Amazon ElastiCache customers

We use ElastiCache for Redis as a shared cache to an auto-scaling group of EC2 instances for our API management Platform, to get high availability and low latency. We wanted to have atomic increments as well as sorted sets. We were also concerned about availability and read performance across Multiple AZs. Because of these needs, we chose ElastiCache for Redis.

Managed services like ElastiCache let us focus on the core of our business. Our operations team consists of only two full time engineers. Running a site like Airbnb with such a small team would be impossible without services like ElastiCache. Spinning up and maintaining nodes in our cluster is fast and easy.

Amazon GameOn Achieves Ultra-Low Latency, Simple Change Processes Using Amazon DynamoDB and ElastiCache.

Cathay Pacific took advantage of Amazon ElastiCache to provide in-memory data caching to speed up web application performance and Amazon Simple Storage Service (Amazon S3) for storing the site’s static imagery.

For startup companies, time is really important. Not needing to perform management tasks, provision hardware, check software patches, and maintain infrastructure gives us a lot more time to work on our ideas and our algorithms. One of the greatest features of ElastiCache is that it is very quickly up to date with the latest stable versions of Redis. It enables us to scale out easily, while still having that magic layer of redundancy in case things go wrong. It’s empowering when we, as engineers, can spin up a new Redis instance in minutes without having to think about maintenance, and we can rely on a hardened version of Redis.

Thousands of global-leading companies use the Coralogix Log Analytics service to power their businesses. Because of the criticality of this data and our customers’ desire to both increase uptime and decrease troubleshooting time, we selected and rely on Amazon ElastiCache for Redis for our caching and pub/sub needs on over 100 terabytes of data every day.

Amazon ElastiCache has played an absolutely critical part in our infrastructure from the beginning," said Max Blaze, Staff Operations Engineer at Duolingo. "As we have grown, we have pushed the limits of what is possible with single-shard clusters. ElastiCache for Redis online resharding will allow us to easily scale our Redis clusters horizontally as we grow, greatly simplifying the management of our many Redis clusters, empowering us to scale quickly while also reducing cost across our caching layers, and continue to grow with minimal changes to our current services.

We use ElastiCache Redis for an application that collects data for our test & learn experiments, processing ~200 million messages a day. We are using DynamoDB as a main data-store, fronting it with ElastiCache Redis. With ElastiCache Redis we were able to decrease our provisioned DynamoDB capacity by 90%, reducing total database cost by 6x. It is fully managed and offers us benefits such as convenient metrics as well as Multi-AZ. While we haven’t had the need to fall back to a read replica yet, it is great to know that if something goes bad, we will have the read replica automatically promoted to mitigate the impact on our application.

At Genesys, we use Amazon ElastiCache to power high-throughput, low-latency storage for our cloud customer experience platform, enabling millions of customer interactions per day. We were excited to use Amazon ElastiCache Serverless to experience its performance without the overhead of provisioning instances and choosing specific configuration settings and scaling. With Amazon ElastiCache Serverless, we can remove administrative overhead and offer a significant leap in stability while providing the scalability we need to handle our growing usage and variable workloads.

We use ElastiCache to cache search results of the HERE Geocoder API, a web service that finds an address or resolves a geo-location into an address. The HERE Geocoder API serves more than 400 million requests a day. Using ElastiCache significantly reduces average response times which are critical to our consumer, automotive and enterprise users. At the same time we reduced operational costs by shifting load from expensive CPU-optimized instances to lower cost cache node instances.

Our developers spend significant time evaluating usage, configuring node types, and designing cluster topologies to set up and configure cache capacity. With Amazon ElastiCache Serverless, we can create a cache in less than a minute without any infrastructure provisioning, configuration, or capacity planning. Amazon ElastiCache Serverless eliminates the need for time-consuming capacity planning, improving our cost efficiencies and providing us with better operational reliability. Now, we can redeploy the team of engineers who were previously engaged in managing Redis to projects that deliver higher value for our clients.

As part of our strategic relationship with AWS, we efficiently collaborated and arrived at our production-grade design and migration strategy. Amazon ElastiCache for Redis improves on the observability, manageability, reliability, scalability, and efficiency of our self-managed option. It simplified our security compliance, opened up the option to easily move into cross-Region replication architectures, and helped us realize cost-optimization targets by moving into AWS Graviton2 instances.

We chose ElastiCache because we needed a fully managed and highly scalable distributed Redis cluster for numerous microservices. For example, our authentication service is based on access tokens stored in ElastiCache for Redis. Because every API call requires authentication, this service handles a huge amount of traffic per second and requires sub-millisecond performance. ElastiCache for Redis makes this possible.

ElastiCache allows Rokt to handle our dataset’s hyper growth without impacting our clients’ user experience. Given the nature of our workload, ElastiCache data tiering is perfect for us, allowing us to continue our growth at a fraction of the price with virtually unnoticeable performance impact. AWS enables Rokt to focus on product innovation rather than rethink underlying infrastructure, which is paramount as leaders in the e-commerce technology space.

