Cloud computing — computing that’s done on cloud-based servers that are managed and operated by a third party — is an excellent way for companies to increase their own computing horsepower, improve their storage, and reduce their management costs.
If you run a typical in-house data center, you’re already familiar with the problems of managing your storage and bandwidth, as well as dealing with cybersecurity concerns. Now imagine trying to run these additional use cases below with your existing setup without spending any extra money, buying any new equipment, or hiring expensive new staff members.
With cloud computing, you can reduce your overhead and increase your capabilities, and that still leaves you plenty of capacity to try one or two — or even all — of these.
- Software-as-a-Service. A lot of today’s enterprise software is resource hungry, requiring heavy-duty servers just to operate the software and process all the data and information fed into it. You can upgrade to bigger, more powerful servers for a fraction of what you can buy them for. And when they become obsolete in a year or two, you can upgrade without any loss of performance or major hit to your budget.
- Live event streaming. Imagine live-streaming a conference, concert, or other special event, and trying to handle all the download requests coming from outside your office. A cloud computing setup can handle all the processing as well as the delivery bandwidth without taxing your own servers and Internet connectivity.
- Data processing. Thirty years ago, if you had a large numbers-based problem you had to solve, you might have to book time on a university’s super computer so the system can process your problem for a few hours. Nowadays, modern servers are more powerful than those early super computers, but rather than tying up your own servers for major data processing projects, turn it over to the cloud-based servers
- IoT Data Processing. If you have a lot of IoT devices in your operation, you can either run them on your in-house server, or you can process their messages and data on a cloud-based server. This is more ideally suited to devices that don’t require near-instantaneous responses (e.g. self-driving cars), but when 5G networks become widely available, expect to see more IoT data processing take place in the cloud.
- Video and image editing. If you’ve ever tried to edit a video or use a resource hog like Adobe Photoshop, you know how badly your system can bog down, especially if it’s underpowered in the least bit. You can operate your video and image editing software in the cloud and your powerful new server will be able to handle the processing load without any trouble. You can also use Amazon’s Rekognition service for facial recognition, such as recognizing employee profile photos, or automatically process and reformat uploaded images in batches, or even one-by-one at high speeds.
- Remote access from global employees. Rather than asking remote workers to VPN into your home server, they can more easily access their necessary data, IP, and enterprise software applications on a cloud computer. With the right servers, the access can handle more employees and still process all the information faster and more efficiently than an in-house data center.
Cloud computing is becoming the best way for companies to add terabytes of storage and processing to their company computing requirements, but without adding a lot of costs and extra hardware in an already-cramped data center. To learn more about how Value Global can help you do that, please visit our website or contact us for a demo with our representatives.
Photo credit: Minka2507 (Pixabay, Creative Commons 0)