Amazon ElastiCache
Featured Content
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Build an ultra-low latency online feature store for real-time inferencing
In this post, we explore how our customers are building online feature stores on AWS with Amazon ElastiCache for Redis to support mission-critical ML use cases that require ultra-low latency. We will cover reference architecture including a sample use case based on a real-time loan approval application that makes online predictions based on a customer's credit scoring model using features stored in an online feature store powered by ElastiCache for Redis.
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Accelerating your Database Modernization journey with Deloitte on AWS
The goal is to provide a strategy on how to modernize their applications and data workloads using AWS purpose-built database services.
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Optimize cost and boost performance of RDS for MySQL using Amazon ElastiCache for Redis
Improving application performance enables our customers to better serve their external and internal customers through better response times. In-memory caching of query results helps in boosting application performance while providing customers the ability to grow their business and expand their market footprint cost effectively.
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Amazon ElastiCache Serverless for Redis and Memcached is now available
Learn about the availability of Amazon ElastiCache Serverless, a new serverless option that allows customers to create a cache in under a minute and instantly scale capacity based on application traffic patterns. ElastiCache Serverless is compatible with two popular open-source caching solutions, Redis and Memcached.
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DBS Bank Uses Amazon ElastiCache for Redis to Run Its Pricing Models at Near Real-Time Speed
In recent years, DBS migrated its Quant Pricing Engine (QPE) to Amazon Web Services (AWS) to offer near real-time pricing with a dynamic workload for its customers. Using this innovative pricing solution, DBS processes data on a massive scale on demand and generates responses from its pricing models at a fast speed.
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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.
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Solutions for building modern applications with Amazon ElastiCache and Amazon MemoryDB for Redis
In this In-Memory Database Bluebook, we provide you with a list of Amazon ElastiCache and Amazon MemoryDB for Redis code samples and projects, available in our GitHub repo, that provide prescriptive solutions to specific customer problems and requirements.
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How Coupa migrated from a self-hosted Redis to fully managed Amazon ElastiCache
In this post, we detail why Coupa chose to migrate their self-managed Redis workloads to Amazon ElastiCache for Redis. We discuss details such as the benefits achieved, the migration journey, and the architectures involved.
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Powering recommendation models using Amazon ElastiCache for Redis at Coffee Meets Bagel
Redis is often thought of as a cache, but with all the capabilities it offers, the team at Coffee Meets Bagel consider it to be a first class database. All of thier recommendations, exclusion lists, and mission-critical queues are implemented using a combination of Redis and small Python scripts.
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Building resiliency at scale at Tinder with Amazon ElastiCache
Learn how Tinder was able to gain immediate and dramatic gains in scalability and stability by migrating to ElastiCache.
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How Wiz used Amazon ElastiCache to improve performance and reduce costs
As Wiz continues to grow, they faced significant challenges on how to maintain and scale efficiently. In this post, learn about a technical challenge and solution using Amazon ElastiCache that has improved both their business efficiency and the value they provide to their customers.
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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.
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