ESEN

Scale-to-zero async worker with dead-letter

A worker processes messages from a queue, scales on queue length (down to zero), stores results in object storage and sets aside failing messages.

Problem

You have background work with irregular load (file processing, notifications, integrations). You want to pay close to zero when there are no messages, scale only when the queue grows, not lose failing messages and use no keys or connection strings: the worker authenticates with its identity against the queue and storage.

The topology is the same on every cloud; what changes is what implements each role.

Amazon Web Services

Scale-to-zero async worker with dead-letter — AWSsendstriggers / scalestokenwritesafter N attemptsProducerQueueAmazon SQS (Standard)1 gotcha in this roleWorkerAWS Lambda3 gotchas in this roleSecretless identityIAM Role (Lambdaexecution role)ResultsS3 bucketFailed messagesSeparate SQS queue1 gotcha in this role

Implementation

Queue
Amazon SQS (Standard)SQS-managed SSEComing from Azure: there this role is Azure Service Bus (Standard) — queue. The visibility timeout plays the role of the peek-lock lock, and it must be at least 6 times the Lambda timeout.Coming from GCP: there this role is Pub/Sub topic + push subscription.
Worker
AWS LambdaEvent source mapping with ReportBatchItemFailuresComing from Azure: there this role is Container Apps Job (event-driven).Coming from GCP: there this role is Cloud Run (service).
Secretless identity
IAM Role (Lambda execution role)sqs:ReceiveMessage/DeleteMessage + scoped s3:PutObjectComing from Azure: there this role is User-assigned Managed Identity.Coming from GCP: there this role is Service Accounts (worker + push invoker).
Results
S3 bucketBlock Public Access + BucketOwnerEnforcedComing from Azure: there this role is Storage Account + container.Coming from GCP: there this role is Cloud Storage bucket.
Failed messages
Separate SQS queueredrive_policy with maxReceiveCountComing from Azure: there this role is $DeadLetterQueue subqueue. It isn't a subqueue: it's another queue, and in Standard the message expires based on when it entered the original queue. Give it longer retention than the source.Coming from GCP: there this role is Dead-letter topic + pull subscription.

Cost model

Scales to zero

No fixed cost

Zero fixed cost: SQS, Lambda and S3 are pay-per-use. Note the event source mapping's long polling: SQS polling requests are billed even when the queue is empty (few, but not zero).

Monthly floor with no traffic

USD 0/ mo

USD 0: no components with a fixed cost.

⚖ Compare SKUs: Message queue →

Fine print · 4 gotchas

Reliability● verified 34 days ago◌ no external reviewer

The queue's visibility timeout must be at least 6 times the Lambda timeout

If the function takes longer than the visibility timeout, the message becomes visible again and another invocation picks it up while the first is still processing: guaranteed duplicates. AWS recommends a visibility timeout ≥ 6× the function timeout. The module computes and validates it.

⚑ Report outdated
Reliability● verified 34 days ago◌ no external reviewer

Without ReportBatchItemFailures, one failed message retries the whole batch

By default, if the function fails the whole batch goes back to the queue, including already processed messages. With function_response_types = ["ReportBatchItemFailures"] the function returns only the failed IDs. In Azure and GCP acks are per message, so this problem doesn't exist in the same way.

⚑ Report outdated
Reliability● verified 34 days ago◌ no external reviewer

In Standard queues, the message expires in the DLQ based on when it entered the original queue

When moving a message to the DLQ, SQS keeps the original enqueue timestamp (in FIFO it resets). If the DLQ has the same retention as the source queue, messages can vanish from the DLQ almost immediately. Set the DLQ retention longer than the source (the module uses the maximum, 14 days).

⚑ Report outdated
Operations● verified 34 days ago◌ no external reviewer

Limit the event source mapping's concurrency, not just the function's

scaling_config.maximum_concurrency limits how many concurrent instances of the function the queue can invoke. It's an event source mapping setting, independent of the function's reserved concurrency and free of charge, and it keeps one queue from using all of the reserved concurrency or the account's concurrency quota. Note: the reserved concurrency must be greater than or equal to the sum of the maximums of all the function's event sources; otherwise Lambda might throttle your messages.

