prop/k8s/deployment-hrrr-point-rs.yaml

103 lines
3.8 KiB
YAML

apiVersion: apps/v1
kind: Deployment
metadata:
name: hrrr-point-rs
namespace: prop
# Phase 3 Stream C: per-QSO HRRR fetches move off the BEAM pods.
# Elixir writes to hrrr_fetch_tasks (one row per valid_time with a
# points JSONB array); this deployment drains via FOR UPDATE SKIP
# LOCKED, fetches each HRRR cycle once, and upserts hrrr_profiles.
spec:
# Parallelism on QSO-submit spikes comes from multiple replicas
# claiming rows from hrrr_fetch_tasks via FOR UPDATE SKIP LOCKED —
# no coordination needed between workers.
# Replica count is HPA-managed (hpa.yaml, min 1 / max 4).
# Zero-downtime rollout: surge first so the new pod is serving
# before the old one drains, otherwise a deploy during a QSO-submit
# burst leaves the per-QSO fetch lane empty until the new pod is
# ready. Both pods race for hrrr_fetch_tasks via FOR UPDATE SKIP
# LOCKED, so brief overlap is safe.
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
selector:
matchLabels:
app: hrrr-point-rs
template:
metadata:
labels:
app: hrrr-point-rs
tier: hrrr-points
spec:
# Anti-affinity against prop-grid-rs was removed; the scheduler
# is free to colocate. Contention on wgrib2 + NFS hasn't been an
# observed bottleneck in practice.
# Per-QSO point fetches are short (~5-15 s), but a stack of
# claimed rows can take a couple of minutes to drain. 120 s lets
# the worker finish in-flight tasks before SIGKILL.
terminationGracePeriodSeconds: 120
imagePullSecrets:
- name: forgejo-registry
securityContext:
runAsUser: 65534
runAsNonRoot: true
fsGroup: 65534
seccompProfile:
type: RuntimeDefault
containers:
- name: hrrr-point-rs
# Shares the prop-grid-rs image so one CI pipeline produces
# both binaries. k8s `command:` overrides the default
# ENTRYPOINT to launch the per-QSO point worker.
image: git.mcintire.me/graham/prop-grid-rs:main-1777132414-6aa91e7
imagePullPolicy: IfNotPresent
command: ["/usr/bin/tini", "--", "/usr/local/bin/hrrr-point-worker"]
env:
- name: HRRR_BASE_URL
value: "http://skippy.w5isp.com:8080"
- name: HRRR_FALLBACK_BASE_URL
value: "https://noaa-hrrr-bdp-pds.s3.amazonaws.com"
- name: RUST_LOG
value: "info"
- name: PROP_GRID_RS_PG_CONNS
value: "4"
# Shared NFS idx cache — same directory as prop-grid-rs so a
# chain-step idx fetch warms both workers.
- name: HRRR_IDX_CACHE_DIR
value: "/data/hrrr_idx"
envFrom:
- secretRef:
name: prop-secrets
resources:
requests:
cpu: 100m
memory: 256Mi
limits:
# Per-batch peak is a single CONUS surface + pressure
# decode (~40 MB blob, ~200 MB wgrib2 working set plus
# the full 92k-cell merged CellValues map kept in memory
# until all requested points are drained). 1 Gi OOMKilled
# repeatedly — four restarts in ten minutes — so bumped
# to 2 Gi. The scheduler-on-worker2 placement has plenty
# of headroom.
cpu: "2"
memory: 2Gi
securityContext:
allowPrivilegeEscalation: false
runAsNonRoot: true
runAsUser: 65534
capabilities:
drop:
- ALL
seccompProfile:
type: RuntimeDefault
volumeMounts:
- name: data
mountPath: /data
volumes:
- name: data
nfs:
server: 10.0.15.103
path: /data