Connect AWS CloudWatch Metrics to Data Studio: Dashboards in Minutes

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AWS CloudWatch Metrics
Data Studio

Visualize AWS CloudWatch Metrics in Data Studio

How to visualize AWS CloudWatch Metrics data in Data Studio? Kondado provides a direct integration that lets you replicate your monitoring data into Looker Studio (formerly Data Studio) without writing code or managing complex infrastructure. Simply select your metrics, choose your refresh schedule, and start building insightful dashboards that help your team track application performance and infrastructure health. Business users can now monitor AWS resource utilization alongside marketing and sales data for complete operational visibility. Whether you need to track EC2 CPU usage, Lambda error rates, or RDS storage capacity, Kondado brings these metrics into familiar visualization tools where operations and business teams can collaborate effectively. This approach turns technical monitoring data into accessible business intelligence that supports faster decision-making across your organization.

Kondado connects AWS CloudWatch Metrics directly to Data Studio with automated updates on a configurable schedule, eliminating the need for intermediate databases or technical setup.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With Kondado, you can access the Incremental Metrics pipeline to capture new data since your last update, or use the Moving Window Metrics pipeline to analyze performance over specific time periods you define. These pipelines let operations teams create custom dashboards showing server response times, database connection counts, and API latency trends directly in Looker Studio. By visualizing this infrastructure data alongside business metrics, you can quickly identify when technical issues impact customer experience or revenue, enabling proactive management without waiting for engineering reports.

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Dynamic data

Kondado automatically reads the schema of your AWS CloudWatch Metrics. All tables, views, and fields available in your account are extracted without manual configuration.

2
available pipelines

What Kondado extracts

Métricas (Incremental)
Metrics collected incrementally from the last execution
Métricas (Janela Móvel)
Metrics with a configurable moving time window
Integration Description
Métricas (Incremental) Metrics collected incrementally from the last execution
Métricas (Janela Móvel) Metrics with a configurable moving time window

Try out all the features for free for 14 days

How to create AWS CloudWatch Metrics dashboards in Data Studio

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect AWS CloudWatch Metrics

Select AWS CloudWatch Metrics as your data source and authenticate with your AWS account to establish the initial connection.

2
Select Data Studio destination

Choose Looker Studio as your destination and pick either the Incremental Metrics or Moving Window Metrics pipelines to define your data scope.

3
Configure refresh and build dashboards

Set your preferred update frequency from 5 minutes to daily, then start creating custom dashboards in Data Studio that combine infrastructure metrics with business data.

Access AWS CloudWatch Metrics data in Data Studio and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

Visualize AWS CloudWatch Metrics data in other BI tools

If the software you need is not listed, drop us a messagem. You can use almost every tool

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Frequently Asked Questions (FAQ)

Answers about visualizing AWS CloudWatch Metrics data in Data Studio automatically

How do I set up AWS CloudWatch Metrics as a data source in Kondado?
Start by selecting AWS CloudWatch Metrics from our available sources and authenticate with your AWS credentials. Choose between the Incremental Metrics or Moving Window Metrics pipelines based on your analysis needs, then specify which specific metrics and dimensions you want to replicate. The setup requires no coding and typically takes just a few minutes to complete.
What AWS CloudWatch Metrics KPIs should I track in Data Studio?
Focus on metrics that connect infrastructure performance to business outcomes, such as EC2 CPU utilization, Lambda error rates, RDS storage capacity, and application response times. You can also track API Gateway request counts and CloudFront cache hit ratios to understand how technical performance affects user experience and operational costs.
How often does AWS CloudWatch Metrics data update in Data Studio?
You configure the update frequency based on your monitoring needs, with options ranging from every 5 minutes to daily schedules. This configurable schedule ensures your dashboards reflect recent performance data without overwhelming your systems with unnecessary updates, balancing freshness with resource efficiency.
Can I share AWS CloudWatch Metrics dashboards with my team?
Yes, once your data is in Looker Studio, you can share dashboards with stakeholders across your organization just like any other Data Studio report. Team members can view server health, application performance, and resource utilization without needing AWS console access or technical expertise.
Do I need technical skills to connect AWS CloudWatch Metrics to Data Studio?
No coding or engineering background is required to set up the connection. Kondado handles the technical complexity of replicating data from AWS CloudWatch Metrics, allowing business users to select metrics through a simple interface and start building dashboards immediately.
What types of dashboards can I build with AWS CloudWatch Metrics in Data Studio?
You can create operational health dashboards showing resource utilization trends, cost optimization reports tracking data transfer and storage metrics, and performance monitoring views displaying latency and error rates. These custom dashboards help non-technical teams understand infrastructure status without accessing the AWS console.
Can I combine AWS CloudWatch Metrics with other data sources in Data Studio?
Absolutely. Looker Studio allows you to blend your CloudWatch data with information from Google Sheets, BigQuery, or other business systems. This enables you to correlate server performance with conversion rates, or compare infrastructure costs against revenue metrics in unified reports.

Try out all the features for free for 14 days