⚑ Report outdated

Terraform

aws ~> 6.67✓ fmt · validate · tflint · checkov · terraform testGitHub ↗
main.tf
# Worker asíncrono con escala a cero — AWS
#
# Lambda disparada por SQS con respuestas parciales de lote, DLQ con retención
# mayor que la cola de origen y resultados en S3. Sin claves: el execution role
# de la función es la identidad.

data "aws_partition" "current" {}

locals {
  # AWS recomienda visibility timeout >= 6× el timeout de la función.
  visibility_timeout_seconds = var.function_timeout_seconds * 6
  results_prefix             = "results/"
}

# --- Colas ----------------------------------------------------------------------

resource "aws_sqs_queue" "dlq" {
  name                    = "${var.name}-jobs-dlq"
  sqs_managed_sse_enabled = true
  # Máximo (14 días): en colas Standard el vencimiento cuenta desde que el mensaje
  # entró a la cola original (gotcha: dlq-retention-original-timestamp).
  message_retention_seconds = 1209600
}

resource "aws_sqs_queue" "jobs" {
  name                       = "${var.name}-jobs"
  sqs_managed_sse_enabled    = true
  visibility_timeout_seconds = local.visibility_timeout_seconds
  message_retention_seconds  = 345600
  receive_wait_time_seconds  = 20

  redrive_policy = jsonencode({
    deadLetterTargetArn = aws_sqs_queue.dlq.arn
    maxReceiveCount     = var.max_receive_count
  })
}

# Solo la cola de trabajos puede usar esta DLQ.
resource "aws_sqs_queue_redrive_allow_policy" "dlq" {
  queue_url = aws_sqs_queue.dlq.id
  redrive_allow_policy = jsonencode({
    redrivePermission = "byQueue"
    sourceQueueArns   = [aws_sqs_queue.jobs.arn]
  })
}

# --- Bucket de resultados -------------------------------------------------------

resource "aws_s3_bucket" "results" {
  #checkov:skip=CKV_AWS_21:Resultados regenerables con TTL; versioning duplicaría costo (ver patrón object-storage-ttl).
  #checkov:skip=CKV_AWS_144:Replicación cross-region no aplica a resultados regenerables.
  #checkov:skip=CKV_AWS_18:Access logging fuera de alcance; usar CloudTrail data events si se requiere.
  #checkov:skip=CKV2_AWS_62:Notificaciones de eventos fuera de alcance del patrón.
  bucket = var.results_bucket_name
}

resource "aws_s3_bucket_public_access_block" "results" {
  bucket                  = aws_s3_bucket.results.id
  block_public_acls       = true
  block_public_policy     = true
  ignore_public_acls      = true
  restrict_public_buckets = true
}

resource "aws_s3_bucket_ownership_controls" "results" {
  bucket = aws_s3_bucket.results.id
  rule {
    object_ownership = "BucketOwnerEnforced"
  }
}

resource "aws_s3_bucket_server_side_encryption_configuration" "results" {
  #checkov:skip=CKV2_AWS_67:Clave administrada por AWS (aws/s3).
  bucket = aws_s3_bucket.results.id
  rule {
    apply_server_side_encryption_by_default {
      sse_algorithm = "aws:kms"
    }
    bucket_key_enabled = true
  }
}

resource "aws_s3_bucket_lifecycle_configuration" "results" {
  bucket = aws_s3_bucket.results.id

  rule {
    id     = "expire-results"
    status = "Enabled"
    filter {
      prefix = local.results_prefix
    }
    expiration {
      days = var.results_ttl_days
    }
  }

  rule {
    id     = "abort-incomplete-multipart"
    status = "Enabled"
    filter {}
    abort_incomplete_multipart_upload {
      days_after_initiation = 1
    }
  }
}

