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Kondado enables business teams to visualize AWS CloudWatch Metrics directly in Looker Studio without technical setup or intermediate storage systems. Simply connect your AWS account as a data source, select the specific metrics pipelines you need for your operational analysis, and start building intuitive dashboards that track application performance, infrastructure health, and resource utilization across your entire cloud environment. Kondado replicates your selected metrics automatically on your chosen schedule, keeping your reports current without manual exports, CSV downloads, or spreadsheet maintenance, so you can focus on making data-driven decisions rather than managing data flows.
Kondado connects AWS CloudWatch Metrics to Looker Studio via a direct integration that updates on a configurable schedule ranging from every 5 minutes to daily, eliminating the need for complex manual processes, intermediate databases, or technical expertise while delivering automated monitoring insights to business users.
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With Kondado, you can replicate both incremental metrics and moving window metrics directly into Looker Studio for comprehensive monitoring analysis and operational visibility. The Metrics (Incremental) pipeline captures new data points since your last update, perfect for tracking ongoing application performance trends and identifying gradual infrastructure changes over time without reprocessing historical information. Meanwhile, the Metrics (Moving Window) pipeline allows you to define specific time ranges for historical analysis, enabling you to compare current system health against previous periods and spot seasonal patterns in your AWS resource utilization.
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Kondado automatically reads the schema of your AWS CloudWatch Metrics. All tables, views, and fields available in your account are extracted without manual configuration.
| Integration | Description |
|---|---|
| Métricas (Incremental) | Metrics collected incrementally from the last execution |
| Métricas (Janela Móvel) | Metrics with a configurable moving time window |
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Visualize your data automatically — no spreadsheet exports or custom scripts.
Log into Kondado and add AWS CloudWatch Metrics as a data source, then authenticate with your AWS account credentials to establish the connection. Select the specific metrics pipelines you want to replicate, choosing between incremental updates or moving window timeframes based on your analysis needs.
Select Looker Studio as your destination to send the replicated metrics data directly into Google's visualization platform. Configure your update schedule to refresh data every 5 minutes, hourly, or daily depending on how frequently you need to monitor your AWS infrastructure.
Build custom dashboards in Looker Studio using your CloudWatch metrics to visualize CPU utilization, application latency, or error rates across your AWS environment. Set up automated refresh schedules so your reports stay current without manual updates, allowing your team to make decisions based on the latest monitoring data.
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