n8n for SpaceTech SaaS: 5 Automations That Scale Satellite Ops and Keep Space Data Compliant (Free Workflow JSON)
If you build satellite data platforms, launch operations software, space situational awareness (SSA) tools, or ground station management SaaS, you already know the compliance stack is brutal: ITAR 22 CFR §120–130, EAR/BIS export controls, CMMC Level 2/3 for DoD contracts, FedRAMP ATO pipelines, and classification boundary rules that make HIPAA look relaxed.
And yet most SpaceTech SaaS teams are routing mission-critical workflows through Zapier or Make.com — cloud automation platforms that push your technical data through EU and multi-region edge nodes. For ITAR-controlled data, that routing can constitute an unauthorized export before you even realize it.
Here are 5 n8n workflows built specifically for SpaceTech SaaS vendors. All run inside your own VPC — no data leaves your infrastructure. Full workflow JSON included.
Why SpaceTech SaaS Needs Self-Hosted Automation
Before the workflows: the compliance argument for n8n over Zapier in the space sector.
ITAR 22 CFR §120–130 — Technical Data Routing
The International Traffic in Arms Regulations prohibit exporting defense-related technical data to foreign nationals or through foreign-controlled infrastructure. Zapier routes workflow payloads through its global edge network, which includes nodes outside the US. If your workflow touches satellite telemetry, mission parameters, or propulsion specs, that routing may constitute an unauthorized ITAR export. n8n self-hosted keeps all data in your US-region VPC.
CMMC Level 2/3 — FCI and CUI Handling
DoD space contracts under DFARS 252.204-7012 require that Federal Contract Information (FCI) and Controlled Unclassified Information (CUI) only traverse CMMC-assessed systems. Zapier and Make.com are not CMMC-assessed. n8n self-hosted on a GovCloud-adjacent VPC can be scoped into your CMMC System Security Plan.
FedRAMP ATO Pipeline
Ground system software touching US Government missions increasingly requires FedRAMP authorization. Third-party automation platforms that touch your data expand your authorization boundary and compliance burden. n8n stays inside your boundary.
Cost at Scale
A single satellite generates thousands of telemetry points per day. At 2 million tasks/month, Zapier costs $2,400+/month. n8n on a $30 VPS handles the same load.
Workflow 1: New Space Program Client Onboarding Drip
Problem: Manual onboarding for new satellite operators, launch vehicle customers, or government program offices wastes CSM time and creates audit gaps in your ITAR-controlled customer record.
The workflow:
{
"nodes": [
{
"name": "New Customer Trigger",
"type": "n8n-nodes-base.googleSheetsTrigger",
"parameters": {
"sheetId": "YOUR_SHEET_ID",
"event": "rowAdded"
}
},
{
"name": "Classify Program Tier",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const row = $input.first().json; const arr = row.contract_value || 0; let tier = arr >= 10000000 ? 'TIER_1_PRIME_CONTRACTOR' : arr >= 1000000 ? 'TIER_2_COMMERCIAL_OPERATOR' : arr >= 100000 ? 'TIER_3_STARTUP_NEWSPACE' : 'TIER_4_ACADEMIC_RESEARCH'; return [{ json: { ...row, tier, onboarding_start: new Date().toISOString() } }];"
}
},
{
"name": "Day 0 Welcome Email",
"type": "n8n-nodes-base.gmail",
"parameters": {
"operation": "send",
"toList": "={{ $json.poc_email }}",
"subject": "Welcome to {{ $json.product_name }} — Your Mission Integration Starts Now",
"message": "Hi {{ $json.poc_name }},\n\nYour {{ $json.tier }} onboarding package is ready. Your dedicated mission integration engineer will reach out within 4 hours.\n\nPortal: https://app.yourplatform.com/onboarding/{{ $json.customer_id }}"
}
},
{
"name": "Slack CSM Alert",
"type": "n8n-nodes-base.slack",
"parameters": {
"channel": "#mission-integration",
"text": "New {{ $json.tier }} customer: {{ $json.company_name }}. Contract: ${{ $json.contract_value?.toLocaleString() }}. POC: {{ $json.poc_email }}."
