# Splunk Observability Thousandeyes Integration

> Use when the user asks to wire ThousandEyes telemetry into Splunk Observability Cloud, configure Integrations 2.0 APM trace linking, manage TE tests/alert rules/templates for an O11y integration, or produce the per-test-type O11y dashboards. Render and (optionally) apply a guarded ThousandEyes -> Splunk Observability Cloud integration end-to-end: Integration 1.0 OpenTelemetry metric stream (POST /v7/streams to ingest.<realm>.signalfx.com/v2/datapoint/otlp), Integrations 2.0 Splunk Observability APM connector (generic connector + splunk-observability-apm operation), plus verified create/readback flows for tests, alert rules, and TE Templates. Renders labels, tags, and TE-side dashboards as reviewable handoffs until authoritative API ID/readback schemas are encoded. Covers the canonical TE OpenTelemetry Data Model v2 taxonomy. Generates SignalFlow dashboard specs and starter detectors for hand-off to splunk-observability-dashboard-builder and splunk-observability-native-ops.

- Skill: `chambear2809/splunk-observability-thousandeyes-integration` (Agent Skill, multi-file: 15 files)
- Install (CLI): `npx skillmds@latest add chambear2809/splunk-observability-thousandeyes-integration`
- Raw SKILL.md: https://api.skillmd.com/api/skills/chambear2809/splunk-observability-thousandeyes-integration/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: chambear2809 (https://skillmd.com/u/chambear2809)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/chambear2809/splunk-observability-thousandeyes-integration

---


# Splunk Observability ThousandEyes Integration

## Prerequisites

| Tool or access | Purpose | Verify |
|---|---|---|
| Bash and Python 3 | Run bundled setup and validation helpers | `bash --version && python3 --version` |
| Required product/platform access | Inspect or configure the selected target | Complete the documented preflight |
| Credential files for live modes | Keep secrets out of chat | Verify paths only |

## Workflow Overview

```text
┌───────────┐   ┌───────────────┐   ┌───────────────┐   ┌─────────────────┐
│ Preflight │ → │ Render/review │ → │ Apply/handoff │ → │ Validate evidence │
└───────────┘   └───────────────┘   └───────────────┘   └─────────────────┘
```

## When to Activate

- Wire ThousandEyes telemetry into Splunk Observability Cloud, configure Integrations 2.0 APM trace linking, manage
  TE tests/alert rules/templates for an O11y integration, or produce the per-test-type O11y dashboards.
- Preview and review the splunk observability thousandeyes integration workflow before any live apply phase.
- Diagnose failed prerequisites, generated assets, configuration, or validation evidence.

## Scope

Follow the documented read-only or render-first path whenever it is available.
This skill does not imply permission to mutate live systems. Require explicit
apply flags, protected credentials, and operator review for state changes.

## Examples

Inspect the supported setup modes before selecting one:

```bash
bash skills/splunk-observability-thousandeyes-integration/scripts/setup.sh --help
```

Expected output: usage, supported modes, and required arguments are displayed
without changing the target environment.

Inspect validation modes before running completion checks:

```bash
bash skills/splunk-observability-thousandeyes-integration/scripts/validate.sh --help
```

Expected output: offline, live, and completion options are displayed when the
skill supports them; help exits without mutation.

## Troubleshooting

| Issue | Cause | Resolution |
|---|---|---|
| Preflight fails | A required tool or access path is missing | Resolve it before rendering or applying |
| Rendered assets are incomplete | Required non-secret inputs are absent | Complete intake and render again |
| Apply is blocked | Review, credentials, or explicit acceptance is missing | Use the documented handoff |
| Validation is incomplete | Live evidence is unavailable | Record the gap and keep completion open |

This is a **generalized TE -> Splunk Observability Cloud skill**, NOT tied to any one demo. A private RTSP/UDP/RTP demo repo was used during initial development to validate the TE Streams API + Integrations 2.0 mechanics; that demo's test taxonomy is demo-specific and is NOT carried into this skill. Source of truth: the public **ThousandEyes for OpenTelemetry Data Model v2** (`docs.thousandeyes.com/.../opentelemetry/data-model/data-model-v2/metrics`) and the **TE API v7** schemas (`developer.cisco.com/docs/thousandeyes/`).

