Graham McIntire
38cf1336b7
The image tags here are placeholders — the live tag is set by the ArgoCD Application's spec.source.kustomize.images field, same as before. Only the registry hostname and path changed. Pull secret 'forgejo-registry' in the prop namespace now carries both git.mcintire.me and codeberg.org auths during the transition.
161 lines
6.8 KiB
YAML
161 lines
6.8 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: prop-grid-rs
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namespace: prop
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# Phase 2 cutover: Rust writes directly to /data/scores. Elixir only
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# runs the f00 analysis-hour step (which carries enrichment Rust
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# doesn't own yet — native-level duct merge, NEXRAD composite,
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# commercial-link degradation, ProfilesFile write). f01..f18 land
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# here from the Rust worker.
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spec:
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# Replicas claim from grid_tasks via FOR UPDATE SKIP LOCKED with no
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# coordination; anti-affinity spreads them across distinct hosts so
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# any single node going down leaves the hourly chain with other
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# workers still draining.
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# Replica count is HPA-managed (hpa.yaml, min 1 / max 4).
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minReadySeconds: 5
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# Zero-downtime rollout for the propagation chain. With HPA min=1
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# and the previous maxSurge:0/maxUnavailable:1 config, every deploy
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# tore the single replica down before bringing the new one up,
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# leaving a multi-minute window where the :05 hourly cron had no
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# worker to claim tasks. Surge-first means the new pod is ready
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# before the old one drains; the two briefly overlap and race for
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# `grid_tasks` rows via FOR UPDATE SKIP LOCKED, which is safe.
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 1
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maxUnavailable: 0
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selector:
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matchLabels:
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app: prop-grid-rs
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template:
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metadata:
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labels:
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app: prop-grid-rs
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tier: grid-rs
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annotations:
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# Scraped by the Prometheus at 10.0.15.25. Metrics endpoint is
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# on container port 9100 (see METRICS_ADDR env below).
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prometheus.io/scrape: "true"
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prometheus.io/port: "9100"
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prometheus.io/path: "/metrics"
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spec:
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# No node pinning — scheduler picks any host. Anti-affinity was
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# removed so HPA can stack multiple replicas on the same node if
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# that's where the scheduler wants them; grid-rs is CPU-bound but
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# not memory-bound so colocating a couple of replicas is fine.
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# Wide window for an in-flight chain step (typically 1–3 min) to
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# finish before SIGKILL. The worker handles SIGTERM by stopping
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# task pickup; releasing the current claim is the cron's job
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# (visibility timeout reclaims abandoned `grid_tasks` rows).
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terminationGracePeriodSeconds: 300
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imagePullSecrets:
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- name: forgejo-registry
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securityContext:
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runAsUser: 65534
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runAsNonRoot: true
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fsGroup: 65534
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seccompProfile:
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type: RuntimeDefault
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containers:
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- name: prop-grid-rs
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# Image built by a new CI pipeline from rust/prop_grid_rs/.
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# Multi-arch (amd64 + arm64) — reuses the repo's existing
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# buildx wiring.
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image: codeberg.org/gmcintire/prop-grid-rs:main-1777132414-6aa91e7
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imagePullPolicy: IfNotPresent
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env:
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# Elixir secrets bundle carries DATABASE_URL already. Rust
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# reads it directly (sqlx connects with the same URL).
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- name: HRRR_BASE_URL
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value: "http://skippy.w5isp.com:8080"
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# When the LAN caching proxy at skippy is unreachable, fetches
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# retry once against the NOAA S3 public bucket so a proxy
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# outage degrades to direct S3 reads instead of stalling the
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# hourly pipeline.
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- name: HRRR_FALLBACK_BASE_URL
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value: "https://noaa-hrrr-bdp-pds.s3.amazonaws.com"
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- name: PROP_SCORES_DIR
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value: "/data/scores"
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# Shared idx-file cache on NFS. All grid-rs replicas read/write
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# through the same directory; idx bodies are immutable per HRRR
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# run, so cross-replica hits eliminate redundant NOAA S3 calls.
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- name: HRRR_IDX_CACHE_DIR
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value: "/data/hrrr_idx"
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- name: RUST_LOG
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value: "info"
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# Single concurrent task per pod. 2 replicas → 2 concurrent
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# cluster-wide. Raised from 2 after the new 3 Gi limit still
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# OOMed under 2-parallel forecast load — the NFS-backed
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# score-file writes (23 files × ~2 MB each) keep cgroup page
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# cache high enough that two concurrent tasks plus the
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# wgrib2 working set regularly crosses 3 Gi. Single-lane
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# parallelism stays comfortably under 2 Gi and lets the
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# analysis step (native duct + NEXRAD + commercial merges)
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# run safely within the same budget.
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- name: PROP_GRID_RS_PARALLELISM
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value: "1"
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# Pool size = parallelism + 2 (NOTIFY + retry slack). Kept in
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# sync with PROP_GRID_RS_PARALLELISM when either changes.
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- name: PROP_GRID_RS_PG_CONNS
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value: "3"
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- name: METRICS_ADDR
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value: "0.0.0.0:9100"
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envFrom:
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- secretRef:
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name: prop-secrets
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ports:
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- name: metrics
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containerPort: 9100
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protocol: TCP
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# Liveness is "the process is still running"; let the kubelet
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# restart us if we crash. Claiming work from grid_tasks is the
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# implicit readiness signal — an idle pod is still healthy
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# (the queue is simply empty). A minimal readiness check on
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# /health confirms the metrics listener is up, which doubles
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# as evidence the tokio runtime is alive.
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readinessProbe:
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httpGet:
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path: /health
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port: 9100
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# Generous initialDelaySeconds so a slow DB connect during
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# startup (Postgres acquire_timeout is 10s) can't race the
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# first probe. failureThreshold=6 keeps the pod from
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# flapping if a single scrape times out during a long
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# chain step.
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initialDelaySeconds: 15
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periodSeconds: 10
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timeoutSeconds: 3
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failureThreshold: 6
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resources:
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requests:
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cpu: 100m
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memory: 768Mi
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limits:
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cpu: "4"
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# Analysis tasks (f00) run the native-level HRRR decode
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# (~530 MB GRIB2 + wgrib2 working set) on top of 2 concurrent
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# forecast tasks. 2 Gi OOM'd reliably in the 13 h after
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# Stream A cutover. 3 Gi leaves room for the analysis
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# wgrib2 peak without eliminating the forecast-lane
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# parallelism headroom.
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memory: 3Gi
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securityContext:
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allowPrivilegeEscalation: false
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runAsNonRoot: true
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runAsUser: 65534
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capabilities:
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drop:
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- ALL
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seccompProfile:
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type: RuntimeDefault
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volumeMounts:
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- name: data
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mountPath: /data
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volumes:
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- name: data
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nfs:
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server: 10.0.15.103
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path: /data
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