Connect AWS CloudWatch Metrics to Qlik Sense: Dashboards in Minutes

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AWS CloudWatch Metrics
Qlik Sense

Visualize AWS CloudWatch Metrics in Qlik Sense

How to visualize AWS CloudWatch Metrics in Qlik Sense? Kondado offers a straightforward way to replicate your cloud monitoring data directly into Qlik Sense, eliminating the need for complex technical setup or intermediate storage systems. You can connect your AWS environment and start accessing performance metrics, availability statistics, and health indicators within minutes. This empowers business teams to transform raw infrastructure data into actionable visualizations that drive operational decisions.

With Kondado, marketing teams, operations managers, and business analysts can monitor website performance, server utilization, and application health without relying on technical specialists. The platform handles the data replication process automatically, ensuring your Qlik Sense dashboards reflect current operational conditions. You gain immediate visibility into resource consumption patterns and system behavior through intuitive charts and graphs.

Kondado connects AWS CloudWatch Metrics to Qlik Sense via a direct integration, allowing you to replicate data on a configurable schedule ranging from every 5 minutes to daily updates, with no coding required.

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

You can access specific pipelines such as Metrics (Incremental) for tracking data collected since your last update, or Metrics (Moving Window) for analyzing metrics within a specific time frame you define. This combination allows operations teams to create custom dashboards showing CPU utilization trends, memory consumption patterns, or application latency over time. By visualizing this data in Qlik Sense, you can identify performance bottlenecks, predict resource needs, and optimize your AWS infrastructure spending. Business users gain clear insights into application availability and system health to support proactive operational decisions.

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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 Qlik Sense

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 performance indicators you want to monitor.

2
Select Qlik Sense destination

Choose Qlik Sense as your target platform to receive the replicated metrics data for visualization and analysis.

3
Build dashboards and configure refresh

Create visualizations in Qlik Sense showing your key performance indicators, then set automated updates to keep your reports current on your chosen schedule.

Access AWS CloudWatch Metrics data in Qlik Sense 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 Qlik Sense automatically

How do I connect AWS CloudWatch Metrics to Qlik Sense using Kondado?
Start by adding AWS CloudWatch Metrics as a data source in your Kondado account, then authenticate with your AWS credentials. Select the specific metrics you want to monitor and choose Qlik Sense as your destination. The connection requires no intermediate databases or complex configuration.
What types of dashboards can I build with AWS CloudWatch Metrics in Qlik Sense?
You can create operational dashboards showing EC2 instance performance, RDS database health, or Lambda function execution rates. Business teams often build reports tracking application availability, response times, and resource utilization trends to support capacity planning decisions. These visualizations help identify when you need to scale resources or investigate performance issues.
How often does the data update in my Qlik Sense dashboards?
You configure the update frequency based on your business needs, choosing from intervals as frequent as every 5 minutes or extending to daily updates. This configurable schedule ensures your dashboards display current operational data without manual intervention. The system replicates new metrics automatically according to your selected timeframe.
Which KPIs should I track from AWS CloudWatch Metrics for my business?
Common KPIs include CPU utilization percentages, memory usage statistics, network traffic volumes, and application error rates. Operations teams typically monitor disk I/O metrics and request latency to ensure optimal user experiences. You can also track custom application metrics that you have defined within your AWS environment.
Can I share my AWS CloudWatch Metrics dashboards with my team in Qlik Sense?
Once your data is in Qlik Sense, you can distribute dashboards to stakeholders across your organization using the platform's standard sharing features. Team members can view reports, apply filters, and explore metrics without needing access to your AWS console. This democratizes infrastructure visibility for marketing, finance, and operations teams.
Do I need technical skills to set up the AWS CloudWatch Metrics connection?
No coding is required to establish the connection between AWS CloudWatch Metrics and Qlik Sense through Kondado. The setup process involves simple point-and-click configuration where you select your desired metrics and destination. Business users can complete the initial connection in minutes without assistance from IT departments.
What is the difference between the incremental and moving window pipelines?
The Metrics (Incremental) pipeline captures only new data since your last scheduled update, making it efficient for tracking ongoing trends. The Metrics (Moving Window) pipeline retrieves data within a specific time range you define, useful for analyzing recent performance history. You can use both pipelines simultaneously to support different analytical needs in your Qlik Sense reports.

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