DataFlow Analytics — Estrategia Multi-Cloud

# Módulo de abstracción multi-cloud DataFlow Analytics

module "kubernetes_primary" {
  source     = "./modules/kubernetes"
  provider   = aws
  cluster    = "dataflow-eks-prod"
  region     = "eu-central-1"
  node_size  = "m5.xlarge"
  min_nodes  = 3
  max_nodes  = 20  # Auto-scale Black Friday
}

module "kubernetes_eu_gdpr" {
  source     = "./modules/kubernetes"
  provider   = azure
  cluster    = "dataflow-aks-eu"
  region     = "westeurope"
  node_size  = "Standard_D4s_v3"
  gdpr_tags  = { "data_residency" = "EU" }
}

module "ml_platform" {
  source      = "./modules/ml"
  provider    = gcp
  project_id  = "dataflow-ml-prod"
  region      = "europe-west1"
  gpu_type    = "NVIDIA_T4"
  budget_cap  = 1280  # EUR/mes
}

module "disaster_recovery" {
  source     = "./modules/kubernetes"
  provider   = oci
  cluster    = "dataflow-oke-dr"
  region     = "eu-frankfurt-1"
  standby    = true
  rto_hours  = 4
  rpo_hours  = 1
}

output "endpoints" {
  value = {
    primary  = module.kubernetes_primary.endpoint
    eu_gdpr  = module.kubernetes_eu_gdpr.endpoint
    ml_api   = module.ml_platform.vertex_endpoint
    dr       = module.disaster_recovery.endpoint
  }
}