EventBridge and Lambda provide a serverless model that enables you to build an event-driven architecture and automate workflows for quota management. The EventBridge automation invokes a Lambda function to capture usage data and quota values of various AWS services and resources at regular intervals. It also automates notifications to your cloud administrators so that they can perform remediation if needed. This approach reduces the operational burden of managing infrastructure and maintaining custom integrations.

This Guidance uses AWS Identity and Access Management (IAM) policies that are scoped down to the minimum permissions required for services to function properly. This limits unauthorized access to resources. Additionally, in a multi-account environment, this Guidance uses a cross-account EventBridge integration with scoped-down policies, permitting communication between spoke and management accounts only when needed.

Amazon SNS enables an event-driven architecture, and its built-in retry mechanism supports successful event delivery. Additionally, DynamoDB synchronously replicates data across three facilities in an AWS Region, providing high availability and data durability. As a result of this quota management automation, you can take quick corrective actions to prevent productivity impairments and downtime.

DynamoDB is a fully managed NoSQL database that provides fast, consistent performance at any scale. Lambda automatically scales resources up and down based on the demand, improving responsiveness. Together, they enable this Guidance to handle high event volume with low latency, without the need for you to manage traffic.

Lambda and DynamoDB are serverless and automatically scale to manage resource utilization, so you only need to pay for the resources consumed in serving requests. The event traffic in this Guidance is not continuous (instead occurring at configurable intervals), so a scalable model keeps idle resources from causing unnecessary costs.

Lambda and DynamoDB are serverless and support efficient, automatic resource scaling based on demand. By optimizing resource utilization and avoiding resource consumption while idle, these services reduce energy waste, all without requiring you to manage infrastructure.