SCPERF03-BP03 Use cache memory to help improve the performance
Cache memory provides improved latency of the application when accessed outside of the solution-hosted Regions.
Desired outcome: Low latency of the application when accessed outside of designated Regions.
Benefits of establishing this best practice: Better throughput, low latency, reduced power consumption, improved reliability, and increased scalability.
Level of risk exposed if this best practice is not established: High
Implementation guidance
While considering using the cache memory for your supply chain solutions, you can architect the solution to use caching services to improve performance. Store frequently used data in memory or bring the data closer to consumers. Many AWS services offer features for caching or dedicated services including Amazon ElastiCache, and Amazon File Cache. For example, frequently accessed inventory data should be stored in cache memory, with time-to-live (TTL) settings configured to align with the data's update frequency and usage patterns. In this case, data caching solutions (Redis Cache or MemoryDB) are important to quickly access last available data with low latency (200 milliseconds or less) interval.
Implementation steps
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Identify frequently accessed supply chain data that would benefit from caching, such as inventory levels, product information, and pricing data.
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Implement Amazon ElastiCache with Redis or Memcached to cache frequently accessed data and reduce database load.
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Configure appropriate TTL settings for cached data based on update frequency and business requirements for data freshness.
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Deploy Amazon CloudFront for caching static content and API responses to improve global access performance.
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Implement cache invalidation strategies to maintain data consistency when underlying data changes.
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Monitor cache performance metrics and optimize cache configurations to maximize hit rates and minimize latency.
