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doca-dts

Deploy and configure the NVIDIA DOCA Telemetry Service (DTS) as it is actually run: (A) BlueField (built-in static pod), (B) Host (docker) on x86_64 / aarch64, or (C) DPF (DPUService / helm chart) — plus the shared configuration layer (`dts_config.ini`, providers, exporters, level labels) that all three share. The user's DEPLOYMENT TYPE decides everything; pick it first. Trigger even without "DTS" for "prometheus on the DPU shows nothing on 9100", "telemetry container exits right after start", "add ethtool counters to the telemetry DPUService", "how do I upgrade the built-in telemetry on BlueField", or "level labels per rack/pod". Refuse and route elsewhere for installing DOCA itself, the `doca_telemetry` / `doca_telemetry_exporter` library API, installing the DPF cluster, Grafana / Prometheus server setup or dashboard / PromQL authoring, and BFB / BSP imaging — those belong to other skills or to external products.

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NVIDIA/skills
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October 28, 2026 at 19:30
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license
Apache-2.0
name
doca-dts
description
Deploy and configure the NVIDIA DOCA Telemetry Service (DTS) as it is actually run: (A) BlueField (built-in static pod), (B) Host (docker) on x86_64 / aarch64, or (C) DPF (DPUService / helm chart) — plus the shared configuration layer (`dts_config.ini`, providers, exporters, level labels) that all three share. The user's DEPLOYMENT TYPE decides everything; pick it first. Trigger even without "DTS" for "prometheus on the DPU shows nothing on 9100", "telemetry container exits right after start", "add ethtool counters to the telemetry DPUService", "how do I upgrade the built-in telemetry on BlueField", or "level labels per rack/pod". Refuse and route elsewhere for installing DOCA itself, the `doca_telemetry` / `doca_telemetry_exporter` library API, installing the DPF cluster, Grafana / Prometheus server setup or dashboard / PromQL authoring, and BFB / BSP imaging — those belong to other skills or to external products.
metadata
{"kind":"service","doca_version":"3.5"}
compatibility
Container-shaped DOCA service. On BlueField Arm it ships inside the BlueField OS image (upgradable from the NGC image); on an x86_64 or aarch64 host it runs from the NGC `-host` image under docker; under DPF it is a `DPUService` rendered from the NGC `doca-telemetry` helm chart. The version anchor is the container tag / chart version, not the host DOCA install. Never fabricate a tag or chart version — read it from the NGC page or `helm show values`.
# DOCA Telemetry Service (DTS) **Scope note.** DTS is an *externally productized* DOCA service: it is not one of the DOCA SDK libraries, and its source of truth is the public DTS guide plus the NGC container / helm-chart pages and the DOCA Platform (DPF) public docs. This skill covers DTS **as deployed and configured** — which manifest or invocation starts it, which `dts_config.ini` keys shape it, how to verify it exports. It does not cover the library side: reading telemetry in your own program is `libs/doca-telemetry` (`doca-telemetry/SKILL.md`), publishing into DTS over IPC from your own program is `libs/doca-telemetry-exporter` (`doca-telemetry-exporter/SKILL.md`). **Where to start:** decide the **deployment type** before anything else — it selects the manifest, the config-directory path, the restart mechanism and the debug commands. Route through `doca-setup ## recognize` (`doca-setup/TASKS.md#recognize`) (`uname -m`, `lspci -d 15b3:`, `bf-release`) to learn whether you are on a BlueField Arm image (shape A), a plain host (shape B), or inside a DPF-managed cluster (shape C), then open [`TASKS.md ## configure`](TASKS.md#configure) and follow that shape's column. State the shape in the answer before the first command, even when the question implies it ("on my BlueField" is shape A: the built-in static pod under kubelet, inspected with `crictl`, not `docker`). Every configure, change or debug answer ends with the verification contract, whose green signal is two `/metrics` scrapes at least two `update` intervals apart showing a counter that advanced ([`TASKS.md ## test`](TASKS.md#test) step 3). If the question is *what can DTS collect and export, and in which mode*, start at [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes). If DOCA / the BlueField OS is not installed yet, route to `doca-setup/SKILL.md` first. **Host docker container exits right after start (shape B).** Check the documented host shape and copy the exact invocations from the version-matched guide's "Host Deployment" section instead of inventing flags: (1) a `-host` image tag copied from the NGC `doca_telemetry` tag list, never guessed; (2) the one-shot init container (`DTS_CONFIG_DIR=host /usr/bin/telemetry-init.sh`) runs and exits 0 before the long-running `telemetry-run.sh` container; (3) the guide's host-namespace flags and the `config`, `ipc_sockets`, `data` and `log` mounts under `/opt/mellanox/doca/services/telemetry/`; (4) the documented run uses `--rm`, so `docker logs` finds nothing: read the host-mounted `.../telemetry/log` directory or re-run once without `-d`. **BlueField built-in DTS (shape A) serves nothing on port 9100.