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Amazon ElastiCache
Traditional relational databases do not scale well horizontally, and even right-sized NoSQL databases can become a bottleneck under high traffic.
Most every web application, whether deployed directly on virtual machines, is containerized, or completely serverless, is using some variation of the three-tier design. This design includes a data layer, application layer, and presentation layer. As an application’s user base increases, there will be increased strain on the system. Resources in the presentation layer are generally located on users’ machines, and there are proven solutions for managing resources at the application layer, but what about at the data layer? Traditional relational databases do not scale well horizontally, and even right-sized NoSQL databases can become a bottleneck under high traffic.
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A good solution to this problem is in-memory caching. Your main data store, no matter the type, will persist data to disk for durability. In-memory caching can be used to store a subset of an application’s most frequently used data is stored in RAM. Memory can support a higher request rate, even than that of newer solid-state disks, which results in better application performance at scale. The data stored can be data already managed by your primary database, or items that don’t need to be persisted such as user sessions. Your applications perform better, all while reducing the load on your primary database.
Amazon ElastiCache for Redis is a fully-managed in-memory caching service for web-scale applications, providing microsecond read and write latency. These clusters can not only be easily deployed with the AWS console but can also be managed with your existing CI/CD processes. As this is a fully managed service, you don’t need to worry about managing any of the underlying infrastructure, AWS handles all of the updates, replication, and sharding involved with managing a highly-available in-memory data cluster. And when it comes time to really supercharge your application’s data layer, AWS offers Amazon Memory-DB for Redis. This is a fully managed service that durably stores all of your data in memory and offers microsecond read and single-digit millisecond writes.
Whether your goal is to revitalize your current applications data layer with a managed cache or come up with a new Memory-DB-backed microservices infrastructure, Trek10 can help you realize it. We have experience helping clients across multiple disciplines integrate the right caching solutions into their applications. Contact us to help you ensure that your application is really running at web scale!
