Cloud-Native Architecture
CLD-INFRA // Solutions

Your Legacy System Is Holding Your Business Hostage.

Legacy systems accumulate technical debt without announcing it. Deployment cycles slow. Integration becomes harder. Replacing them carries its own risk because the business runs on them today.

Overview

Cloud-Native Architecture

Cloud-native architecture done correctly costs less to run, deploys faster, and fails more gracefully than what it replaced. Done incorrectly, it costs more than the legacy system and introduces an entirely new category of operational problems. We have seen both.

Terraform

IaC Tooling

GitOps

Deployment Model

<5min MTTR

Recovery Time

1x to 12x

Scaling Range

What We Engineer

Engineering Capabilities

The specific disciplines we apply in this domain. Each one is a practice, not a claim.

01.

Kubernetes Orchestration

Production-grade K8s clusters with custom autoscaling triggered by business metrics, not CPU. Scale-out begins before contention occurs.

02.

Serverless & Event-driven Infrastructure

Lambda and event-driven architectures for workloads that scale to zero between demand peaks and back without manual intervention.

03.

Zero-Downtime Migration

Parallel-run migration strategies with weighted traffic shifting and automated rollback. No maintenance windows. No planned outages.

04.

Infrastructure as Code

Terraform and GitOps pipelines that make your infrastructure version-controlled, reproducible, and auditable by anyone on the team.

Technology Stack
KubernetesAWS EKSTerraformDockerGitHub ActionsNext.js 15Node.js.NET Core

Case Study

Xinerji

View Full Study

The Challenge

On-premise supply chain system collapsing under Q4 peak demand. No horizontal scaling. A 14-day deployment freeze meant no critical fixes during the highest-pressure period of the year.

The Result

Scaling capacity 1x to 12x. Deployment cycle from 14 days to 8 minutes. Q4 completed without a single incident.

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