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[CI] Add Terraform resources for daily CronJob that processes LLVM commits #495

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8 changes: 8 additions & 0 deletions premerge/gke_cluster/main.tf
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,10 @@ resource "google_container_cluster" "llvm_premerge" {
# for adding windows nodes to the cluster.
networking_mode = "VPC_NATIVE"
ip_allocation_policy {}

workload_identity_config {
workload_pool = "llvm-premerge-checks.svc.id.goog"
}
}

resource "google_container_node_pool" "llvm_premerge_linux_service" {
Expand All @@ -23,6 +27,10 @@ resource "google_container_node_pool" "llvm_premerge_linux_service" {

node_config {
machine_type = "e2-highcpu-4"

workload_metadata_config {
mode = "GKE_METADATA"
}
# Terraform wants to recreate the node pool everytime whe running
# terraform apply unless we explicitly set this.
# TODO(boomanaiden154): Look into why terraform is doing this so we do
Expand Down
103 changes: 103 additions & 0 deletions premerge/main.tf
Original file line number Diff line number Diff line change
Expand Up @@ -190,3 +190,106 @@ resource "kubernetes_manifest" "metrics_deployment" {

depends_on = [kubernetes_namespace.metrics, kubernetes_secret.metrics_secrets]
}

# Resources for collecting LLVM operational metrics data

# Service accounts and bindings to grant access to the
# BigQuery API for our cronjob
resource "google_service_account" "operational_metrics_gsa" {
account_id = "operational-metrics-gsa"
display_name = "Operational Metrics GSA"
}

resource "google_project_iam_binding" "bigquery_jobuser_binding" {
project = google_service_account.operational_metrics_gsa.project
role = "roles/bigquery.jobUser"

members = [
"serviceAccount:${google_service_account.operational_metrics_gsa.email}",
]

depends_on = [google_service_account.operational_metrics_gsa]
}

resource "kubernetes_namespace" "operational_metrics" {
metadata {
name = "operational-metrics"
}
provider = kubernetes.llvm-premerge-us-central
}

resource "kubernetes_service_account" "operational_metrics_ksa" {
metadata {
name = "operational-metrics-ksa"
namespace = "operational-metrics"
annotations = {
"iam.gke.io/gcp-service-account" = google_service_account.operational_metrics_gsa.email
}
}

depends_on = [kubernetes_namespace.operational_metrics]
}

resource "google_service_account_iam_binding" "workload_identity_binding" {
service_account_id = google_service_account.operational_metrics_gsa.name
role = "roles/iam.workloadIdentityUser"

members = [
"serviceAccount:${google_service_account.operational_metrics_gsa.project}.svc.id.goog[operational-metrics/operational-metrics-ksa]",
]

depends_on = [
google_service_account.operational_metrics_gsa,
kubernetes_service_account.operational_metrics_ksa,
]
}

# The container for scraping LLVM commits needs persistent storage
# for a local check-out of llvm/llvm-project
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Why does this need to be stored persistently? It's pretty cheap to clone LLVM and a PVC I think adds unnecessary complexity on top of making things more complicated because they are now stateful.

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I neglected to mention this, but there's also a persistent file that keeps track of the last commits we've seen. Originally, the script was to run at a more frequent cadence so we wanted to keep track of commits we've seen as to avoid reprocessing them.

Now that the script only scrapes a day worth of data at a time, maybe we don't need a persistent state to keep track of commits we've seen. Although it might still be valuable for ensuring the quality of the commit data between iterations

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Using a PVC for a persistent file would make more sense.

I still think it's a bit of an antipattern though. If you want to ensure you're only looking at new commits and its a cron job, you can just look at the last 24 hours of commits (which it seems like you're already doing?). Making this stateless makes things quite a bit simpler and aligns things more with how k8s expects them to work.

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Addressed removal of dependency on persistent storage in #501

resource "kubernetes_persistent_volume_claim" "operational_metrics_pvc" {
metadata {
name = "operational-metrics-pvc"
namespace = "operational-metrics"
}

spec {
access_modes = ["ReadWriteOnce"]
resources {
requests = {
storage = "20Gi"
}
}
storage_class_name = "standard-rwo"
}

depends_on = [kubernetes_namespace.operational_metrics]
}

resource "kubernetes_secret" "operational_metrics_secrets" {
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Why does this need a separate Github token instead of reusing one of the existing ones?

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It's the same Github token, just under a separate secrets object to keep separation between the premerge metrics and operational metrics

Although I'm not opposed to scrapping this and just reusing the metrics secrets if that's more appropriate

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I don't think this creates any tangible separation if they're the same token. You should reuse the metrics container secret, but probably rename the kubernetes_secret object and maybe the underlying GCP object. You'll need to use a terraform moved block (https://developer.hashicorp.com/terraform/language/modules/develop/refactoring#moved-block-syntax) so that TF doesn't try to delete and recreate everything.

metadata {
name = "operational-metrics-secrets"
namespace = "operational-metrics"
}

data = {
"github-token" = data.google_secret_manager_secret_version.metrics_github_pat.secret_data
"grafana-api-key" = data.google_secret_manager_secret_version.metrics_grafana_api_key.secret_data
"grafana-metrics-userid" = data.google_secret_manager_secret_version.metrics_grafana_metrics_userid.secret_data
}

type = "Opaque"
provider = kubernetes.llvm-premerge-us-central
depends_on = [kubernetes_namespace.operational_metrics]
}

resource "kubernetes_manifest" "operational_metrics_cronjob" {
manifest = yamldecode(file("operational_metrics_cronjob.yaml"))
provider = kubernetes.llvm-premerge-us-central

depends_on = [
kubernetes_namespace.operational_metrics,
kubernetes_persistent_volume_claim.operational_metrics_pvc,
kubernetes_secret.operational_metrics_secrets,
kubernetes_service_account.operational_metrics_ksa,
]
}
52 changes: 52 additions & 0 deletions premerge/operational_metrics_cronjob.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,52 @@
# operational_metrics_cronjob.yaml
apiVersion: batch/v1
kind: CronJob
metadata:
name: operational-metrics-cronjob
namespace: operational-metrics
spec:
# Midnight PDT
schedule: "0 7 * * *"
timeZone: "Etc/UTC"
concurrencyPolicy: Forbid
jobTemplate:
spec:
template:
spec:
serviceAccountName: operational-metrics-ksa
nodeSelector:
iam.gke.io/gke-metadata-server-enabled: "true"
volumes:
- name: metrics-volume
persistentVolumeClaim:
claimName: operational-metrics-pvc
containers:
- name: process-llvm-commits
image: ghcr.io/llvm/operations-metrics:latest
env:
- name: GITHUB_TOKEN
valueFrom:
secretKeyRef:
name: operational-metrics-secrets
key: github-token
- name: GRAFANA_API_KEY
valueFrom:
secretKeyRef:
name: operational-metrics-secrets
key: grafana-api-key
- name: GRAFANA_METRICS_USERID
valueFrom:
secretKeyRef:
name: operational-metrics-secrets
key: grafana-metrics-userid
volumeMounts:
- name: metrics-volume
mountPath: "/data"
resources:
requests:
cpu: "250m"
memory: "256Mi"
limits:
cpu: "1"
memory: "512Mi"
restartPolicy: OnFailure