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AWS Relational Database Service (RDS) is a product from AWS for managing relational databases. It facilitates setting up, operating, managing, and scaling relational Instances of a cloud database. It supports multiple databases to organize and store data.
Since it’s a relational database, Amazon RDS helps with other management tasks such as data backup and recovery, migration, and patching.
A relational database is a type of database enables users to store data and provide access to related data points. Ideally, it’s a collection of different data items that have a particular relationship between them.
A relational database groups data in sets of tables and rows. Each row in a table has a unique ID called a key. The columns hold the data attributes that make it possible to establish relationships among data points.
The logical data structures are separate from the physical storage. An administrator can manage physical data without affecting its structure.
AWS RDS provides an environment from which you can access or reassemble data in different ways without reorganizing the database values.
RDS supports most of the popular relational databases. These include:
RDS allows easy migration from on-premise data to the cloud. It provides out-of-box provisioning with a database version of your choice, manual snapshots, high availability, and redundancy.
Aurora is a relational database managed by RDS provides maximum availability and performance while being simple and cost-effective. It’s compatible with PostgreSQL and MySQL to connect applications with new Instances easily. You can easily migrate PostgreSQL or MySQL databases to Aurora using standard export tools or snapshots.
Amazon RDS for Oracle is a fully managed database that facilitates setting up, operating, and scaling oracle deployments in the cloud. It supports most of the features and capabilities of the Oracle database. This service gives you the option of a lift-and-shift approach to migrate your on-premise Oracle database to RDS. With these capabilities, you don’t have to change the existing application components.
Amazon RDS simplifies the process of managing MySQL deployments to the cloud. It makes it easy to deploy MySQL servers with cost-efficient and resizable hardware capacity. Amazon RDS for MySQL is preconfigured with settings and parameters to launch and connect with the production-ready MySQL database in minutes.
Amazon RDS provides provisioned IOPS for high-performance applications and General Purpose storage for small to medium-sized workloads.
Amazon RDS for PostgreSQL makes it easy to manage PostgreSQL in the cloud. This service gives you the capabilities of the PostgreSQL database engine. All the tools, applications, and code that you use with PostgreSQL you can use with Amazon RDS.
AWS RDS allows you to use all the MariaDB open-source database engine capabilities and manage deployments to AWS.
Here are the top features of Amazon RDS:
Amazon RDS allows you to scale your database’s storage and compute resources easily with no service disruptions. You can scale memory and compute resources to a maximum of 32 vCPUs and 244 GM of RAM. For storage, you can grow the size of your Database to a maximum of 64TB with no downtime.
AWS RDS provides high availability and durability as you can recover your database Instance at any point in time. It backs up all logs and stores them for the specified period of your choice. These backups help restore your database Instance during the retention period.
To further maximize availability, you can provision multi Availability Zone RDS availability. RDS then synchronously replicates your data to a standby Instance in a different Availability Zone, preventing downtime risks.
Amazon RDS provides automatic software patches for the database you use. You can configure when you need to patch your database Instance.
AWS RDS has numerous security capabilities. First, you can encrypt data in transit and at rest using the Key Management Service (KMS). Second, you can run your database Instance in Amazon VPC, isolating your Instances and connecting to your infrastructure through an industry-standard VPN.
To set up Amazon RDS, you start with creating an Instance and connecting it to a database using Amazon RDS. You can create a database Instance that uses Oracle, MySQL, PostgreSQL, or MariaDB.
With Amazon RDS, you only pay for what you use, and there are no minimum fees. You can pay with either Reserved Instances or On-Demand Instances.
The cost of Amazon RDS changes depending on the database engine used. You pay for the following:
Amazon RDS is a great way to manage cloud deployments. You can use RDS to operate relational databases in the cloud.
Whether you are just starting your cloud journey or already running complex cloud deployments, nOps provides you with full visibility into your cloud environment. You can rely on nOps monitoring to manage your RDS configurations and rightsize your Instances to save costs.