Datanami, November 22, 2016
Every day, machine data or data gathered from the Internet of Things (IoT) data is continuously produced by almost every process businesses run, including storage, applications, servers, networks, sensors and security systems. By 2020, IDC projects that more than 40 percent of all data will be machine generated. It’s a giant snowball rolling downhill, and your company’s IT department is standing in its path.
The on-premises storage solutions of recent years weren’t designed to manage this amount of data, nor the speed of its growth. The public cloud should be the perfect solution for IoT data, as it offers almost unlimited storage and can be very cost effective. However, the solution isn’t as easy as it sounds. On-premises applications are often the ones generating machine data, so hosting that data in the cloud can lead to issues like latency and increased access fees. These setbacks threaten to put a serious dent in the value most companies envision they’ll gain from the public cloud.
How, then, can companies avoid being crushed under the weight of machine data growth without over-extending budgets and IT resources? Below are five guidelines to help make sure your company leverages the hybrid cloud world successfully and gets control of its machine data.