It is simple to create, run, and grow an in-memory cache in the cloud thanks to Amazon ElastiCache, a fully managed in-memory data storage and caching service. The most commonly used data from your web apps, databases, or serverless activities is stored, allowing you quick access to your data. This article will explain what Amazon ElastiCache is and how to build one to improve performance.
Caching: What is it?
Information that users often use is kept in a place where they can locate it more quickly, a practise known as caching. This could be online or on a computer. Something that people frequently use and need to reach quickly, like the internet, is best placed in this area.
Elasticache works as an in-memory data storage and cache on the cloud. A web service is elasticache. It is therefore easy to set up, maintain, and scale.
Elasticache is a form of database technology that offers web applications in-memory caching. Because the most recent data queries are retained in server memory, it is possible to obtain them quickly regardless of how big or complicated the dataset is. Elasticache can minimise resource use and improve latency by making frequently requested things easily available and lowering the demands placed on databases.
Six areas now provide Elasticache: the US East (Northern Virginia), US West (Oregon), EU (Ireland), Asia Pacific (Tokyo), and two in Brazil (Sao Paulo).
Elasticache manages: Because each service allocation must be filled with an Amazon EC2 instance from one of your Availability Zones, the instances and service allocations you generate with ElastiCache have an impact on your utilisation of Amazon EC2 capacity. It’s vital to avoid creating too many extra Elasticache nodes because each Amazon EC2 instance has some overhead in addition to the expense of maintaining an application.
Your queries will execute more quickly the more nodes you have, but only to a certain extent. For the majority of typical use cases, you don’t need a particularly high number of nodes to get quick performance. We advise adjusting the number of cache nodes in accordance with how frequently you use Elasticache and whether caching the data can result in overall cost savings by decreasing the time you spend performing queries against an RDS database or ElastiCache node.
- Principal benefits of AWS Elasticache
- The following are the primary benefits of the AWS Elasticache service:
- Applications run more quickly if important data is kept in memory.
Redundancy between AZs may be accomplished with Elasticache, which enables Master/Slave replication and multi-AZ for cross-AZ redundancy.
It is scalable and completely controlled.
Many read-intensive applications, such as social media, gaming, and media sharing, increase latency and throughput.
AWS Elasticache Types
1. Redis Cache One of the most dependable and well-known open-source caching programmes, Redis uses the TCP/IP protocol to operate and, as its name implies, caches data in memory. It offers high uptime availability, application scalability, simple management via scripting language (Redis), rapid access to several databases (NoSQL), etc.
2) Memcache: Memcached has replaced Redis because it performs better than Redis. You do not need to install any additional software because it is embedded within the operating system. Additionally, unlike Redis, it keeps data on a disc so that it is durable and not lost in server crashes. However, a few of its capabilities, like replication and cluster support, are only available in the premium edition.