How does Kondado replicate AWS CloudWatch Metrics to Amazon S3?

Kondado connects directly to the CloudWatch API to extract your specified metrics on your chosen schedule. The platform then transforms and loads this time-series data into your designated Amazon S3 bucket, organizing files for optimal query performance with analytics engines. You configure which namespaces and metric dimensions to replicate during the initial setup.

What is the difference between the Incremental and Moving Window pipelines?

The Métricas (Incremental) pipeline retrieves only new data points since the previous execution, building a comprehensive historical dataset efficiently. The Métricas (Janela Móvel) pipeline fetches metrics within a sliding time window you define, ideal for operational dashboards that focus on recent performance trends rather than full history.

How often can I update my CloudWatch Metrics data in Amazon S3?

You can configure updates to run as frequently as every five minutes or extend intervals to hourly or daily schedules based on your analysis needs. This flexibility allows you to balance data freshness with storage costs and query performance for your Amazon S3 analytics workload.

What file format does Kondado use when storing CloudWatch Metrics in Amazon S3?

Kondado stores your metrics in structured file formats optimized for Amazon S3 analytics tools like Athena and Presto. The data arrives partitioned and organized by timestamp and metric namespace, enabling efficient querying across large time-series datasets without scanning unnecessary files.

Can I combine CloudWatch Metrics data with other AWS sources in Amazon S3?

Yes, you can consolidate CloudWatch Metrics with billing data, application logs, or RDS performance insights stored in the same Amazon S3 bucket. This unified storage approach enables cross-functional analysis, such as correlating CPU utilization spikes with specific application events or cost centers, before visualizing in Power BI or BigQuery .

Do I need to write code to set up the CloudWatch Metrics to S3 replication?

No coding is required to establish the connection between CloudWatch Metrics and Amazon S3. Kondado provides a visual interface where you authenticate your AWS credentials, select your preferred pipelines, and define your update schedule without writing API calls or ETL scripts.

Can I send CloudWatch Metrics from Amazon S3 to business intelligence tools?

Absolutely, after landing in Amazon S3, your metrics can flow into visualization platforms like Power BI , Looker Studio , or BigQuery . You can also connect the data to PostgreSQL or Google Sheets for different analytical perspectives across your organization.

What happens if my CloudWatch Metrics data source has new metrics added?

When new metrics or dimensions appear in your CloudWatch namespace, Kondado automatically detects and includes them in subsequent replication cycles. The platform adapts the schema dynamically to accommodate additional instance IDs, custom application metrics, or new AWS service monitoring without manual pipeline reconfiguration.

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Send AWS CloudWatch Metrics to Amazon S3

How to send AWS CloudWatch Metrics data to Amazon S3? Kondado provides a no-code solution that replicates your monitoring data on a configurable schedule without requiring engineering resources. Simply connect your AWS CloudWatch Metrics data source, select Amazon S3 as your destination, and choose your preferred update frequency from every five minutes to daily intervals. The platform handles the data extraction, schema mapping, and loading automatically, requiring no coding or manual intervention from your analytics team.

Kondado replicates AWS CloudWatch Metrics to Amazon S3 on a configurable schedule, supporting incremental loads and moving time windows to ensure your monitoring data stays current for infrastructure analysis and performance tracking.

Once in Amazon S3, your time-series metrics become immediately accessible for querying with Athena, Presto, or Dremio, enabling you to build custom operational dashboards and correlate infrastructure performance with business metrics without managing complex data pipelines.

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Available Pipelines

Kondado offers two specialized pipelines for AWS CloudWatch Metrics replication to support different analytical needs. The Métricas (Incremental) pipeline captures new metrics since your last execution, perfect for building comprehensive historical performance baselines in Amazon S3 that track long-term infrastructure trends. Alternatively, the Métricas (Janela Móvel) pipeline retrieves data within a configurable moving time window, enabling you to analyze recent operational patterns alongside current system health. Once stored in Amazon S3, you can combine this monitoring data with billing information or application logs to create unified operational reports in Power BI or Looker Studio, or feed directly into BigQuery for advanced analytics.

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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.

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 →

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How to send AWS CloudWatch Metrics data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect AWS CloudWatch Metrics

Authenticate your AWS CloudWatch Metrics data source by providing your AWS access credentials and selecting the specific regions and namespaces you want to replicate to Amazon S3.

Configure Amazon S3 destination

Specify your target S3 bucket, folder structure, and file naming conventions to ensure your metrics data lands in the optimal location for downstream analytics tools.

Select pipelines and schedule

Choose between the Métricas (Incremental) or Métricas (Janela Móvel) pipelines and set your preferred update frequency, from every five minutes to daily intervals, to keep your Amazon S3 data current.

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