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Cloud Native, the Strategic Choice for Modern Companies

Kirey Group

  

    Businesses' competitiveness is closely tied to their digital ecosystem. From productivity to relationships with clients and stakeholders to mission-critical processes, everything relies on digital systems that must be reliable, efficient, scalable, and always operational. 

    User expectations have never been higher: Applications must always be responsive, platforms must scale quickly, and services must ensure operational continuity despite unexpected demand spikes or crises. For businesses, this means tackling the challenge of modernizing their digital infrastructure by embracing models designed to meet these needs without compromising stability or security. The Cloud Native paradigm was created to address these needs. 

    What is Cloud Native and Its Connection to the Cloud 

    Cloud Native emerged about a decade ago and has become increasingly central to technological discussions. From the start, experts emphasized that it is not simply synonymous with "an application running on cloud infrastructure" but rather concerns how software is developed, distributed, and managed. 

    Cloud Native applications are designed from the ground up to maximize the characteristics, services, and advantages of the cloud. They rely on distributed architectures, scalable services (such as those provided by major hyperscalers), and modern approaches like DevOps, which integrate development and operations into a continuous cycle of improvement and automation. This clearly distinguishes them from traditional monolithic applications, which are often migrated to the cloud infrastructure without adopting native paradigms. 

    The connection between the Cloud Native model and the cloud itself lies in its very foundations. An application built using modern technologies and advanced paradigms requires infrastructure and services tailored to perform at their best. For example, microservices, which are one of the pillars of Cloud Native, must be distributed and orchestrated in dynamic environments that guarantee flexibility and high availability. Cloud infrastructure inherently offers this elasticity, positioning itself as the enabler par excellence of the new paradigm. 

    The Pillars of Cloud Native: From Microservices to the DevOps Paradigm 

    To fully grasp the value of Cloud Native, it is essential to understand its pillars, namely the principles and technologies that define its essence. Let’s explore them in detail. 

    Modern Software Architectures: Microservices

    Microservice architecture is at the heart of Cloud Native. It’s an evolution of SOA (Service-Oriented Architecture), where each application function is managed by an independent microservice with its own lifecycle, database, and development language that may differ from other microservices in the same application. 

    This approach allows developers to update, scale, modify, and release individual services without compromising the entire application. While this increases architectural complexity compared to the traditional monolithic approach, the modularity of microservices is particularly advantageous for applications that must handle variable workloads or implement features on tight deadlines. Modern cloud applications are updated multiple times a day, which would be impossible without modern architecture. 

    Modern Development and Deployment Models: DevOps 

    Cloud Native also means rethinking the processes for developing, releasing, and updating applications. The traditional waterfall model, though methodical and consistent, has proven increasingly unsuitable for the fast pace of modern market demands. Over time, the agile paradigm has emerged, introducing short iterations and continuous feedback. DevOps, in particular, bridges the historical gap between development and operations teams by integrating them into a single continuous workflow. 

    DevOps is a cornerstone of Cloud Native because it enables rapid and iterative cycles of development, testing, and deployment. This aligns seamlessly with the elastic and dynamic infrastructure of the cloud, leveraging automation and orchestration to ensure frequent and reliable releases. This not only reduces development times but also eliminates silos and promotes continuous collaboration. 

    Orchestration and Automation as Operating Principles 

    In a distributed architecture like microservices, correctly orchestrating resources is essential, as is doing so in the most automated way possible. Tools like Kubernetes (a major pillar of Cloud Native) ensure that containers are properly balanced and respond in real time to issues and load changes. 

    Automation is thus a key element of the entire paradigm and can be found everywhere. Kubernetes has already been mentioned, but automation is also crucial in infrastructure management, increasingly oriented toward practices like Infrastructure as Code (IaC), as well as automated testing pipelines and Continuous Integration (CI) and Continuous Delivery (CD). Without automation, the promises of resilience, scalability, flexibility, and continuous updates would remain theoretical. 

    Observability: A New Level of Monitoring 

    Cloud Native offers many benefits but also poses significant challenges. Application architectures are more complex than ever to manage and monitor. Traditional monitoring approaches are unsuitable for a microservices-based model, which often involves hundreds or thousands of components per application. 

    This is where observability comes in—a sophisticated approach where the application components themselves provide centralized platforms with all the telemetry needed to gain deep insights into application behavior. This enables the detection of anomalies, optimization of performance, and quick resolution of issues in distributed environments, ensuring stable and performant architecture. 

    The Impact of Cloud Native on Business Competitiveness 

    For a modern company, built on increasingly complex digital ecosystems, the Cloud Native approach has effectively become the primary strategic move toward competitiveness. Here's why. 

    Rapid Adaptation to Market Changes 

    The ability to quickly adapt to external dynamics and business needs is crucial. This is not just about scaling resources to handle demand surges but also responding promptly to new business and customer demands, as well as to increasingly frequent regulatory updates. 

    Companies that can quickly update their systems gain a competitive advantage, while those tied to outdated paradigms risk falling behind. In a world where agility is synonymous with competitive advantage, Cloud Native should be the IT paradigm of every company. 

    Impact on costs 

    Cloud Native is also a cost-effective model. Although it often requires a significant transformation—such as acquiring new skills and adopting modern approaches—it perfectly aligns with the pay-per-use models of the cloud, effectively eliminating resource waste. Moreover, the automation inherent in the model further reduces operational costs. 

    A stimulus for innovation 

    Cloud Native fosters innovation, a key factor for business competitiveness. Companies that experiment and develop new features more quickly are better equipped to anticipate market trends and respond to evolving customer needs. Unlike traditional models, Cloud Native enables continuous innovation thanks to its flexibility, agility, and ability to quickly integrate new technologies. 

    How to Begin the Journey Toward Cloud Native 

    Adopting the Cloud Native paradigm does not have to be immediate or radical. A fundamental starting point can be the modernization of existing applications. This can include partial code refactoring or adopting hybrid approaches, such as containerizing parts of the application to make them more flexible without rewriting everything from scratch. 

    A gradual approach is certainly more sustainable. Companies can start by migrating specific functionalities to modern architectures or leveraging managed cloud services. However, it is crucial to adopt modern tools and methodologies, such as DevOps and CI/CD, as early as possible to support and accelerate the transition. Planning a progressive roadmap helps balance the benefits of the new paradigm with the risks and costs of transformation, remaining competitive today with a vision for tomorrow. 

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