Need of the Hour: The Paradigm Shift in Technology
IT is always evolving. Read about some of the major arenas where we are shifting to higher-performing, more secure, faster systems and developers must keep up.
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There comes a time when we need to shift from an existing level to the next to stay ahead in the race or save ourselves from becoming obsolete. This is known as a Paradigm Shift, switching from what you have to a new but feasible level.
In the world of technology, this shift is mandatory as, every day, we see a new, fast, error-proof and cost-effective technology. In this article, I would like to bring in some such areas where we are shifting rapidly. This list might grow and I urge you to keep listing them in the comments!
This is undoubtedly the first thing to discuss because we are moving away from hardcore security to social, but still not compromising on security. Confusing!
Think to a few years back when no devices were allowed inside the development center and we even had to work behind a highly secure internet firewall using a protected network. Now there is encouragement for BYOD (bring your own devices) and PDAs. We have also started to socialize more than we were used to. Are we compromising security here? I think its a no. Instead, we are increasing work velocity and productivity by moving away from these physical constraints toward the cloud. Cloud systems are configured for security and are cost-effective and not bound to any local redundant security.
Internet of Things (IoT)
Here's another hot topic where we try to link everything with the web. Before, when we developed a mechanical or electrical device — let's say a simple TubeLight — the main focus was its longevity and consumption effectivity, but nowadays, it's being fitted with ICs that will connect it to the internet and we can switch it on and off with a voice command even from 1,000 miles away. This technology helps to shift the thought process of development to kinds of stuff that were not thought of earlier. Devices like Amazon Echo and Google Home are becoming common products. Even domains like travel, healthcare, and insurance are taking advantage of these products to evolve and stay ahead in the market.
Data and Information
With technological advances, we experience the challenge of storing information and data and even more. The challenge is providing faster access to that information. This problem was addressed by moving away from datastore technologies like RDBMS to Big Data systems. This not only eases the storing of huge amounts of information, but also managing that information. To eradicate the challenge of faster access and availability throughout the globe, we again take advantage of cloud storage like Amazon S3, Azure Storage, etc, which are fail-safe and cost-effective, as well. To add icing to the cake, we can integrate data analytics and business intelligence (BI) tools to analyze that information and take advantage of the reports.
Machine Learning and Natural Language Processing
Have you ever thought of making a machine learn on its own to help you increase your productivity? We are shifting our focus to make the machines we build learn on their own. In fact, we are trying to create the equivalent of human brains inside machines so they can learn and process work without human intervention. These technologies compel the development of machines to adopt those technologies that support Machine Learning and know how to understand natural language. Insurance companies are now more inclined towards these technologies to maintain their compliance and serve the insured faster. That is why we move towards using AWS and Azure Machine Learning services.
Development Platform and Deployment
All the above shifts require a flexible, faster, and reliable development platform to ease development complexities and promote developer-friendly, stable systems. Development is not the only pillar here as the solution should also adapt to continuous changes, and more importantly, be available all the time, up and running for server users. For these reasons, we are moving development platforms to virtual spaces like Docker and cloud services like AWS Workspace so they won't be dependant on anything. We are using many tools such as Jenkins to deploy changes continuously. We are considering serverless deployment techniques like AWS Lamba and Azure WebJobs. This provides a secure, reliable, and cost-effective platform for our application, and along with that, frameworks like Spring Boot help leverage microservice architectures.
I hope this information helps you understand the need of the hour for paradigm shifts in technology. As I said earlier, please feel free to keep on adding information which might help people learn new things and grow. Happy coding!
Published at DZone with permission of Sovan Misra, DZone MVB. See the original article here.
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