Over the last half-century, it is hard to argue that there has been any other entity of our society that has been more influential than the development of computing technology. From simple binary computing systems to countless lines of computer code that make the world an easier place to live, the amount of growth that software computing systems have undergone is astounding. The amount of time it takes to deploy a simple application in a few minutes today would have taken thousands of hours to accomplish a few decades ago.

But in many cases, as something rapidly grows such as an industry like software development, there lies an inherent challenge for human beings to keep up and manage that growth. From an organizational perspective, creating a deployment strategy for new computer systems is one of the largest problems large enterprises face. Fortune 500 companies that have been around since the 20th century have been trying to catch up to the innovation that technology giants like Amazon, Facebook, or Google have brought about. They face some of the largest business challenges when learning to adopt new ways of incorporating technology to positively affect operations.

Thus, organizations need technology leaders with brilliant minds for business, in order to scale and remain flexible. Automation is creating more efficient business processes, and if you are a business leader today you have to consider implementing effective systems to stay competitive.

So the question is, how can we choose a technology deployment strategy that will allow businesses to remain flexible and scale? The answer lies in the emergence of Microservice based software architecture, a systems engineering and software development philosophy that has made building, testing, deploying and scaling new applications a more manageable and successful process. Technology leaders like Amazon, Netflix, Paypal, and Uber have all adopted this philosophy. And technology-driven organizations that are looking to stay competitive for the long term and scale effectively businesses are following suit. In a recent survey, 67 percent of companies that have adopted microservice based architecture saw benefits to the adaptation within 12 months of switching over.

But there has also been another revolutionary change in the cloud computing space that adds another caveat to the complexity that enterprises will have to deal with moving forward. In the last decade or so, the commoditization of data
storage has led to the ability to build and deploy effective algorithms for making sense of massive datasets. This has led enterprises to lead digitization initiatives and strive to become data-driven organizations. This means that companies see the value in all of this data they are accumulating, and are planning to rely on automated data models to make better decisions through the deployment of analytics applications. A great example of this can be found at one of the United States most successful and long-standing companies in its history, General Electric. For the longest time, GE
was solely a manufacturer of machines. Now they are marketing themselves as a data-driven technology organization, who has a business division called GE Digital which is currently scooping up some of the top data science talents
and most experienced technologists in Silicon Valley to build their digital platform that allows for machines to talk to one another.

Major shifts like these disrupt the way industries think. In order for technologists to be as productive as possible in this new age of technology, we need a software development philosophy such as Microservices Architecture that will wrangle all of
these new developments in the cloud computing space. With the adoption of this philosophy, we can create applications that brilliantly work in tandem as we enter an age of endless innovation.

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Transforming Business with Microservice Architecture