Stop Reading Raw JSON: Build an Enterprise Terraform Impact Dashboard
As a Lead DevOps Architect, I often deal with infrastructure plans that touch hundreds of resources. Sifting through a standard terraform plan terminal output to find a single critical "delete" is like looking for a needle in a haystack.
When you are managing complex infrastructure—like a technical cutover from Squid Proxy to Google Secure Web Proxy—the cognitive load is high. The risk of missing a "destroy" on a production database is a real threat to stability.
The Problem: The "Wall of Text"
Standard Terraform output is designed for logs, not for human auditing. In an enterprise environment, we face three main challenges:
- Risk Blindness: Critical resources (like RDS instances, S3 buckets, or IAM roles) look exactly like a minor tag update in the terminal.
- Scale Issues: Large plans (500+ changes) are impossible to review manually without missing something important.
- Stakeholder Gap: It is difficult to share a raw CLI output with a manager or security auditor for quick approval.
The Solution: An Automation-First Dashboard
I developed a Python-based Impact Analyser that transforms a plan.json into a high-fidelity, interactive HTML dashboard. This isn't just a formatter; it’s a risk-assessment engine.
1. The Workflow
The process is simple and integrates directly into any CI/CD pipeline:
- Generate the Plan:
terraform plan -out=main.tfplan - Convert to JSON:
terraform show -json main.tfplan > plan.json - Run the Analyser:
python3 tf_impact.py plan.json
2. Enterprise Features
- Risk-Level Heuristics: The script automatically flags changes as CRITICAL or HIGH if stateful resources (Databases, Storage, KMS Keys) are marked for deletion or replacement.
- Client-Side Filtering: Built with Tailwind CSS and vanilla JavaScript, the dashboard allows you to search 1,000+ resources instantly by address or module path.
- Standalone Portability: The output is a single HTML file. No database or server is required, making it perfect for CI/CD artifacts.
The Code: Python Risk Logic
Here is a snippet of how the risk assessment engine identifies dangerous operations before they hit production: we can always modify the risk engine with more critical type resources
class RiskAnalyzer:
"""Identifies dangerous changes based on resource sensitivity"""
CRITICAL_TYPES = {
'aws_db_instance', 'google_sql_database_instance',
'aws_s3_bucket', 'aws_iam_role', 'aws_kms_key'
}
@staticmethod
def assess(resource_type, actions):
is_delete = 'delete' in actions
is_replace = 'create' in actions and 'delete' in actions
if resource_type in RiskAnalyzer.CRITICAL_TYPES:
return "CRITICAL" if (is_delete or is_replace) else "HIGH"
if is_delete or is_replace:
return "HIGH"
return "LOW"
copy the script below
#!/usr/bin/env python3
"""
Enterprise Terraform Impact Analyser (v2.0)
High-performance, filter-enabled change detector for large-scale plans.
Provides a dynamic HTML dashboard with client-side filtering.
