# Copyright 2020-2025 the Pinniped contributors. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0

# Helps decide the name of the Deployment along with other resources and labels. Will be suffixed with "-worker".
fullnameOverride: concourse

web:
  enabled: false

postgresql:
  enabled: false

worker:
  # In an effort to save money, default to 1 worker.
  replicas: 1
  nodeSelector: { cloud.google.com/gke-nodepool: workers-1 } # the name of the nodepool from terraform
  hardAntiAffinity: true
  minAvailable: 0
  terminationGracePeriodSeconds: 3600
  livenessProbe:
    periodSeconds: 60
    failureThreshold: 10
    timeoutSeconds: 45
  resources:
    # Inspired by https://github.com/concourse/hush-house/blob/16f52e57c273282ebace68051b0fe9133dc3a04e/deployments/with-creds/workers/values.yaml#L30-L32
    #
    # Note that Kubernetes uses Ki (Kibibytes) and Gi (Gibibytes). You can do conversions by doing google
    # searches using the more commonly used names for those units, e.g. searching "29061248 KiB to GiB".
    #
    # Limit to using all available CPUs and most of the available memory in our e2-standard-8 VM nodes.
    # According to the "Allocatable" section of the "kubectl describe nodes -l cloud.google.com/gke-nodepool=workers-1" output,
    # each node has 29061248 Ki, which is equal to 27.7149658203 Gi of memory allocatable,
    # and each node has 7910m cpu allocatable.
    #
    # By making our requests equal to our limits, we should be assigned "Guaranteed" QoS.
    # But we need to leave enough space for all other pods' requests too, because GKE runs several pods on each node automatically.
    # The first node in the node pool has the most pods scheduled on it, so we will choose our values based on the first node
    # by looking at its "Allocated resources" section of the describe output.
    # CPU:
    #   - On the first node, the other pods' CPU requests total 1324m (16%).
    #   - The available CPU for our pod is 7910m allocatable - 1324m allocated = 6586m remaining.
    # Memory:
    #   - On the first node, the other pods' memory requests total 1394740096 (bytes) (4%) = 1.298952937126 Gi.
    #   - The available memory for our pod is 27.7149658203 Gi - 1.298952937126 Gi = 26.4160128832 Gi.
    # However, Google can change these values over time, so we need to leave a little extra room
    # in case Google's pods take a little more later.
    #
    # In order for the pod to be assigned "Guaranteed" QoS, all the containers need to
    # have requests equal to limits, so the initContainer also has similar settings applied
    # by the init-container-overlay.yaml overlay.
    limits:
      cpu: 6480m
      memory: 26Gi
    requests:
      cpu: 6480m
      memory: 26Gi

persistence:
  worker:
    size: 375Gi
    storageClass: premium-rwo

concourse:
  worker:
    # rebalanceInterval: 2h
    baggageclaim:
      driver: overlay
    healthcheckTimeout: 40s
    runtime: containerd
    containerd:
      # networkPool: "10.254.0.0/16"
      # maxContainers is usually set to 250, but increasing it to see if we can squeeze more from each worker.
      maxContainers: 300
      restrictedNetworks:
        - 169.254.169.254/32
    tsa:
      hosts:
        # This service name must match the name decided by the web deployment
        - concourse-web-worker-gateway.concourse-web.svc.cluster.local:2222