Root cause of the blank /map analysis breakdown: the skippy.w5isp.com
caching proxy was unreachable from the cluster, so every f00 analysis
step failed at the idx fetch and Rust never wrote a ProfilesFile. The
/map point-detail panel silently degraded to empty factors because
no profile ever lands on `/data/scores/profiles/`.
HrrrClient now takes an optional fallback base. When the primary base
exhausts its retries (5× exponential backoff), fetches retry once
against the fallback — defaulted to the NOAA S3 public bucket. Forecast,
analysis, and native-duct paths all go through the same
fetch_blob_with_fallback helper so a proxy outage degrades to direct
S3 instead of stalling.
Moved the native-URL builder out of native_duct into fetcher so the
single helper can build both primary and fallback URLs for the native
hybrid-sigma product.
Set OTEL_EXPORTER_OTLP_ENDPOINT on the prop deployment to the cluster
Collector so Phoenix/Bandit/Oban spans export and link up with
downstream prop-grid-rs / prop-hrrr-point-rs traces in Tempo. Without
this the Elixir app fell back to traces_exporter :none and the Rust
worker spans had no parent, leaving the trace graph disconnected.
The stale comment referenced opentelemetry_ecto as the reason export
was off, but that package was never added to mix.exs (only
opentelemetry_phoenix / _bandit / _oban are listed), so the
span-flood concern no longer applies.
Ecto auto-instrumentation created one span per query, so Oban jobs
running thousands of DB ops produced traces with 8k+ child spans.
Tempo's compactor couldn't ingest them — it stalled long enough to
miss heartbeats, got auto-forgotten from the ring, and crash-looped.
The Elixir grpcbox exporter then blew up trying to reconnect.
Stops the cascade: OTLP endpoint removed from prop and prop-backfill
Deployments, opentelemetry_ecto removed from deps, Phoenix/Oban/Bandit
auto-instrumentation retained. Rust workers still export to Tempo.
Shared NFS idx cache at /data/hrrr_idx lets all prop-grid-rs and
hrrr-point-rs replicas deduplicate redundant NOAA S3 idx fetches.
Opt-in via HRRR_IDX_CACHE_DIR; falls back to in-memory-only when unset.
Also scales prop-grid-rs to 3 replicas (no talos5 pinning),
hrrr-point-rs to 2 replicas, and drops hot pod replicas 4→3 so the
physical-host anti-affinity still fits with talos5 cordoned off for
Postgres.
Adds the OTel deps (opentelemetry + exporter + phoenix / ecto / oban /
bandit auto-instrumentation helpers) and attaches them in
Application.start/2 so the existing Phoenix, Ecto, Oban, and Bandit
telemetry events flow as OTLP spans without any call-site changes.
Exporter config is gated on OTEL_EXPORTER_OTLP_ENDPOINT in
config/runtime.exs — set in the k8s manifests to the cluster
collector (otel-collector.observability.svc.cluster.local:4317).
When unset we switch traces_exporter to :none so nothing is shipped;
dev/test stays quiet.
Resource attributes tag spans with service.name=microwaveprop and
service.namespace=prop, matching the Rust workers' attribute shape
so Tempo can group the full hourly chain across both languages.
Both the main prop deployment and the backfill deployment get the
env; backfill is still a full BEAM node running enrichment workers,
so its Oban/Ecto spans are worth seeing too.
New telemetry module wires tracing-subscriber to both a local JSON
fmt layer (keeps kubectl-logs output identical) and an
OpenTelemetry OTLP/gRPC exporter, activated only when
OTEL_EXPORTER_OTLP_ENDPOINT is set. The returned TelemetryGuard
holds the SdkTracerProvider until process shutdown so queued spans
flush before exit.
Both bin targets (worker, hrrr_point_worker) now call
telemetry::init(service_name) at startup; service_name becomes the
OTel service.name attribute so Tempo groups spans per binary.
Tracing instrumentation on the three main work units:
- pipeline::run_chain_step (forecast f01..f18)
- pipeline::run_analysis_step (analysis f00)
- hrrr_points::process_batch (per-QSO point drain)
k8s manifests set OTEL_EXPORTER_OTLP_ENDPOINT to the cluster
collector at otel-collector.observability.svc.cluster.local:4317.
Backend wiring lives in the vntx-infra repo.
