Coolly Process Your Gigantic Mountain of Data with Scalable Cloud Computing

Mountain of Data

Over 60 percent of a company’s IT budget required to keep things running. It’s a widely reported estimate. This budget leaves limited room for updating old technology or introducing innovative tech into the workplace.

The mountain of data from multiple devices, emails, and orders which needs processing continues to grow as a business expands. IT struggles to keep from drowning, and older hardware fails more often. What is a small but expanding business to do?

Utilizing scalable cloud computing allows for excellent flexibility in your systems. The reduced downtime and ability to adjust to changing demand quicker give your business better growth potential. And lessens those growing pains.

Auto-scaling or automatic scaling adjusts computing resources as the load on the server network increases or decreases. The result is lower costs as servers not needed sleep when the workload is low.

Load balancing is another scaling method. This system distributes workloads across multiple computing resources. When demand increases, no one server network is overworked while the others twiddle their thumbs.

Containers and container orchestration represent another way to handle scaling. The different services which constitute an application get broken into containers. These containers get handled by multiple computing resources. Container orchestration coordinates the handling of the containers according to demand on the computing resources.

Most cloud providers such as Amazon AWS and Microsoft Azure offer these scaling options. The IT department can choose the best one for business requirements. Cost reduction and downtime minimalization are the outcomes.


Author: Kris Keppeler, writer for Crossing Genres on, and Does This Happen to You? on Channillo. Award-winning podcast producer. Follow her @KrisKKAria on Twitter or on LinkedIn.

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