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The Core Pillars of a Cloud-Native Architecture
Nexqloud champions a modern approach built on five foundational pillars:
- Microservices: Applications are decomposed into small, focused services (e.g., a user authentication service, a payment processing service, a product catalog service). Each service owns its data and logic and communicates with others via well-defined APIs. This allows teams to work autonomously on different services, accelerating development and enabling the use of the best technology for each specific job.
- Containers & Kubernetes (Orchestration):
- Containers package a microservice and all its dependencies into a standardized, lightweight, and portable unit. This guarantees that the service runs identically from a developer's laptop to a production cluster.
- Kubernetes (K8s) is the essential orchestrator that automates the deployment, scaling, and management of these containers. It handles critical tasks like load balancing, self-healing (restarting failed containers), and service discovery, making it feasible to manage thousands of microservices at scale.
- DevOps & Agile Culture: Cloud native necessitates a cultural shift from siloed teams to collaborative, cross-functional DevOps teams. Developers and operations engineers work together throughout the entire application lifecycle, sharing responsibility for building, securing, deploying, and monitoring services. This fosters a culture of shared ownership and rapid iteration.
- Continuous Integration & Continuous Delivery (CI/CD): Automation is the engine of cloud native. CI/CD pipelines automatically build, test, and deploy code changes. This allows for frequent, reliable, and low-risk releases, moving from quarterly updates to daily—or even hourly—deployments, all without service disruption.
- Declarative APIs & Infrastructure as Code (IaC): Cloud-native environments are managed declaratively. Instead of manually configuring servers, you declare the desired state of your infrastructure and services in code files. Tools like Terraform or Kubernetes itself then automatically work to achieve and maintain that state. This makes environments reproducible, auditable, and consistent.

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