"""
import json
import argparse
import re
import logging
import sys
from typing import Dict, List, Any, Optional
from collections import defaultdict
from datetime import datetime
from dataclasses import dataclass, asdict
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
stream=sys.stderr
)
logger = logging.getLogger("TF-Impact")
@dataclass
class ResourceChange:
address: str
type: str
name: str
module: str
provider: str
actions: List[str]
risk_level: str
change_summary: str
class FilterEngine:
"""Enterprise filtering logic for large-scale infrastructure"""
def __init__(self, include_types=None, exclude_types=None,
modules=None, providers=None, address_regex=None):
self.include_types = set(include_types) if include_types else None
self.exclude_types = set(exclude_types) if exclude_types else None
self.modules = set(modules) if modules else None
self.providers = set(providers) if providers else None
self.address_pattern = re.compile(address_regex) if address_regex else None
def should_include(self, resource_addr: str, r_type: str,
module: str, provider: str) -> bool:
if self.include_types and r_type not in self.include_types: return False
if self.exclude_types and r_type in self.exclude_types: return False
if self.modules and not any(module.startswith(m) for m in self.modules): return False
if self.providers and provider not in self.providers: return False
if self.address_pattern and not self.address_pattern.search(resource_addr): return False
return True
class RiskAnalyzer:
"""Identifies dangerous changes based on resource sensitivity"""
CRITICAL_TYPES = {
'aws_db_instance', 'aws_rds_cluster', 'google_sql_database_instance',
'azurerm_postgresql_server', 'aws_s3_bucket', 'google_storage_bucket',
'aws_iam_role', 'aws_kms_key', 'kubernetes_namespace', 'aws_route53_zone'
}
@staticmethod
def assess(resource_type: str, actions: List[str]) -> str:
is_delete = 'delete' in actions
is_replace = 'create' in actions and 'delete' in actions
if resource_type in RiskAnalyzer.CRITICAL_TYPES:
return "CRITICAL" if (is_delete or is_replace) else "HIGH"
if is_delete or is_replace:
return "HIGH"
if 'update' in actions:
return "MEDIUM"
return "LOW"
class EnterpriseTFDetector:
def __init__(self, plan_file: str, filter_engine: FilterEngine):
self.plan_file = plan_file
self.filter_engine = filter_engine
self.risk_analyzer = RiskAnalyzer()
self.data = self._load_plan(plan_file)
def _load_plan(self, filepath: str) -> Dict:
try:
with open(filepath, 'r') as f:
return json.load(f)
except Exception as e:
logger.error(f"Failed to load plan file: {e}")
sys.exit(1)
def _detect_provider(self, resource_type: str) -> str:
parts = resource_type.split('_', 1)
return parts[0] if len(parts) > 1 else 'other'
def analyze(self) -> Dict[str, Any]:
logger.info(f"Analyzing {self.plan_file}...")
results = {
'metadata': {
'timestamp': datetime.now().isoformat(),
'tf_version': self.data.get('terraform_version', 'Unknown'),
'plan_id': self.data.get('format_version', 'N/A')
},
'changes': [],
'stats': defaultdict(int),
'risk_summary': defaultdict(int),
'by_module': defaultdict(lambda: defaultdict(int))
}
resource_changes = self.data.get('resource_changes', [])
for change in resource_changes:
addr = change.get('address')
r_type = change.get('type')
module = change.get('module_address', 'root')
provider = self._detect_provider(r_type)
actions = change.get('change', {}).get('actions', [])
if 'no-op' in actions or not actions or actions == ['read']:
continue
if not self.filter_engine.should_include(addr, r_type, module, provider):
continue
risk = self.risk_analyzer.assess(r_type, actions)
primary_action = "replace" if ('create' in actions and 'delete' in actions) else actions[0]
res_obj = ResourceChange(
address=addr,
type=r_type,
name=change.get('name'),
module=module,
provider=provider,
actions=actions,
risk_level=risk,
change_summary=" -> ".join(actions)
)
results['changes'].append(asdict(res_obj))
