Connect AWS CloudWatch Metrics to Cortex: Dashboards in Minutes

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AWS CloudWatch Metrics
Cortex

Visualize AWS CloudWatch Metrics in Cortex

Kondado makes it simple to replicate your AWS CloudWatch Metrics data directly into Cortex without writing code or managing complex infrastructure. You connect your AWS CloudWatch Metrics account as a data source, choose Cortex as your visualization destination, and select which pipelines you want to analyze. The platform handles all data replication on a configurable schedule that you control, keeping your dashboards current with automated updates that match your business needs.

Kondado connects AWS CloudWatch Metrics to Cortex using a direct “Via Kondado” connection that requires no intermediate databases, no manual exports, and no technical setup.

Business teams can monitor application performance, track infrastructure health, and analyze operational trends through intuitive Cortex visualizations. Whether you need to oversee EC2 instance metrics, Lambda function performance, or custom application monitoring data, you get clear visual insights that support faster operational decisions and resource planning. The configurable refresh intervals ensure your reports always reflect the latest system states without requiring manual data pulls or spreadsheet updates.

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 specific pipelines including Métricas (Incremental) for tracking metrics collected since your last update, or Métricas (Janela Móvel) for analyzing data within configurable moving time windows. This combination lets operations teams spot performance bottlenecks across their AWS infrastructure, monitor error rates for critical services, and track resource utilization trends without technical complexity. Marketing and product teams can correlate application availability with user engagement patterns, while IT managers build comprehensive uptime reports that demonstrate service reliability to stakeholders using automatically refreshed data.

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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 Cortex

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 authentication details. Select the specific pipelines you want to replicate, such as Métricas (Incremental) or Métricas (Janela Móvel).

2
Choose Cortex destination

Select Cortex as your visualization destination to receive the replicated metrics data. Configure your update schedule to determine how frequently your dashboards refresh with new data from AWS.

3
Build dashboards and schedule

Create custom visualizations in Cortex using your CloudWatch Metrics data and set the refresh intervals to keep reports updated automatically. Share insights with your team to improve operational decision-making.

Access AWS CloudWatch Metrics data in Cortex 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 Cortex automatically

How do I set up AWS CloudWatch Metrics in Cortex without coding?
Start by adding AWS CloudWatch Metrics as a data source in your Kondado account using your AWS credentials. Select Cortex as your destination, choose the pipelines you want to replicate, and set your preferred update schedule. The connection uses a direct "Via Kondado" approach that eliminates the need for manual API configurations or database management.
What types of dashboards can I build with CloudWatch Metrics in Cortex?
You can create custom dashboards showing EC2 instance performance, Lambda execution metrics, or application load balancer statistics. Operations teams often build views that combine CPU utilization with memory consumption trends, while business users visualize service uptime percentages and error rate correlations. These visualizations help identify when resources need scaling or when services require attention.
How often does CloudWatch Metrics data update in Cortex?
You control the refresh frequency based on your monitoring needs, with options ranging from every 5 minutes to daily updates. For critical production systems, shorter intervals help catch performance issues quickly, while cost-conscious teams might prefer hourly or daily refreshes for trend analysis. The configurable schedule ensures your reports stay current without unnecessary data transfer.
Which AWS performance KPIs should I track in Cortex?
Common metrics include CPU utilization percentages, memory usage patterns, disk I/O operations, and network traffic volumes for your EC2 instances. You should also monitor Lambda function duration, API Gateway request counts, and RDS database connection metrics. Tracking these indicators helps maintain optimal application performance and prevents resource bottlenecks before they impact users.
Can I share CloudWatch Metrics dashboards with my team in Cortex?
Yes, once you build your dashboards in Cortex, you can share them with team members through standard sharing features available in the platform. Operations managers often distribute uptime reports to executives, while development leads share performance trends with their engineering teams. This ensures everyone stays informed about system health without needing direct AWS console access.
Do I need a separate database to connect CloudWatch Metrics to Cortex?
No, Kondado uses a direct "Via Kondado" connection that sends your metrics straight to Cortex without requiring intermediate databases like PostgreSQL or BigQuery. This streamlined approach reduces setup time and eliminates the need for database maintenance or schema management. Your data flows directly from AWS to your visualization tool.
What is the difference between Incremental and Moving Window metrics pipelines?
The Métricas (Incremental) pipeline captures only new metrics collected since your last scheduled update, making it efficient for tracking ongoing performance. The Métricas (Janela Móvel) pipeline retrieves data within a specific rolling time window that you configure, which helps analyze recent trends without loading historical data. Choose Incremental for cumulative monitoring and Moving Window for snapshot analysis.

Try out all the features for free for 14 days