Connect AWS CloudWatch Metrics to Alteryx: Dashboards in Minutes

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AWS CloudWatch Metrics
Alteryx

Connect AWS CloudWatch Metrics to Alteryx

Connect your AWS CloudWatch Metrics to Alteryx with Kondado to monitor infrastructure performance and application health through intuitive visual analytics. Our direct integration eliminates complex technical setup and intermediate databases, letting business teams access critical time-series monitoring data without waiting for specialized IT support. You can replicate metrics on a configurable schedule ranging from every five minutes to daily updates, ensuring your dashboards always reflect current system behavior and performance trends.

Kondado provides a Via Kondado connection that sends AWS CloudWatch Metrics directly to Alteryx without intermediate databases or manual CSV exports, enabling operations teams to build automated reports that update on their preferred schedule.

With this streamlined connection, marketing agencies and SMB operations teams can track website availability, server response times, and application performance directly within their familiar analytics environment. Transform raw monitoring data into actionable business intelligence that helps you optimize customer experiences, prevent costly downtime, and make confident infrastructure decisions based on near-real-time operational insights. Visualize trends over time to identify patterns that impact your business outcomes and share critical metrics with stakeholders who need immediate visibility into system health.

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

With Kondado, you can access the Métricas (Incremental) pipeline to capture only new metrics since your last update, or use the Métricas (Janela Móvel) pipeline to analyze performance within specific rolling time periods that matter to your business. This flexibility lets operations managers correlate AWS infrastructure health with marketing campaign performance, identifying exactly when server latency affects conversion rates. Track CPU utilization patterns alongside customer traffic spikes to optimize your cloud spending, or monitor error rates to catch application issues before they impact revenue. By bringing these monitoring insights into Alteryx, you create unified reports that connect technical performance directly to business KPIs without switching between multiple platforms.

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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 Alteryx

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

1
Connect your AWS CloudWatch Metrics account

Authenticate your AWS CloudWatch Metrics data source in Kondado by entering your AWS credentials and choosing the metric namespaces you want to replicate. Select either the incremental collection or moving window pipeline based on your analysis needs.

2
Choose Alteryx as your destination

Set Alteryx as the target for your replicated data to enable direct visualization without intermediate storage requirements. You can also route the same information to Google Sheets or BigQuery for additional analysis workflows.

3
Schedule updates and build dashboards

Configure your data refresh interval from every five minutes to daily updates, then use Alteryx to design custom reports that blend CloudWatch metrics with your business datasets. The automated schedule ensures your infrastructure insights remain current without manual intervention.

Access AWS CloudWatch Metrics data in Alteryx 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

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Frequently Asked Questions (FAQ)

Answers about visualizing AWS CloudWatch Metrics data in Alteryx automatically

How do I connect AWS CloudWatch Metrics to Alteryx without coding?
Kondado offers a direct integration that connects your AWS CloudWatch Metrics account to Alteryx without requiring any programming or complex API configuration. Simply authenticate your AWS account, select the metrics you want to replicate, and choose Alteryx as your destination. The platform handles all data formatting automatically, delivering ready-to-analyze information directly to your workflow.
What types of dashboards can I build with CloudWatch Metrics in Alteryx?
You can create comprehensive operational reports that visualize CPU utilization trends, memory consumption patterns, and application error rates alongside your business data. Combine the Métricas (Incremental) pipeline with sales metrics to identify infrastructure bottlenecks during peak traffic periods. Many users also build cost optimization dashboards that correlate resource usage with cloud spending to identify savings opportunities.
How often does AWS CloudWatch Metrics data update in Alteryx?
You control the refresh schedule based on your monitoring needs, choosing intervals from every five minutes for critical systems to hourly or daily updates for trend analysis. The Métricas (Incremental) pipeline automatically captures only new data points since your last scheduled run, ensuring efficient updates without duplicate information. This keeps your reports current while optimizing processing time for your analytics workflows.
Which AWS performance KPIs should I track in Alteryx for business insights?
Focus on metrics that directly impact customer experience, such as API response times, database connection latency, and server availability percentages. The Métricas (Janela Móvel) pipeline helps you analyze rolling averages that smooth out temporary spikes while highlighting genuine performance degradation. Operations teams benefit from tracking error rates and throttled requests to prevent service interruptions before they affect end users.
Are there pre-built report templates for AWS CloudWatch Metrics in Alteryx?
Kondado does not currently offer pre-built report templates for this combination, allowing you complete flexibility to design custom dashboards that match your specific business requirements. You can build personalized reports that blend CloudWatch data with information from other sources like Google Sheets or BigQuery to create comprehensive operational views. This customization ensures your visualizations address the unique KPIs that matter most to your stakeholders.
Can I share AWS CloudWatch Metrics dashboards with my team in Alteryx?
Once your data flows into Alteryx, you can distribute insights using the platform's native sharing capabilities, ensuring team members have consistent access to current infrastructure metrics. Schedule automated report generation that delivers updated dashboards to stakeholders via email or shared drives on your configured refresh cycle. This keeps everyone aligned on system performance without requiring direct AWS console access for every team member.
Do I need an intermediate database to connect AWS CloudWatch Metrics to Alteryx?
No, Kondado's Via Kondado connection delivers data directly to Alteryx without requiring intermediate storage in PostgreSQL, MySQL, or Amazon S3. This streamlined approach eliminates database maintenance overhead and reduces the technical complexity typically associated with monitoring data replication. Your metrics flow straight into your analytics environment where they are immediately available for visualization and analysis.

Try out all the features for free for 14 days