Amazon RDS

We use Amazon Aurora as one of the databases used for hosting a product in our Edtech SaaS Platform GIDE.AI.

We started using RDS as an alternative to our BE system since, at the beginning, the team did not have experience or knowledge about BE frameworks, but it was necessary to maintain a relationship between the data of the projects being executed and the RDS services of Amazon were of great help, since it is an out of the box solution. As well as it also served as a starting point to understand how our BE system should be structured later.

We use RDS to manage all of our SQL databases for multiple billing and payment applications. This includes Aurora and PostgreSQL databases with millions of records and several terabytes of data. These databases are accessed in real time by web applications that handle the requests from thousands of users. RDS handles backups, security, and compliance by default.

We are using RDS in storing all our products and their information.
We have hundreds of brass products and we have maintained all our product database with RDS.
It is quick and easy also we have assigned to roles to avoid access to unauthorized users.
We have different databases of products depending upon our audience and purpose.

We use RDS as a database service provider for multiple eCommerce and small business websites to deliver configuration and content data to several mainstream service softwares. We use this as a rate-based, scalable alternative to cPaneled phpMyAdmin setups. More control means throughput and service level can be increased instead of being subject to server limitations.

RDS helps us with the management of our database - setup, version upgrades, backups, optimization, configuration management and so on. It saves us a lot of time.

Adding read replicas or growing our database laterally (by adding instances) or vertically (by increasing instance size) is simple with RDS. This adaptability guarantees that our database can manage rising workloads. RDS offers daily automated backups and lets our specify retention times. Providing choices for data recovery, we can restore our database to any point throughout the retention term.

We utilize Amazon RDS to host our PostgreSQL database. RDS instance serves as the repository for all our application's data, and it has proven to be highly dependable. One key benefit we found of using RDS is its scalability. We can easily adjust the database capacity to accommodate our growing data needs without significant hassle. This scalability ensures our application can handle increased user demands without compromising performance. Amazon RDS offers convenience in managing database operations. Routine tasks such as backups, software patching, and monitoring are handled seamlessly by the service, freeing up our team to focus on other critical aspects of our application. Also, we've found RDS to be cost-efficient as we pay only for the resources we use; we can effectively manage our database costs and optimize our budget allocation.

We are using it for storing our mysql and postgress database. We are alreardy using the AWS EC2 as compute engine so it makes easy to access it within the internal access and for better security purposes. So any external person cannot access it and our database remains safe. We are owning multiple RDS Engines for different product services.

We use RDS to host our database with ECS. All our data goes into RDS, which is easy to maintain and scale. RDS solves our main problem, which is cost. It is cost-efficient and faster, giving our product a seamless database service.

We are using it as a managed service for our Postgres database management. It is easy to use, maintain, and configure, with no administration headache, logging and monitoring come out of the box. It also supports backups and recovery. It has all the security considerations that we need for production-scale database.

We use RDS to manage multiple MySQL instances across our environments for production, toolsets, replication, and backup.

We used the Amazon RDS to connect to our WordPress site. We wanted minimize the support and maintenance of our database server. Backups and one hundered percent uptime were the main priorities. Speed is important but it was not the main concern. Sometimes we would see the MySQL server crash in our VPS so we wanted to have a seperate database service. We wanted to isiolate any crashes.

I use Amazon Relational Database Service (Amazon RDS) to make it easier to set up, operate, and scale a relational database in the AWS Cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. I've really enjoyed this product so far and would recommend it to others for a variety of reasons.

We use it to store information for internal applications and public-facing information that will be dynamically pulled to render pages.

We need 100% uptime and scalable database which RDS provides us with read/write replicas. Moreover it offers security features such as encryption at rest and in transit, authentication, and access control. This helps us meet our security and compliance needs. We store and manage product catalogs, customer data, order histories, and more. RDS ensures data consistency and reliability, which are vital for e-commerce operations

We have a Kubernetes cluster and we use RDS to provide a relational database to each application deployed on the cluster. We take advantage of the multi-zone potential that RDS offers and the possibility of autoscale that RDS offers us.

We have been using Amazon RDS as our production database. Even with all our products we have been using RDS. RDS is a highly managed database and easy to setup other things like monitoring and auto scaling of database. A managed database reduces a lot of the headache of managing, maintaining, and other tasks related to database.

I use RDS because we are migrating from MySQL on-prem to the cloud. This will result in less work and maintenance for us in the long run. We have moved almost all our on-prem workloads and are pretty happy so far. The interface for AWS is a bit hard to learn but we are getting used it to.

I have used it for both PostgreSQL and MySQL databases. It was a way to host our database services when we were utilising the AWS services. So we had one for the staging-development environment and one for production. It was fast and functional so we were happy working with it. It is managed by AWS so we don't need to take care of updates. It's helpful to set a maintenance window. It has also snapshots that helps to keep our data safe.

We are using it to create database instances for dev and using Aurora for making our effort of managing database, backup with zero effect. It helps us to scale our application in all regions.

As we have many customers in different countries we are creating one [Amazon Relational Database Service (RDS)] instance for each country and then splitting it by usage. Nowadays, all our data it's being created and stored in RDS and moved to Redshift afterward. The main purpose to have it on RDS is trustability and easy maintenance once we can connect from a client directly to our instance.

Amazon [Relational Database Services (RDS)] is deployed as a primary datastore for a number of applications within our infrastructure. It allows us to offload the typical Database Server Maintenance/Configuration and even System Management to Amazon, which ultimately reduces the cost of our System Administration overhead. Amazon makes it very easy to customize the configuration for each RDS deployment with a number of database engines, as well as set up automatic fail over, automated backups, and the ability to resize your database deployment seamlessly, should your application requirements call for additional resources.

Amazon Relational Database Service is used for spinning up test scenarios or alpha test of products. In addition, it's utilized for creating environments that may or may not be used in the long term. Excellent product for its flexibility, and lack of need for long term capital expenditures or commitments. Easy to utilize and purchase. It's a very friendly platform to use in agile environments, or in organizations that are in either an early startup mode, or rapid growth/expansion phase.

I have used the Amazon Relational Database Service on behalf of a customer that was creating a mobile game that had elements of e-commerce. We needed something that was scalable, easy to implement, only charged us for the resources that we used, and had excellent customer service as this was a new project for our agency. ARDS checked every box.