Amazon RDS is used for OLTP, but it can also be used for OLAP. Amazon Redshift is a high-performance data warehouse designed specifically for OLAP use cases. Sometimes Amazon RDS with Amazon Redshift is used in the same application and periodically extract recent transactions and load them into a reporting database.
ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches,instead of relying entirely on slower disk-based databases. ElastiCache supports two open-source in-memory caching engines:
Amazon RDS permits you to recover your database quickly whether you are performing automated backups or manual DB snapshots. A new DB Instance is created when we restore. As soon as the restore is complete, we should associate custom DB parameter or security groups used by the instance from which you restored.
One of the most powerful features of Amazon RDS is Multi-AZ deployments, which allows you to create a database cluster across multiple Availability Zones. Multi-AZ allows you to place a secondary copy of your database in another Availability Zone for disaster recovery purposes. When you create a Multi-AZ DB Instance, a primary instance is created in one Availability Zone and a secondary instance is created in another Availability Zone.
This chapter will cover essential database concepts and AWS RDS Concepts. As we know that Every application relies on a database to store data and records for its users. A database engine allows application to access, manage, and search large volumes of data records. Database systems and engines can be grouped into two broad categories:
An AWS Cluster consists of one or more RDS instances and a cluster volume to manage the data for the RDS instances. Aurora cluster is the popular one which creates two instances in a cluster by default. One instance is used to write while the other is used for reading operation. But you can change this configuration as you wish.
The Amazon RDS (Relational Database Service) is used to easily create a relational database in the cloud. This cross-platform database service was developed by Amazon and released in the year 2009. It also provides a way to manage the administrative processes like patching the database software, backing up databases and enabling point-in-time recovery. This proprietary tool by Amazon simplifies the process of creation, scaling and the use of the relational database in applications.
An instance is the basic building block of an RDS. It is an isolated database environment running in the cloud. The Amazon RDS manages the database instance by performing backups, handling failover, and maintaining the database software. Amazon RDS provides different instance types that are optimized to fit different relational database use cases. Instances types comprise varying combinations of CPU, memory, and other resources to give you flexibility in choosing the appropriate mix of resources for your database.
Amazon Aurora is a type of relational database built for the cloud that is compatible with MySQL and PostgreSQL. It is five times faster than the MySQL database and three times faster than the PostgreSQL database. This hybrid database type is a perfect combination of the performance and availability of traditional databases with the simplicity and cost-effectiveness of the open-source database. This database is fully managed by the Amazon RDS so tasks like hardware provisioning, database setup, patching, and backups are automated.
What is Amazon RDS?Amazon Relational Database Service(RDS) is easier to operate a database in Cloud.It also helps us in providing cost efficient and resizable capacity and can manage common database tasks. It is a distributed database service by Amazon Web Services.AWS RDS is usrd to setup relational database for using it in an application.
Use the end point and the master user credentials as the connection details.
Once connected, we get the following window.
We can also query the MSSQL DB as shown below.