results['stats'][primary_action] += 1
results['risk_summary'][risk] += 1
results['by_module'][module][primary_action] += 1
return results
class EnterpriseVisualizer:
def __init__(self, analysis_results: Dict):
self.results = analysis_results
def generate_html(self, output_file: str):
"""Generates a standalone HTML dashboard with client-side filtering"""
json_data = json.dumps(self.results)
html_template = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>TF Impact Dashboard</title>
<script src="https://cdn.tailwindcss.com"></script>
<style>
.risk-CRITICAL {{ border-left: 5px solid #ef4444; background: rgba(239, 68, 68, 0.05); }}
.risk-HIGH {{ border-left: 5px solid #f97316; background: rgba(249, 115, 22, 0.05); }}
.risk-MEDIUM {{ border-left: 5px solid #f59e0b; }}
.risk-LOW {{ border-left: 5px solid #10b981; }}
</style>
</head>
<body class="bg-slate-900 text-slate-100 min-h-screen pb-20">
<div class="max-w-7xl mx-auto px-6 py-10">
<header class="flex justify-between items-center mb-10 border-b border-slate-700 pb-8">
<div>
<h1 class="text-4xl font-extrabold text-white tracking-tight">Terraform Impact Dashboard</h1>
<p class="text-slate-400 mt-2 font-medium">Enterprise Infrastructure Change Analysis</p>
</div>
<div class="text-right">
<div class="text-xs uppercase tracking-widest text-slate-500 font-bold">Report Generated</div>
<div class="text-slate-300 font-mono">{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}</div>
</div>
</header>
<div class="grid grid-cols-2 md:grid-cols-4 gap-6 mb-10">
<div class="bg-slate-800 p-6 rounded-2xl border border-slate-700 shadow-lg">
<div class="text-slate-500 text-xs font-bold uppercase mb-1">Create</div>
<div class="text-3xl font-bold text-emerald-500">{self.results['stats']['create']}</div>
</div>
<div class="bg-slate-800 p-6 rounded-2xl border border-slate-700 shadow-lg">
<div class="text-slate-500 text-xs font-bold uppercase mb-1">Update</div>
<div class="text-3xl font-bold text-amber-500">{self.results['stats']['update']}</div>
</div>
<div class="bg-slate-800 p-6 rounded-2xl border border-slate-700 shadow-lg">
<div class="text-slate-500 text-xs font-bold uppercase mb-1">Replace</div>
<div class="text-3xl font-bold text-violet-500">{self.results['stats']['replace']}</div>
</div>
<div class="bg-slate-800 p-6 rounded-2xl border border-slate-700 shadow-lg">
<div class="text-slate-500 text-xs font-bold uppercase mb-1">Delete</div>
<div class="text-3xl font-bold text-red-500">{self.results['stats']['delete']}</div>
</div>
</div>
<div class="bg-slate-800 p-8 rounded-2xl mb-10 border border-slate-700 shadow-2xl">
<h3 class="text-sm font-bold text-slate-400 uppercase tracking-widest mb-6">Interactive Filters</h3>
<div class="grid grid-cols-1 md:grid-cols-3 gap-8">
<div class="space-y-2">
<label class="text-xs font-bold text-slate-500 uppercase">Search Resources</label>
<input type="text" id="searchBox" placeholder="Search address, type, or module..."
class="w-full bg-slate-900 border-slate-700 border rounded-xl p-3 text-sm focus:ring-2 focus:ring-blue-500 outline-none transition-all">
</div>
<div class="space-y-2">
<label class="text-xs font-bold text-slate-500 uppercase">Risk Threshold</label>
<select id="riskFilter" class="w-full bg-slate-900 border-slate-700 border rounded-xl p-3 text-sm outline-none">
<option value="ALL">Show All Risks</option>
<option value="CRITICAL">Critical Only</option>
<option value="HIGH">High & Above</option>
</select>
</div>
<div class="space-y-2">
<label class="text-xs font-bold text-slate-500 uppercase">Filter Action</label>
<select id="actionFilter" class="w-full bg-slate-900 border-slate-700 border rounded-xl p-3 text-sm outline-none">
<option value="ALL">All Actions</option>
<option value="create">Create</option>
<option value="update">Update</option>
<option value="replace">Replace</option>
<option value="delete">Delete</option>
</select>