}
},
{
"name": "ITAR Audit Log",
"type": "n8n-nodes-base.googleSheets",
"parameters": {
"operation": "append",
"sheetId": "YOUR_ITAR_AUDIT_SHEET",
"columns": {
"mappingMode": "defineBelow",
"values": {
"timestamp": "={{ new Date().toISOString() }}",
"customer_id": "={{ $json.customer_id }}",
"tier": "={{ $json.tier }}",
"itar_classification": "={{ $json.itar_classification }}",
"action": "CUSTOMER_ONBOARDED"
}
}
}
}
]
}
Add Wait nodes at +3 days (integration check-in email) and +7 days (first telemetry review). The Sheets ITAR audit log gives you the traceable customer record required for export license applications.
Workflow 2: Ground Station API & Telemetry Health Monitor
Problem: Ground station pass windows are narrow — 8 to 15 minutes for LEO satellites. An API outage during a pass window means lost telemetry, missed command uplinks, and potentially a satellite in an uncontrolled state.
The workflow:
{
"nodes": [
{
"name": "Every 3 Minutes",
"type": "n8n-nodes-base.scheduleTrigger",
"parameters": { "rule": { "interval": [{ "field": "minutes", "minutesInterval": 3 }] } }
},
{
"name": "Load Endpoint Registry",
"type": "n8n-nodes-base.googleSheets",
"parameters": {
"operation": "getAll",
"sheetId": "YOUR_ENDPOINTS_SHEET"
}
},
{
"name": "Ping Each Endpoint",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"url": "={{ $json.health_url }}",
"timeout": 5000,
"continueOnFail": true
}
},
{
"name": "Classify Status",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const results = $input.all(); return results.map(item => { const r = item.json; const lastData = r.last_telemetry_ts ? (Date.now() - new Date(r.last_telemetry_ts).getTime()) / 60000 : 0; let status = r.error ? 'DOWN' : lastData > 15 ? 'STALE_DATA' : r.statusCode !== 200 ? 'DEGRADED' : 'OK'; return { json: { ...r, status, lastData_min: Math.round(lastData) } }; });"
}
},
{
"name": "Dedup & Alert",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const store = $getWorkflowStaticData('global'); const now = Date.now(); const alerts = $input.all().filter(i => { if (i.json.status === 'OK') return false; const key = i.json.endpoint_id; const last = store[key] || 0; if (now - last < 1800000) return false; store[key] = now; return true; }); return alerts.length ? alerts : [{ json: { skip: true } }];"
}
},
{
"name": "Mission Ops Slack",
"type": "n8n-nodes-base.slack",
"parameters": {
"channel": "#mission-ops",
"text": "GROUND STATION ALERT [{{ $json.status }}] {{ $json.endpoint_name }} ({{ $json.mission_id }}) — {{ $json.status === 'STALE_DATA' ? $json.lastData_min + 'min since last telemetry' : 'no response' }}. Next pass window: {{ $json.next_pass_utc }}."
}
}
]
}
The 30-minute dedup window prevents Slack flooding during extended outages. Track mission_id and next_pass_utc in your endpoint registry so alerts include operational context — not just "endpoint X is down."
Workflow 3: ITAR/EAR Export Control & Licensing Deadline Tracker
Problem: ITAR Technical Assistance Agreements (TAAs), Manufacturing License Agreements (MLAs), and EAR BIS licenses all have expiration and renewal deadlines. A lapsed license means your product goes dark for affected customers — with potential criminal liability for your company.
