Using the Amazon Relational Database Service (Amazon RDS) APIs or with a few clicks in AWS Management Console, Users can scale the compute and memory resources powering their deployment up or down. It provides Push-Button Compute Scaling and Storage Auto-ScalingĪmazon Aurora provides push-button compute scaling and storage auto-scaling.This recipe explains Amazon Aurora and the Features of Amazon Aurora. Any Operating System(Mac, Windows, Linux).It also means the code, applications, drivers, and tools users already use with their existing databases can be used with Amazon Aurora with little or no change and thus offers MySQL and PostgreSQL compatibility. The Amazon Aurora database engine is fully compatible with the existing MySQL and PostgreSQL open source databases and adds support for new releases regularly and users can easily migrate MySQL or PostgreSQL databases to Amazon Aurora using the standard MySQL or PostgreSQL import/export tools or snapshots. Users can monitor database performance using the Amazon CloudWatch, Enhanced Monitoring, or Performance Insights, an easy-to-use tool that helps users quickly detect performance problems and thus offers a fully managed service. Amazon Aurora automatically and continuously monitors and backs up users' databases to Amazon S3, enabling granular point-in-time recovery.
#AURORA BACKTRACK SOFTWARE#
Amazon Aurora is known to be fully managed by Amazon Relational Database Service (RDS) and users no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups. With Global Database, a single Aurora database can further span multiple AWS Regions to enable fast local reads and a quick disaster recovery thus offering High availability and durability. It transparently recovers from the physical storage failures, instance failover typically takes less than 30 seconds and users can also backtrack within seconds to a previous point in time to recover from the user errors. Amazon Aurora is designed to offer users 99.99% availability, replicating 6 copies of their data across 3 Availability Zones and backing up user's data continuously to Amazon S3. On an encrypted Amazon Aurora instance, data in the underlying storage is further encrypted, as are the automated backups, snapshots, and replicas in the same cluster and thus is highly secure. These include network isolation using the Amazon Virtual Private Cloud(VPC), encryption at the rest using keys users create and control through the AWS Key Management Service (KMS) and encryption of data in transit using SSL.
Amazon Aurora provides the security, availability, and reliability of the commercial databases at 1/10th the cost. Amazon Aurora is up to five times faster than the standard MySQL databases and three times faster than the standard PostgreSQL databases. The Amazon Aurora is widely used and defined as a MySQL and PostgreSQL-compatible relational database built for the cloud which combines the performance and availability of the traditional enterprise databases with the simplicity and cost-effectiveness of the open-source databases. Recipe Objective - Explain the features of Amazon Aurora?
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