** Inspect with `crictl pods`, `crictl ps -a` and `crictl logs <id>` (not docker); check `prometheus=` and `enable-provider=` in `/opt/mellanox/doca/services/telemetry/config/dts_config.ini` (edit the file it links to and allow about 60 s for the respawn). Green signal: two `curl <bluefield-ip>:9100/metrics` scrapes at least two update intervals apart show a counter that advanced. Change one variable per iteration. **DPF-managed DTS (shape C).** Change providers and keys in the `DPUService` helm values (`configMapData`), confirm the keys with `helm show values`, apply with `kubectl apply -f`, and check the service conditions with `dpfctl`. Never hand-edit the INI on a DPF-managed DPU. ## Example questions this skill answers well The CLASSES of DTS questions this skill is built to answer, each with one worked example. The class is the load-bearing piece; the worked example is one instance. - **"Which deployment shape am I in, and what does that change?"** — worked example: *"I have a BlueField with DTS already running and a separate x86 host with no DPU; do I configure them the same way?"*. Answered by the shape table in [`CAPABILITIES.md ## Pattern overview`](CAPABILITIES.md#pattern-overview) + the shape-first step in [`TASKS.md ## configure`](TASKS.md#configure). - **"How do I enable or disable a provider / component?"** — worked example: *"turn on `ethtool` counters and drop `sysfs.eth`"*. Answered by the provider inventory in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) + the `enable-provider=` / `disable-provider=` step in [`TASKS.md ## modify`](TASKS.md#modify) (in DPF the same option is set as `key: value` under `configMapData`, not in the INI). - **"Which exporter do I pick and where does the endpoint live?"** — worked example: *"Prometheus should scrape the DPU, but the fleet also pushes to a Fluent Bit forwarder"*. Answered by the pull-vs-push exporter table in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) + the exporter step in [`TASKS.md ## configure`](TASKS.md#configure). - **"How do I upgrade or pin the DTS version on a given shape?"** — worked example: *"the BlueField OS bundles an older DTS; I want the NGC one"*. Answered by the tag / chart-version rule in [`CAPABILITIES.md ## Version compatibility`](CAPABILITIES.md#version-compatibility) + the NGC-yaml download pattern in [`TASKS.md ## build`](TASKS.md#build), with the generic kubelet static-pod manifest mechanics in `doca-container-deployment/TASKS.md#configure`. - **"How do I attach rack / pod / SU labels to every metric?"** — worked example: *"per-rack level labels for a DPF-managed fleet"*. Answered by the level-labels model in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) + the `level_labels.ini` / `DPUFlavorTemplate` step in [`TASKS.md ## modify`](TASKS.md#modify), with the reprovision warning from [`CAPABILITIES.md ## Safety policy`](CAPABILITIES.md#safety-policy). - **"The container is up but nothing is exported — which layer failed?"** — worked example: *"`curl :9100/metrics` on the DPU returns nothing, `crictl ps` shows the pod running"*. Answered by the layer split in [`CAPABILITIES.md ## Error taxonomy`](CAPABILITIES.md#error-taxonomy) + the layered ladder in [`TASKS.md ## debug`](TASKS.md#debug). - **"How do I prove a config change actually took effect?"** — worked example: *"I edited `dts_config.ini`; did DTS restart and pick it up?"*. Answered by the restart-within-60-s contract and the green signal in [`CAPABILITIES.md ## Observability`](CAPABILITIES.md#observability) + the bounded loop in [`TASKS.md ## test`](TASKS.md#test). ## When to load this skill Load this skill for **hands-on DTS deployment or configuration work**: - **(A) BlueField (built-in static pod):** understanding the kubelet static pod under `/etc/kubelet.d/doca_telemetry_standalone.yaml`, its `initContainers` (`telemetry-init.sh`, `enable-fluent-forward.sh`), disabling auto-start, or upgrading to a newer NGC image than the BlueField OS bundles. - **(B) Host (docker):** running the NGC `-host` image with the documented namespace / device / volume flag families, the one-shot init container, and deciding whether `--gpus all` or the MST device mapping apply to this host. - **(C) DPF (DPUService / helm chart):** authoring a `DPUService` for the `doca-telemetry` chart, mapping `dts_config.ini` keys onto `configMapData`, keeping the Prometheus port consistent between `configMapData` and `configPorts`, and reading `dpfctl describe` conditions. - **Configuration (all shapes):** sampling interval, providers and components, exporters (Prometheus pull; Fluent Bit / OpenTelemetry / Prometheus Remote Write push; storage to `/data`), IPC with external applications, level labels and device labels, the HFT HTTP API. - **Debugging:** the container exits at start or restart-loops, the Prometheus endpoint is empty, a provider shows no counters, the Fluent Bit destination receives nothing, or a DPF `DPUService` never reaches `ApplicationsReady`. Do **not** load this skill for general DOCA orientation, installing DOCA or the BlueField OS, installing DPF itself, library-API questions, or building Grafana dashboards. For those, route via `doca-public-knowledge-map/SKILL.md`, `doca-setup/SKILL.md`, or the matching `libs/` skill. ## What this skill provides This is a **thin loader**. Substantive material lives in two companion files: - `CAPABILITIES.md` — the three deployment shapes and what each fixes (manifest, config path, restart mechanism, debug tooling); the inventory-discovery procedure (generated config / rendered ConfigMap over the example tables) with the provider and exporter catalogues (pull / push / storage); the version anchor (image tag / chart version, never the host DOCA release); the layered error taxonomy (image → manifest → init / config → providers → exporter → consumer); the observability surface with its named green signal; the safety policy; and the public-source pointer. - `TASKS.md` — step-by-step workflows for the in-scope verbs: `configure`, `build` (assembling the deployment artifact — there is nothing to compile), `modify`, `run`, `test`, `debug`, plus a `Command appendix`, a `Deferred task verbs` block, and the `Cross-cutting` contracts every change-recommending answer ends with. The skill assumes the operator has the root / `sudo` or cluster credentials the public DTS guide expects, and a target that already runs a BlueField OS image, a docker-capable host, or a working DPF cluster. It does not provide any of those prerequisites. ## What this skill deliberately does not ship This skill is **agent guidance**, not a templates or sample-config bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add: - **Copy-paste manifests, helm values files, or `dts_config.ini` bodies.** The kubelet yaml is published per version on the NGC container page; the chart's keys come from `helm show values`; the INI options come from the live guide for the running version. The agent quotes the documented flag / key *families* with their "why" and points at the exact guide section for the verbatim recipe. - **Container image tags or chart versions as facts.** Tags follow the `<dts-version>-doca<doca-version>[-host]` shape and are read from the NGC tag list at answer time; a memorized tag is the canonical hallucination for a service skill. See `doca-version/SKILL.md`. - **Grafana dashboards or Prometheus / Fluent Bit server configs.** The skill names the DTS-side endpoint and the consumer-side target shape and stops there. - **Credentials, image pull secrets, or cluster credential files.** `imagePullSecrets` is named as a chart key family; its contents are the user's. - **A `samples/`, `templates/`, or `reference/` subtree** of any kind. A mock or incomplete artifact in this skill's tree, even one labeled "reference", is misleading: operators will read it as production-ready. ## Loading order 1. Read this file first to confirm the question is about DTS *as deployed* (not the library API, not DPF installation), and fix the deployment shape via `doca-setup ## recognize` (`doca-setup/TASKS.md#recognize`). 2. **For the shape table, providers, exporters, version anchor, error taxonomy, observability and safety policy, see [CAPABILITIES.md](CAPABILITIES.md).** 3. **For step-by-step workflows — configure, build, modify, run, test, debug — see [TASKS.md](TASKS.md)**, reading only the column for the chosen shape. 4. **Apply the safety overlay in every phase.** privileged mode with host namespaces, `systemctl start dpe`, fwctl / mst device exposure, and a DPF flavor-template change that reprovisions DPUs are the safety-relevant actions — see [`CAPABILITIES.md ## Safety policy`](CAPABILITIES.md#safety-policy). ## Related skills - `doca-setup/SKILL.md` — the front door: `## recognize` (`doca-setup/TASKS.md#recognize`) decides the deployment shape; `## no-install` (`doca-setup/TASKS.md#no-install`) carries the tag-selection rule this skill reuses. - `doca-container-deployment/SKILL.md` — generic kubelet standalone / static-pod manifest mechanics on BlueField and the pod-spec do-not-invent rule; the DTS-specific facts (`/etc/kubelet.d/doca_telemetry_standalone.yaml`, the NGC `configs/<version>/` yaml download, the `crictl pods` / `crictl ps` / `crictl logs` inspection) come from the DTS guide and the NGC container page and live in this skill. Shape A delegates only the generic mechanics there via `## configure` (`doca-container-deployment/TASKS.md#configure`) and `## run` (`doca-container-deployment/TASKS.md#run`). - `doca-version/SKILL.md` — canonical version-handling rules; DTS overlays "the anchor is the container tag / chart version, not the host DOCA release". - `doca-debug/SKILL.md` — the universal debug-loop contract (`doca-debug/CAPABILITIES.md#universal-debug-loop-contract`) and shared command appendix (`doca-debug/TASKS.md#command-appendix`) that `TASKS.md ## debug` overlays. - `doca-hardware-safety/CAPABILITIES.md#safety-policy` — DTS is read-only telemetry, but its deployment touches privileged containers, `dpe`, firmware-facing devices and DPF reprovisioning. - `libs/doca-telemetry` (`doca-telemetry/SKILL.md`) — the reader library; "consume telemetry in my program" goes there. - `libs/doca-telemetry-exporter` (`doca-telemetry-exporter/SKILL.md`) — the publisher library; "my app reports but DTS sees nothing" is split: IPC socket / shared-memory mounts are this skill's, the `doca_telemetry_exporter_*` calls are that skill's. - `doca-public-knowledge-map/SKILL.md` — URL routing for the public DOCA documentation set; [`CAPABILITIES.md ## Public-source pointer`](CAPABILITIES.md#public-source-pointer) carries the DTS guide, NGC and DPF URLs.
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