Amazon Aurora

In our organization, we leverage Amazon Aurora as a critical component of our database infrastructure. Aurora is a high-performance, fully managed relational database service that provides compatibility with MySQL and PostgreSQL. Our organization uses Amazon Aurora to address several business problems and improve the efficiency and reliability of our applications.

We use RDS/Amazon Aurora for some of our legacy databases that we need to retain for governmental reporting on a low frequency basis.

Amazon Aurora is a relational database service offered by AWS that is designed for high performance, availability, and scalability. It's compatible with MySQL and PostgreSQL. We use both MySQL and PostgreSQL for our client databases. Depending on our needs.

A perfect and powerful database management system, I received this application from one of my colleagues, after changing from many DBs like one them is MongoDB.
It has a powerful life of taking a huge amounts of data, as for long I have been working with data, I wanted a powerful and well working database system for working efficiently and effectively with my data works, well this application has a cool and powerful chain system for making relationships with various data. I loved it.

It is very useful

Amazon Aurora helps me and my organisation to collect and review in the course of analyzing the query performance. It is very persuasive in nature. Even we can write codes using three easy accessible steps and even it stores six backups eventually while writing the codes in their platform. Best thing about this Aurora is if our one of the instance has been failed this will automatically use replicas to repair them and also create new instance automatically. Even their servers are clean and their indexing capabilities are complete.

As any company that have to use a database to store information not only for the business data but also for different applications, we decided to use Aurora MySQL to ease the administration and be safe that AWS will handle all patching, updates, backups and maintenance of the database.

Amazon Aurora is characterized by high availability and performance in the cloud that few tools of the same characteristics offer, the cost is initially 10GB for free, but then costs increase but the amount of capacity used, however it can be really low and its use guarantees integrated security, with regular backups and fully protected by the Amazon Aurora system. It's a fully managed system which reduces the workload and automates many daily tasks that would take a lot of time to perform manually. Another important point to take into account is that the tool automatically recovers from any failure, if one of our instances fails the system uses replicas to repair them creating new instances automatically.

We use Amazon aurora to manage large quantities of data for our company. We are able to see different challenges and positives that we are having. It is useful to use in our case because we manage a large amount of data. This relational database is user friendly that we can assign our college hires to use

We use Amazon Aurora as our primary database used for hosting our Edtech SaaS Platform GIDE.AI

We use Aurora MySQL for the database of Magento 2. This handles the load very fine and is has 100% uptime with low resilience and no packet loss. Moreover we use Aurora for scalability from the Read replicas used for read transactions and scaling the database. The restore in time feature also allows us if we need to restore the database for specific time of the day.

Our day to day work requires the handling of sensitive information day in and day out. That being said - Security and backups are absolutely crucial to the company's ability to successfully and ethically work. Amazon Aurora provides these services on the front and back end simultaniously while we focus on our objectives.

We used Amazon Aurora to see how to increase the efficiency and learn AWS Services. Amazon Aurora Serverless is an on-demand, autoscaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. You can run your database in the cloud without managing any database instances. It is easy to use and super secure. On a data base instance running with aurora encryption, data store automated backup, replicas and snapshots in the same cluster.

Amazon does offer two relational database services, namely RDS and Aurora. While both very similar, there are key differences in how they persist data on disk. RDS uses EBS volumes, which are limited up to 16k concurrent IOPS. On the other hand, Aurora uses a virtual storage cluster that supports up to 80k concurrent IOPS. When dealing with large clients whose database usage might exceed the 16 concurrent IOPS threshold, Aurora was the preferred choice to ensure higher availability.

I use Aurora to integrate it with the SaaS product which helps in database encryption as data security is an important aspect of the product I work for. Also the automated multi-Region replication, and integrations with other AWS services helps me use Aurora with more ease.

We use Amazon Aurora to be as efficient as possible with our business. Specifically with data Amazon Aurora, we're able to store and aggregate the date we collect and use it to our advantage. It helps us find opportunities to pursue and other that aren't worth working towards. There are so many opportunities in this world and Amazon Aurora helps us decide what is to focus on.

Cloud services are the trend. No infrastructure costs and no worries. Cloud databases are also the trend, as they can be easily scalable and upgraded. As a senior consultant I recently configured an Amazon Aurora database to serve as the back-end of an organization software. This software included a main server providing services for mobile applications and also as a back-office web application to manage transaction information. These services relied on the Amazon Aurora database to collect and save information. Customer needed a database accessible from everywhere, with high availability, fast, always up to date and scalable as it was expected the business to grow as well as its storage needs. The Amazon Aurora turned out to be a stable solution with high performance when compared with in-house solutions like MySQL.

Aurora is our SQL solution for users, events, articles, and more. Aurora provides convenient scaling and availability in different physical locations.. The security and scaling are automated to support peaks in traffic and save money when it's quiet. The integration with other AWS services makes it convenient for us to use in all applications. The SQL language support made the migration from a dedicated MySQL server seamless in our codebase.

We use Aurora as the de-facto DBaaS product for hosting our Relational Databases, primarily MySQL. We have over 100 MySQL clusters (Master, Slave) across the microservices and the 5 global regions where Capillary's SaaS products are hosted. Prior to Aurora, all our databases were self-managed and hosted on EC2 instances with EBS volumes, having provisioned IOPS, for storage. As our system scaled, the management of the databases became a full-time job. Also, configuration management, upgrades, and regular maintenance started eating into the team's bandwidth. Furthermore, the chances of human errors and the consequent outages increased with the increase in the number of MySQL set-ups. To address these concerns, in early 2020, we migrated all our MySQL clusters from EC2 to Aurora. The Aurora service hosts over 400 TB of data, and the Aurora instances vary from 4 cores, 32GB RAM to 32 cores, 256 GB RAM configs. The storage layer varies anywhere from 200GB to 30 TB. In a nutshell, all relational, OLTP use-cases for the 700M odd end-consumers touched by Capillary's platform and served out of Aurora.

Amazon Aurora offers a secure database for the functional requirement. The query system is very responsive and generates insightful metrics. The application has an efficient space management feature and is quite capable of storing big chunks of data. The feature is beneficial in instances where we need to take a backup of the entire drive and access data from a remote location.

Many teams at my company use Amazon Aurora for database provisioning and management. In my teams case, we rely on the "out of the box" capabilities of Aurora to give us open-source compatible databases that are highly available, fault tolerant, and self healing. The main problem that Aurora helps us address is minimizing the amount of time and effort we spend on deploying and managing our database infrastructure in addition to the data stored there.

We use it as our primary data store for customer data. It allows us to handle our large traffic load during peak hours. We use a variable number of reader nodes depending on traffic.

Amazon Aurora is essentially a relational database as a service on AWS. Since it is cloud-based, there are many advantages to its name. First of all, it is a server-less database which essentially means that you do not need to host a physical server and provide space for it. Secondly, it is a pay-per-use model which means you only pay whenever you use it, which is a great feature if you do not make everyday queries into the database. Since it is again an amazing product from Amazon, it fits very well in the AWS ecosystem. You can use it to scale your database as per your needs, no need to buy server space and resources in advance, then not use them. It can scale and descale according to your needs.