Tag: ElastiCache for redis

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.

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 […]

Most often, when we discuss Amazon ElastiCache, it is in the context of enhancing the performance of read-heavy database workloads. We update our applications to employ a read-through or write-through pattern to keep data in the cache fresh and ease the burden on the database. When used in this context, ElastiCache accelerates your high volume […]

Sam Dengler is a Solutions Architect at Amazon Web Services In this blog post, we review concepts and architectural patterns relevant to a chat application. We also discuss implementation details for a chat client and server, and instructions to deploy a sample chat application into your AWS account. Background information Building a chat application requires […]

Darin Briskman is a developer evangelist at Amazon Web Services. You can reach him @briskmad “Trust, but verify.” — U. S. President Ronald Reagan, 1987 In this comment, President Reagan quoted a Russian proverb to describe his philosophy for nuclear disarmament treaties. But the same philosophy also applies well to DevOps! Amazon ElastiCache for Redis […]

Clusters provide a lot of capabilities in Amazon ElastiCache for Redis. Using autosharding to distribute data across the shards of a cluster enables high performance (over 4.5m writes/sec and 20m reads/sec, with each operation typically under 500µs) and high capacity (up to 3.5TiB of data) with high reliability and with recovery of failed nodes usually […]

Darin Briskman (@briskmad) is a developer evangelist for Amazon Web Services. We hope you enjoy this guest post from Joel Hensley, Engineering Director for the Community Tribe at Hudl, a leading software company that is revolutionizing the way coaches and athletes prepare for and stay ahead of the competition. You can reach Joel @fusbal. Hudl […]