# --- Identidad de la función ----------------------------------------------------

resource "aws_iam_role" "worker" {
  name = "${var.name}-worker"
  assume_role_policy = jsonencode({
    Version   = "2012-10-17"
    Statement = [{ Effect = "Allow", Principal = { Service = "lambda.amazonaws.com" }, Action = "sts:AssumeRole" }]
  })
}

resource "aws_iam_role_policy_attachment" "worker_managed" {
  for_each = toset([
    "service-role/AWSLambdaBasicExecutionRole",
    "AWSXRayDaemonWriteAccess",
  ])
  role       = aws_iam_role.worker.name
  policy_arn = "arn:${data.aws_partition.current.partition}:iam::aws:policy/${each.value}"
}

resource "aws_iam_role_policy" "worker" {
  name = "consume-jobs-write-results"
  role = aws_iam_role.worker.id
  policy = jsonencode({
    Version = "2012-10-17"
    Statement = [
      {
        Effect   = "Allow"
        Action   = ["sqs:ReceiveMessage", "sqs:DeleteMessage", "sqs:GetQueueAttributes", "sqs:ChangeMessageVisibility"]
        Resource = aws_sqs_queue.jobs.arn
      },
      {
        Effect   = "Allow"
        Action   = ["s3:PutObject"]
        Resource = "${aws_s3_bucket.results.arn}/${local.results_prefix}*"
      },
    ]
  })
}

# --- Lambda + event source mapping ----------------------------------------------

resource "aws_cloudwatch_log_group" "worker" {
  #checkov:skip=CKV_AWS_158:Cifrado con la clave administrada por CloudWatch; CMK opcional.
  name              = "/aws/lambda/${var.name}-worker"
  retention_in_days = 365
}

resource "aws_lambda_function" "worker" {
  #checkov:skip=CKV_AWS_115:La concurrencia se limita en el event source mapping (scaling_config), no con reserved concurrency (gotcha: max-concurrency-protects-downstream).
  #checkov:skip=CKV_AWS_116:Invocación síncrona desde SQS: la DLQ vive en la cola, no en la función.
  #checkov:skip=CKV_AWS_117:Sin VPC: SQS y S3 se acceden por sus endpoints de AWS; ver private-web-api para red privada.
  #checkov:skip=CKV_AWS_173:Variables de entorno sin secretos; cifradas con la clave administrada por Lambda.
  #checkov:skip=CKV_AWS_272:Code signing no aplica a funciones empaquetadas como imagen.
  function_name = "${var.name}-worker"
  role          = aws_iam_role.worker.arn
  package_type  = "Image"
  image_uri     = var.image_uri
  timeout       = var.function_timeout_seconds
  memory_size   = 512

  tracing_config {
    mode = "Active"
  }

  environment {
    variables = {
      RESULTS_BUCKET = aws_s3_bucket.results.bucket
      RESULTS_PREFIX = local.results_prefix
    }
  }

  depends_on = [aws_cloudwatch_log_group.worker, aws_iam_role_policy_attachment.worker_managed]
}

resource "aws_lambda_event_source_mapping" "jobs" {
  event_source_arn                   = aws_sqs_queue.jobs.arn
  function_name                      = aws_lambda_function.worker.arn
  batch_size                         = var.batch_size
  maximum_batching_window_in_seconds = 5

  # Solo los mensajes que fallaron vuelven a la cola (gotcha: partial-batch-failures).
  function_response_types = ["ReportBatchItemFailures"]

  scaling_config {
    maximum_concurrency = var.max_concurrency
  }
}
variables.tf
variable "name" {
  description = "Prefijo para nombrar los recursos (ej. \"worker-demo\")."
  type        = string

  validation {
    condition     = can(regex("^[a-z0-9-]{3,20}$", var.name))
    error_message = "name: 3-20 caracteres, minúsculas, números o guiones."
  }
}

variable "region" {
  description = "Región de AWS."
  type        = string
  default     = "us-east-1"
}

