Skip to main content

Catch Failures
Before They Become Problems

Silent failures cost money, customers, and peace of mind.

SEER gives you instant alerts when pipelines, integrations, or automations break, so you can respond fast and stay reliable.

14-day free trial • No long-term commitment • Cancel anytime

Full Observability for Your Scripts

Catch silent failures, track execution time, and debug faster—without refactoring your codebase.

Easy Integration
Add monitoring to your existing scripts with just a few lines of code. No complex setup required.
@monitor
def sync():
# your code
Real-time Alerts
Get instant notifications via email or Slack when your scripts fail or performance degrades.
SEER
🚨 Pipeline failed: data-sync
Just now
Error Detection
Catch silent failures before your users do with automatic anomaly detection.
Performance Analytics
Track execution times and success rates with detailed dashboards.
Heartbeat Monitoring
Never miss a scheduled run again with configurable heartbeat checks.
Multi-Platform Support
REST API works with any language. Python SDK makes integration effortless for cron jobs, scheduled tasks, and batch scripts.
REST API
Python
Node.js
Docker
Detailed Logging
Capture logs, metadata, and custom metrics to understand exactly what happened during each run.

Real-world monitoring examples

See how SEER monitors different types of scripts and catches issues before they become problems.

Data Processing
daily_sales_report.py
Running
Duration:2m 34s
Records processed:45,231
Last run:6 hours ago
Database Backup
nightly_backup.py
Success
Duration:12m 18s
Backup size:2.4 GB
Last run:2 hours ago
API Sync
sync_customers.py
Failed
Error:API timeout
Retry in:5 minutes
Alert sent:Just now

From script to dashboard in 2 lines of code

See the direct connection between your code and the monitoring dashboard

nightly_backup.py
from seerpy import Seer

# Initialize SEER
seer = Seer(apiKey='YOUR_API_KEY')

def nightly_backup():
    # Your existing backup logic
    backup_file = create_backup()
    upload_to_s3(backup_file)
    print(f"Backup complete: {backup_file}")

# Use context manager to monitor execution
with seer.monitor("database-backup", capture_logs=True):
    nightly_backup()

# SEER automatically tracks:
# - Execution time and status
# - Errors with full stack traces
# - All print() and log output
One context manager, complete monitoring. SEER automatically tracks execution time, status, errors, and sends alerts if anything goes wrong.
Live in your dashboard
Database Backup

nightly_backup.py

Status
Success
Duration12m 18s
Files backed up1,247
Total size2.4 GB
Last run2 hours ago
Auto-alerts enabled: You'll be notified on Slack if this backup fails or takes longer than expected.

This card updates automatically with each run

Simple, transparent pricing

Start free, scale as you grow. No hidden fees or surprise charges.

Unlimited Data Retentionon all plans — Keep your monitoring history forever

Free
Perfect for getting started
$0/month
  • 3 monitors
  • 1 API key
  • Email & Slack notifications
  • Unlimited data retention
Starter
For small teams
$10/month
14-day free trial
  • 10 monitors
  • 3 API keys
  • Email & Slack notifications
  • Unlimited data retention
  • +$1.50 per additional monitor
Most Popular
Pro
For growing teams and production workloads
$29/month
14-day free trial
  • 25 monitors
  • 5 API keys
  • Premium Integrations
  • Unlimited data retention
  • Advanced analytics
  • Priority support
  • +$1.50 per additional monitor
Enterprise
For large-scale operations
Custom
  • Unlimited monitors
  • Unlimited API keys
  • Custom integrations
  • Unlimited data retention
  • SLA guarantees
  • Dedicated support

All plans include our core monitoring features. Start with a 14-day free trial on Pro plans.

Get started in minutes

Simple integration with comprehensive documentation and examples

Python Integration

Wrap your existing scripts with SEER monitoring in just a few lines of code. Get automatic error detection, performance tracking, and real-time alerts.

Automatic error capture and logging
Performance metrics collection
Heartbeat monitoring
Custom metadata tracking
daily_report.py
# Import SEER monitoring
from seerpy import Seer

seer = Seer(apiKey='YOUR_API_KEY')
# Your existing imports
import pandas as pd
import requests

def run_report():
    # Your script logic here
    data = pd.read_csv("sales_data.csv")
    processed = data.groupby("region").sum()
    processed.to_csv("daily_report.csv")

# Wrap your script with SEER monitoring
with seer.monitor("daily-report-job"):
    run_report() # + your script logic here

Quick Start Guide

1

Create Account

Sign up for free and get your API key

2

Install SDK

pip install seerpy

3

Start Monitoring

Wrap your code and get instant insights

Ready to monitor your jobs?

Join thousands of users who trust SEER to keep their scripts running smoothly.

Setup in under 5 minutes