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bazel-lib/.aspect/workflows/terraform/workflows.tf

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HCL

data "google_compute_image" "runner_image" {
# Aspect's GCP aspect-workflows-images project provides public Aspect Workflows GCP images for
# getting started during the trial period. We recommend that all Workflows users build their own
# GCP images and keep up-to date with patches. See
# https://docs.aspect.build/v/workflows/install/packer for more info and/or
# https://github.com/aspect-build/workflows-images for example packer scripts and BUILD targets
# for building GCP images for Workflows.
project = "aspect-workflows-images"
name = "aspect-workflows-debian-11-minimal-1-3-0"
}
module "aspect_workflows" {
# Aspect Workflows terraform module
source = "https://s3.us-east-2.amazonaws.com/static.aspect.build/aspect/5.8.0-rc8/workflows-gcp/terraform-gcp-aspect-workflows.zip"
# Network properties
network = google_compute_network.workflows_network.id
subnetwork = google_compute_subnetwork.workflows_subnet.id
# Number of nodes in the kubernetes cluster where the remote cache &
# observability services run.
cluster_standard_node_count = 3
# Remote cache configuration
remote = {
cache_size_gb = 384
cache_shards = 3
replicate_cache = false
load_balancer_replicas = 1
}
# CI properties
hosts = ["cci"]
# Warming set definitions
warming_sets = {
default = {}
}
# Resource types for use by runner groups
resource_types = {
default = {
# Aspect Workflows requires machine types that have local SSD drives. See
# https://cloud.google.com/compute/docs/machine-resource#machine_type_comparison for full list
# of machine types availble on GCP.
machine_type = "n1-standard-4"
image_id = data.google_compute_image.runner_image.id
use_preemptible = true
}
}
# CircleCI runner group definitions
cci_runner_groups = {
# The default runner group is use for the main build & test workflows.
default = {
agent_idle_timeout_min = 1
job_max_run_time_min = 5 * 60
max_runners = 10
min_runners = 0
resource_type = "default"
scaling_polling_frequency = 3 # check for queued jobs every 20s
warming = true
}
# The warming runner group is used for the periodic warming job that creates
# warming archives for use by other runner groups.
warming = {
agent_idle_timeout_min = 1
job_max_run_time_min = 5 * 60
max_runners = 1
min_runners = 0
resource_type = "default"
}
}
# This varies by each customer. This one is dedicated to bazel-lib.
pagerduty_integration_key = "23a940f08d58430fc012ef9bb3fed2e0"
}