Who Is SEER For? Data Engineers, DevOps, and Indie Developers
The best monitoring tool for cron jobs, Python scripts, ETL pipeline monitoring, and Airflow heartbeat tracking. Monitor your automation reliability—before your users notice failures.
Free forever plan available
Monitor ETL Pipelines and Airflow DAGs with Ease
Whether you're managing ETL pipelines, running cron jobs, or monitoring Python scripts, SEER keeps your automation reliable with uptime monitoring for scripts and pipeline reliability monitoring.
Common Pain Points
- • Pipelines fail silently without notification
- • Inconsistent data quality from failed transformations
- • SLA breaches go undetected until too late
- • Downstream systems fail because upstream jobs didn't run
How SEER Solves This
- • Heartbeat monitoring ensures jobs run on schedule
- • SLA tracking with configurable thresholds
- • Instant Slack alerts when pipelines fail or run late
- • Track execution time trends to catch performance degradation
Real-World Examples
Daily ETL Pipeline: Monitor a nightly data ingestion job that must complete before 6 AM for morning reports
Airflow DAGs: Track multi-step workflows and get alerted at the exact step where failures occur
dbt Transformations: Monitor model runs and catch data quality issues before they propagate downstream
from seerpy import Seer
seer = Seer(api_key="your_api_key")
pipeline = seer.start_job("daily-etl")
try:
# Your ETL logic
extract_data()
transform_data()
load_to_warehouse()
pipeline.success(metadata={
"rows_processed": 150000,
"runtime_seconds": 420
})
except Exception as e:
pipeline.fail(error=str(e))Common Pain Points
- • Cron jobs silently break and you don't know for weeks
- • No time to build custom monitoring infrastructure
- • Checking logs manually is tedious and unreliable
- • Need to sesuatu simple that "just works"
How SEER Solves This
- • 2-minute setup with lightweight API
- • No infrastructure required—just add one line of code
- • Free forever plan for small projects
- • Email and Slack alerts keep you informed
Real-World Examples
Web Scraper: Monitor your daily product price scraper to ensure data stays fresh for your comparison site
Newsletter Automation: Track your weekly newsletter generation script and know instantly if it fails
Database Backup: Get alerted if your nightly backup script doesn't run successfully
import requests
# Just add this one line at the end of your script
requests.post(
"https://api.ansrstudio.com/heartbeat",
headers={"Authorization": "your_api_key"},
json={"pipeline_name": "price-scraper"}
)
# That's it! SEER now monitors your script.Common Pain Points
- • Uptime monitors only check if servers are up, not if jobs run
- • Background workers fail silently in distributed systems
- • Lambda/Cloud Functions timeout without proper visibility
- • Need to track "did the job actually execute?" not just server health
How SEER Solves This
- • Monitor actual job execution, not just infrastructure
- • Track function invocations and completion status
- • Integration with your existing alerting (PagerDuty, Slack, webhooks)
- • Performance metrics to catch degradation early
Real-World Examples
Queue Workers: Monitor SQS/RabbitMQ consumers and get alerted when message processing falls behind
Serverless Functions: Track AWS Lambda or Cloud Functions to ensure they complete successfully
Scheduled Cleanup: Monitor database cleanup jobs, log rotation, and maintenance tasks
from seerpy import Seer
def lambda_handler(event, context):
seer = Seer(api_key=os.environ["SEER_API_KEY"])
job = seer.start_job("image-processor")
try:
process_images(event['batch_id'])
job.success()
except Exception as e:
job.fail(error=str(e))
raiseCommon Pain Points
- • No unified visibility across all automated jobs
- • Logs scattered across different services
- • Team members don't know which jobs are critical
- • On-call rotation needs centralized alerting
How SEER Solves This
- • Centralized dashboard for all team monitors
- • Team-based API keys for better organization
- • Scheduled reports sent to Slack channels
- • Role-based access control (coming soon)
Real-World Examples
Multi-Service Platform: Monitor 20+ background jobs across microservices from one dashboard
Team Coordination: Send nightly summary reports to your #engineering Slack channel
On-Call Rotation: Route critical alerts to PagerDuty while sending non-urgent issues to Slack
Team Benefits
- Shared visibility across engineering team
- Multiple API keys for different services
- Historical data for postmortems and analysis
- Affordable pricing that scales with your growth
Best Monitoring Tool for Cron Jobs and Python Scripts
From Python scripts to cloud functions—if it runs on a schedule, SEER can monitor it. Unlike BetterUptime, SEER lets you monitor ETL pipelines and scheduled tasks directly. Compared to Cronitor, SEER focuses on script-level reliability instead of just uptime.
Monitor any Python automation or data processing script
Track scheduled tasks and system maintenance jobs
Monitor data extraction, transformation, and loading workflows
Track DAGs and orchestration workflows
Monitor serverless function execution
Track background workers and service health
Monitor cleanup, vacuum, and maintenance tasks
Track scheduled AI workflows and batch inference jobs
Monitor Supabase scheduled database functions
Ensure your data collection scripts run reliably
Track email, SMS, and notification jobs
Monitor critical API endpoints and webhooks
Monitor with a Single POST Call
No YAML configuration. No complex setup. Just add SEER to your script and start monitoring in minutes. Perfect for devops monitoring for cron jobs and scheduled task tracking.
curl -X POST https://api.ansrstudio.com/heartbeat \
-H "Authorization: your_api_key" \
-H "Content-Type: application/json" \
-d '{"pipeline_name": "my-job"}'Why SEER is the Best Alternative to Cronitor and BetterUptime
SEER provides comprehensive pipeline reliability monitoring that goes beyond simple uptime checks.
Cronitor focuses on HTTP endpoint monitoring and basic heartbeat checks.
SEER provides script-level reliability monitoring with detailed execution metadata, performance tracking, and comprehensive error detection for ETL pipelines, Airflow DAGs, and Python scripts.
SEER advantages:
- • Track execution time trends and performance degradation
- • Monitor data pipeline steps individually
- • Capture custom metadata from your jobs
- • Free forever plan with generous limits
BetterUptime excels at monitoring website uptime and API endpoints.
SEER is purpose-built for scheduled tasks, background jobs, and data pipelines. Monitor cron jobs, Lambda functions, and batch processing jobs that BetterUptime wasn't designed for.
SEER advantages:
- • Designed specifically for script and pipeline monitoring
- • Track job success/failure, not just server status
- • Monitor Airflow, Dagster, dbt workflows
- • Developer-first API with Python SDK
Real Use Case: Monitoring a Daily Sales ETL Pipeline
A SaaS company runs a critical ETL pipeline every night at 2 AM to process the day's sales data. The pipeline extracts data from their production database, transforms it for analytics, and loads it into their data warehouse. Their morning dashboard depends on this completing by 6 AM.
Extract 500K records from Postgres
Clean, dedupe, and aggregate data
Load into Snowflake warehouse
With SEER, they get instant Slack alerts if any step fails or takes longer than expected. They can track execution time trends to catch performance issues before they become critical.
Frequently Asked Questions
Common questions about SEER monitoring for cron jobs, ETL pipelines, and scheduled tasks
Still have questions?
No more silent failures.
No more guessing.
SEER gives you instant visibility into every job that matters. Start monitoring in under 5 minutes with our free forever plan.
14-day free trial on paid plans • Cancel anytime