Learn about the benefits of caching with Amazon ElastiCache Serverless. Explore the features and scalability of Amazon Elastic Cache. Discover how ElastiCache Serverless eliminates unnecessary costs and automates capacity adjustment. Get recommendations on architecting applications with elastic cache serverless.
Amazon ElastiCache Serverless allows customers to create a cache in under a minute and instantly scale capacity based on application traffic patterns.
Elastic Cache Serverless simplifies cache deployment and management, automatically adjusting to application demands and providing a cost-effective option for fluctuating traffic.
Deep dives
Introduction to Elastic Cache
Elastic Cache is an ultra-fast performing data store that allows users to store frequently accessed data, such as customer preferences or login info, for quick and cheap access. It is used to improve application performance, scale operations, and potentially save money on database costs for read-heavy applications. Elastic Cache offers microsecond latencies, scales quickly to millions of requests per second, and is a managed caching service that handles software deployments, hardware management, monitoring, security, and reliability.
Features of Amazon Elastic Cache
Amazon Elastic Cache is a premier caching service that is compatible with Redis and memcache, providing high-performance in-memory data storage. It offers low latency and is essential for applications that require fast performance and high scale, such as generative AI models with millions of features. Elastic Cache provides submillisecond latencies for reads and writes, scales quickly to meet application demands, and comes with managed services like software deployments, hardware management, and reliable operations.
Introduction to Elastic Cache Serverless
Elastic Cache Serverless is a new offering that simplifies the deployment and management of caches, allowing developers to focus on their application development rather than cache operations. With Elastic Cache Serverless, developers can simply provide a name for the cache, and AWS will deploy a highly scalable and highly available cache that automatically adjusts to application demands. It eliminates the need for hardware provisioning, choosing EC2 instances, and capacity planning by automatically handling scaling based on traffic patterns. Billing is based on usage, making it a cost-effective option for applications with fluctuating traffic.
In this episode, we’re diving deep into one of the recent announcements from AWS re:Invent, the release of Amazon ElasticCache Serverless. This new option allows customers to create a cache in under a minute and instantly scale capacity based on application traffic patterns. Jillian Forde is joined by Abhay Saxena (Principal Technical Product Manager for In-Memory databases) to learn more about ElastiCache Serverless. We talk about the benefits of caching and dive into ElastiCache Serverless features, common customer challenges, and why the team built the feature.
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