AWS Database Blog
Category: Amazon ElastiCache
Boosting application performance and reducing costs with Amazon ElastiCache for Redis
Contributed by Senior Software Development Engineer, Shawn Wang, Software Development Engineer, Maddy Olson, and Senior Manager, Software Engineering, Itay Maoz. Amazon ElastiCache for Redis helps customers achieve extreme performance with very low latencies at cloud scale and minimal management costs. Redis’s high performance, simplicity, and support for diverse data structures have made it the most […]
Read MorePowering recommendation models using Amazon ElastiCache for Redis at Coffee Meets Bagel
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 […]
Read MoreThe most-viewed AWS Database Blog posts in 2018
The following 10 posts were the most viewed AWS Database Blog posts that we published during 2018. You can use this list as a guide to catch up on your Database Blog reading, or read a post again that you found particularly useful. Query your AWS database from your serverless application How the AWS Schema […]
Read MoreMonitor Amazon ElastiCache for Redis (cluster mode disabled) read replica endpoints using AWS Lambda, Amazon Route 53, and Amazon SNS
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 […]
Read MoreHow to build a real-time sales analytics dashboard with Amazon ElastiCache for Redis
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 […]
Read MoreLatency reduction of hybrid architectures with Amazon ElastiCache
A challenge that some organizations face when moving to the cloud is how best to migrate or integrate old legacy infrastructure with restrictive licensing to an environment that offers a breadth of functionality and pay-as-you-go pricing. AWS provides many options to help customers in their analysis and planning. One common approach is to establish a […]
Read MoreManaging Amazon ElastiCache with Terraform
Nic Jackson is Developer Advocate at HashiCorp. Developers continue to pick Redis as their favorite NoSQL data store (see the Stack Overflow Developer Survey 2017). Amazon ElastiCache provides easy, fast, and highly available Redis on AWS. ElastiCache for Redis can be deployed via the AWS Management Console, AWS SDK, Amazon ElastiCache API, AWS CloudFormation, and […]
Read MoreHow to Build a Chat Application with Amazon ElastiCache for Redis
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 […]
Read MoreTesting Automatic Failover to a Read Replica on Amazon ElastiCache for Redis
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 […]
Read MoreElastiCache for Redis Backup and Restore with Cluster Resizing
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 […]
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