Skip to main content

Enterprise Applications - A major shift in happening

I have been tracking the paradigm shifts (long since my college days) as the technology evolves. Seen the days of single machine / single user / silo applications to the current trend of complex, distributed, multi-cloud, auto scaling systems. If that is not enough the disruption of machine to machine communication in the form of Internet of Things taking this to a next level.

This did not happen overnight. It is a sequential evolution of technology over multiple grow-stabilize cycles over the last 50 years with each new technology triggering a new cycle.

Now the rapid adoption of cloud, big data coupled with newer technologies triggering the new cycle which is going to reshape the fundamental of enterprise application development and consumption models.

In this new shift that we are witness now...
  • OOP is no longer would be the preferred programming style
  • Next generation application architecture pattern to address auto-scaling, fail safe mechanism
  • Next generation app platforms with built in capabilities to decouple technical architecture complexity
  • Dev and Ops are no longer silos
  • No yearly, half-yearly, quarterly delivery cycles but multiple time in a day though continuous delivery
  • Applications deployed in virtual containers or capsules
  • Enterprise application are delivered through a consumer centric App Store model (not a mobile app store but an enterprise app store)
What else? We need to wait and see

Comments

Popular posts from this blog

Just Buzz... Where is AI?

Speaking to Recode’s Kara Swisher and MSNBC’s Ari Melber, Pichai said AI is “one of the most important things that humanity is working on. It’s more profound than, I don’t know, electricity or fire,” adding that people learned to harness fire for the benefits of humanity, but also needed to overcome its downsides, too. Pichai also said that AI could be used to help solve climate change issues, or to cure cancer. We are seeing some exciting things in the industry, Samsung’s massive 8K TVs apparently use AI to upscale lower resolution images for the big screen. Sony has created a new version of the Aibo robot dog, which this time promises more artificial intelligence. Travelmate’s robot suitcase will use AI to drive around and follow its owner wherever they go.  Kohler has invented Numi, a toilet that has Amazon’s Alexa voice assistant built in etc., But despite all this, it does leave me wondering: is artificial intelligence really what we should be calling this revolution?...

Evolving App Paradigm

Over last two decades we have seen enterprise application landscape changing very rapidly with rapidly evolving technology stacks and changing industry dynamics. It is time for another paradigm shift in terms of how we conceptualize, design, develop, test and maintain our applications to meet volatile business requirements. Some of the prime features of this evolving paradigm Flexible business user centric infrastructure (than IT centric) IT as a service model with emphasis on user self service. Flexible development and deployment infrastructure which is readily available over cloud (no setup time, no high budgets and initial spending) Develop application using modern development languages which help improve the developer Usage of more dynamic meta programming languages Reusable assets, code generators, ... Build once and run anywhere across platforms and devices End-to-End application lifecycle integration through ALM and DevOps Improve communication and collaborat...

AI gets smarter and more practical

We all know AI is coming to the forefront of technology in the form of machine learning (ML) and deep neural networks, where AI can understand the surroundings and apply that information to the current context, whether it is about data pattern analysis or driving a vehicle. Coupled with increasing capabilities of AI hardware, in 2018 we can expect: AI research will reach new heights in the fields of neural networks and generative adversarial networks. Cooperative learning among networks will lead to hybrid intelligence. Continuous evolution of AI will empower enterprise-scale business processes with intelligence and agility. AI will redefine the IT landscape with smart machines and borg systems. Read the complete article on DXC technology trends for 2018