The workflow:
{
"nodes": [
{
"name": "Weekdays 8 AM",
"type": "n8n-nodes-base.scheduleTrigger",
"parameters": {
"rule": { "interval": [{ "field": "cronExpression", "expression": "0 8 * * 1-5" }] }
}
},
{
"name": "Load Compliance Calendar",
"type": "n8n-nodes-base.googleSheets",
"parameters": { "operation": "getAll", "sheetId": "YOUR_COMPLIANCE_SHEET" }
},
{
"name": "Classify Urgency",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const rows = $input.all(); const now = new Date(); return rows.map(item => { const r = item.json; const due = new Date(r.deadline); const days = Math.round((due - now) / 86400000); const actionMap = { ITAR_LICENSE_TAA: 'ITAR/State Dept: file DS-4076 renewal 90d ahead', ITAR_MLA: 'ITAR/State Dept: MLA amendment if scope changed', EAR_BIS_LICENSE: 'EAR/BIS: file BIS-748P renewal', FIPS_140_3: 'FIPS 140-3 validation renewal with CMVP lab', CMMC_ASSESSMENT: 'Schedule CMMC C3PAO assessment', FEDRAMP_ATO: 'FedRAMP: schedule 3PAO assessment for ATO renewal', SOC2: 'Schedule SOC 2 Type II audit window', ISO_27001: 'Schedule ISO 27001 surveillance audit' }; let urgency = days < 0 ? 'OVERDUE' : days <= 7 ? 'CRITICAL' : days <= 14 ? 'URGENT' : days <= 30 ? 'WARNING' : days <= 60 ? 'NOTICE' : null; return urgency ? [{ json: { ...r, urgency, days_until_due: days, action: actionMap[r.control_type] || 'Review compliance requirement' } }] : []; }).flat();"
}
},
{
"name": "Route by Urgency",
"type": "n8n-nodes-base.switch",
"parameters": {
"dataType": "string",
"value1": "={{ $json.urgency }}",
"rules": {
"rules": [
{ "value2": "OVERDUE", "output": 0 },
{ "value2": "CRITICAL", "output": 1 },
{ "value2": "URGENT", "output": 2 },
{ "value2": "WARNING", "output": 3 }
]
}
}
},
{
"name": "Slack @here OVERDUE",
"type": "n8n-nodes-base.slack",
"parameters": {
"channel": "#legal-compliance",
"text": "<!here> OVERDUE COMPLIANCE ITEM [{{ $json.control_type }}]: {{ $json.requirement_name }} was due {{ Math.abs($json.days_until_due) }} days ago. Action: {{ $json.action }}. Owner: {{ $json.owner_email }}."
}
},
{
"name": "Email Owner OVERDUE",
"type": "n8n-nodes-base.gmail",
"parameters": {
"operation": "send",
"toList": "={{ $json.owner_email }}",
"subject": "OVERDUE: {{ $json.requirement_name }} — Immediate Action Required",
"message": "{{ $json.requirement_name }} is OVERDUE by {{ Math.abs($json.days_until_due) }} days.\n\nRequired action: {{ $json.action }}\n\nThis is a legal compliance deadline. Please escalate immediately."
}
}
]
}
Add rows for: ITAR_LICENSE_TAA, ITAR_MLA, EAR_BIS_LICENSE, FIPS_140_3, CMMC_ASSESSMENT, FEDRAMP_ATO, SOC2, ISO_27001. The Switch node routes OVERDUE items to both Slack @here and direct owner email — double-redundancy for anything that can trigger a State Department enforcement action.
Workflow 4: Launch & Spacecraft Anomaly Alert Pipeline
Problem: Launch operations SaaS and spacecraft health monitoring platforms need sub-minute anomaly classification and escalation. A "loss of contact" during a critical maneuver is categorically different from a non-critical telemetry gap — your alert pipeline needs to know the difference.
