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ryanmaclean
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tundra-dome

Validate the Tundra Dome stack across local and KIND Kubernetes environments.

1|Updated Jul 16, 2025
Search Tags:#deployment#observability#Datadog#Airflow#Kafka#KIND#tundra-dome
One-click install
npx skills add https://github.com/ryanmaclean/vibecode-webgui --skill tundra-dome
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tundra-dome
Source: https://github.com/ryanmaclean/vibecode-webgui/tree/main/skills/tundra-dome
Command: npx skills add https://github.com/ryanmaclean/vibecode-webgui --skill tundra-dome

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Standardizes bead/PR/issue flow across Gas Town → Tundra Dome, enabling consistent deployment, validation, and observability of the Tundra Dome stack (Kafka, Airflow, Datadog) in both local environments and KIND.

Core Features & Use Cases

  • Lane routing, KPI snapshots, and Datadog dashboard validation
  • Quick Tundra Dome rollout checks across hosts
  • Kubernetes-based deployment bootstrap for local and KIND environments

Quick Start

Install prerequisites (bd, gt, kubectl, kind, docker, and the datadog-agent CLI if available).

To bootstrap the environment:

  • Create namespaces: kubectl create ns tundra-dome && kubectl create ns datadog
  • Create secrets: kubectl -n tundra-dome create secret generic tundra-dome-secrets --from-literal=DD_API_KEY=$DD_API_KEY --dry-run=client -o yaml | kubectl apply -f -
  • kubectl -n datadog create secret generic tundra-dome-secrets --from-literal=DD_API_KEY=$DD_API_KEY --dry-run=client -o yaml | kubectl apply -f -
  • kubectl apply -f infra/tundra-dome/tundra-dome.clean.yaml
  • kubectl get pods -n tundra-dome -w Representative quick actions:
  • Issue → bead sync (GitHub/Gitea): Set GITHUB_DRY_RUN=true to test; run daemon/kafka-dsm/github-issue-dispatcher.sh; then set GITHUB_DRY_RUN=false for live runs.
  • Lane routing: Update labels to tundra-lane-* beads and adjust related config (airflow/dags and dispatcher scripts).
  • KPI snapshot + DD checks: Run python3 daemon/kpi_snapshot.py and verify td_event_emitter metrics.
  • Kafka health: Use td-kafka tools to verify topics and consumer groups.
  • Launchd services: Restart services via launchctl and inspect logs.
  • OpenCode/OpenRouter notes: Optional integration steps exist for model-based deployments.

Frequently Asked Questions about tundra-dome

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bootstrap Kafka and Airflow deployment in a local KIND environment?▼

You can validate Kafka health locally by using td-kafka tools to verify topics and consumer groups, running python3 daemon/kpi_snapshot.py for KPI snapshots, and checking td_event_emitter metrics through the Datadog agent.

Do I need kubectl and kind installed to run local Kubernetes deployment validation?▼

Yes, you need kubectl and kind installed to run local Kubernetes deployment validation, along with docker, bd, gt, and optionally the datadog-agent CLI for full observability and health check coverage.

How does GitHub issue sync work with Kafka dispatchers for deployment automation?▼

GitHub issue sync works with Kafka dispatchers by running the github-issue-dispatcher shell script, initially setting GITHUB_DRY_RUN=true to test the bead flow, then switching to false for live deployment automation runs.

Can I validate Datadog dashboards and KPI metrics across local and KIND environments?▼

You can validate Datadog dashboards and KPI metrics across local and KIND environments by running python3 daemon/kpi_snapshot.py, verifying td_event_emitter metrics, and monitoring pods through the Datadog agent in both setups.

What is the best way to manage Kubernetes secrets for Datadog across multiple namespaces?▼

The best way to manage Kubernetes secrets for Datadog across multiple namespaces is creating a generic secret with your DD_API_KEY using kubectl, then piping the dry-run output to kubectl apply for both tundra-dome and datadog namespaces.

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