In this modern age of technological advancements and innovations, more and more businesses are heading towards compelling approaches for their agility and resilience. Offshore companies and third-party collaboration is becoming the new normal.  In addition, companies across industries are under tremendous pressure to develop and deploy IT applications with far greater efficiency. This paves the way for businesses to take advantage of compelling platforms, such as cloud-native platforms, for their flexibility, scalability, and cost savings.

Cloud-native (CN) is a broad term that is used to define a container-based environment. In this regard, cloud-native technologies are built with packaged container services. Such services are used to develop applications that are deployed as microservices. Software containers, microservices, and software-defined infrastructure are the best examples of such applications. 

Gartner defines Cloud-native applications as follows: 

“Basically cloud-native platforms are such technologies that allow businesses to build new application architectures that are agile, elastic, and resilient. Such platforms allow businesses to react to rapid digital transformations. ”

Before jumping into the comparison between cloud-native platforms and traditional enterprise platforms, let’s have a look at some jaw-dropping statistics: 

  • 23% of the organizations run 5,000+ containers. 
  • 38% of the organizations pointed out known unpatched vulnerabilities as CN security incidents. 
  • 45% of the organizations implied misconfiguration as cloud-native security incidents. 
  • 59% of the backend developers have used containers in the last 12 months. 
  • 85% of the enterprises still favor batch-oriented techniques.  
  • The Italian cloud market will strike the figure of 3.84 billion euros this year as compared to the 3.32 billion the previous year. 

Now that you are somehow familiar with the CN platforms, so without any further adieu, let’s lay our eyes on the comparison between cloud-native applications and traditional enterprise applications. 

Predictable vs. Unpredictable 

Cloud-native platforms conform to a contract or a framework designed to maximize resilience via predictable behaviors. The container-driver and automated infrastructure that is used in cloud platforms drive the way software is coded. The best example of such a contract is depicted by the 12 principles, which were initially documented as the 12-factor app. 

On the flip side, traditional cannot realize all of the advantages of running on a CN platform due to the unique method every application is developed or architected. Such sort of application usually requires much time to build, infrequent batches release improvement in big, scales up instead of out, and presumes dependent services offer high availability. 

OS Abstraction vs. OS Dependent 

A cloud-native architecture provides developers a means of abstracting away underlying infrastructure dependencies. Teams focus on software instead of patching, configuration, and maintenance of the operating systems. The formalized platform is the most efficient means of abstraction. 

On the other hand, traditional application architecture allows developers to build close dependencies between the application and underlying operating system, storage, hardware, and backing services. Versus the cloud-native model, such dependencies make migrating and scaling the application across new infrastructure perilous and problematic. 

Right-sized Capacity vs. Oversized Capacity 

A cloud-native platform automates infrastructure configuration and provisioning, dynamically allocating and reallocating resources during deployment on the basis of the application’s requirements. Development of the cloud-native runtime optimizes application lifecycle management, including resource utilization, scaling to meet needs, orchestration across available resources, and recovery from collapses with minimum downtime. 

In opposition, traditional IT designs a custom and dedicated infrastructure for an application, deploying deployment of the application. The solution is often over-sized and built to satisfy worst-case capacity estimates with a petite ability to scale beyond design limits to meet requirements. 

Collaborative vs. Siloed

Cloud-native architecture eases DevOps. DevOps is a combination of process, people, and tools that increases collaboration among operation teams and development teams to speed and streamline the transfer of completed application code into production.  

On the contrary, traditional applications use an over-the-wall handoff of finished application code from developers to operations. Organizational priorities take preeminence over customer value, resulting in internal conflict and compromised delivery and poor staff enthusiasm. 

Continuous Delivery vs. Waterfall Development 

IT teams make individual software updates available for release when they are ready. Organizations that deploy software swiftly get a tighter feedback loop and can respond effectively to customer requirements. Cloud-native platforms offer continuous delivery, which works best with other related approaches, such as continuous integration and test-driven development. 

Contrarily, traditional enterprise platforms offer waterfall development. IT teams deploy software periodically, typically at intervals of weeks and months, despite the fact that several components of the release may have been ready much prior with no dependencies. Features that customer demands are delayed. As a result, business misses opportunities to compete, win customers’ trust, and grow revenue. 

Independent vs. Dependent 

Cloud-native applications are independent. Microservices architecture decomposes applications into loosely coupled, small, and independently operating services. Such services map to smaller, independent development teams. Moreover, such services make frequent updates, scaling, and failover/restart possible without impacting other services.  

Contradictorily, traditional enterprise platforms are dependent.  Monolithic architectures bundle several disparate services into a single deployment package, causing unnecessary dependencies among services. This leads to the loss of agility during the development and deployment.  

Choose the Best 

The modernization of digital transformation and IT infrastructure go hand in hand. More than a trillion dollars in value will be granted via the implementation of digital initiatives over the next three years. However, IT departments are facing challenges with the disruption that comes with transformation. Thankfully, they are confident about their potential, stability, and resilience. Digital transformation works with the implementation of procedures that are significant to sustained development, growth, and innovation. On the other hand, cloud-native platforms offer flexibility, agility, and dexterity that play a pivotal role in accelerating digital transformation. Hence, businesses of this modern age should make choices according to their infrastructure and requirements. 

At ArhamSoft (Pvt) Ltd, we acquire cloud-native platforms as they offer businesses scalable hardware decoupling. Our dedicated teams work hard to streamline infrastructure management with deployable applications that ameliorate competitive limitations. Acquisition of such platforms provides us ease of management, faster release, reliable systems, reduced costs, and auto-provisioning. On top of that, implementing such sorts of platforms helps us improve the software development lifecycle, which takes care of the bugs autonomously and slow loading speeds.