The workflow:
{
"nodes": [
{
"name": "Anomaly Webhook",
"type": "n8n-nodes-base.webhook",
"parameters": {
"path": "spacecraft-anomaly",
"responseMode": "lastNode",
"httpMethod": "POST"
}
},
{
"name": "Classify Anomaly Severity",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const ev = $input.first().json; const sevMap = { LOSS_OF_SIGNAL: 'MISSION_CRITICAL', SAFE_HOLD_ENTRY: 'MISSION_CRITICAL', LAUNCH_ABORT: 'MISSION_CRITICAL', ATTITUDE_ANOMALY: 'MISSION_CRITICAL', PROPULSION_ANOMALY: 'MISSION_CRITICAL', POWER_SYSTEM_FAULT: 'MISSION_CRITICAL', GROUND_STATION_DROPOUT: 'SAFE_HOLD', TELEMETRY_GAP_15MIN: 'MANEUVER_REQUIRED', SUBSYSTEM_DEGRADED: 'NON_CRITICAL', LINK_MARGIN_WARNING: 'NON_CRITICAL' }; const sev = sevMap[ev.anomaly_type] || 'NON_CRITICAL'; return [{ json: { ...ev, severity: sev, classified_at: new Date().toISOString() } }];"
}
},
{
"name": "Route Critical vs Non-Critical",
"type": "n8n-nodes-base.if",
"parameters": {
"conditions": {
"string": [{ "value1": "={{ $json.severity }}", "value2": "NON_CRITICAL", "operation": "notEqual" }]
}
}
},
{
"name": "Mission Emergency Slack",
"type": "n8n-nodes-base.slack",
"parameters": {
"channel": "#mission-emergency",
"text": "<!channel> SPACECRAFT ANOMALY [{{ $json.severity }}] Mission: {{ $json.mission_id }} | Spacecraft: {{ $json.spacecraft_name }} | Type: {{ $json.anomaly_type }} | UTC: {{ $json.event_utc }}. MOC duty officer: acknowledge within 2 minutes."
}
},
{
"name": "ITAR Audit Log to Postgres",
"type": "n8n-nodes-base.postgres",
"parameters": {
"operation": "executeQuery",
"query": "INSERT INTO spacecraft_anomalies (mission_id, spacecraft_name, anomaly_type, severity, event_utc, classified_at, data_classification) VALUES ('{{ $json.mission_id }}', '{{ $json.spacecraft_name }}', '{{ $json.anomaly_type }}', '{{ $json.severity }}', '{{ $json.event_utc }}', '{{ $json.classified_at }}', '{{ $json.data_classification || 'CUI' }}') ON CONFLICT (mission_id, event_utc, anomaly_type) DO NOTHING"
}
},
{
"name": "ACK 200",
"type": "n8n-nodes-base.respondToWebhook",
"parameters": {
"respondWith": "json",
"responseBody": "{ "status": "received", "severity": "{{ $json.severity }}" }"
}
}
]
}
The Postgres ON CONFLICT DO NOTHING prevents duplicate anomaly records if your spacecraft sends repeated anomaly events. The data_classification field (default CUI) is written at ingest — critical for CMMC boundary documentation.
Workflow 5: Weekly SpaceTech Platform KPI Dashboard
Problem: Your CEO wants to know mission success rate, customer churn risk, and platform health every Monday — but pulling this from multiple Postgres tables manually takes an hour.
The workflow:
{
"nodes": [
{
"name": "Monday 8 AM",
"type": "n8n-nodes-base.scheduleTrigger",
"parameters": {
"rule": { "interval": [{ "field": "cronExpression", "expression": "0 8 * * 1" }] }
}
},
{
"name": "Fetch Platform Metrics",
"type": "n8n-nodes-base.postgres",
"parameters": {
"operation": "executeQuery",
"query": "SELECT COUNT(DISTINCT customer_id) AS active_missions, SUM(CASE WHEN status='NOMINAL' THEN 1 ELSE 0 END) AS nominal_count, SUM(CASE WHEN status IN ('SAFE_HOLD','ANOMALY') THEN 1 ELSE 0 END) AS anomaly_count, AVG(link_margin_db) AS avg_link_margin, COUNT(DISTINCT CASE WHEN last_contact > NOW() - INTERVAL '7 days' THEN mission_id END) AS active_7d FROM mission_health WHERE week = DATE_TRUNC('week', NOW())"
}
},
{
"name": "Fetch Account Health",
"type": "n8n-nodes-base.postgres",
"parameters": {
"operation": "executeQuery",
"query": "SELECT COUNT(*) AS total_customers, SUM(arr) AS total_arr, COUNT(CASE WHEN health_score < 60 THEN 1 END) AS churn_risk_count, SUM(CASE WHEN health_score < 60 THEN arr ELSE 0 END) AS churn_risk_arr FROM customers WHERE active = true"
}
},
{
"name": "Build KPI HTML",