Three fixes after hrrr-point-rs restarts on the first live drain:
1. Type mismatch (hard error): the `profile` column on `hrrr_profiles`
is `jsonb[]` (one element per pressure level), but the Rust worker
was binding a single jsonb array-of-objects cast as `::jsonb`. Every
insert failed with `column "profile" is of type jsonb[] but
expression is of type jsonb`. Switched to
`Vec<sqlx::types::Json<Value>>`, dropped the explicit `::jsonb`
cast, and enabled sqlx's `json` feature so the encoder maps the
array into `_jsonb` correctly.
2. Silent zero-inserts: four consecutive 2019-09-22 batches completed
with `profiles_inserted: 0` and no diagnostic. Most likely the
upstream archive doesn't keep cycles that old, but without a log
it looks identical to a snap-mismatch bug. Added a WARN when both
surface and pressure grids come back empty so fetch-miss vs.
projection-miss is distinguishable.
3. OOMKilled: the pod took four OOM restarts in ten minutes at 1 Gi.
A single CONUS decode holds the ~40 MB blob, the ~200 MB wgrib2
working set, AND the full 92k-cell merged map until all requested
points drain. 1 Gi has no headroom. Bumped to 2 Gi, matching the
rest of the per-container budgets in this namespace.
Two concurrent forecast tasks plus the NFS score-file write cache (23
files x ~2 MB) plus the analysis step's wgrib2 peak repeatedly crossed
the 3 Gi cgroup limit. Single-lane parallelism per pod keeps steady RSS
under 2 Gi; with 2 replicas that still gives 2 concurrent tasks
cluster-wide.
PROP_GRID_RS_PG_CONNS follows the parallelism+2 formula, dropping from
4 to 3.
Two bugs surfacing 13 h after Stream A cutover:
1. prop-grid-rs pods OOMKilled 16–18× overnight on the analysis step.
f00's native-level GRIB2 (~530 MB + wgrib2 working set) runs on top
of 2 concurrent forecast tasks, briefly reaching ~2 Gi. 2 Gi limit
was too tight — 3 Gi plus parallelism 3→2 gives the analysis step
room without eliminating forecast-lane headroom.
2. hrrr-point-rs pod is CrashLoopBackOff because its container is
running image main-1776640915-65f7963 (pre-Stream-C) which doesn't
contain the hrrr_point_worker binary. The grid-rs CI run for
commit 4fefb81 failed and no newer image got published. Touch the
Dockerfile to re-trigger the workflow so flux picks up a new tag
with both binaries. No functional Dockerfile change, just a
docstring update so the path-filter kicks.
Forecast + analysis both claim per FOR UPDATE SKIP LOCKED, so
reducing per-pod parallelism doesn't break the chain — the two
replicas cover 4 slots cluster-wide, which still drains f01..f18 in
~5 min.
Phase 3 Stream C Rust side. Completes the HrrrFetchWorker port.
Pipeline:
- db::claim_next_hrrr_task — FOR UPDATE SKIP LOCKED on hrrr_fetch_tasks,
newest valid_time first. Accepts the points JSONB directly.
- hrrr_points::process_batch — fetch surface + pressure GRIB2 once
per task (tokio::try_join), decode via the existing wgrib2 plumbing,
then for each requested point pull the cell and UPSERT INTO
hrrr_profiles (conflict on lat/lon/valid_time).
- db::complete_hrrr_task / fail_hrrr_task — status transitions; Elixir
backfill re-enqueues failed rows on next /30-min scan.
Shipping pieces:
- new bin src/bin/hrrr_point_worker.rs
- new module src/hrrr_points.rs (process_batch, upsert_profile)
- new Cargo [[bin]] entry; Dockerfile builds both binaries in one stage
and ships them in the runtime image so a single CI pipeline covers
the whole cluster
- k8s/deployment-hrrr-point-rs.yaml (1 replica, 1 Gi limit, anti-affinity
against prop-grid-rs so chain + point work don't fight for wgrib2
slots). Uses the same image; command: override picks the right binary.
- kustomization.yaml: include the new deployment so flux applies it
- deployment-grid-rs.yaml: bump readiness initialDelaySeconds 3→15 +
failureThreshold 3→6 so a slow DB connect during startup can't race
the first probe
119 Rust tests green.
