Rails.cl - Rapid Ruby on Rails Development | Enterprise Software Solutions

We Don't Just Code. We Architect.

app/controllers/api/v1/payments_controller.rb

class Api::V1::PaymentsController < ApiController
  before_action :authenticate_user!
  before_action :validate_payment_params
  
  def create
    result = ProcessPayment.call(
      user: current_user,
      amount: payment_params[:amount],
      currency: payment_params[:currency],
      payment_method: payment_params[:method]
    )
    
    if result.success?
      render json: {
        status: 'success',
        payment_id: result.payment.id,
        confirmation: result.confirmation_code
      }, status: :created
    else
      render_api_error(result.errors)
    end
  end
  
  private
  
  def payment_params
    params.require(:payment).permit(:amount, :currency, :method)
  end
end

Performance Obsessed

Sub-100ms API response times
99.9% uptime across all deployments
Zero-downtime deployments
Auto-scaling infrastructure

Enterprise Security

OAuth2 & JWT implementation
SQL injection prevention
GDPR compliance ready
Penetration testing validated

Our Arsenal

Backend Mastery

Ruby on Rails 7+

PostgreSQL

Redis

Sidekiq

GraphQL

DevOps Excellence

Docker + Kubernetes

AWS/GCP

CI/CD Pipelines

Terraform

Monitoring

Frontend Power

React/Vue.js

Tailwind CSS

TypeScript

Stimulus

Turbo

Battle-Tested Solutions

Government Infrastructure

Built mission-critical systems handling millions in pension payments, flight bookings, and border control operations.

3000+

Daily Users

$10M+

Processed

deployment.yml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: pension-system
spec:
  replicas: 5
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxUnavailable: 1
      maxSurge: 1
  template:
    spec:
      containers:
      - name: rails-app
        image: rails.cl/pension:latest
        resources:
          requests:
            memory: "512Mi"
            cpu: "250m"
          limits:
            memory: "1Gi"
            cpu: "500m"

performance_monitor.rb

class PerformanceMonitor
  include Sidekiq::Worker
  
  def perform
    metrics = {
      response_time: avg_response_time,
      throughput: requests_per_second,
      error_rate: calculate_error_rate,
      memory_usage: memory_utilization
    }
    
    AlertService.notify if metrics[:error_rate] > 0.1
    MetricsCollector.store(metrics)
  end
  
  private
  
  def avg_response_time
    Rails.cache.fetch("avg_response_time", expires_in: 5.minutes) do
      calculate_response_times.average
    end
  end
end

Real-Time Analytics

Custom dashboards processing millions of data points in real-time, with automated alerting and performance optimization.

< 50ms

Response Time

1M+

Requests/Day

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