## Three TE-side surfaces

1. **Integration 1.0 OpenTelemetry stream** — `POST /v7/streams` with `type=opentelemetry`, `signal=metric|trace|log` (default `metric`), `endpointType=http|grpc`, `streamEndpointUrl=https://ingest.<realm>.signalfx.com/v2/datapoint/otlp`, `customHeaders.X-SF-Token`, `dataModelVersion=v2`, `testMatch[]`, optional `filters.testTypes[]`.
2. **Integrations 2.0 Splunk Observability APM connector** — generic connector targeting `https://api.<realm>.signalfx.com` with `X-SF-Token`; assigned to the `splunk-observability-apm` operation for trace linking.
3. **TE assets** — render across the canonical taxonomy, with apply limited to operations that have ID-based readback:
   - **Tests**: `POST /v7/tests/{type}` for `http-server`, `page-load`, `web-transactions`, `api`, `agent-to-server`, `agent-to-agent`, `bgp`, `dns-server`, `dns-trace`, `dnssec`, `sip-server`, `voice`, `ftp-server`.
   - **Alert Rules**: `POST /v7/alerts/rules` aligned with the SignalFlow detector specs we ship for O11y.
   - **Labels**, **Tags**, and **TE-side Dashboards** are rendered for operator/API handoff; their generated apply scripts fail closed before mutation.
   - **TE Templates**: verified `POST /v7/templates` creation with
     Handlebars-only credential placeholders. Deployment remains a TE UI
     handoff because template-resource readback does not prove deploy
     completion and cannot make an interrupted deploy POST retry-safe.

## Out of scope (handed off)

- Splunk Platform `ta_cisco_thousandeyes` add-on -> [cisco-thousandeyes-setup](../cisco-thousandeyes-setup/SKILL.md).
- ThousandEyes MCP Server registration with Cursor / Claude / Codex / VS Code / Kiro -> [cisco-thousandeyes-mcp-setup](../cisco-thousandeyes-mcp-setup/SKILL.md).
- TE Enterprise Agent K8s/VM deployment.
- O11y dashboard apply -> [splunk-observability-dashboard-builder](../splunk-observability-dashboard-builder/SKILL.md).
- O11y detector apply -> [splunk-observability-native-ops](../splunk-observability-native-ops/SKILL.md).
- `signal=log` and `signal=trace` deep targets — render the payload shape and document that O11y's `/v2/datapoint/otlp` endpoint is metrics-only.

For the Splunk TA or any dashboard-companion handoff, follow [the shared TA completion gate](../shared/ta_completion_gate.md): package installation alone is not completion; validate ingest and dashboard visibility, macro alignment, and data, or record evidence that no pre-built dashboard ships.

## Safety Rules

- Never ask for the ThousandEyes API token, the Splunk Observability ingest token, or the Splunk Observability API token in conversation.
- Never pass any token on the command line or as an environment-variable prefix.
- Use file-based secret flags only:
  - `--te-token-file` for the TE bearer token (used for Streams, Tests, Alert Rules, Templates, Dashboards).
  - `--o11y-ingest-token-file` for the Splunk Observability **Org access token** with ingest authorization (used as `X-SF-Token` in the OTLP metric stream `customHeaders`).
  - `--o11y-api-token-file` for the Splunk Observability **User API access token** (used as `X-SF-Token` in the Integrations 2.0 APM connector and SignalFlow validate calls).
- Reject every direct token flag (`--te-token`, `--access-token`, `--token`, `--bearer-token`, `--api-token`, `--o11y-token`, `--sf-token`).
- Token files must be single-link, non-symlink regular files containing exactly
  one non-empty UTF-8 line and must be `chmod 600`. Live validators open them
  with no-follow descriptor checks. There is no permission bypass.
- TE Templates render with **Handlebars placeholders only** — TE API rejects plain-text credentials with HTTP 400.
- Apply scripts read token files at runtime through the fixed-origin HTTPS client; the renderer never reads token files. Every TE request is scoped with the rendered numeric `account_group_id` as `?aid=`.

## Primary Workflow

1. Collect non-secret values: realm (us0/us1/eu0/...), account group ID, list of TE test IDs or test types to include, optional alert rules / labels / tags / dashboards / templates.

2. Create or update a YAML/JSON spec from `template.example`. Spec supports test selection via:
   - explicit `test_match[]` (list of `{id, domain: cea|endpoint}`),
   - `filters.test_types[]` (any of the canonical TE OTel v2 types),
   - or `mode: all` (stream every enabled test).