"type": "n8n-nodes-base.code",
"parameters": {
"jsCode": "const p = $node['Fetch Platform Metrics'].json; const a = $node['Fetch Account Health'].json; const store = $getWorkflowStaticData('global'); const prev = store.last_kpi || {}; const pct = (v, p2) => p2 ? ((v - p2) / p2 * 100).toFixed(1) + '%' : 'N/A'; const html = '<h2>SpaceTech Platform Weekly KPI</h2><table border=1 cellpadding=6><tr><th>Metric</th><th>This Week</th><th>WoW</th></tr>' + '<tr><td>Active Missions</td><td>' + p.active_missions + '</td><td>' + pct(p.active_missions, prev.active_missions) + '</td></tr>' + '<tr><td>Nominal (%)</td><td>' + (p.active_missions ? (p.nominal_count/p.active_missions*100).toFixed(1) + '%' : 'N/A') + '</td><td>-</td></tr>' + '<tr><td>Total Customers</td><td>' + a.total_customers + '</td><td>' + pct(a.total_customers, prev.total_customers) + '</td></tr>' + '<tr><td>Total ARR</td><td>$' + Number(a.total_arr).toLocaleString() + '</td><td>' + pct(a.total_arr, prev.total_arr) + '</td></tr>' + '<tr><td>Churn Risk ARR</td><td>$' + Number(a.churn_risk_arr).toLocaleString() + '</td><td>-</td></tr></table>'; store.last_kpi = { active_missions: p.active_missions, total_customers: a.total_customers, total_arr: a.total_arr }; return [{ json: { html, subject: 'SpaceTech KPI Week of ' + new Date().toISOString().slice(0,10) } }];"
}
},
{
"name": "Email CEO + BCC Execs",
"type": "n8n-nodes-base.gmail",
"parameters": {
"operation": "send",
"toList": "ceo@yourcompany.com",
"bccList": "cto@yourcompany.com, vp-mission-ops@yourcompany.com, vp-sales@yourcompany.com",
"subject": "={{ $json.subject }}",
"message": "={{ $json.html }}",
"emailType": "html"
}
},
{
"name": "Slack Exec Channel",
"type": "n8n-nodes-base.slack",
"parameters": {
"channel": "#exec-kpis",
"text": "Weekly KPI posted. Active missions: {{ $node['Fetch Platform Metrics'].json.active_missions }}. Total ARR: ${{ Number($node['Fetch Account Health'].json.total_arr).toLocaleString() }}. Churn risk ARR: ${{ Number($node['Fetch Account Health'].json.churn_risk_arr).toLocaleString() }}."
}
}
]
}
$getWorkflowStaticData('global') persists the previous week's metrics so WoW deltas auto-calculate without a separate historical table. Run two Postgres queries in parallel to halve execution time.
Implementation Notes for SpaceTech SaaS
ITAR Data Routing: Deploy n8n on AWS GovCloud (us-gov-west-1 or us-gov-east-1) or an Azure Government region to keep all automation data in US-only infrastructure. Configure n8n with N8N_LOG_LEVEL=warn and disable external telemetry (N8N_DIAGNOSTICS_ENABLED=false) to minimize data egress.
CMMC Boundary: Document n8n in your System Security Plan as an internal tool. Since it runs inside your boundary with no SaaS routing, it does not expand your CMMC authorization boundary the way Zapier would.
Telemetry Volume: For high-frequency telemetry (1 Hz+), use the n8n Queue Mode with a Redis broker and multiple worker instances. This handles millions of events per day without memory pressure.
Credential Management: Store all API keys and database credentials in n8n's built-in credential vault (AES-256 encrypted at rest). Never pass credentials through workflow JSON.
Get All 15 Workflows Pre-Built
These 5 workflows are part of a larger library of 15 production-ready n8n automation templates at stripeai.gumroad.com.
Each template includes:
- Complete importable workflow JSON
- Field-by-field configuration guide
- Compliance notes (ITAR, CMMC, FedRAMP, SOC 2)
- Tested against n8n 1.x
Browse the full catalog: stripeai.gumroad.com
Have you built n8n automations for satellite ops, launch operations, or ground system SaaS? Share your use cases in the comments — I'd love to see what the community is building.
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