prop/k8s/deployment-grid-rs.yaml
Graham McIntire 5bb79746a4
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apiVersion: apps/v1
kind: Deployment
metadata:
name: prop-grid-rs
namespace: prop
# Phase 2 cutover: Rust writes directly to /data/scores. Elixir only
# runs the f00 analysis-hour step (which carries enrichment Rust
# doesn't own yet — native-level duct merge, NEXRAD composite,
# commercial-link degradation, ProfilesFile write). f01..f18 land
# here from the Rust worker.
spec:
# Replicas claim from grid_tasks via FOR UPDATE SKIP LOCKED with no
# coordination; anti-affinity spreads them across distinct hosts so
# any single node going down leaves the hourly chain with other
# workers still draining.
# Replica count is HPA-managed (hpa.yaml, min 1 / max 4).
minReadySeconds: 5
# Zero-downtime rollout for the propagation chain. With HPA min=1
# and the previous maxSurge:0/maxUnavailable:1 config, every deploy
# tore the single replica down before bringing the new one up,
# leaving a multi-minute window where the :05 hourly cron had no
# worker to claim tasks. Surge-first means the new pod is ready
# before the old one drains; the two briefly overlap and race for
# `grid_tasks` rows via FOR UPDATE SKIP LOCKED, which is safe.
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
selector:
matchLabels:
app: prop-grid-rs
template:
metadata:
labels:
app: prop-grid-rs
tier: grid-rs
annotations:
# Scraped by the Prometheus at 10.0.15.31 via the
# `kubernetes-pods` job in prometheus.yml.j2 (apiserver proxy).
# Metrics endpoint is on container port 9100 (see METRICS_ADDR
# env below). `prometheus.io/job` makes the dashboard's
# `up{job="prop-grid-rs"}` selector work without per-pod
# relabel.
prometheus.io/scrape: "true"
prometheus.io/port: "9100"
prometheus.io/path: "/metrics"
prometheus.io/job: "prop-grid-rs"
spec:
# No node pinning — scheduler picks any host. Anti-affinity was
# removed so HPA can stack multiple replicas on the same node if
# that's where the scheduler wants them; grid-rs is CPU-bound but
# not memory-bound so colocating a couple of replicas is fine.
# Wide window for an in-flight chain step (typically 13 min) to
# finish before SIGKILL. The worker handles SIGTERM by stopping
# task pickup; releasing the current claim is the cron's job
# (visibility timeout reclaims abandoned `grid_tasks` rows).
terminationGracePeriodSeconds: 300
imagePullSecrets:
- name: forgejo-registry
securityContext:
runAsUser: 65534
runAsNonRoot: true
fsGroup: 65534
seccompProfile:
type: RuntimeDefault
containers:
- name: prop-grid-rs
# Image built by a new CI pipeline from rust/prop_grid_rs/.
# Multi-arch (amd64 + arm64) — reuses the repo's existing
# buildx wiring.
image: git.mcintire.me/graham/prop-grid-rs:main-1781279001-e879f29
imagePullPolicy: IfNotPresent
env:
# Elixir secrets bundle carries DATABASE_URL already. Rust
# reads it directly (sqlx connects with the same URL).
- name: HRRR_BASE_URL
value: "http://skippy.w5isp.com:8080"
# When the LAN caching proxy at skippy is unreachable, fetches
# retry once against the NOAA S3 public bucket so a proxy
# outage degrades to direct S3 reads instead of stalling the
# hourly pipeline.
- name: HRRR_FALLBACK_BASE_URL
value: "https://noaa-hrrr-bdp-pds.s3.amazonaws.com"
- name: PROP_SCORES_DIR
value: "/data/scores"
# Shared idx-file cache on NFS. All grid-rs replicas read/write
# through the same directory; idx bodies are immutable per HRRR
# run, so cross-replica hits eliminate redundant NOAA S3 calls.
- name: HRRR_IDX_CACHE_DIR
value: "/data/hrrr_idx"
- name: RUST_LOG
value: "info"
# Single concurrent task per pod. 2 replicas → 2 concurrent
# cluster-wide. Raised from 2 after the new 3 Gi limit still
# OOMed under 2-parallel forecast load — the NFS-backed
# score-file writes (23 files × ~2 MB each) keep cgroup page
# cache high enough that two concurrent tasks plus the
# wgrib2 working set regularly crosses 3 Gi. Single-lane
# parallelism stays comfortably under 2 Gi and lets the
# analysis step (native duct + NEXRAD + commercial merges)
# run safely within the same budget.
- name: PROP_GRID_RS_PARALLELISM
value: "1"
# Pool size = parallelism + 2 (NOTIFY + retry slack). Kept in
# sync with PROP_GRID_RS_PARALLELISM when either changes.
- name: PROP_GRID_RS_PG_CONNS
value: "3"
- name: METRICS_ADDR
value: "0.0.0.0:9100"
envFrom:
- secretRef:
name: prop-secrets
ports:
- name: metrics
containerPort: 9100
protocol: TCP
# Liveness is "the process is still running"; let the kubelet
# restart us if we crash. Claiming work from grid_tasks is the
# implicit readiness signal — an idle pod is still healthy
# (the queue is simply empty). A minimal readiness check on
# /health confirms the metrics listener is up, which doubles
# as evidence the tokio runtime is alive.
readinessProbe:
httpGet:
path: /health
port: 9100
# Generous initialDelaySeconds so a slow DB connect during
# startup (Postgres acquire_timeout is 10s) can't race the
# first probe. failureThreshold=6 keeps the pod from
# flapping if a single scrape times out during a long
# chain step.
initialDelaySeconds: 15
periodSeconds: 10
timeoutSeconds: 3
failureThreshold: 6
resources:
requests:
cpu: 100m
memory: 768Mi
limits:
cpu: "4"
# Analysis tasks (f00) run the native-level HRRR decode
# (~530 MB GRIB2 + wgrib2 working set) on top of 2 concurrent
# forecast tasks. 2 Gi OOM'd reliably in the 13 h after
# Stream A cutover. 3 Gi leaves room for the analysis
# wgrib2 peak without eliminating the forecast-lane
# parallelism headroom.
memory: 3Gi
securityContext:
allowPrivilegeEscalation: false
runAsNonRoot: true
runAsUser: 65534
capabilities:
drop:
- ALL
seccompProfile:
type: RuntimeDefault
volumeMounts:
- name: data
mountPath: /data
volumes:
- name: data
nfs:
server: 10.0.19.103
path: /data