3. Render and validate:

   ```bash
   bash skills/splunk-observability-thousandeyes-integration/scripts/setup.sh \
     --render \
     --validate \
     --spec skills/splunk-observability-thousandeyes-integration/template.example \
     --output-dir splunk-observability-thousandeyes-rendered
   ```

4. Review `splunk-observability-thousandeyes-rendered/`:
   - `.splunk-observability-thousandeyes-bundle.json` — private exclusive-root
     marker required before any managed directory can be cleaned on rerender.
   - `te-payloads/` — request bodies for `POST/PUT /v7/streams`, connector + APM operation, per-test JSON, alert rules, labels, tags, TE dashboards, templates.
   - `dashboards/` — one SignalFlow spec per selected test type (consumable by `splunk-observability-dashboard-builder`).
   - `detectors/` — starter detector specs (consumable by `splunk-observability-native-ops`).
   - `scripts/` — per-step apply scripts, list helpers, SignalFlow validation, hand-off drivers.
   - `metadata.json` — non-secret plan summary.

5. Apply only when explicitly requested:

   ```bash
   bash skills/splunk-observability-thousandeyes-integration/scripts/setup.sh \
     --apply stream,apm,tests,alert_rules,templates \
     --spec my-integration.yaml \
     --te-token-file /secure/path/te-token \
     --o11y-ingest-token-file /secure/path/o11y-ingest-token \
     --o11y-api-token-file /secure/path/o11y-api-token \
     --i-accept-te-mutations
   ```

   To apply only a subset:

   ```bash
   bash skills/splunk-observability-thousandeyes-integration/scripts/setup.sh \
     --apply stream,apm \
     --spec my-integration.yaml \
     --te-token-file /secure/path/te-token \
     --o11y-ingest-token-file /secure/path/o11y-ingest-token \
     --o11y-api-token-file /secure/path/o11y-api-token \
     --i-accept-te-mutations
   ```

   Every live apply requires an explicit section list (or `all`) and `--i-accept-te-mutations`. `all` means the currently automatable sections: stream, APM, tests, alert rules, and templates. Labels, tags, and TE dashboards remain render-only and fail closed if selected.

   Successful creates retain server-returned IDs under the rendered output's
   mode-700 `state/` directory and verify them by collection/item readback.
   Each logical object has a private cross-process lock, and an fsynced
   `in_progress` intent is written before POST. A missing ID, failed exact
   readback, or uncertain transport becomes `ambiguous` with
   `manual_reconcile: true`; later applies block before any second POST. Never
   delete or hand-edit ambiguous state to force a retry—reconcile the live TE
   object and retained ID first.

   Rerender preserves `state/` intentionally. It only cleans generated
   directories after validating the exclusive marker, canonical bundle root,
   expected top-level layout, same-filesystem trees, and single-link regular
   files. Root, home, repository-root, unmarked non-empty, symlinked, and
   hardlinked output targets fail without recursive deletion.

## Per-test-type metric coverage (TE OpenTelemetry Data Model v2)

| TE test type | Canonical metrics |
|--------------|-------------------|
| `agent-to-server` / `agent-to-agent` | `network.latency`, `network.loss`, `network.jitter` |
| `http-server` | `http.server.request.availability`, `http.server.throughput`, `http.client.request.duration` |
| `page-load` | `web.page_load.duration`, `web.page_load.completion` |
| `web-transactions` | `web.transaction.duration`, `web.transaction.errors.count`, `web.transaction.completion` |
| `api` / `api-step` | `api.duration`, `api.completion`, `api.step.duration`, `api.step.completion` |
| `bgp` | `bgp.path_changes.count`, `bgp.reachability`, `bgp.updates.count` |
| `dns-server` / `dns-trace` | `dns.lookup.availability`, `dns.lookup.duration` |
| `dnssec` | `dns.lookup.validity` |
| `voice` (RTP-stream) | `rtp.client.request.{mos,loss,discards,duration,pdv}` |
| `sip-server` | `sip.server.request.availability`, `sip.client.request.duration`, `sip.client.request.total_time` |
| `ftp-server` | `ftp.server.request.availability`, `ftp.client.request.duration`, `ftp.server.throughput` |

All charts are filtered by `thousandeyes.account.id` and `thousandeyes.test.id`.

## Hand-offs

- Dashboards: `scripts/handoff-dashboards.sh` emits the exact `splunk-observability-dashboard-builder` invocation.
- Detectors: `scripts/handoff-detectors.sh` emits the exact `splunk-observability-native-ops` invocation.
- TE MCP registration: `scripts/handoff-mcp.sh` emits the `cisco-thousandeyes-mcp-setup` invocation.
- Splunk Platform TA: `scripts/handoff-ta.sh` emits the `cisco-thousandeyes-setup` invocation.

See `reference.md` for option details and the `references/` annexes for the per-test-type catalog, TE Templates, alert rules, Integrations 2.0 APM, dashboards catalog, and SignalFlow validation.