This n8n workflow is designed to monitor cloud costs across AWS, Azure, and GCP, providing real-time cost analysis, detection of spending spikes, and automated alerting. The process begins with a scheduled trigger that initiates data fetching from each cloud provider’s billing API. It then combines and cleanses the billing data into a unified format, making it easier to analyze.
The workflow includes a cost spike detection node that compares current costs against predefined thresholds, identifying unusual spending patterns or budget overruns. Resources are then matched to their owners or teams, either through existing tags or manual input. If a resource is untagged, an automatic tagging process assigns relevant labels based on the cloud platform.
Finally, the workflow sends detailed notifications via email, WhatsApp, and Slack, alerting stakeholders about cost spikes, resource details, and proposed tags for quick identification and follow-up. The entire process helps organizations track budget adherence, identify spending anomalies early, and maintain better control over their multi-cloud expenses.
This automation is particularly useful for cloud cost management teams, DevOps, and financial controllers seeking to optimize cloud spending and enforce budgeting policies in real-time.
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