Send data from AWS CloudWatch Metrics to PostgreSQL

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Send AWS CloudWatch Metrics to PostgreSQL

Sending AWS CloudWatch Metrics data to PostgreSQL is straightforward with Kondado’s automated replication platform. Connect your AWS account as a data source, authenticate with your credentials, and choose which metric pipelines to replicate. Kondado extracts your infrastructure monitoring data and loads it into PostgreSQL on your chosen schedule, eliminating manual CSV exports and complex API scripting. Your time-series metrics arrive ready for analysis, enabling you to build custom dashboards and performance reports directly from your database without engineering overhead. Once in PostgreSQL, you can correlate CloudWatch data with business metrics from other sources for comprehensive infrastructure intelligence.

Kondado replicates AWS CloudWatch Metrics to PostgreSQL on a configurable schedule ranging from every 5 minutes to daily updates. The platform supports both incremental and moving window metric pipelines, delivering automated AWS infrastructure monitoring data directly to your PostgreSQL database for immediate analysis and reporting.

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

Available Pipelines

Kondado offers two specialized pipelines for AWS CloudWatch Metrics replication to PostgreSQL. The Métricas (Incremental) pipeline captures new metrics collected since your last execution, perfect for tracking cumulative resource utilization and long-term trend analysis. For operational monitoring that requires recent context, the Métricas (Janela Móvel) pipeline delivers metrics within a configurable time window, enabling you to analyze sliding periods of performance data.

With your CloudWatch data in PostgreSQL, you can create custom SQL queries to identify performance bottlenecks, set up automated alerts for threshold violations, and join infrastructure metrics with application logs or business data. This enables comprehensive cost optimization analysis and proactive capacity planning using standard PostgreSQL tools and Power BI or Looker Studio connections.

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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 PostgreSQL

Sync data automatically — no code, no manual exports.

1
Connect AWS CloudWatch Metrics

Enter your AWS access keys and region in Kondado to establish a secure connection to your AWS CloudWatch Metrics account. Select the specific namespaces and metric dimensions you want to replicate to your database.

2
Configure PostgreSQL

Provide your PostgreSQL connection details including host, port, database name, and credentials. Kondado will create the necessary schema to store your time-series CloudWatch data efficiently.

3
Select pipelines and schedule

Choose between the Métricas (Incremental) and Métricas (Janela Móvel) pipelines based on your analysis needs. Set your update frequency from 5 minutes to daily to keep your performance data current.

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Send data from AWS CloudWatch Metrics to other destinations

Looker Studio

AWS CloudWatch Metrics > Looker Studio
Power BI

AWS CloudWatch Metrics > Power BI
Other visualizations
Other visualizations
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 PostgreSQL automatically

How does AWS CloudWatch Metrics replication to PostgreSQL work? ▼
Kondado connects to your AWS account using secure authentication and queries the CloudWatch Metrics API on your configured schedule. The platform extracts time-series monitoring data and automatically loads it into your PostgreSQL database in a structured format. You select which metric pipelines to enable, and Kondado manages the data extraction, transformation, and loading process without requiring manual intervention.
What metrics data can I replicate from AWS CloudWatch to PostgreSQL? ▼
You can replicate any standard or custom metrics available in your AWS CloudWatch account, including EC2 CPU utilization, Lambda invocation counts, RDS database connections, and application-specific custom metrics. The AWS CloudWatch Metrics data source supports both AWS service metrics and custom namespace metrics you have defined. This includes dimensional data with timestamps, values, and metadata tags for comprehensive analysis.
How often can I update CloudWatch Metrics data in PostgreSQL? ▼
Kondado supports configurable replication schedules ranging from every 5 minutes for near-real-time monitoring to hourly or daily updates for trend analysis. You can set different frequencies for different pipelines, updating critical infrastructure metrics every 15 minutes while refreshing cost metrics daily. The schedule runs automatically once configured, keeping your PostgreSQL database current without manual triggers.
What is the difference between Incremental and Moving Window metric pipelines? ▼
The Métricas (Incremental) pipeline retrieves only new data points collected since the last successful replication, optimizing for historical trend storage and reducing API calls. The Métricas (Janela Móvel) pipeline fetches metrics within a sliding time window you configure, such as the last 24 hours or 7 days, ensuring recent data is always available for operational dashboards. Choose Incremental for data warehousing and Moving Window for live operational monitoring.
Can I combine AWS CloudWatch Metrics with other data sources in PostgreSQL? ▼
Yes, once your CloudWatch data resides in PostgreSQL, you can join it with data from other sources like Salesforce, Google Analytics, or MySQL using standard SQL joins. This enables correlation between infrastructure performance and business outcomes, such as linking server CPU spikes to conversion rate drops. Create unified reports in Looker Studio or Power BI that blend technical metrics with marketing and sales data.
What format does CloudWatch Metrics data have in PostgreSQL? ▼
CloudWatch Metrics arrive in PostgreSQL as structured time-series data with columns for timestamp, metric name, namespace, dimensions, and numeric values. Kondado preserves the dimensional attributes that organize your AWS metrics, allowing you to filter by instance ID, service type, or custom tags using standard SQL WHERE clauses. The data format supports aggregation queries, time-series analysis, and integration with PostgreSQL's advanced analytical functions.
Do I need coding skills to replicate CloudWatch Metrics to PostgreSQL? ▼
No coding is required to set up the replication, as Kondado provides a no-code interface for configuring your AWS CloudWatch Metrics connection and selecting pipelines. You configure the replication through a visual interface by entering your AWS credentials and choosing your metrics. Once running, the automated pipeline delivers data to PostgreSQL without requiring SQL scripting or API programming from your team.

Try out all the features for free for 14 days