Terraform for visionOS 26 Spatial App Backends on AWS
Provision visionOS 26 spatial app backends with Terraform: 3D asset pipelines, USD storage, collaborative sessions, and low-latency streaming.
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Provision XR and spatial computing backends with Terraform: 3D content pipelines, streaming infrastructure, device management, and analytics.
Advanced displays and XR computing — spatial headsets, AR glasses, light-field displays — are reaching real consumer scale in 2026. The infrastructure behind them is unglamorous but unforgiving: 3D asset pipelines, low-latency streaming, device fleet management, and analytics. Terraform stitches the cloud half together so XR teams can focus on rendering.
This guide shows how to provision an XR / spatial computing backend on AWS.
| Layer | AWS service |
|---|---|
| 3D asset pipeline | S3 + Lambda + Batch (compression / LOD) |
| Cloud rendering | EC2 G6 / G6e + NICE DCV |
| Streaming | CloudFront + MediaPackage |
| Device management | IoT Core + IoT Device Management |
| Spatial data | Location Service + DynamoDB |
| Analytics | Kinesis Firehose → S3 + Athena |
resource "aws_s3_bucket" "assets_raw" {
bucket = "acme-xr-raw"
}
resource "aws_s3_bucket" "assets_processed" {
bucket = "acme-xr-processed"
}
resource "aws_s3_bucket_notification" "raw" {
bucket = aws_s3_bucket.assets_raw.id
lambda_function {
lambda_function_arn = aws_lambda_function.dispatcher.arn
events = ["s3:ObjectCreated:*"]
filter_suffix = ".usdz"
}
lambda_function {
lambda_function_arn = aws_lambda_function.dispatcher.arn
events = ["s3:ObjectCreated:*"]
filter_suffix = ".glb"
}
}
resource "aws_batch_job_definition" "lod_generator" {
name = "xr-lod-generator"
type = "container"
container_properties = jsonencode({
image = "${aws_ecr_repository.lod.repository_url}:latest"
vcpus = 4
memory = 16384
jobRoleArn = aws_iam_role.lod_job.arn
})
}resource "aws_launch_template" "render_host" {
name_prefix = "xr-render-"
image_id = data.aws_ami.dcv.id
instance_type = "g6e.4xlarge"
iam_instance_profile {
arn = aws_iam_instance_profile.render.arn
}
block_device_mappings {
device_name = "/dev/sda1"
ebs {
volume_size = 200
volume_type = "gp3"
iops = 6000
throughput = 500
encrypted = true
}
}
user_data = base64encode(templatefile("${path.module}/scripts/render-host.sh", {
asset_bucket = aws_s3_bucket.assets_processed.bucket
}))
tag_specifications {
resource_type = "instance"
tags = { Component = "xr-render" }
}
}
resource "aws_autoscaling_group" "render" {
name = "xr-render"
min_size = 0
desired_capacity = 4
max_size = 50
vpc_zone_identifier = var.private_subnet_ids
mixed_instances_policy {
launch_template {
launch_template_specification {
launch_template_id = aws_launch_template.render_host.id
version = "$Latest"
}
}
instances_distribution {
on_demand_base_capacity = 2
on_demand_percentage_above_base_capacity = 0
spot_allocation_strategy = "capacity-optimized"
}
}
}resource "aws_cloudfront_distribution" "xr" {
enabled = true
is_ipv6_enabled = true
http_version = "http2and3"
price_class = "PriceClass_All"
default_root_object = "manifest.mpd"
origin {
domain_name = aws_s3_bucket.assets_processed.bucket_regional_domain_name
origin_id = "assets"
origin_access_control_id = aws_cloudfront_origin_access_control.assets.id
}
default_cache_behavior {
target_origin_id = "assets"
viewer_protocol_policy = "redirect-to-https"
allowed_methods = ["GET", "HEAD"]
cached_methods = ["GET", "HEAD"]
cache_policy_id = data.aws_cloudfront_cache_policy.optimized.id
compress = true
}
restrictions { geo_restriction { restriction_type = "none" } }
viewer_certificate { cloudfront_default_certificate = true }
}resource "aws_iot_thing_type" "headset" {
name = "xr-headset-v3"
thing_type_properties {
description = "Generation-3 spatial headset"
searchable_attributes = ["fw_version", "model", "tenant"]
}
}
resource "aws_iot_thing_group" "tenant" {
for_each = var.tenants
name = "tenant-${each.key}"
}resource "aws_kinesis_firehose_delivery_stream" "spatial_events" {
name = "xr-events"
destination = "extended_s3"
extended_s3_configuration {
role_arn = aws_iam_role.firehose.arn
bucket_arn = aws_s3_bucket.events.arn
prefix = "events/y=!{timestamp:yyyy}/m=!{timestamp:MM}/d=!{timestamp:dd}/"
error_output_prefix = "errors/"
buffering_interval = 60
compression_format = "GZIP"
data_format_conversion_configuration {
enabled = true
input_format_configuration {
deserializer { open_x_json_ser_de {} }
}
output_format_configuration {
serializer { parquet_ser_de {} }
}
schema_configuration {
role_arn = aws_iam_role.firehose.arn
database_name = aws_glue_catalog_database.xr.name
table_name = aws_glue_catalog_table.events.name
}
}
}
}Provision visionOS 26 spatial app backends with Terraform: 3D asset pipelines, USD storage, collaborative sessions, and low-latency streaming.
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