Amazon Aurora – 5 Unbelievable Benefits & Use Cases
In our last session, we talked about Amazon Snowball Tutorial. Today, we discuss what is Amazon Aurora. Moreover, we will study the benefits and use cases of AWS Aurora.
So, let’s start the Amazon Aurora Tutorial.
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What is Amazon Aurora?
Databases are required to power the apps that power the business. As the business grows the databases also grow and to provide a better service the databases should bigger, faster, and dependable.
Amazon Aurora is a Relational Database that is designed to compatible with MySQL so that the existing applications can work without any hindrance. It provides the 5 times with the performance of MySQL on the same hardware.
If the user is in need for more databases they can add the replica of it which has a limit of 15. The storage of Amazon Aurora can grow up to 64 TB. It also replicates the data to three availability zones and if the failure occurs it fixes them automatically.
AWS Aurora is managed by Amazon RDS which takes care of complicated databases tasks such as provisioning, monitoring, and patching. Migration from simple MySQL to AWS Aurora is the very easy task and it can do within a few clicks.
These features are available at a low cost with no upfront cost, pay for what you use, and each hour the user uses it.
Features of Amazon Aurora
These are the AWS Aurora features, let’s discuss them one by one:
a. Available and Durable
AWS Aurora has a feature of fault-tolerant and self-healing storage built for the cloud. It offers a great availability of 99.99%. The storage for the cloud replicates the 6 copies of the data across 3 Availability Zones.
The AWS Aurora backs up the data o a continuous rhythm for the safety purpose and precaution from storage failure.
b. Higher Security
Amazon Aurora provides multiple levels of security for the database to make it better among others. On an encrypted Amazon Aurora instance, data within the underlying storage is encrypted.
The management is through AWS Key Management Service and encryption of data in transit using SSL. Moreover, there are the automat backups, snapshots, and replicas within the same cluster.
c. High Scalability and Performance
AWS Aurora provides 5 times the throughput of normal MySQL. This performance is on par with business databases, at 1/10th the price. You’ll simply scale your database preparation up to and down from smaller to larger instance varieties as your needs modification.
To scale scan capacity and performance, you’ll add up to fifteen low latency scan replicas across 3 convenience Zones. Amazon Aurora automatically grows storage as required, up to 64TB per database instance.
d. Compatibility with MySql and PostgreSQL
The Amazon Aurora database engine is absolutely compatible with existing MySQL and PostgreSQL open supply databases and adds compatibility for brand new releases often.
This suggests you’ll able to simply migrate MySQL or PostgreSQL databases to Aurora victimization standard MySQL or PostgreSQL import/export tools or snapshots.
It additionally suggests that the code, applications, drivers, and tools you already use together with your existing databases may use with AWS Aurora with very little or no modification.
e. Complete Management
AWS Aurora completely manages by Amazon Relational Database Service (RDS). The user doesn’t have to worry concerning management tasks like hardware provisioning, software fixing, setup, configuration, or backups.
Aurora automatically and endlessly monitors and backs up the info to Amazon S3. It also enables granular point-in-time recovery.
The user will monitor database performance using Amazon CloudWatch, increased observation, or Performance Insights, an easy-to-use tool that helps you quickly find performance issues.
Use Cases of Amazon Aurora
Let’s discuss some major Uses Cases AWS Aurora:
a. Software as a Service (SaaS)
It generally uses architectures that are multi-talent that should flexible in the instance and storage scaling. Amazon Aurora helps companies so that they can focus on building high-quality applications without worrying about the underlying database.
b. Gaming purpose
AWS Aurora works the same way as Relational Database works by providing the database with high throughput, massive storage scalability, and high availability.
c. Enterprise Application
The Amazon Aurora is best compatible for ay firm which is already filmier with Relational Database. Aurora is economical as it diminishes the price by 90% compared to others.
Aurora is reliable and highly available and enhances with the tasks such as provisioning, patching, backup, recovery, failure detection, and repair.
So, this was all about AWS Aurora Tutorial. Hope you like our explanation.
Hence, in this Amazon Aurora Tutorial, we studied AWS Aurora is best as it helps the industry to integrate while improving reliability and availability, and reducing cost at the same time.
Amazon Aurora delivers over 500,000 reads and 100,000 writes within a second with a great consistency. Furthermore, if you have any query, feel free to ask in the comment box.