What is Amazon Aurora? How does Amazon Aurora Work? Amazon provides various database services and Amazon Aurora is one of them. But, what is Amazon Aurora, and why is it used? Well, Amazon Aurora is a relational database engine that provides the simplicity and cost-effectiveness of an open-source database combined with the power, performance, and reliability of a high-end commercial database.
When MySQL and PostgreSQL are available, what is the use of Amazon Aurora?
Aurora provides performance that is five times better than a traditional MySQL and three times better than PostgreSQL. Amazon RDS manages tasks such as provisioning, backup, recovery for you. You also only have to pay a monthly charge; there is no upfront cost.
What is Amazon Aurora?
Amazon Aurora (Aurora) is a fully managed relational database engine that’s compatible with MySQL and PostgreSQL. You already know how MySQL and PostgreSQL combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases.
The code, tools, and applications you use today with your existing MySQL and PostgreSQL databases can be used with Aurora. With some workloads, Aurora can deliver up to five times the throughput of MySQL and up to three times the throughput of PostgreSQL without requiring changes to most of your existing applications.
Aurora includes a high-performance storage subsystem. Its MySQL- and PostgreSQL-compatible database engines are customized to take advantage of that fast distributed storage. The underlying storage grows automatically as needed. An Aurora cluster volume can grow to a maximum size of 128 tebibytes (TiB). Aurora also automates and standardizes database clustering and replication, which are typically among the most challenging aspects of database configuration and administration.
Aurora is part of the managed database service Amazon Relational Database Service (Amazon RDS). Amazon RDS is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. If you are not already familiar with Amazon RDS, see the Amazon Relational Database Service User Guide. To learn more about the variety of database options available on Amazon Web Services, see Choosing the right database for your organization on AWS
Amazon RDS shared responsibility model
Amazon RDS is responsible for hosting the software components and infrastructure of DB instances and DB clusters. You are responsible for query tuning, which is the process of adjusting SQL queries to improve performance.
Query performance is highly dependent on database design, data size, data distribution, application workload, and query patterns, which can vary greatly. Monitoring and tuning are highly individualized processes that you own for your RDS databases. You can use Amazon RDS Performance Insights and other tools to identify problematic queries.
How Amazon Aurora works with Amazon RDS
The following points illustrate how Amazon Aurora relates to the standard MySQL and PostgreSQL engines available in Amazon RDS:
- You choose Aurora MySQL or Aurora PostgreSQL as the DB engine option when setting up new database servers through Amazon RDS.
- Aurora takes advantage of the familiar Amazon Relational Database Service (Amazon RDS) features for management and administration. Aurora uses the Amazon RDS AWS Management Console interface, AWS CLI commands, and API operations to handle routine database tasks such as provisioning, patching, backup, recovery, failure detection, and repair.
- Aurora management operations typically involve entire clusters of database servers that are synchronized through replication, instead of individual database instances. The automatic clustering, replication, and storage allocation make it simple and cost-effective to set up, operate, and scale your largest MySQL and PostgreSQL deployments.
- You can bring data from Amazon RDS for MySQL and Amazon RDS for PostgreSQL into Aurora by creating and restoring snapshots, or by setting up one-way replication. You can use push-button migration tools to convert your existing RDS for MySQL and RDS for PostgreSQL applications to Aurora.
Before using Amazon Aurora, complete the steps in Setting up your environment for Amazon Aurora, and then review the concepts and features of Aurora in Amazon Aurora DB clusters.
PostgreSQL Compatibility on Amazon Aurora
The same goes for MySQL’s compatibility on Aurora. The code, drivers, applications, tools, and features that PostgreSQL provides are already available on Aurora with little or no change. PostgreSQL 9.6 and PostgreSQL10 are available on Aurora, and you can establish connections between them and move databases across Aurora and your local engine by using extensions.
But what to do to connect and configure an Aurora relational database?
To configure an Aurora relational database, you just have to follow the same steps as the hands-on in the Amazon RDS blog but you just have to change the database engine to Aurora.
There is no free tier eligibility for Aurora right now like other RDS engines. This is because Aurora does not provide micro instances.
Amazon Aurora DB Cluster
Amazon Aurora DB cluster is a virtual database storage volume that spans multiple availability zones. Each Amazon Aurora Database Cluster is made up of two or more DB instances and a cluster volume that primarily manages the data for those DB instances. The following are the two types of DB instances that make up an Amazon Aurora Cluster:
- Primary DB instance: This type of DB instance supports read and write operations and performs all data modifications to the cluster volume. Each Aurora DB cluster has one primary DB instance.
- Aurora Replica: Unlike the primary DB instance, Aurora Replica only supports read operations. It is connected to the same storage volume as the primary DB instance. By locating Aurora Replicas in separate availability zones, high availability can be maintained.
How does Amazon Aurora Work
Aurora database cluster comprises of Primary database and Aurora replica database and a cluster volume to deal with the data for those database instances. Aurora cluster volume is certifiably not a physical but a virtual database storage volume that ranges over various Availability Zones to support worldwide applications better. Each zone has its duplicate of database cluster information.
- The primary database is where all read and write operations are done over a cluster volume. Each cluster in Aurora will have one primary database instance.
- Its equitable and replica of the primary database instance whose sole responsibility is to simply give information i.e., only read operations. There can be 15 replicas for a primary database instance to maintain high accessibility and availability in all the Zones. In a fail-safe condition, Aurora will switch to a replica when a Primary database is not available. Replicas help in reducing the read workload over primary database.
- There can be a multi-master cluster likewise for Aurora. In multi-master replication, all the database instances would have a read and write capabilities. In AWS terminology they are known as reader and writer database instances.
- The user can configure to keep a backup of its database on Amazon S3. This ensures the safety of the user’s database even in the worst cases where the whole cluster is down.
- For an unpredictable workload, user can use the Aurora Serverless to automatically start scaling and shut down the database to match application demand.
Above is information about What is Amazon Aurora? How does Amazon Aurora Work? that we have compiled. Hopefully, through the above content, you have a more detailed understanding of Amazon Aurora. Thank you for reading our post.