variable "results_bucket_name" {
  description = "Nombre global único del bucket de resultados."
  type        = string

  validation {
    condition     = can(regex("^[a-z0-9][a-z0-9.-]{1,61}[a-z0-9]$", var.results_bucket_name))
    error_message = "results_bucket_name: 3-63 caracteres, minúsculas, números, puntos o guiones."
  }
}

variable "image_uri" {
  description = "Imagen de la función en ECR."
  type        = string
}

variable "function_timeout_seconds" {
  description = "Timeout de la Lambda. El visibility timeout de la cola se fija en 6× este valor (gotcha: visibility-timeout-6x)."
  type        = number
  default     = 60

  validation {
    condition     = var.function_timeout_seconds >= 1 && var.function_timeout_seconds <= 900
    error_message = "function_timeout_seconds: entre 1 y 900 (límite de Lambda)."
  }
}

variable "max_receive_count" {
  description = "Entregas antes de mandar el mensaje a la DLQ."
  type        = number
  default     = 5
}

variable "batch_size" {
  description = "Mensajes por invocación."
  type        = number
  default     = 10
}

variable "max_concurrency" {
  description = "Invocaciones concurrentes máximas disparadas por la cola (gotcha: max-concurrency-protects-downstream)."
  type        = number
  default     = 10

  validation {
    condition     = var.max_concurrency >= 2
    error_message = "maximum_concurrency de un event source mapping de SQS es como mínimo 2."
  }
}

variable "results_ttl_days" {
  description = "Días que se conservan los resultados."
  type        = number
  default     = 30
}

variable "tags" {
  description = "Tags aplicados a todos los recursos."
  type        = map(string)
  default     = {}
}
outputs.tf
output "queue_url" {
  description = "URL de la cola de trabajos (los productores necesitan sqs:SendMessage)."
  value       = aws_sqs_queue.jobs.id
}

output "dlq_url" {
  description = "URL de la dead-letter queue."
  value       = aws_sqs_queue.dlq.id
}

output "results_bucket" {
  description = "Bucket de resultados."
  value       = aws_s3_bucket.results.bucket
}
versions.tf
terraform {
  required_version = ">= 1.7.0"

  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 6.67"
    }
  }
}

provider "aws" {
  region = var.region

  default_tags {
    tags = var.tags
  }
}

Microsoft Azure

Scale-to-zero async worker with dead-letter — Azuresendstriggers / scalestokenwritesafter N attemptsProducerQueueAzure Service Bus(Standard) — queue3 gotchas in this roleWorkerContainer Apps Job(event-driven)2 gotchas in this roleSecretless identityUser-assigned ManagedIdentity1 gotcha in this roleResultsStorage Account +containerFailed messages$DeadLetterQueuesubqueue1 gotcha in this role

Implementation

Queue
Azure Service Bus (Standard) — queuelocal_auth_enabled = false (Entra ID only)Coming from AWS: there this role is Amazon SQS (Standard). Peek-lock is the same model as the visibility timeout (at-least-once). The big difference: private networking requires the Premium tier.Coming from GCP: there this role is Pub/Sub topic + push subscription.
Worker
Container Apps Job (event-driven)KEDA azure-servicebus scaler with managed identityComing from AWS: there this role is AWS Lambda.Coming from GCP: there this role is Cloud Run (service).
Secretless identity
User-assigned Managed IdentityService Bus Data Receiver + Storage Blob Data ContributorComing from AWS: there this role is IAM Role (Lambda execution role).Coming from GCP: there this role is Service Accounts (worker + push invoker).
Results
Storage Account + containerShared Key disabledComing from AWS: there this role is S3 bucket.Coming from GCP: there this role is Cloud Storage bucket.
Failed messages
$DeadLetterQueue subqueuemax_delivery_count on the queueComing from AWS: there this role is Separate SQS queue.Coming from GCP: there this role is Dead-letter topic + pull subscription.

