Ready-to-use and customizable reports for AWS CloudWatch Metrics

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AWS CloudWatch Metrics Dashboards and Reports

With Kondado, you can turn AWS CloudWatch Metrics data into clear, actionable reports that help business teams track infrastructure health, application performance, and resource availability across their entire AWS environment. Operations and marketing teams alike use these dashboards to spot trends in CPU utilization, memory consumption, latency patterns, and error rates without writing any code or managing complex queries. Whether you need a high-level executive summary for stakeholders or a detailed operational view for daily standups, you can build reports that match your exact workflow, business priorities, and reporting requirements in just a few minutes.

Kondado connects AWS CloudWatch Metrics to Power BI, Looker Studio, or Google Sheets so you can replicate time-series data, create fully custom dashboards, and keep your metrics updated on a configurable schedule with no code required.

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How to analyze this chart

Step-by-step guide to extract insights from your dashboard

Choose a report template

Browse report templates inside Power BI, Looker Studio, or Google Sheets and select a layout that matches your operational reporting goals. You can start from a blank canvas or adapt an existing company template to maintain consistent styling across teams.

Connect AWS CloudWatch Metrics account

Add AWS CloudWatch Metrics as your data source and authenticate your account through Kondado’s guided setup. The pipeline will begin replicating your selected metrics on the schedule you configure.

Deploy and customize your dashboard

Once your data appears in the report, adjust charts, apply filters by service or region, and add KPI cards to highlight critical metrics. Share the finished dashboard with stakeholders so everyone stays aligned on infrastructure health.

Frequently Asked Questions

Answers about dashboards and data visualization

Are there pre-built AWS CloudWatch Metrics report templates in Kondado? ▼

While there are no pre-built report templates for AWS CloudWatch Metrics today, you can quickly create custom dashboards by replicating your metrics to Power BI, Looker Studio, or Google Sheets. Kondado’s no-code pipeline gets your data flowing in minutes, and you can save any dashboard you build as your own reusable template for future use.

How do I customize an AWS CloudWatch Metrics dashboard after deploying it? ▼

After your data reaches your chosen visualization tool, you can rename fields, add calculated metrics, apply filters by region or service, and change chart types to match your reporting style. Every dashboard remains fully editable by your team, so you can iterate on layouts and KPIs as your monitoring needs evolve.

Which visualization tools work with AWS CloudWatch Metrics data from Kondado? ▼

Kondado replicates AWS CloudWatch Metrics data directly to Power BI, Looker Studio, and Google Sheets. This gives business users the flexibility to choose the platform their team already knows, whether they need advanced BI features or simple collaborative spreadsheets.

How often does AWS CloudWatch Metrics data update in my reports? ▼

You choose the refresh frequency when setting up your pipeline, with options ranging from every five minutes to daily updates. This configurable schedule ensures your dashboards stay current based on how closely you need to track performance and operational changes.

How do I deploy a new AWS CloudWatch Metrics dashboard using Kondado? ▼

Start by selecting a blank report template inside your preferred BI tool, then connect your AWS CloudWatch Metrics account through Kondado’s guided setup to establish the data pipeline. Once the pipeline runs, your metrics populate the dashboard automatically, and you can adjust visuals and filters without any coding.

Can I combine AWS CloudWatch Metrics with other data sources in one report? ▼

Yes, you can blend AWS CloudWatch Metrics with additional pipelines from over 80 supported sources directly inside Power BI, Looker Studio, or Google Sheets. This lets you correlate infrastructure performance with business outcomes like sales, marketing spend, or customer support volume in a single unified view.

What types of AWS CloudWatch Metrics can I include in my dashboards? ▼

You can replicate standard metrics such as CPU utilization, network traffic, disk I/O, and request counts from services like EC2, Lambda, and RDS, as well as custom application metrics published to CloudWatch. This breadth allows operations and business teams to monitor both infrastructure health and application-specific KPIs in one place.

Do I need technical skills to build an AWS CloudWatch Metrics dashboard with Kondado? ▼

No coding is required to set up the pipeline or design your dashboards, so business users, marketers, and operations teams can work independently. Kondado handles the data replication while you focus on choosing the metrics and visuals that tell the best story for your stakeholders.