Web Brain InfoTech, based in Delhi, India, builds cloud native applications for businesses across India and worldwide. Cloud native application development is the discipline of designing software specifically to exploit the elasticity, resilience, and managed services of cloud infrastructure.
Cloud native is an architectural philosophy encompassing microservices, containers, dynamic orchestration, and declarative infrastructure, formalized and stewarded by the Cloud Native Computing Foundation (CNCF). Applications built cloud native from the start scale more predictably, recover from failure more gracefully, and evolve more easily than applications retrofitted onto cloud infrastructure.
Web Brain InfoTech delivers cloud native application development services to clients in Delhi NCR, across India, and internationally, including the United States, United Kingdom, UAE, Canada, and Australia.
Cloud native application development is the practice of building software applications specifically designed to run in cloud environments, taking full advantage of on-demand scalability, managed infrastructure services, and distributed system resilience patterns that traditional server-based applications are not architected to use.
Packaging applications and their dependencies into portable, consistent containers using Docker
Decomposing applications into independently deployable, loosely coupled services
Using Kubernetes to automate deployment, scaling, and management of containerized services
Defining infrastructure and deployment state declaratively rather than through manual configuration
Circuit breakers, retries, and graceful degradation designed to handle distributed system unreliability
Comprehensive logging, metrics, and distributed tracing designed into the system from the start
These principles are formalized by the Cloud Native Computing Foundation (CNCF), which stewards foundational open-source projects including Kubernetes, Prometheus, and Envoy.
This distinction is frequently misunderstood, and it matters significantly for the benefits an organization actually realizes from moving to the cloud.
| Aspect | Cloud Hosted (Lift and Shift) | Cloud Native |
|---|---|---|
| Architecture | Traditional monolith moved to cloud VMs | Containerized microservices designed for cloud |
| Scaling | Manual or basic auto-scaling of whole app | Granular, automated scaling per service |
| Resilience | Depends on VM uptime | Self-healing via orchestration |
| Deployment | Infrequent, larger releases | Frequent, incremental, automated releases |
| Infrastructure management | Often manual configuration | Declarative Infrastructure as Code |
| Portability | Often cloud-provider specific | Portable across cloud providers via containers |
An application simply hosted on cloud virtual machines without architectural changes captures only a fraction of the benefits that genuine cloud native design delivers.
We provide complete cloud native application development covering containerization, orchestration, and the surrounding operational tooling.
Designing microservices boundaries, container strategy, and orchestration approach for new or migrating applications
Building optimized, secure Docker images and multi-stage build pipelines for application components
Designing and deploying Kubernetes clusters, Helm charts, auto-scaling (HPA/VPA), and cluster management
Implementing Istio or Linkerd for traffic management, mutual TLS security, and observability
Building automated pipelines using GitHub Actions, GitLab CI, or ArgoCD with GitOps practices
Implementing Prometheus, Grafana, and distributed tracing (Jaeger) for comprehensive monitoring
We also handle cloud native migration of existing monolithic applications and Infrastructure as Code using Terraform or Pulumi.
Cloud native development draws on a well-established ecosystem of CNCF-stewarded and complementary open-source and managed cloud technologies.
Docker, Podman, Buildpacks
Kubernetes, Amazon EKS, Google GKE, Azure AKS
Istio, Linkerd, Consul
GitHub Actions, GitLab CI, ArgoCD, Flux, Jenkins
Prometheus, Grafana, Jaeger, OpenTelemetry, ELK Stack
Terraform, Pulumi, AWS CloudFormation, Helm
The Twelve-Factor App methodology, originally articulated by Heroku, remains a foundational reference for cloud native application design, describing the characteristics that make applications portable, scalable, and maintainable in cloud environments.
These principles predate but remain highly compatible with modern cloud native architecture based on containers and Kubernetes.
A cloud native application typically comprises several distinct architectural layers, each addressing a specific concern within the overall system.
Applications are packaged with Docker into containers, ensuring consistent behavior across development, staging, and production environments.
Kubernetes manages container deployment, scaling, networking, and self-healing across a cluster of machines.
Tools like Istio or Linkerd manage service-to-service communication, providing traffic management, security, and observability.
Prometheus, Grafana, Jaeger/Zipkin, and ELK/EFK stack provide comprehensive system visibility.
Additional layers include API Gateway (Kong, Ambassador) and Infrastructure as Code (Terraform, Pulumi).
Our cloud native development process is structured to build systems that are resilient, observable, and scalable by design rather than retrofitted after deployment issues emerge.
Evaluating whether the application's requirements genuinely benefit from cloud native patterns
Defining microservices boundaries aligned to business domains
Designing Docker image structure, base images, and build optimization
Configuring Kubernetes cluster architecture, namespaces, and resource policies
Building automated build, test, and deployment pipelines with appropriate gating
Building metrics, logging, tracing, and validating system behavior under failure conditions
Web Brain InfoTech brings hands-on Kubernetes, containerization, and cloud native operational experience to application development projects.
Deployment and management across AWS EKS, Google GKE, and Azure AKS
Implementation experience with Istio and Linkerd
Pipeline engineering for reliable, automated deployment
Prometheus, Grafana, and distributed tracing from the start
Terraform discipline for reproducible environments
When cloud native is justified versus when simpler approaches better serve the application
We work with SaaS companies, enterprises modernizing legacy infrastructure, and growth-stage businesses building applications designed to scale reliably from the start.
Straight answers about Cloud Native Application Development Services.
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