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Performance Efficiency

The Performance Efficiency pillar includes the ability to use computing resources efficiently to meet system requirements, and to maintain that efficiency as demand changes and technologies evolve.

Key Areas

The Performance Efficiency pillar includes the following key areas:

  • Selection - Choosing the right compute, storage, database, and networking solutions
  • Review - Continuously evaluating new services and technologies
  • Monitoring - Ensuring resources are performing as expected
  • Tradeoffs - Using caching, partitioning, and other techniques to improve performance

Questions

PERF01 7 best practices
How do you select appropriate cloud resources and architecture for your workload?
BP01 Learn about and understand available cloud services and features BP02 Use guidance from your cloud provider or an appropriate partner to learn about architecture patterns and best practices BP03 Factor cost into architectural decisions BP04 Evaluate how trade-offs impact customers and architecture efficiency BP05 Use policies and reference architectures BP06 Use benchmarking to drive architectural decisions BP07 Use a data-driven approach for architectural choices
PERF02 6 best practices
How do you select and use compute resources in your workload?
BP01 Select the best compute options for your workload BP02 Understand the available compute configuration and features BP03 Collect compute-related metrics BP04 Configure and right-size compute resources BP05 Scale your compute resources dynamically BP06 Use optimized hardware-based compute accelerators
PERF03 5 best practices
How do you store, manage, and access data in your workload?
BP01 Use a purpose-built data store that best supports your data access and storage requirements BP02 Evaluate available configuration options for data store BP03 Collect and record data store performance metrics BP04 Implement strategies to improve query performance in data store BP05 Implement data access patterns that utilize caching
PERF04 7 best practices
How do you select and configure networking resources in your workload?
BP01 Understand how networking impacts performance BP02 Evaluate available networking features BP03 Choose appropriate dedicated connectivity or VPN for your workload BP04 Use load balancing to distribute traffic across multiple resources BP05 Choose network protocols to improve performance BP06 Choose your workload's location based on network requirements BP07 Optimize network configuration based on metrics
PERF05 7 best practices
How do your organizational practices and culture contribute to performance efficiency in your workload?
BP01 Establish key performance indicators (KPIs) to measure workload health and performance BP02 Use monitoring solutions to understand the areas where performance is most critical BP03 Define a process to improve workload performance BP04 Load test your workload BP05 Use automation to proactively remediate performance-related issues BP06 Keep your workload and services up-to-date BP07 Review metrics at regular intervals

AWS services for Performance Efficiency

Amazon EC2

Secure, resizable compute capacity with the broadest choice of processors and instance types.

AWS Lambda

Run code without provisioning servers; scales automatically with demand.

Amazon CloudFront

Global content delivery network that accelerates delivery of data, videos, and APIs.

AWS Global Accelerator

Improves availability and performance of your applications for global users.

AWS Compute Optimizer

Recommends optimal AWS resources for your workloads based on utilization data.

Amazon ElastiCache

Fully managed in-memory caching to speed up data access.

Related resources