Amazon ElastiCache Reviews and details

Social recommendations and mentions

• Choosing the Right AWS Database: A Guide for Modern Applications

  Key-value databases are designed to store and retrieve data using simple key-value pairs, making them ideal for applications that require fast and simple data access. AWS offers a fully managed key-value database service called Amazon ElastiCache that supports popular key-value engines such as Redis and Memcached. - Source: dev.to / 6 months ago

• How to Effectively Use Caching to Improve Microservices Performance

  Cloud-Based Caching Services: Evaluate the use of cloud-based caching services, such as Amazon ElastiCache or Redis Cloud, for managed caching solutions that offer scalability, resilience, and reduced maintenance overhead. - Source: dev.to / 8 months ago

• AWS Beginner's Key Terminologies

  Amazon ElastiCache (database) Amazon ElastiCache is a web service that simplifies deploying, operating and scaling an in-memory cache in the cloud. The service improves the performance of web applications by providing information retrieval from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. Https://aws.amazon.com/elasticache/. - Source: dev.to / over 1 year ago

• Amazon DynamoDB Accelerator (DAX) vs ElastiCache : Which One to Use?

  Amazon DynamoDB Accelerator (DAX) and ElastiCache both are fully managed caching services from AWS. DAX is designed especially for DynamoDB on the other hand ElastiCache can cache anything including DynamoDB. Source: over 1 year ago

• Serverless API Essentials - Idempotency

  Not to sound like a purist, but when I build serverless applications, I'd prefer for all of it to be serverless. Using Amazon Elasticache breaks that paradigm. That service has pay-per-hour pricing and doesn't quite have the flexibility I'm used to when working with serverless services. - Source: dev.to / over 1 year ago

• A Comprehensive Guide to Deploying Laravel Applications on AWS Elastic Beanstalk

  Now that you have a working database set up for your application, its time to set up a functional cache instance using Amazon ElastiCache. Amazon ElastiCache is a service similar to Amazon RDS, but it lets you run in-memory database servers, such as memcached or Redis, managed by AWS. Before creating a new Amazon ElastiCache instance, you'll have to create a new security group. - Source: dev.to / almost 2 years ago

• Love the sustainability of AWS Well Architected Reviews

  Cache: with services like e.g. ElasticCache to reduce the load on underlying resources such as databases, and RDS proxy for pooling of connections. - Source: dev.to / almost 2 years ago

• AWS and In-Memory Databases

  More and more systems are relying on in-memory databases, which is why AWS has two different services, Amazon ElastiCache and Amazon MemoryDB for Redis. Before we dig too far into these services, let’s add some context by doing a quick dive into the history of in-memory databases as this can help you understand the approach that AWS took when creating their products. - Source: dev.to / almost 2 years ago

• Best way to store huge amounts of database search results temporary?

  It sounds like you want an in-memory cache (eg: Redis). Maybe take a look at AWS ElastiCache. Source: about 2 years ago

• Building a dynamic staging platform

  Since we use AWS Elastic Container Service (ECS) for our container orchestration, our dynamic stagings would also run under ECS. Rather than create a whole new set of infrastructure for each new dynamic staging, we selected one of our existing staging environments to serve as the dynamic staging host environment. This allows dynamic stagings to share certain resources that are owned by the host environment — in... - Source: dev.to / about 2 years ago

• Multiple microservices sharing an access token

  If you generate temporary tokens that need to be shared (for performance pusrposes for instance) you might look into a Redis/Memcached cache. On AWS you can look into elastiCache for aws implementations of both. Source: about 2 years ago

• When Serverless Meets Traditional Relational Databases

  The last potential solution I will mention is Caching. Effective usage of tools such as AWS's ElastiCache may allow some requests to not have to hit the database at all. - Source: dev.to / over 2 years ago