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  1. #1
    WHT-BR Top Member
    Data de Ingresso
    Dec 2010

    [EN] AWS: RDS Aurora – a drop-in replacement for MySQL

    Key Features

    Performance and Scalability

    High Throughput with Low Jitter

    Amazon Aurora uses a variety of software and hardware techniques to ensure the database engine is able to fully leverage available compute, memory and networking. I/O operations use distributed systems techniques such as quorums to improve performance consistency. Testing on standard benchmarks such as SysBench have shown up to a 5X increase over stock MySQL 5.6 on similar hardware.

    Push-button Compute Scaling

    Using the Amazon RDS APIs or with a few clicks in the AWS Management Console, you can scale the compute and memory resources powering your deployment up or down, up to a maximum of 32 vCPUs and 244 GiB of RAM. Compute scaling operations typically complete in a few minutes.

    Storage Auto-scaling

    Amazon Aurora will automatically grow the size of your database volume as your database storage needs grow. Your volume will grow in increments of 10 GB up to a maximum of 64 TB or a maximum volume size you define. You don't need to provision excess storage for your database to handle future growth.

    Amazon Aurora Replicas

    You can create Amazon Aurora Replicas and serve high-volume application read traffic from multiple instances, thereby increasing aggregate read throughput. Amazon Aurora Replicas share the same underlying storage as the source instance, lowering costs and avoiding the need to perform writes at the replica nodes. This frees up more processing power to serve read requests and reduces the replica lag time – often down to single digit milliseconds. You can create up to 15 Amazon Aurora Replicas per Amazon Aurora database.


    Instance Monitoring and Repair

    Amazon RDS continuously monitors the health of your Amazon Aurora database and underlying EC2 instance. On database failure, Amazon RDS will automatically restart the database and associated processes. Amazon Aurora does not require crash recovery replay of database redo logs, greatly reducing restart times. Amazon Aurora also isolates the database buffer cache from the database process, allowing the cache to survive a database restart. On instance failure, Amazon RDS uses RDS Multi-AZ technology to automate failover to one of up to 15 Amazon Aurora Replicas you have created in any of three Availability Zones. If no Amazon Aurora Replicas have been provisioned, in the case of a failure, Amazon RDS will attempt to create a new Amazon Aurora DB instance for you automatically. Please see our FAQ for more information.

    Fault-tolerant and Self-healing Storage

    Each 10GB chunk of your database volume is replicated six ways, across three Availability Zones. Amazon Aurora storage is fault-tolerant, transparently handling the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon Aurora storage is also self-healing. Data blocks and disks are continuously scanned for errors and replaced automatically.

    Automatic, Continuous, Incremental Backups and Point-in-time Restore

    Amazon Aurora's backup capability enables point-in-time recovery for your instance. This allows you to restore your database to any second during your retention period, up to the last five minutes. Your automatic backup retention period can be configured up to thirty-five days. Automated backups are stored in Amazon S3, which is designed for 99.999999999% durability. Amazon Aurora backups are automatic, incremental, and continuous and have no impact on database performance.

    Database Snapshots

    DB Snapshots are user-initiated backups of your instance stored in Amazon S3 that will be kept until you explicitly delete them. They leverage the automated incremental snapshots to reduce the time and storage required. You can create a new instance from a DB Snapshot whenever you desire.


    Encryption at Rest and in Transit

    Amazon Aurora uses SSL to secure data in transit and encrypts data at rest. If you choose to enable encryption of data at rest, all data written to Amazon Aurora storage will be encrypted as well as all backups stored in Amazon S3.

    Network Isolation

    Amazon Aurora runs in Amazon VPC, which allows you isolate your database in your own virtual network, and connect to your on-premises IT infrastructure using industry-standard encrypted IPsec VPNs. To learn more about Amazon RDS in VPC, refer to the Amazon RDS User Guide. In addition, using Amazon RDS, you can configure firewall settings and control network access to your DB Instances.

