AWS Service Quotas Replicator: Simplifying Multi-Account/Region Quota Management

AWS Quota Replicator(AQR) GitHub repository - sample-service-quotas-replicator-for-aws

Note: This tool is provided as a sample and is not an official AWS service. It is designed to demonstrate how to build solutions for comparing and managing service quotas across AWS accounts and regions.

Managing AWS service quotas across multiple accounts and regions has always been challenging. Today, we're excited to introduce the AWS Service Quotas Replicator (AQR), an open-source tool that helps you compare, align, and manage service quotas across your AWS environments with ease.

The Challenge: Inconsistent Service Quotas

AWS service quotas define the maximum values for resources, operations, and API requests in your accounts. When these quotas aren't consistent across environments, you might encounter:

Failed deployments during critical migrations
Unexpected scaling limitations during peak traffic periods
Service disruptions affecting customer experience
Inconsistent behavior between development and production environments
Disaster recovery failures due to quota constraints in failover regions

Organizations typically discover these issues at the worst possible time—during production deployments or when trying to scale during high-demand periods.

The Solution: AWS Service Quotas Replicator

AQR provides a visual, streamlined approach to quota management through a Streamlit-based web interface that allows you to:

Compare quotas between any two AWS accounts/regions
Identify discrepancies at a glance with intuitive visual indicators
Request quota increases with just a few clicks
Track the status of your quota requests in real-time

Key Features

Instant Quota Visibility: Compare thousands of quotas across accounts/regions in seconds with color-coded difference highlighting
Effortless Quota Alignment: Select multiple quotas and request increases with a single click—no more manual case creation
Intelligent Caching: Dramatically faster quota retrieval with smart caching that significantly reduces API calls
Actionable Insights: Quickly identify critical quota gaps with powerful filtering and sorting capabilities

Real-World Use Cases

Account Migration: Prevent deployment failures by aligning quotas before migrating workloads
Environment Parity: Eliminate "works in dev, fails in prod" scenarios with consistent quotas
Multi-Region Deployments: Ensure uniform quota configurations across global infrastructure
Disaster Recovery: Verify DR regions have identical limits for smooth failover
Capacity Planning: Identify constraints before they impact scaling during peak periods

Getting Started in 3 Simple Steps

Clone the sample-service-quotas-replicator-for-aws repository

Install dependencies

Ensure AWS credentials are configured in ~/.aws/credentials and ~/.aws/config as described in the Configuration and credential file settings in the AWS CLI documentation for source and destination accounts.
Launch the application

Required Permissions

The tool requires AWS profiles with the following permissions:

For both source and destination profiles:

servicequotas:ListServices
servicequotas:ListServiceQuotas
servicequotas:ListAWSDefaultServiceQuotas

For destination profile only:

servicequotas:RequestServiceQuotaIncrease

Built with Amazon Q Developer

AQR was proudly built with assistance from Amazon Q Developer, showcasing how AI-assisted development can help create powerful, well-structured tools for AWS environments.

Take Control of Your AWS Service Quotas

The AWS Service Quotas Replicator transforms quota management from a manual, error-prone process into a streamlined, visual experience. By providing clear visibility into quota differences and simplifying increase requests, it helps you maintain consistent environments and ensure operational stability across your AWS footprint.
Explore the AWS Service Quotas Replicator on GitHub and take control of your AWS service quotas across accounts and regions today.

Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.

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