amazon aurora

What is Amazon Aurora?


Amazon Aurora is an extensively-engineered, modern database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

In this post, we’ll discuss Amazon Aurora, explain how it works under the covers, and review some of its benefits — namely improved performance and reduced operational costs.

First, we’ll provide an overview of Aurora —what it is and how it works. Then we’ll talk about its features and benefits.

Lets get started!

 

  1. What is Amazon Aurora?
  2. Why We Use Amazon Aurora?
  3. How Amazon Aurora Works?
  4. Pros and cons of Amazon Aurora
  5. Conclusion

1. What is Amazon Aurora?

Amazon Aurora is a new generation of MySQL-based relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora offers up to five times better performance compared to standard MySQL and three times better than PostgreSQL, which allows you to get more work done. Plus, it’s fully compatible with your existing applications, tools, and skills.

The database engine at the heart of Amazon Aurora is similar to MySQL, PostgreSQL, and other open-source databases.

However, many design decisions were made with the cloud in mind — for example, we added a distributed architecture that can automatically adjust to the availability of underlying infrastructure (also known as database elasticity ).

 

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2. Why We Use Amazon Aurora?

MySQL and relational database technology has been around for more than 30 years. It’s a mature technology that powers everything from basic CRUD operations to complex analytics and machine learning.

MySQL is the most popular open source database option today, with a huge ecosystem of developers writing applications and extensions. There’s also a large pool of talent you can draw from to scale your engineering team as needed. And because it’s open source, you can trust that its long-term availability is secure—and at no cost.

Amazon Aurora is built from the ground up to handle today’s big data and analytics workloads. And, because it’s a MySQL fork, you can integrate it with your existing applications and tools without any changes or compatibility problems.

Amazon RDS for MySQL is another option for customers looking for the simplicity and high availability of MySQL.

Note: The Amazon Relational Database Service (RDS) provides a scalable and reliable managed database environment in the cloud.

MySQL and relational database technology has been around for more than 30 years. It’s a mature technology that powers everything from basic CRUD operations to complex analytics and machine learning.

3. How Amazon Aurora Works?

You start off by specifying an Amazon Virtual Private Cloud (Amazon VPC), which allows you to launch and scale your database application independent of on-premise servers via AWS.

Amazon Aurora is an Amazon Web Services Database with a SQL-compatible interface. This means that almost any application that can use MySQL can also use Aurora.

It is optimized for analytical workloads and supports mixed read-write workloads in a multi-tenant configuration. Thru Aurora Amazon offers the possibility to gain 30% more throughput at the same price of an EBS volume.

Besides the obvious performance improvements, Aurora provides replicas and multi-AZ that ensure business continuity for application servers.

Amazon Aurora is a serverless relational database service built for the cloud, but you can also run it on an instance or instances that you own. It supports most of the features you expect in a traditional database and does not charge for features like backups, replication, active-active availability zones, and multi-AZ deployments.

If a failure occurs, Amazon Aurora allows you to recover your data without manual intervention in seconds or minutes by starting up a new copy of your database from your most recent backup.

Amazon Aurora is a serverless database for applications that require SQL database support. It provides a low-cost, high availability, fully managed database service without requiring you to manage hardware or software.

 4. Benefits of Amazon Aurora

1.Scalability

: Autoscaling feature can be enabled depending on your storage requirements.

2.Security:

You can isolate your network where your database is running using Amazon VPC. Usage of AWS Key management service to create encryption keys for protecting your data

3.Cost Effective:

Only pay for the storage space and processing power you use. No upfront costs or other pricing. Just simple monthly payments.

4.Fully Managed:

  • Very easy to start with Aurora. You just have to start an instance with the AWS RDS console or call an API in your code.
  • Aurora provides monitoring using Amazon CloudWatch for no additional cost.
  • You do not need to worry about updating, upgrading, or provisioning. Everything is under Amazon’s control and they do all the software patching when required.

5.High Availability & Durability

  • Aurora replicas can be created in multiple Availability zones.
  • It is a global database that can be distributed across multiple AWS regions which could reduce the local read/write speed.

6.Migration Support

  • pg-dump and MySQL dump commands can be used to migrate your local database into Aurora

 

Conclusion

Amazon aurora will be a great choice for those who hate waiting for their orders to arrive at their doorstep since it only takes two hours or less for delivery for most cases.

 

 

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