):
process_data()Done! SEER now tracks execution time, success/failure, and sends alerts if something goes wrong.
Start time, end time, duration, and success/failure status tracked automatically
Get notified via Slack or email when your scripts fail
Full stack traces and error messages captured automatically
View past runs, execution trends, and success rates in the dashboard