SmartThings enables our customers to easily connect and control smart home devices. Amazon ElastiCache for Redis is a critical piece of our architecture to process millions of home automation requests per day, and we need to ensure that the cache always has adequate capacity. The difficulty in right-sizing for sudden and unpredictable traffic changes often meant that we ended up overprovisioning. With Amazon ElastiCache Serverless, we no longer worry about cluster scaling and optimizing its costs—it just works.

Prior to our migration from a traditional data center to AWS, we handled all our user and API session management within our transactional database. Although moving from traditional MySQL to Amazon Aurora greatly improved our system performance and reliability, within a month of our AWS migration, we decided to move all our session management activity to ElastiCache for Redis and immediately saw a 10x improvement in performance. We’ve been running ElastiCache for the last 2 years and it is something that we don’t even think about anymore, as it has been 100% reliable and highly performant since we put it in service.

Swiggy faced the challenge of managing large amounts of feature data when building ML models. In this process, the data grows quickly to billions of  records, with millions being actively retrieved during model inference, all while operating under low latency constraints. Swiggy leveraged ElastiCache as the primary feature store for ML models by building an automated ingestion pipeline and online inferencing engine. Swiggy has benefited from ElastiCache primarily for low latency, multiple data structure support, and a highly scalable system (50 million queries per second). With great support from the ElastiCache team, Swiggy was able to manage the feature store in a cost-effective way.

Tapjoy's mobile app network spans over 9,000 applications and 250 million global consumers on smartphones and tablet devices. We cache real-time statistics and metadata associated with mobile applications for faster access. Amazon ElastiCache has significantly reduced our exposure to Cache Node failures by continuously monitoring the health of our cache cluster and automatically replacing failed nodes. We are very thrilled about the management capabilities of Amazon ElastiCache and are using it in production to power some of our mission-critical and very high throughput applications.

One part of our business is real time bidding - therefore we are not only responsive, but also very careful to manage product costs effectively. ElastiCache Redis provides a very easy way to save money - by reducing our database queries up to 95% with simple caching. In addition, we are also able to speed up our entire processing with just a few additional lines of code. The fully managed solution enables our team to focus on the product itself and so we're able to build great products for our customers. We are very happy with the ElastiCache service and would like to try to implement it wherever possible in all our solutions.

We sell tickets for a number of extremely popular events across the world, so our application demands get very spiky. Amazon ElastiCache provides us the ability to deploy and scale out distributed Cache Clusters in minutes. Moving forward, we intend to use the service to rapidly increase or decrease our cache footprint to meet our application demand. The detailed monitoring capabilities will help us quickly diagnose and fix throughput or latency issues.

United Airlines, one of the largest airlines globally, relies on a centralized machine learning platform with a feature store at its core. The airline utilizes machine learning models to deliver personalized experiences to customers. With a significant customer base generating millions of daily requests and strict service level agreement requirements for quick response times, selecting the right feature store was crucial. United Airlines selected ElastiCache as its online feature store for serving real-time traffic due to its ability to provide ultra-low latency for millions of customers.

Since features need to be constantly available in-memory and have the latest values for accurate predictions by the ML models, they are stored in a feature store.  ElastiCache verifies that these features are updated as frequently as possible, enabling accurate predictions. An advantage of using ElastiCache is its support for global data stores, allowing the ML model to serve traffic from across multiple AWS Regions. This capability provides a robust and fail-safe plan to serve customers and offer personalized recommendations, such as selecting the right destination or finding the appropriate products during the check-in process. We recommend ElastiCache for real-time traffic scenarios where low latency is essential for serving data efficiently.

 

We use ElastiCache as a core component in our distributed data collection systems that analyze over seven million paid search advertisements a day to protect our customers from brand and trademark abuse by their affiliates and competitors. We had been running Memcached on EC2 but switched to ElastiCache because it freed us from the need to manage our own cache infrastructure. Since ElastiCache is Memcached-compatible, all we had to do to transition was update the cache node endpoints in our system configuration. ElastiCache delivers excellent performance while ensuring our cache nodes remain highly available.

We use ElastiCache to cache the user data and maps in ArcGIS, our collaborative web-based mapping application," said , the world's largest provider of Geographic Information Systems software. "ElastiCache is fully-managed and Memcached-compatible which made it easy to integrate, deploy, and monitor a multi-node cache cluster in our production environment. ElastiCache reduced the load on our databases and enabled our service to remain responsive to users, even in the face of rapidly growing traffic.

Amazon ElastiCache will make it very easy for PBS to deploy and manage our distributed Memcached environment. We can have multi-node cache environments configured, up and running in minutes. Amazon ElastiCache also takes care of ongoing administrative functions including failure recovery and patching, allowing us to focus more on delivering great web experiences to our viewers.

At SmugMug, we use self-hosted Memcached clusters that are overprovisioned to handle traffic spikes. Our applications rely on proxies to distribute connections across multiple cache nodes, which makes cluster scaling and node replacement operations challenging and time consuming. With Amazon ElastiCache Serverless, we can instantly scale as our application traffic increases by creating a serverless cache and connecting to a single endpoint. We no longer need to worry about managing the complexities of proxies, availability, scaling, upgrades, or data replication across multiple Availability Zones. Amazon ElastiCache Serverless enables our developers to get started quickly, get to production faster, and operate at our scale without any manual intervention.