Tag: Amazon ElastiCache

In this post, I describe a simple way to transfer data from ElastiCache for Redis clusters to other AWS database services using AWS Lambda functions.

Monitoring is an important part of maintaining the reliability, availability, and performance of your Amazon ElastiCache resources. This post shows you how to maintain a healthy Redis cluster and prevent disruption using Amazon CloudWatch and other external tools. We also discuss methods to anticipate and forecast scaling needs.

This post discusses the process to determine the right node size and cluster topology for your Amazon ElastiCache workloads, and the important factors to consider. This post assumes you have a good knowledge of Redis and its commands and have an understanding of Amazon ElastiCache for Redis and its features such as online cluster resizing, […]

This is a guest post from William Youngs, Software Engineer, Daniel Alkalai, Senior Software Engineer, and Jun-young Kwak, Senior Engineering Manager with Tinder. Tinder was introduced on a college campus in 2012 and is the world’s most popular app for meeting new people. It has been downloaded more than 340 million times and is available […]

In this post, I will describe how you can leverage ElastiCache for Redis with cluster mode enabled to enhance reliability and availability with little change to your existing workload. Cluster Mode comes with the primary benefit of horizontal scaling up and down of your Redis cluster, with almost zero impact on the performance of the cluster, as I will demonstrate later. If you have ever encountered a Redis cluster that is over or under-provisioned or just want to better understand its inner workings, please read on.

This is a guest blog post by Erik Brandsberg, CTO at Heimdall Data, in partnership with AWS Technical Evangelist Darin Briskman. Heimdall Data is an AWS Advanced Technology partner who in their own words “offers a database proxy on the AWS Marketplace that supports SQL query caching into Amazon ElastiCache for Redis without code changes. […]

Gaming leaderboards enable players to gauge their performance against each other. This important social feature increases players’ engagement and encourages competition. Leaderboard data can also inform in-game algorithms that match players against competitors of similar skill levels. In this post, I explore the challenges around building and scaling gaming leaderboards using traditional relational databases. I […]

This post was updated 3/10/2021 to include additional features and enhancements to Amazon ElastiCache for Redis. Amazon ElastiCache has become synonymous with real-time applications. Redis’ high performance, simplicity, and support for diverse data structures have made it one of the most popular non-relational key value stores. With the growth of business-critical, real-time use cases on […]

Coffee Meets Bagel (CMB) is a dating application that serves potential matches to over 1.5 million users daily. Our motto is “quality over quantity” because we focus on bringing a fun, safe, and quality dating experience that results in meaningful relationships. To deliver on these promises, every match we serve has to fulfill a strict […]

In Amazon ElastiCache for Redis, your applications use the provided endpoints to connect to an ElastiCache node or cluster. According to Amazon ElastiCache for Redis Components and Features in the ElastiCache for Redis User Guide, a multiple-node Redis (cluster mode disabled) cluster has two kinds of endpoints: “The primary endpoint always connects to the primary […]