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How to Monitor AWS Service Quotas Across All Accounts and Regions

Managing AWS service quotas is essential for ensuring smooth cloud operations. AWS Service Quotas help administrators track and manage resource limits, preventing unexpected service disruptions due to quota exhaustion.
As organizations scale and adopt multi-account and multi-region architectures, monitoring service quotas across an entire environment becomes more complex. AWS’s Quota Monitor solution, while helpful, has several limitations:
  • No historical tracking – Provides only real-time data, making trend analysis difficult.
  • Limited contextual insights – Does not correlate quota usage with broader operational data.
  • No built-in automation for alerts or dashboards – Only sends notifications with no deep reporting or visualization.

A Better Way to Monitor Your Services Quotas #

For organizations that need multi-account visibility, historical tracking, and more flexible querying, CloudQuery provides a powerful alternative by syncing AWS Service Quota utilization data across all accounts and regions. With CloudQuery, teams can:
  • Query quotas across all AWS accounts and regions in a single, centralized view.
  • Retain historical data to track trends and proactively manage quota limits.
  • Automate alerts and build dashboards for real-time visibility and reporting.
  • Use SQL-based queries to extract exactly the data needed for decision-making.
A centralized view of AWS Service Quotas helps teams prevent disruptions, automate alerts, analyze trends, and optimize resources. With CloudQuery, organizations can track usage, forecast demand, and integrate with BI tools for real-time monitoring.

How to Sync Your AWS Service Quotas Data #

Follow these steps to set up CloudQuery and sync your AWS data:

Sign Up for CloudQuery #

Set Up Your Data Sync #

Configure a new sync using the AWS Source Integration. Be sure that you are syncing the `aws_servicequotas_quota_utilizations` table with CloudQuery.

Run Your Data Sync #

Click the “Run Sync” button to pull your AWS data into CloudQuery.

Querying AWS Service Quotas with CloudQuery #

With CloudQuery, you can easily retrieve AWS Service Quotas across all accounts and regions using SQL. Below is an example query you can use in CloudQuery’s SQL Console to identify quotas with high utilization:
WITH latest_usage AS (
    SELECT
        MAX(timestamp) AS ts,
        _cq_parent_id AS id
    FROM aws_servicequotas_quota_utilizations
    GROUP BY _cq_parent_id
)
SELECT
    asqu.*,
    asq.service_code,
    asq.quota_name
FROM aws_servicequotas_quota_utilizations asqu
JOIN latest_usage ON latest_usage.ts = asqu.timestamp
                 AND latest_usage.id = asqu._cq_parent_id
JOIN aws_servicequotas_quotas asq ON latest_usage.id = asq._cq_id
WHERE asqu.usage_percentage > 0
ORDER BY asqu.usage_percentage DESC
LIMIT 100;
This query finds the most recent AWS Service Quota usage data across all accounts and regions, joins it with quota details, and lists the top 100 quotas with the highest usage, helping you identify limits that may impact your workloads.

Wrap Up #

Monitoring AWS Service Quotas is essential for avoiding service disruptions, optimizing resource allocation, and ensuring smooth cloud operations. While AWS provides basic tools for quota tracking, CloudQuery offers a more powerful, flexible, and scalable solution by enabling multi-account visibility, historical trend analysis, and customizable queries.
With CloudQuery, you can proactively manage quotas, set up automated alerts, and build insightful dashboards to keep your cloud environment running smoothly.
If you haven’t already, get started with CloudQuery today to enhance your cloud visibility.
Have questions or need help? Join the CloudQuery Developer Community to connect with other users, share insights, and get support. Let us know how your team is tackling cloud security by engaging with us on LinkedIn, or X.
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