Organizations often face the challenge of balancing application performance and cost optimization to deliver an optimal user experience while maintaining control over budgets. Performance & Cost Optimization solutions on AWS result in reduced latency, increased accessibility, automated monitoring and management, and optimized data flow and storage, all while maintaining cost-effectiveness. Organizations can use these solutions to improve profitability by enhancing application performance, providing faster data access times for users, and increasing operational efficiency aligned with their unique needs.

Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Incremental Data Exports from Amazon DynamoDB to Amazon S3

    This Guidance shows how the Amazon DynamoDB continuous incremental exports feature can help capture and transfer ongoing data changes between DynamoDB tables.
  • Optimizing Cost of Amazon RDS for MySQL

    This Guidance demonstrates how you can optimize costs for applications that access Amazon Relational Database Service (Amazon RDS) for MySQL databases.
  • Incremental Data Exports on AWS

    This Guidance demonstrates a robust approach to incrementally export and maintain a centralized data repository reflecting ongoing changes in a distributed database.
  • Handling Data during Traffic Spikes on AWS

    This Guidance shows how to handle sudden traffic spikes in Amazon Aurora using a mixed-configuration architecture that combines a provisioned Aurora cluster with Aurora Serverless v2 instances and custom auto-scaling.
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