Introduction to Amazon Aurora and its use cases

In this recipe, we will learn about Amazon Aurora. We will also learn about the use cases of Amazon Aurora.

Recipe Objective - Introduction to Amazon Aurora and its use cases?

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. Amazon Aurora is up to five times faster than the standard MySQL databases and three times faster than the standard PostgreSQL databases. Amazon Aurora provides the security, availability, and reliability of the commercial databases at 1/10th the cost. Amazon Aurora is fully managed by the Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that further auto-scales up to the 128TB per database instance. It also delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across the three Availability Zones. Amazon Aurora automatically allocates the database storage space in the 10-gigabyte increments, as needed, up to the maximum of 128 terabytes. Amazon Aurora further offers automatic, six-way replication of those chunks across three Availability Zones for improved availability and fault tolerance. Amazon Aurora provides users with the performance metrics, such as query throughput and latency. It provides fast database cloning. Amazon Aurora Multi-Master allows the creation of multiple read-write instances in an Aurora database across multiple Availability Zones, which enables the uptime-sensitive applications to further achieve continuous write availability through instance failure.

Benefits of Amazon Aurora

  • The Amazon Aurora provides multiple levels of security for users' databases. 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. 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. 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. 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. 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. 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. Amazon Aurora automatically and continuously monitors and backs up users' databases to Amazon S3, enabling granular point-in-time recovery. 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. 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. 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.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Aurora and the Use cases of Amazon Aurora.

Use cases of Amazon Aurora

    • It provides Web and Mobile Gaming

Amazon Aurora fulfils the needs of highly demanding applications with enough room for future growth. Since Amazon Aurora does not have any licensing constraints So, it perfectly fits the variable usage pattern of these applications. Also, Web and mobile games that are built to operate at a very large scale need a database with high throughput, massive storage scalability, and high availability.

    • It provides Software as a Service (SaaS) Applications

Amazon Aurora provides all of these features in the managed database offering, helping SaaS companies focus on building high-quality applications without worrying about the underlying database which powers the application. SaaS applications often use multi-tenant architectures, which further requires a great deal of flexibility in instance and storage scaling along with high performance and reliability.

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    • It provides Enterprise Applications

Amazon Aurora is a great option for any enterprise application which can use the relational database. Compared to commercial databases, Amazon Aurora can further help cut down user's database costs by 90% or more while improving the reliability and availability of the database. Amazon Aurora being a fully managed service helps users save time by automating time-consuming tasks such as provisioning, patching, backup, failure detection, recovery and repair.

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