Cost model

Partially scales to zero

Fixed cost even with zero traffic:

  • Service Bus Standard (monthly base charge)

The job consumes nothing without messages and storage is pay-per-use. The only fixed cost is the Service Bus Standard base charge, small compared to Premium (see gotcha).

Monthly floor with no traffic

USD 9.81/ mo

With the Terraform module’s default configuration. Good for comparing orders of magnitude, not for budgeting.

List price in eastus as of 2026-10-24, in USD, with no discounts or taxes.

⚖ Compare SKUs: Message queue →

Fine print · 4 gotchas

Cost● verified 34 days ago◌ no external reviewer

Private networking on Service Bus requires Premium, which has a high fixed cost

Private Endpoints, VNet rules and CMK require Premium-tier namespaces, which are billed per messaging unit. Standard supports IP firewall rules. This pattern uses Standard with Entra ID-only auth: if the requirement is private networking, you have to move to Premium. In AWS, SQS connects through an interface VPC endpoint.

⚑ Report outdated
Reliability● verified 34 days ago◌ no external reviewer

Peek-lock is at-least-once, not exactly-once

If the worker dies after processing but before completing the message, the lock expires and the message is redelivered. It's the same model as SQS's visibility timeout. Service Bus duplicate detection dedupes repeated sends, not processing: the worker must be idempotent.

⚑ Report outdated
Reliability● verified 34 days ago◌ no external reviewer

The dead-letter queue uses the queue's quota if nobody drains it

After max_delivery_count deliveries (10 by default) the message goes to the $DeadLetterQueue subqueue, which counts towards the entity size. If it piles up, the main queue starts rejecting sends with QuotaExceeded. You need alerts on the dead-letter count and a process to reprocess or discard.

⚑ Report outdated

Terraform

azurerm ~> 5.8✓ fmt · validate · tflint · checkov · terraform testGitHub ↗
main.tf
# Worker asíncrono con escala a cero — Azure
#
# Container Apps Job disparado por KEDA según el largo de una cola de
# Service Bus Standard, con identidad administrada para la cola, el scaler y
# el storage. Sin connection strings: el namespace no acepta SAS.

resource "azurerm_resource_group" "this" {
  name     = "rg-${var.name}"
  location = var.location
  tags     = var.tags
}

# --- Service Bus --------------------------------------------------------------

resource "azurerm_servicebus_namespace" "this" {
  #checkov:skip=CKV_AZURE_204:Standard no soporta Private Endpoint ni reglas de VNet; requiere Premium (gotcha: sb-private-endpoint-premium).
  #checkov:skip=CKV_AZURE_199:Doble cifrado solo disponible en Premium.
  #checkov:skip=CKV_AZURE_201:CMK solo disponible en Premium.
  #checkov:skip=CKV_AZURE_202:La identidad del namespace solo sirve para CMK (Premium); el acceso usa la identidad del worker.
  name                = var.servicebus_namespace_name
  resource_group_name = azurerm_resource_group.this.name
  location            = azurerm_resource_group.this.location
  sku                 = "Standard"
  local_auth_enabled  = false
  minimum_tls_version = "1.2"
  tags                = var.tags
}

resource "azurerm_servicebus_queue" "jobs" {
  name                                 = "jobs"
  namespace_id                         = azurerm_servicebus_namespace.this.id
  lock_duration                        = "PT1M"
  max_delivery_count                   = var.max_delivery_count
  default_message_ttl                  = "P14D"
  dead_lettering_on_message_expiration = true
}

