Amazon RDS

There were plenty of custom web application running on our customer environment in local DB setup. It required lot of admin efforts and it caused development inefficiency. I researched and proposed the AWS RDS as out customer was having AWS platform already. With AWS RDS we cut down the efforts in managing the softwares and admin tasks. We are able to scale up as per demand for some high usage applications without any heckle.

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

As a Relational Database Service we have used AWS RDS because as a Banking and Fintech organisation we are dealing with millions of customer and as AWS provides this Managed service which is fully fledged with lots of feature like High Availability, Fault Tolerance, Security measures, In Depth Monitoring, Resilency, Query Suggestions and Very High Performance. Moreover this all set of features are available as one click solutions so we don't have a external headache to manage the Database we just have to focus on our Application.

Our company needed a reliable and fast solution for storing our customer data and Amazon Relational Database Service was a good choice because of all the set of features it offers. On top of the relational storage, our company could comply with market standards by easily having replication, backup, patching and user management easily implemented natively in the solution. What is also great about Amazon Relational Database Service is that you can manage everything using terraform, making it easy to reproduce the configurations in multiple environments.

Amazon Relational Database Service (RDS) is used in our company at quite a large scale. We have migrated all of our server infrastructure to the Amazon Web Services (AWS) cloud, so making use of the Relational Database Service was a no-brainer for us.
Most of our systems are connected to an RDS instance.

In healthcare, managing patient records and sensitive data securely is crucial. RDS offers encrypted storage, ensuring data security and compliance with regulations like HIPAA (Health Insurance Portability and Accountability Act). This encryption extends to data in transit and at rest. With RDS, you can set up multi-AZ (Availability Zone) deployments for high availability. This is vital in healthcare, where database downtime can directly impact patient care. In case of disasters, RDS facilitates quick recovery, minimizing data loss.

I used Amazon Relational Database Service for Databricks Technical Field Telemetry(TFT) Project, which is an internal project for field engineering teams where they manage customer engagement, interactions, feedbacks. This majorly helped to improve our product by managing each team, each individual performances, thus they can set targets for improvement plans. It also displays a hit score which is the benchmark for internal teams. We used Amazon Relational Database Service serverless to deploy the backend database, which is lightening fast, reliable DBMS.

Storing relational auditing data for our digital ecosystem which includes desktop website, mobile website and mobile apps to get meaningful insights so as to take next steps.

We utilize Amazon Relational Database Service to host MySQL RDBS to store the data related to custom apps for our dev environment. It's super easy & fast to set up the database instances in a few clicks from the AWS management console. A lot of times, the developers in our team aren't that expert when it comes to managing the database administration, & hence for this very reason, Amazon Relational Database Service is our preferred DB service as it simplifies time-consuming admin tasks.

We at Publicis Sapient has been delivering software solutions to many of our clients regularly. There is often the need to persistent data storage and we recommend to use Amazon RDS because it is easy to set up, the dev team don't have to dig deep in understanding about how to connect the Amazon RDS to the backend or how to invoke a request. The Amazon RDS has low learning curve which means the new dev team can work on it from day 1 without good deeper in terms of learning.

I utilize Amazon RDS as the backbone for content management and stored user information for our corporate web presence. I was looking for a scalable relational database that would be an easy transition with my background in MySQL. I didn't want to spend a lot of time setting up and managing replication and backup, and I didn't want daily maintenance tasks. RDS fit the bill nicely, and coupled with my EC2-based web hosting, provides a easy-to-implement security.

At our organization, we use it for our revenue management and some publisher application database services. It is also a component of our performance goals and SLA improvements, and is tied to our CI/CD processes and is a foundation for expansion because of its ease of use, low learning curve to implement, and backup services it can link to.

We use it as our main Mysql database repository. It is used to run our hub system which is accessed by retailers and applicants

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.

A certain business school have several data bases that are permanently updated with data coming from various sources. The challenge is that these data have several formats and templates, making it compliex to manage in an efficient and economic way. The need for a tool such as Amazon Relational Database Service (RDS) was imperative to improve management.

During one of our recent e-commerce projects, we encountered a significant database infrastructure challenge. The rapid growth in product listings and customer data led to frustratingly slow response times and concerns about data integrity. To address these issues, we made a strategic decision to migrate our database to Amazon RDS, which proved to be highly effective in bringing about remarkable improvements. Amazon RDS became the cornerstone of our database management strategy, offering enhanced reliability and high availability through automated backups and multi-AZ deployments. These RDS features ensured that our database remained up-to-date, secure, and consistently accessible for seamless operations. In particular, Amazon RDS played a pivotal role in significantly boosting website performance, elevating data reliability, and establishing a cost-efficient approach to database management. These contributions were instrumental in the overall success of our project, highlighting the transformative impact of Amazon RDS on our e-commerce venture.

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.

Amazon Relational Database Service (RDS) is simple to setup and makes scaling database in cloud a very easy task during high load scenarios. It supports backup and recovery. Amazon Relational Database Service (RDS) offers identity management that ensures people with assigned roles can only access the data. Amazon Relational Database Service (RDS) ensures availability of the workloads at all times and hence suited for production. It offers third party integrations also.

Amazon RDS is easier to configure for any application that has structured data. Use cases such as User profiling, referencing, Indexing for filters & dashboard reporting are easier to handle with Amazon RDS.
Scope of the RDS has broader spectrum but it includes adding/Editing/handling Use case history, audit log, and rational Data in flat tables.

Amazon RDS helps set up, run, and grow relational databases in the cloud with the aid of Amazon RDS, a managed relational database service provided by Amazon Web Services (AWS). There are several, but I'd want to focus on the most significant ones.
a)global Scope
b)cost-effectiveness
c)Security and many more

We use Amazon Relational Database Service (RDS) as a back-end database for our applications, both those we consume (as on-prem apps, not SaaS) and those we create for our customers (as a SaaS organisation ourselves). Amazon Relational Database Service (RDS) allows us to manage our databases in a serverless way, with scalability and with Amazon recommendations and management, without the overhead of running a server.

We have many uses for RDS in our organisation. My particular current use case is to hold a copy of an operational system's database for reporting purposes

A group of managed services known as Amazon Relational Database Service (Amazon RDS) makes it simple to set up, run, and scale databases in the cloud. We required a dependable and scalable database service because we run some highly trafficked websites. Our issue is that we run at least two database engines concurrently. then we use Amazon Relational Database Service (RDS)

we used AWS Rational Database as we needed to migrate a PostreSql database from another cloud provider to AWS. We needed a database that was reliable and high performance but at the same time also cost effective and configurable to my company's high security standards. The Database also had to be connected to the Backend inside a VPC with no possibility of being exposed to the public.

My team built a new app from scratch, & when we need to select a relational database, AWS RDS came naturally. The majority of the company's infrastructure are on AWS already. Needless to say, we setup a new RDS cluster from scratch, discover new requirements to our need, then upscale / upgrade the cluster multiple times already. Not having to get our hands dirty with all the configuration & operation specifics of MySQL is just pure bliss.