March 2, 2020
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With the recent explosion of cloud computing services, developers now have more opportunities than ever to take advantage of enterprise-scale computing platforms. However, most cloud computing services, such as Amazon's Elastic Compute Cloud (EC2), have unique and incompatible APIs. This has provided a challenge for organizations wanting to develop in-house applications that can later be seamlessly deployed directly to Amazon's service when necessary. For example, Ubuntu Server, a Linux-based operating system supported by Europe's Canonical Ltd, is the most widely deployed operating system on EC2, yet there has been no way for developers to create private, EC2-compatible cloud computing systems internally with Ubuntu.
AWS and other cloud computing giants have been enjoying bumper profits in recent years, which means startups must be spending more on cloud computing. Cloud costs can jump if you don’t keep an eye on your budget. Casey Benko recommends investing in cloud cost analysis tools to keep costs down.
One the one hand Big Data is supposed to be one of the best things to happen to IT since the invention of the database. After all, managing massive amounts of data should make IT more relevant than ever. But as Big Data continues to evolve it’s starting to look like managing all that data is beyond the scope of many IT organizations. As a result line of businesses are turning to raft of emerging Big Data services in the cloud that allow them to analyze massive amounts of data by invoking a relatively simple API.