Just built an internal 'compliance wiki' that pulls live data from the Tugboat API.

Hey folks, I've been deep in the weeds of our compliance automation setup and just had to share this recent project! 🙌

We've been using Tugboat Logic as our source of truth for audit evidence and control mapping, but our teams kept asking the same questions: "What's the status of control X?" or "When was evidence Y last updated?" Flipping between Tugboat and our internal docs was creating friction. So, I decided to bridge the gap by building an internal **'Compliance Wiki'** that pulls *live data* directly from the Tugboat API and surfaces it in a simple, searchable internal site. It's essentially a read-only, friendly facade over the raw compliance data.

The core idea was to use the Tugboat GraphQL API to fetch data on-demand and cache it in a small backend service. I containerized the service and deployed it in our Kubernetes cluster. The frontend is a basic React app, but the magic is in the service that orchestrates the API calls. Here's a simplified snippet of the Kubernetes Deployment for the sync service:

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: compliance-wiki-sync
spec:
replicas: 2
selector:
matchLabels:
app: compliance-wiki-sync
template:
metadata:
labels:
app: compliance-wiki-sync
spec:
containers:
- name: sync-service
image: our-registry/compliance-sync:1.2.0
env:
- name: TUGBOAT_API_KEY
valueFrom:
secretKeyRef:
name: tugboat-api-secrets
key: apiKey
- name: GRAPHQL_ENDPOINT
value: "https://api.tugboatlogic.com/graphql"
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
```

The sync service queries for key data points like:
* Control status (e.g., `Implemented`, `Planned`, `Not Applicable`)
* Last updated timestamps for evidence items
* Mapping of controls to framework requirements (SOC2, ISO27001, etc.)
* Open action items and their due dates

This data is then transformed and served to the wiki frontend via a simple REST endpoint. We used Helm to manage the deployment of the whole stack (frontend, sync service, and a Redis cache for rate-limiting and temporary data) to make it repeatable across our dev and staging clusters.

Some interesting challenges and learnings:
* The Tugboat GraphQL API is quite powerful, but you need to be mindful of query complexity to avoid timeouts. We had to break some initial monolithic queries into smaller, concurrent ones.
* Rate limiting is a real consideration. We implemented exponential backoff in our sync service client.
* We're now exploring whether to use GitOps (maybe ArgoCD) to manage the configuration of this wiki, storing the Helm chart values and any data transformation mappings in a Git repo. This would let us track changes to the wiki's data schema over time.

Has anyone else tried something similar? I'm particularly curious about:
* How you might handle data refresh schedules—we're currently polling every 4 hours, but I'm wondering about using webhooks if Tugboat supports them for data change events.
* Whether you've found other valuable data points in the API to surface for engineering or security teams.
* Any clever caching strategies to keep the data snappy without hitting API limits.

Building this has been a fantastic way to make our compliance posture more transparent and accessible across the company. It turns static policy documents into a living dashboard.