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.
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#cloud/aws-master-class #databases-in-the-cloud-with-aws-rds