Connect AWS CloudWatch Metrics to Looker: Dashboards in Minutes

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AWS CloudWatch Metrics
Looker

Visualize AWS CloudWatch Metrics in Looker

Visualizing your AWS CloudWatch Metrics data in Looker helps business teams monitor infrastructure health without technical complexity. With Kondado, you simply connect your AWS CloudWatch Metrics account as a data source and select Looker as your destination. The platform replicates your monitoring data on a configurable schedule, ensuring your dashboards reflect current performance trends without manual data exports or engineering resources. Operations teams can then track server utilization, application response times, and service availability through intuitive visualizations that support faster decision-making. You can customize update frequencies to match your operational needs, from near-real-time monitoring to daily summaries, making infrastructure insights accessible to marketing and business stakeholders without AWS console access.

Kondado provides a direct integration between AWS CloudWatch Metrics and Looker, replicating your monitoring data on a configurable schedule from every 5 minutes to daily, with no intermediate databases or complex setup required.

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

Available Pipelines for AWS CloudWatch Metrics and Looker

With Kondado, you can access the Incremental Metrics pipeline to track performance data collected since your last update, perfect for monitoring recent application behavior. Alternatively, the Moving Window Metrics pipeline lets you analyze metrics within specific time frames you define, ideal for spotting trends in server load or API latency over custom periods. Combining these pipelines in Looker enables operations teams to create unified dashboards that correlate infrastructure health with business outcomes, helping you identify when technical issues impact customer experience or revenue.

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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

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How to create AWS CloudWatch Metrics dashboards in Looker

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

1
Connect AWS CloudWatch Metrics

Add AWS CloudWatch Metrics as a data source by entering your AWS credentials and selecting the specific pipelines you want to replicate. Choose between Incremental Metrics or Moving Window Metrics based on your analysis needs.

2
Select Looker Destination

Choose Looker as your visualization destination to send your monitoring data directly without intermediate storage. You can also route data to BigQuery or PostgreSQL if your team uses multiple analytics platforms.

3
Build Dashboards and Configure Refresh

Design your operational dashboards in Looker using the replicated metrics, then set your preferred update frequency from every 5 minutes to daily. Your reports will stay current automatically, ensuring teams always view the latest infrastructure performance data.

Access AWS CloudWatch Metrics data in Looker 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 Looker automatically

How do I connect AWS CloudWatch Metrics to Looker using Kondado?
Start by adding AWS CloudWatch Metrics as a data source in your Kondado account and authenticate with your AWS credentials. Then select Looker as your destination, choose your preferred pipelines, and set your update schedule. The connection requires no coding or intermediate storage systems.
What kind of dashboards can I build with CloudWatch Metrics in Looker?
You can create custom dashboards tracking EC2 instance performance, Lambda function execution times, RDS database health, or API Gateway latency. These visualizations help business teams correlate infrastructure performance with user experience metrics to identify when technical issues affect customer satisfaction.
How often does the data update in Looker?
Kondado updates your data on a configurable schedule that you control, ranging from every 5 minutes to daily intervals. This ensures your Looker dashboards display current metrics without manual refreshes, keeping operations teams informed with timely insights.
Which KPIs should I track from CloudWatch Metrics for my business?
Focus on metrics that directly impact user experience, such as application response times, error rates, CPU utilization, and memory consumption. Tracking these KPIs in Looker helps non-technical teams understand when infrastructure performance affects conversion rates or service availability.
Are there pre-built report templates available for CloudWatch Metrics and Looker?
Kondado does not provide pre-built report templates for this combination, allowing you to build completely custom dashboards tailored to your specific business needs. You can design Looker reports that highlight the exact infrastructure metrics your operations and marketing teams need to monitor.
Can I share CloudWatch Metrics dashboards with my team in Looker?
Yes, once your data flows into Looker, you can use Looker's native sharing features to distribute dashboards across your organization. Team members can view infrastructure health trends without accessing the AWS console, making operational data accessible to marketing and business stakeholders.
Do I need a separate database to store CloudWatch Metrics data?
No, Kondado connects AWS CloudWatch Metrics directly to Looker without requiring intermediate databases or complex storage architectures. This direct approach simplifies your setup and reduces the technical maintenance required to keep your analytics current.
Can I send CloudWatch Metrics data to other visualization tools besides Looker?
Yes, Kondado supports multiple destinations including Power BI, Google Sheets, and BigQuery. This flexibility allows you to analyze your monitoring data in the tool that best fits each team's workflow and technical expertise.

Try out all the features for free for 14 days