Enhance your monitoring by integrating Stripe events with AWS CloudWatch Log Groups

Summary

Stripe events notify account owners about changes such as successful charges, failed invoice payments, and available reconciliation reports. Because Stripe retains events for 13 months but exposes older events than 30 days only as summaries, Amazon EventBridge can route them into an AWS account and Amazon CloudWatch Log Groups can provide longer-term monitoring and analysis. The setup uses CloudWatch metric filters to match event types such as invoice.payment_failed, convert matches into custom metrics, and support alarms, Amazon SNS notifications, dashboards, and Logs Insights queries. For example, a failed-invoice alarm can use a five-minute observation period, Sum statistics, and a threshold based on expected failure volume or anomaly detection. The resulting setup supports near-real-time visibility into successful charges and failed payments, historical trend analysis, troubleshooting, and responses to unusual activity.

Context

Stripe events are useful for tracking Stripe object lifecycles, driving event-based workflows, and maintaining records for analysis and troubleshooting. Stripe retains events for 13 months, but events older than 30 days are available only as summaries, creating a need for longer-term storage, monitoring, and analysis.

Approach / What changed

Route Stripe events into AWS with Amazon EventBridge, then send them to an Amazon CloudWatch Log Group. Use CloudWatch metric filters to match event types, create custom metrics, configure alarms with thresholds or anomaly detection, and send state-change notifications through Amazon SNS. CloudWatch dashboards and Logs Insights support visualization, querying, trend analysis, and troubleshooting.

Takeaways

• The CloudWatch filter pattern { $.type = "invoice.payment_failed" } targets failed invoice payment events for metric creation and alerting.
• A failed-invoice alarm can use Sum statistics over a five-minute period, with a threshold based on expected failure volume or CloudWatch anomaly detection.
• CloudWatch dashboards, Logs Insights, metric filters, and alarms support near-real-time monitoring as well as historical analysis of Stripe events.

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