What is Amazon ElastiCache?

The in-memory caching provided by ElastiCache, which can be used to improve latency and throughput for many heavily read application workloads or compute-intensive workloads .For the finest scenarios like where the Database load is based on Online Analytical Processing (OLAP) transactions. AWS ElastiCache is an In-memory key/value store. It is managed service provided by AWS.

Elastic cache provides two ways to configure:

  1. Memcached
  2. Redis

Difference between Redis and Memcached as below:

Redis MemCache
Redis does not have native clustering yet, but working on developing this feature too. It does native clustering, hence if you need a robust clustering memcache, for Memcached.
Redis is a data structure server which do not only caching but you can also do share queue, message solution(pub/sub), sessions and sorted sets. so it is really good for Key-> Some-Object. Good at doing simple key-value cache. But if you want t use other feature or requirement changes, REDIS is the right way to go. So, it is good for KEY->String.
You can cache bigger values in Redis cache. Values upto 512MP per key. Size is limited for the values cached. Values cached upto 1MB/Key.
It’s powerful data types and powerful commands to leverage them(Hashes, Sorted Sets and many more..) Good for multi-threaded environments.
Redis is slower compared to Memcache. Memcache is faster compared to REDIS.

Use Cases – In which Scenario we need to think to choose Redis or Memcached:

Use Case Benefits
Web Session Store In cases with load-balanced web-servers, store web session information in Redis so if a server is lost by any means, the session information is not lost and another web server can pick it up from there.
Database caching Use Memcached in front of AWS Relational Database(RDS) to cache popular queries to offload work from Relational Database(RDS) and return results faster to users.
Leaderboards Use Redis to provide a live leaderboard for millions of users of your mobile applications.
Streaming data dashboards Provide a landing spot for streaming sensor data on the factory floor, providing real/live-time dashboard for displays.

Lab to create Redis cache service.

Step 1: Go to Services and search ElasticCache and click on GetStarted


Step 2: for learning purpose we are choosing Redis along with Cluster Mode enabled (Recommended for Production)


Step 3: Fill the necessary details like name of your cluster and choose t2.micro instance for learning purpose.


Note: kindly keep all settings as defaults and then click on Create


Soon you will see, you get a Redis cluster ready for use.


Note: Provide this cluster endpoint/URL to the developer so that developers can get started taking the leverage of this cluster.

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