    Resource-level Permissions

    Amazon RDS for Aurora is integrated with AWS Identity and Access Management (IAM) and provides you the ability to control the actions that your AWS IAM users and groups can take on specific Amazon RDS for Aurora resources (e.g., DB Instances, DB Snapshots, DB Parameter Groups, DB Event Subscriptions, DB Options Groups). In addition, you can tag your Amazon RDS for Aurora resources, and control the actions that your IAM users and groups can take on groups of resources that have the same tag (and tag value). For example, you can configure your IAM rules to ensure developers are able to modify "Development" DB Instances, but only Database Administrators can modify and delete "Production" DB Instances. For more information about Resource-level Permissions, refer to Using AWS IAM with Amazon RDS Resources and Tagging Amazon RDS Resources.


    Easy to Use

    Getting started with Amazon RDS for Aurora is easy. Just launch a new Amazon Aurora DB Instance using the AWS Management Console or a single API call. Amazon Aurora DB Instances are pre-configured with parameters and settings appropriate for the DB Instance class you have selected. You can launch a DB Instance and connect your application within minutes without additional configuration. DB Parameter Groups provide granular control and fine-tuning of your database.

    Easy Migration

    Standard MySQL import and export tools work with Amazon Aurora. You can also easily create a new Amazon Aurora database from an Amazon RDS for MySQL DB Snapshot. Migration operations based on DB Snapshots typically complete in under an hour, but will vary based on the amount and format of data being migrated.

    Monitoring and Metrics

    Amazon RDS for Aurora provides Amazon CloudWatch metrics for your DB Instances at no additional charge. You can use the AWS Management Console to view over 20 key operational metrics for your database instances, including compute, memory, storage, query throughput, cache hit ratio, and active connections.

    Automatic Software Patching

    Amazon RDS for Aurora will keep your database up-to-date with the latest patches. You can exert optional control over when and if your instance is patched via DB Engine Version Management.

    DB Event Notifications

    Amazon RDS for Aurora can notify you via email or SMS of database events through Amazon SNS. You can use the AWS Management Console or the Amazon RDS APIs to subscribe to over 40 different DB events associated with your Aurora databases.


    Pay Only for What You Use

    There is no up-front commitment with Amazon RDS Aurora; you simply pay a monthly charge for each instance that you launch. And, when you’re finished with an Amazon Aurora DB Instance, you can easily delete it. You do not need to over-provision storage as a safety margin. You only pay for the storage you actually consume on an hourly basis. To see more details, visit the Amazon RDS for Aurora Pricing page.

  2. #2
    WHT-BR Top Member
    Data de Ingresso
    Dec 2010

    Amazon RDS for Aurora Product Details

    Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It delivers up to five times the throughput of standard MySQL running on the same hardware. Amazon Aurora is designed to be compatible with MySQL 5.6, so that existing MySQL applications and tools can run without requiring modification. Amazon Aurora joins MySQL, Oracle, Microsoft SQL Server, and PostgreSQL as the fifth database engine available to customers through Amazon RDS. Amazon RDS handles time-consuming tasks such as provisioning, patching, backup, recovery, failure detection, and repair. You pay a simple monthly charge for each Amazon Aurora database instance you use. There are no upfront costs or long-term commitments.

    Amazon Aurora increases MySQL performance and availability by tightly integrating the database engine with an SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora's storage is fault-tolerant and self-healing. Disk failures are repaired in the background without loss of database availability. Amazon Aurora is designed to automatically detect database crashes and restart within 60 seconds without the need for crash recovery or to rebuild the database cache. If the entire instance fails, Amazon Aurora will automatically failover to one of up to 15 read replicas, typically in a few minutes.

    Amazon RDS makes it easy to manage your Amazon Aurora database by automating most of the common administrative tasks associated with running a database. With a few clicks in the AWS Management Console, you can quickly launch an Amazon Aurora database instance. Amazon Aurora scales storage automatically, growing storage and rebalancing I/Os to provide consistent performance without the need for over-provisioning. For example, you can start with a database of 10GB and have it automatically grow up to 64TB without requiring availability disruptions to resize or restripe data.

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