Send data from AWS CloudWatch Metrics to Google Sheets

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Send AWS CloudWatch Metrics to Google Sheets

Connect your AWS CloudWatch Metrics data source to Google Sheets using Kondado’s automated replication platform. Configure your pipeline to extract performance metrics, infrastructure health data, and application monitoring statistics without writing any code. Set your preferred update frequency to keep your spreadsheets current with near-real-time observability data from your AWS environment. Whether you are tracking EC2 utilization across multiple regions or monitoring Lambda function performance, Kondado delivers structured time-series data directly into your collaborative workspace.

Kondado automatically replicates AWS CloudWatch Metrics to Google Sheets on a configurable schedule, supporting both incremental metric collection and moving time window analysis with update frequencies ranging from every 5 minutes to daily.

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

Available pipelines

With the Metrics (Incremental) pipeline, you can track resource utilization trends over time in your spreadsheets, building custom capacity planning models directly in Google Sheets. The Metrics (Moving Window) pipeline delivers time-bound observability snapshots that let you analyze recent performance spikes alongside historical baselines for immediate troubleshooting. Combine these datasets to create dynamic monitoring dashboards that correlate current system health with long-term operational patterns, enabling your team to identify anomalies and optimize AWS resource allocation without switching between 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
See all available data →

Try out all the features for free for 14 days

How to send AWS CloudWatch Metrics data to Google Sheets

Sync data automatically — no code, no manual exports.

1
Connect AWS CloudWatch Metrics

Authenticate your AWS CloudWatch Metrics data source in Kondado by providing your AWS access credentials and selecting the appropriate region. Specify which CloudWatch namespaces and metric dimensions you want to make available for replication.

2
Configure Google Sheets destination

Select Google Sheets as your destination and authorize Kondado to access your Google Workspace account. Choose the target workbook and specify whether to create new sheets or append to existing tabs for your CloudWatch data.

3
Select pipelines and schedule

Choose between the Metrics (Incremental) or Metrics (Moving Window) pipelines based on your analysis needs, then set your update frequency from 5 minutes to daily. Activate the pipeline to begin automated replication of your AWS monitoring data.

Try out all the features for free for 14 days

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Send data from AWS CloudWatch Metrics to other destinations

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AWS CloudWatch Metrics > Looker Studio
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Amazon S3

AWS CloudWatch Metrics > Amazon S3
BigQuery

AWS CloudWatch Metrics > BigQuery
Excel

AWS CloudWatch Metrics > Excel
Google Sheets

AWS CloudWatch Metrics > Google Sheets
MySQL

AWS CloudWatch Metrics > MySQL
PostgreSQL

AWS CloudWatch Metrics > PostgreSQL
Redshift

AWS CloudWatch Metrics > Redshift
SQL Server

AWS CloudWatch Metrics > SQL Server

Choose a tool to visualize your AWS CloudWatch Metrics data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Airtable
AWS CloudWatch Metrics > Airtable
Alteryx
AWS CloudWatch Metrics > Alteryx
Amazon Quicksight
AWS CloudWatch Metrics > Amazon Quicksight
BIMachine
AWS CloudWatch Metrics > BIMachine
Cortex
AWS CloudWatch Metrics > Cortex
Data Studio
AWS CloudWatch Metrics > Data Studio
Geckoboard
AWS CloudWatch Metrics > Geckoboard
Grafana
AWS CloudWatch Metrics > Grafana
IBM Cognos Analytics
AWS CloudWatch Metrics > IBM Cognos Analytics
Klipfolio
AWS CloudWatch Metrics > Klipfolio
Looker Studio
AWS CloudWatch Metrics > Looker Studio
Looker
AWS CloudWatch Metrics > Looker
Looqbox
AWS CloudWatch Metrics > Looqbox
Metabase
AWS CloudWatch Metrics > Metabase
Microstrategy
AWS CloudWatch Metrics > Microstrategy
Pentaho
AWS CloudWatch Metrics > Pentaho
Power BI
AWS CloudWatch Metrics > Power BI
Qlik Cloud Analytics
AWS CloudWatch Metrics > Qlik Cloud Analytics
Qlik Sense
AWS CloudWatch Metrics > Qlik Sense
Qlik
AWS CloudWatch Metrics > Qlik
QlikView
AWS CloudWatch Metrics > QlikView
Redash
AWS CloudWatch Metrics > Redash
Superset
AWS CloudWatch Metrics > Superset
Tableau
AWS CloudWatch Metrics > Tableau
BI TOTVS
AWS CloudWatch Metrics > BI TOTVS
Zoho Analytics
AWS CloudWatch Metrics > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending AWS CloudWatch Metrics data to Google Sheets automatically

How does AWS CloudWatch Metrics replication to Google Sheets work? ▼
Kondado connects directly to your AWS CloudWatch Metrics data source using your AWS credentials to extract time-series monitoring data. The platform automatically structures this observability information into spreadsheet format and delivers it to your designated Google Sheets workbook on your chosen schedule. You configure which namespaces, metrics, and dimensions to include during the initial pipeline setup.
What specific CloudWatch metrics can I replicate to spreadsheets? ▼
You can replicate any custom or AWS service metrics available in your CloudWatch namespace, including EC2 CPU utilization, Lambda invocation counts, RDS database connections, and application-specific custom metrics. The Metrics (Incremental) pipeline captures new data points since the last execution, while the Metrics (Moving Window) pipeline retrieves metrics from a configurable recent time period. Both pipelines support dimensional filtering so you replicate only the specific resource metrics your analysis requires.
How often does CloudWatch data update in my Google Sheets? ▼
Update frequency is fully configurable based on your monitoring needs, ranging from every 5 minutes for active incident response to daily intervals for trend analysis. The schedule runs automatically once configured, appending new incremental data or refreshing moving window ranges without manual intervention. This automated approach ensures your operational reports always reflect current system performance without requiring manual exports from the AWS Console.
Can I combine CloudWatch metrics with other data sources in the same sheet? ▼
Yes, you can replicate data from multiple sources into the same Google Sheets workbook to create unified operational views. Combine CloudWatch infrastructure metrics with application logs from PostgreSQL, cost data from BigQuery, or business metrics from other platforms. This cross-source analysis helps correlate technical performance with business outcomes directly within your spreadsheet environment.
What format does CloudWatch metric data take in Google Sheets? ▼
Metrics arrive as structured time-series data with columns for timestamp, metric name, namespace, dimension values, and the actual data point statistics (Average, Sum, Minimum, Maximum, SampleCount). Each row represents a specific metric observation, making it easy to build pivot tables, chart trends, or apply spreadsheet formulas for custom calculations. The tabular format supports standard Google Sheets functions like VLOOKUP, QUERY, and array formulas for advanced analysis.
Can I replicate CloudWatch metrics from multiple AWS accounts or regions? ▼
Yes, you can configure separate pipelines for each AWS account or region you need to monitor, consolidating multi-account observability into a single analytical workspace. Each pipeline connects independently to its respective CloudWatch data source, allowing you to aggregate metrics from production, staging, and development environments. This centralized approach simplifies cross-account capacity planning and cost optimization analysis within your familiar spreadsheet interface.
How do I handle CloudWatch metrics with high cardinality or many dimensions? ▼
Kondado supports dimensional filtering during pipeline configuration, allowing you to specify exactly which metric dimensions to include or exclude before replication begins. You can also configure metric name patterns and namespace selections to focus on specific AWS services or custom application metrics. This selective approach ensures your Google Sheets receive relevant, manageable datasets rather than overwhelming volumes of raw telemetry.

Try out all the features for free for 14 days