Lower administrative burden

Easy to use

Y'all tin use the AWS Management Console, the Amazon RDS Command Line Interface, or unproblematic API calls to access the capabilities of a production-prepare relational database in minutes.

Amazon RDS database instances are pre-configured with parameters and settings appropriate for the engine and class you have selected. You can launch a database example and connect your application within minutes. DB Parameter Groups provide granular control and fine-tuning of your database.

Automatic software patching

Amazon RDS will brand sure that the relational database software powering your deployment stays upward-to-date with the latest patches. You can exert optional control over when and if your database case is patched.

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All-time practice recommendations

Amazon RDS provide best practise guidance past analyzing configuration and usage metrics from your database instances. Recommendations encompass areas such as database engine versions, storage, instance types, and networking. You can browse the bachelor recommendations and perform a recommended action immediately, schedule it for their next maintenance window, or dismiss it entirely.

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Functioning

General Purpose (SSD) Storage

Amazon RDS Full general Purpose Storage is an SSD-backed storage option delivers a consistent baseline of 3 IOPS per provisioned GB and provides the power to burst up to 3,000 IOPS above the baseline. This storage type is suitable for a broad range of database workloads.

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Provisioned IOPS (SSD) Storage

Amazon RDS Provisioned IOPS Storage is an SSD-backed storage selection designed to deliver fast, anticipated, and consistent I/O performance. Y'all specify an IOPS rate when creating a database case, and Amazon RDS provisions that IOPS rate for the lifetime of the database example. This storage blazon is optimized for I/O-intensive transactional (OLTP) database workloads. You can provision up to forty,000 IOPS per database instance, although your bodily realized IOPS may vary based on your database workload, example type, and database engine choice.

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Scalability

Push-button compute scaling

Yous tin scale the compute and retentiveness resources powering your deployment up or down, upward to a maximum of 32 vCPUs and 244 GiB of RAM. Compute scaling operations typically complete in a few minutes.

Easy storage scaling

As your storage requirements abound, you can also provision additional storage. The Amazon Aurora engine will automatically grow the size of your database volume as your database storage needs grow, up to a maximum of 64 TB or a maximum you define. The MySQL, MariaDB, Oracle, and PostgreSQL engines let you to scale up to 64 TB of storage and SQL Server supports up to 16 TB. Storage scaling is on-the-fly with zero downtime.

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Read Replicas

Read Replicas make it easy to elastically calibration out beyond the capacity constraints of a single DB case for read-heavy database workloads. Y'all can create one or more replicas of a given source DB case and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas are available in Amazon RDS for MySQL, MariaDB, PostgreSQL, and Oracle also as Amazon Aurora.

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Availability and durability

Automated backups

The automatic backup feature of Amazon RDS enables bespeak-in-time recovery for your database example. Amazon RDS volition fill-in your database and transaction logs and store both for a user-specified retentivity period. This allows you to restore your database instance to whatever second during your memory menstruation, upwards to the concluding five minutes. Your automatic backup retention period can be configured to up to xxx-five days.

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Database snapshots

Database snapshots are user-initiated backups of your instance stored in Amazon S3 that are kept until you explicitly delete them. Yous tin can create a new instance from a database snapshots whenever you lot desire. Although database snapshots serve operationally as full backups, you are billed just for incremental storage use.

Multi-AZ deployments

Amazon RDS Multi-AZ deployments provide enhanced availability and durability for database instances, making them a natural fit for production database workloads. When you provision a Multi-AZ database instance, Amazon RDS synchronously replicates your data to a standby instance in a dissimilar Availability Zone (AZ).

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Automatic host replacement

Amazon RDS will automatically supplant the compute instance powering your deployment in the event of a hardware failure.

Security

Encryption at residue and in transit

Amazon RDS allows you to encrypt your databases using keys you manage through AWS Key Direction Service (KMS). On a database instance running with Amazon RDS encryption, information stored at rest in the underlying storage is encrypted, every bit are its automated backups, read replicas, and snapshots.

Amazon RDS supports Transparent Data Encryption in SQL Server and Oracle. Transparent Data Encryption in Oracle is integrated with AWS CloudHSM, which allows you to deeply generate, shop, and manage your cryptographic keys in single-tenant Hardware Security Module (HSM) appliances within the AWS cloud.

Amazon RDS supports the use of SSL to secure data in transit.

Network isolation

AWS recommends that you run your database instances in Amazon VPC, which allows you isolate your database in your ain virtual network and connect to your on-premises IT infrastructure using industry-standard encrypted IPsec VPNs. You can configure firewall settings and control network access to your database instances.

Resources-level permissions

Amazon RDS is integrated with AWS Identity and Access Management (IAM) and provides you the ability to command the deportment that your AWS IAM users and groups can take on specific Amazon RDS resource, from database instances through snapshots, parameter groups, and pick groups. You can also tag your Amazon RDS resources and command the deportment that your IAM users and groups can accept on groups of resources that take the aforementioned tag and associated value. For example, you can configure your IAM rules to ensure developers are able to alter "Evolution" database instances, but only Database Administrators can make changes to "Production" database instances.

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Manageability

Monitoring and metrics

Amazon RDS provides Amazon CloudWatch metrics for your database instances at no boosted charge. You can use the RDS Management Panel to view key operational metrics, including compute/memory/storage capacity utilization, I/O activity, and example connections. Amazon RDS also provides Enhanced Monitoring, which provides access to over 50 CPU, memory, file system, and disk I/O metrics, and Performance Insights, an easy-to-use tool that helps you quickly find functioning problems.

Event notifications

Amazon RDS can notify you lot via email or SMS text bulletin of database events through Amazon SNS. You can use the AWS Management Panel or the Amazon RDS APIs to subscribe to over 40 different database events associated with your database instances.

Configuration governance

Amazon RDS integrates with AWS Config to support compliance and enhance security by recording and auditing changes to the configuration of your DB example including parameter groups, subnet groups, snapshots, security groups and event subscriptions.

Cost-effectiveness

Pay simply for what yous use

At that place is no upwards-front commitment with Amazon RDS; you lot merely pay a monthly charge for each database instance that you launch. And, when you're finished with a database instance, yous can hands delete it. To encounter more details, visit the Amazon RDS Instance Types folio and the Amazon RDS Pricing page.

Reserved instances

Amazon RDS Reserved Instances give you the option to reserve a DB instance for a one or three year term and in turn receive a meaning discount compared to the On-Demand Instance pricing for the DB case.

Stop and get-go

Amazon RDS allows y'all to hands stop and start your database instances for upwardly to 7 days at a time. This makes it easy and affordable to use databases for evolution and exam purposes, where the database is not required to be running all of the fourth dimension.

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