# --- Storage de resultados ----------------------------------------------------

resource "azurerm_storage_account" "results" {
  #checkov:skip=CKV_AZURE_59:Acceso público de red con auth solo Entra ID: el job de Container Apps sin VNet no tiene IP de salida fija.
  #checkov:skip=CKV_AZURE_35:Ídem: sin VNet no hay subnet ni IP estable para reglas de red.
  #checkov:skip=CKV2_AZURE_33:Private Endpoint fuera de alcance de este patrón (ver private-web-api).
  #checkov:skip=CKV2_AZURE_1:CMK fuera de alcance del patrón.
  #checkov:skip=CKV_AZURE_206:ZRS suficiente para resultados regenerables.
  #checkov:skip=CKV_AZURE_33:No se usa Queue Storage.
  name                              = var.storage_account_name
  resource_group_name               = azurerm_resource_group.this.name
  location                          = azurerm_resource_group.this.location
  account_kind                      = "StorageV2"
  account_tier                      = "Standard"
  account_replication_type          = "ZRS"
  shared_access_key_enabled         = false
  default_to_oauth_authentication   = true
  local_user_enabled                = false
  allow_nested_items_to_be_public   = false
  cross_tenant_replication_enabled  = false
  https_traffic_only_enabled        = true
  min_tls_version                   = "TLS1_2"
  infrastructure_encryption_enabled = true

  blob_properties {
    delete_retention_policy {
      days = 7
    }
    container_delete_retention_policy {
      days = 7
    }
  }

  tags = var.tags
}

resource "azurerm_storage_container" "results" {
  #checkov:skip=CKV2_AZURE_21:Logging de lectura vía diagnostic settings, fuera de alcance del patrón.
  name                  = "results"
  storage_account_id    = azurerm_storage_account.results.id
  container_access_type = "private"
}

# --- Identidad del worker (contenedor + scaler) -------------------------------

resource "azurerm_user_assigned_identity" "worker" {
  name                = "id-${var.name}-worker"
  resource_group_name = azurerm_resource_group.this.name
  location            = azurerm_resource_group.this.location
  tags                = var.tags
}

# Receiver alcanza para leer, completar y para que KEDA consulte el largo de la cola.
resource "azurerm_role_assignment" "worker_queue" {
  scope                = azurerm_servicebus_queue.jobs.id
  role_definition_name = "Azure Service Bus Data Receiver"
  principal_id         = azurerm_user_assigned_identity.worker.principal_id
  principal_type       = "ServicePrincipal"
}

resource "azurerm_role_assignment" "worker_results" {
  scope                = azurerm_storage_container.results.id
  role_definition_name = "Storage Blob Data Contributor"
  principal_id         = azurerm_user_assigned_identity.worker.principal_id
  principal_type       = "ServicePrincipal"
}

# --- Container Apps Job (event-driven) ----------------------------------------

resource "azurerm_container_app_environment" "this" {
  name                = "cae-${var.name}"
  resource_group_name = azurerm_resource_group.this.name
  location            = azurerm_resource_group.this.location

  workload_profile {
    name                  = "Consumption"
    workload_profile_type = "Consumption"
  }

  tags = var.tags
}

resource "azurerm_container_app_job" "worker" {
  name                         = "caj-${var.name}-worker"
  resource_group_name          = azurerm_resource_group.this.name
  location                     = azurerm_resource_group.this.location
  container_app_environment_id = azurerm_container_app_environment.this.id
  workload_profile_name        = "Consumption"
  replica_timeout_in_seconds   = var.replica_timeout_seconds
  replica_retry_limit          = 1

  identity {
    type         = "UserAssigned"
    identity_ids = [azurerm_user_assigned_identity.worker.id]
  }

  event_trigger_config {
    parallelism              = 1
    replica_completion_count = 1

    scale {
      min_executions              = 0
      max_executions              = var.max_executions
      polling_interval_in_seconds = 30

      rules {
        name             = "servicebus-jobs"
        custom_rule_type = "azure-servicebus"
        # El scaler se autentica con la identidad, no con un connection string
        # (gotcha: keda-scaler-identity).
        identity_id = azurerm_user_assigned_identity.worker.id
        metadata = {
          namespace    = azurerm_servicebus_namespace.this.name
          queueName    = azurerm_servicebus_queue.jobs.name
          messageCount = tostring(var.messages_per_execution)
        }
      }
    }
  }

  template {
    container {
      name   = "worker"
      image  = var.container_image
      cpu    = 0.25
      memory = "0.5Gi"

