Learn about Amazon Relational Database Service (or Amazon RDS), a distributed relational database service by Amazon Web Services (AWS). Learn to demonstrate some key features and guidelines you need to know to get started with it. Simpliv’s expert Manuj Aggarwal brings you all this at just $9.
Description In the past decade, cloud computing has been gaining popularity at a tremendous rate. Some cloud providers are experiencing a growth rate of 50% year over year – which is just astounding. And the reason for this growth is obvious – cloud computing enables ubiquitous, convenient, on-demand access to a shared pool of configurable computing resources which can be rapidly provisioned and released with minimal effort.
Amazon Web Services is a cloud computing platform that offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications.
Ever since its inception - the relational database management systems have gained tremendous popularity across the world. Recently NoSQL databases like MongoDB has also gained a lot of traction - but still, RDBMS remains the de-facto choice of engineers when it comes to storing structured data. According to some estimates - relational databases are used in more than 90% of the software projects out there.
With the advent of cloud computing - solution designers and architects had to deal with some unique challenges while attempting to migrate their relational databases to the cloud. You see, relational databases need high-performance hardware and disks to perform at the peak level. But IaaS cloud computing services provide us with virtual servers - which store their data on network connected disks. So to manage relational data in the cloud - we needed a specialized PaaS (platform as a service) which provided adequate hardware and redundancy to relational databases. To continue:
Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.
This article explains how to develop ETL (Extract Transform Load) jobs using AWS Glue to load data from AWS S3 into AWS RDS SQL Server database objects. ETL is one of the widely-used methods for data integration in any enterprise IT landscape.
Take a look at some of the top cloud migration services you can use to migrate your services from on-premises to AWS Cloud. You need to understand the general terms of this field.
To move or not to move? Benefits are multifold when you are migrating to the cloud. Get the correct information to make your decision, with our cloud engineering expertise.
In this tutorial I will explain how to create a AWS RDS database and integrate it with Firebase cloud functions. This was something I learnt after figuring out that as your application scales up, you will need to move away from Firebase Realtime database or Firestore database in Firebase because the cost increases as the data grows exponentially especially transaction data. In one of my early articles, I wrote which Firebase Database is better and when to use which article. But both of them are not good enough when your application scales up because of the high cost associated to them. Firebase cloud functions integration with AWS RDS database