AWS Database Blog

Category: Amazon ElastiCache

Unlock on-demand, cost-optimized performance with Amazon ElastiCache Serverless

Amazon ElastiCache is a fully managed in-memory caching service, compatible with popular open source projects, Redis and Memcached. Hundreds of thousands of customers use it to achieve real-time, cost-optimized performance. We built Amazon ElastiCache Serverless to satisfy some of the most common customer wish-list items, including simplifying the setup process, eliminating capacity planning and management, […]

Solutions for building modern applications with Amazon ElastiCache and Amazon MemoryDB for Redis

In-memory databases are ideal for applications that require microsecond response times and high throughput, such as caching, gaming, session stores, geo-spatial services, queuing, real-time data analytics and feature stores for machine learning (ML). In this In-Memory Database Bluebook, we provide you with a list of Amazon ElastiCache and Amazon MemoryDB for Redis code samples and […]

Achieve over 500 million requests per second per cluster with Amazon ElastiCache for Redis 7.1

Amazon ElastiCache for Redis is a fully managed service compatible with the Redis API. ElastiCache is a fast in-memory data store, and many customers choose it to power some of their most performance-sensitive, real-time applications. Today, we are excited to share that you can now effectively maximize your performance by upgrading from ElastiCache for Redis […]

Optimize cost and boost performance of RDS for MySQL using Amazon ElastiCache for Redis

Customers often face the challenge of optimizing the cost of their database environments, while having to improve their application performance and response times, as both their data volumes and user base grow. Internet-scale applications that have large volumes of data and high volumes of throughput need underlying data architectures that can support microsecond latencies. Improving […]

Best practices for sizing your Amazon ElastiCache for Redis clusters

Amazon ElastiCache for Redis is a fully managed Redis- and Memcached-compatible service delivering real-time, cost-optimized performance for modern applications. It scales to hundreds of millions of operations per second with microsecond response time, and offers enterprise-grade security and reliability. You can scale ElastiCache for Redis seamlessly to accommodate changes in your application usage patterns. It […]

Working with geospatial data in Amazon ElastiCache for Redis

There are multiple examples of geospatial data use cases that most of us encounter on a daily basis. From maps, to weather, to tracking software on phones, geospatial data is all around us. In this post, we explore a use case of a ride sharing app and show the ease of working with geospatial data […]

Build an ultra-low latency online feature store for real-time inferencing using Amazon ElastiCache for Redis

Over the last several years, the growth of Machine Learning (ML) has changed the paradigm of how a business operates at its core, forcing the conversation of how to tightly integrate ML into critical decision points for a user. ML can help businesses by improving customer interactions, boosting sales, and improving operating efficiency. This can […]

Optimize the cost of your Amazon ElastiCache for Redis workloads

Customers often use a caching service like Amazon ElastiCache to boost application performance and scale. In this post, we go over 5 different recommendations to optimize the cost of your Amazon ElastiCache for Redis clusters. Amazon ElastiCache for Redis, a fully managed caching service, is a cost-effective solution that provides ultra-fast response for modern applications. […]

Accelerate graph query performance with caching in Amazon Neptune, Part 3: Neptune cluster-wide caching architectures with Amazon ElastiCache

Graph databases are uniquely designed to address query patterns focused on relationships within a given dataset. From a relational database perspective, graph traversals can be represented as a series of table joins, or recursive common table expressions (CTEs). Not only are these types of SQL query patterns computationally expensive and complex to write (especially for […]