</div>
</div>
</div>
<div class="bg-slate-800 rounded-2xl border border-slate-700 overflow-hidden shadow-2xl">
<div id="resource-list" class="divide-y divide-slate-700">
</div>
</div>
</div>
<script>
const data = {json_data};
const listContainer = document.getElementById('resource-list');
function updateUI() {{
const searchTerm = document.getElementById('searchBox').value.toLowerCase();
const riskLevel = document.getElementById('riskFilter').value;
const actionType = document.getElementById('actionFilter').value;
const filtered = data.changes.filter(item => {{
const matchesSearch = item.address.toLowerCase().includes(searchTerm) ||
item.type.toLowerCase().includes(searchTerm);
const matchesRisk = riskLevel === 'ALL' ||
(riskLevel === 'HIGH' ? (item.risk_level === 'HIGH' || item.risk_level === 'CRITICAL') : item.risk_level === riskLevel);
const matchesAction = actionType === 'ALL' || item.actions.includes(actionType);
return matchesSearch && matchesRisk && matchesAction;
}});
if (filtered.length === 0) {{
listContainer.innerHTML = '<div class="p-20 text-center text-slate-500 font-medium">No resources match your filters</div>';
return;
}}
listContainer.innerHTML = filtered.map(item => `
<div class="p-6 hover:bg-slate-700/20 transition-all risk-${{item.risk_level}} flex flex-col md:flex-row justify-between items-start md:items-center gap-4">
<div class="flex-1">
<div class="flex items-center gap-3 mb-1">
<span class="text-xs font-mono font-bold text-slate-500 bg-slate-900 px-2 py-0.5 rounded border border-slate-700">${{item.type}}</span>
<span class="text-xs font-bold uppercase tracking-tighter ${{item.risk_level === 'CRITICAL' ? 'text-red-500' : (item.risk_level === 'HIGH' ? 'text-orange-500' : 'text-slate-400')}}">
${{item.risk_level}} RISK
</span>
</div>
<h4 class="text-blue-400 font-mono text-sm font-semibold mb-1 truncate"># ${{item.address}}</h4>
<div class="text-xs text-slate-500">Module Path: <span class="text-slate-400">${{item.module}}</span></div>
</div>
<div class="flex flex-col items-end gap-2">
<div class="flex gap-1">
${{item.actions.map(a => `
<span class="px-3 py-1 rounded-full text-[10px] font-black uppercase tracking-widest border
${{a === 'create' ? 'bg-emerald-500/10 text-emerald-500 border-emerald-500/20' :
a === 'delete' ? 'bg-red-500/10 text-red-500 border-red-500/20' :
'bg-blue-500/10 text-blue-400 border-blue-500/20'}}">
${{a}}
</span>
`).join('')}}
</div>
<div class="text-[10px] font-bold text-slate-600 uppercase tracking-widest">Provider: ${{item.provider}}</div>
</div>
</div>
`).join('');
}}
document.getElementById('searchBox').addEventListener('input', updateUI);
document.getElementById('riskFilter').addEventListener('change', updateUI);
document.getElementById('actionFilter').addEventListener('change', updateUI);
// Initial render
updateUI();
</script>
</body>
</html>
"""
with open(output_file, 'w') as f:
f.write(html_template)
print(f"Dashboard generated: {output_file}")
def main():
parser = argparse.ArgumentParser(description='Enterprise TF Impact Dashboard Generator')
parser.add_argument('plan', help='Terraform plan JSON file')
parser.add_argument('--output', default='tf_report.html', help='Output HTML filename')
parser.add_argument('--provider', nargs='+', help='Initial filter by provider')
parser.add_argument('--module', nargs='+', help='Initial filter by module prefix')
args = parser.parse_args()
# Pre-filtering engine (CLI level)
engine = FilterEngine(providers=args.provider, modules=args.module)
detector = EnterpriseTFDetector(args.plan, engine)
results = detector.analyze()
visualizer = EnterpriseVisualizer(results)
visualizer.generate_html(args.output)
print("\nSummary:")
print(f" - Total Changes detected: {sum(results['stats'].values())}")
print(f" - Critical Risks: {results['risk_summary']['CRITICAL']}")
print(f" - High Risks: {results['risk_summary']['HIGH']}")
if __name__ == "__main__":
main()