      env {
        name  = "AZURE_CLIENT_ID"
        value = azurerm_user_assigned_identity.worker.client_id
      }
      env {
        name  = "SERVICEBUS_FQDN"
        value = "${azurerm_servicebus_namespace.this.name}.servicebus.windows.net"
      }
      env {
        name  = "SERVICEBUS_QUEUE"
        value = azurerm_servicebus_queue.jobs.name
      }
      env {
        name  = "RESULTS_CONTAINER_URL"
        value = "${azurerm_storage_account.results.primary_blob_endpoint}${azurerm_storage_container.results.name}"
      }
    }
  }

  tags = var.tags

  depends_on = [azurerm_role_assignment.worker_queue, azurerm_role_assignment.worker_results]
}
variables.tf
variable "name" {
  description = "Prefijo para nombrar los recursos (ej. \"worker-demo\")."
  type        = string

  validation {
    condition     = can(regex("^[a-z0-9-]{3,20}$", var.name))
    error_message = "name: 3-20 caracteres, minúsculas, números o guiones."
  }
}

variable "location" {
  description = "Región de Azure."
  type        = string
  default     = "eastus2"
}

variable "servicebus_namespace_name" {
  description = "Nombre global único del namespace de Service Bus."
  type        = string

  validation {
    condition     = can(regex("^[a-zA-Z][a-zA-Z0-9-]{4,48}[a-zA-Z0-9]$", var.servicebus_namespace_name))
    error_message = "servicebus_namespace_name: 6-50 caracteres, empieza con letra."
  }
}

variable "storage_account_name" {
  description = "Nombre global único de la Storage Account de resultados."
  type        = string

  validation {
    condition     = can(regex("^[a-z0-9]{3,24}$", var.storage_account_name))
    error_message = "storage_account_name: 3-24 caracteres, solo minúsculas y números."
  }
}

variable "max_delivery_count" {
  description = "Entregas antes de mandar el mensaje a $DeadLetterQueue."
  type        = number
  default     = 10

  validation {
    condition     = var.max_delivery_count >= 1
    error_message = "max_delivery_count debe ser >= 1."
  }
}

variable "messages_per_execution" {
  description = "Mensajes en cola por ejecución del job (messageCount del scaler KEDA)."
  type        = number
  default     = 5
}

variable "max_executions" {
  description = "Máximo de ejecuciones concurrentes del job."
  type        = number
  default     = 10
}

variable "replica_timeout_seconds" {
  description = "Tiempo máximo de cada ejecución."
  type        = number
  default     = 300
}

variable "container_image" {
  description = "Imagen del worker: procesa un lote de mensajes y termina."
  type        = string
  default     = "mcr.microsoft.com/k8se/quickstart-jobs:latest"
}

variable "tags" {
  description = "Tags aplicados a todos los recursos."
  type        = map(string)
  default     = {}
}
outputs.tf
output "servicebus_fqdn" {
  description = "FQDN del namespace (los productores se autentican con Entra ID)."
  value       = "${azurerm_servicebus_namespace.this.name}.servicebus.windows.net"
}

output "queue_name" {
  description = "Cola de trabajos. La dead-letter es <cola>/$DeadLetterQueue."
  value       = azurerm_servicebus_queue.jobs.name
}

output "worker_identity_client_id" {
  description = "Client ID de la identidad del worker."
  value       = azurerm_user_assigned_identity.worker.client_id
}
versions.tf
terraform {
  required_version = ">= 1.7.0"

  required_providers {
    azurerm = {
      source  = "hashicorp/azurerm"
      version = "~> 5.8"
    }
  }
}

provider "azurerm" {
  features {}

  # Con shared_access_key_enabled = false el provider tiene que usar Entra ID
  # para las llamadas de data plane (gotcha: shared-key-needs-azuread-provider).
  storage_use_azuread = true

  # subscription_id se toma de ARM_SUBSCRIPTION_ID.
}