Data Store

The datastore is used to persist data needed by the microservices. Popular stores for session data are in-memory caches such as Memcached or Redis. Putting a cache between application servers and a database is a common mechanism for reducing the read load on the database, which, in turn, may allow resources to be used to support more writes. Caches also can improve latency.For larger data  AWS provides relational and NoSQL databases. AWS offer object store S3 which is very popular object store, this can be used to host static websites.

  • Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
  • Amazon DynamoDB to create a database table that can store and retrieve any amount of data and serve any level of request traffic.

This is the complete Microservices  Architecture on AWS and its different layers and the amazon services  used on those layers.


Microservices Architecture on AWS

Monolithic applications are built using different layers, a user interface  layer, a business layer, and a persistence layer. A central idea of a microservices architecture is to split functionalities into vertical layers but by implementing a specific domain. 

 Figure  depicts a reference architecture for a typical microservices application on AWS

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