Monitor API Platform Daily Usage Aggregation
Ensure your API platform's usage metrics are always accurate and up-to-date by monitoring aggregation scripts. Get immediate alerts if daily usage data fails to process, impacting analytics and billing.
The problem
For API platforms, accurate daily usage aggregation is critical for billing, analytics, and understanding customer behavior. If the script responsible for collecting and processing these metrics silently fails, your billing system could charge customers incorrectly, or your product team might make decisions based on stale or incomplete data. This can lead to significant revenue loss, customer disputes, and a skewed understanding of your platform's performance.
Consider a nightly job that aggregates millions of API calls into daily summary tables. If this job encounters a database deadlock or a memory exhaustion error and silently exits, the next day's dashboards will show missing data, and month-end billing might be based on incomplete usage. Developers often only discover this during reconciliation, requiring urgent manual data recovery and re-processing, which is costly and delays critical business reporting.
How Heartfly solves it
Concrete example
#!/bin/bash
# daily_api_aggregation.sh
echo "Starting API usage aggregation..."
/usr/bin/python3 /app/scripts/aggregate_api_logs.py --date $(date +%Y-%m-%d)
if [ $? -eq 0 ]; then
echo "Aggregation complete. Pinging Heartfly."
curl -fsS --retry 3 "${HEARTFLY_PING_URL_API_AGGREGATION}"
el
echo "Aggregation failed."
# Optionally, ping a failure URL
fi