One-Click Installation Readiness Assessment

CODITECT Cloud Infrastructure

Date: November 23, 2025 Repository: coditect-cloud-infra Purpose: License Management System Infrastructure Target: Automated one-click installation capability

Executive Summary

Current Installation Complexity Score: 4/10 (Moderate - Requires 15-20 manual steps)

Key Findings:

Infrastructure modules are production-ready with good defaults
Manual steps required: GCP authentication, project setup, credential management, OpenTofu initialization
No Helm charts exist (Kubernetes manifests are skeletal)
No application deployment automation
Secrets must be manually populated
Missing: Prerequisites validation, rollback mechanisms, health checks

Estimated Engineering Effort to One-Click: 120-160 hours (3-4 weeks, 1 engineer)

Recommendation: FEASIBLE - Infrastructure foundation is solid, needs orchestration layer and Helm packaging

1. Current Installation Complexity Analysis

1.1 Manual Steps Breakdown (from README.md)

The current installation requires 15 distinct manual steps:

Phase 1: Prerequisites Setup (5 steps)

Step 1: Install Google Cloud SDK

Location: Manual download/install
User Input: OS-specific installation
Automation: Partially automated via /Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/install-tools.sh

Step 2: Install OpenTofu 1.6.7+

Location: Manual download/install
User Input: Version selection
Automation: Script exists at /Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/install-tools.sh

Step 3: Install kubectl 1.28+

Location: Manual download/install
User Input: Version selection
Automation: Script exists at /Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/install-tools.sh

Step 4: Install Python 3.11+

Location: Manual download/install
User Input: Version selection
Automation: OS-dependent

Step 5: Install Docker (optional)

Location: Manual download/install
User Input: Docker Desktop installation
Automation: Not automated (requires GUI)

Phase 2: GCP Authentication (3 steps)

Step 6: Authenticate with GCP

gcloud auth application-default login

User Input: Google account credentials (OAuth browser flow)
Hard-coded Values: None
Automation: Interactive only

Step 7: Set GCP project

gcloud config set project coditect-citus-prod

User Input: Project ID (coditect-citus-prod hard-coded)
Hard-coded Values: YES - Project ID in README
Parameterization Needed: Project ID should be configurable

Step 8: Create GCP project (if needed)

Location: /Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/gcp-setup.sh
User Input: Environment selection (dev/staging/production)
Automation: GOOD - Script exists

Phase 3: Infrastructure Provisioning (4 steps)

Step 9: Initialize OpenTofu

cd opentofu/environments/dev
tofu init

User Input: None (if backend configured)
Hard-coded Values: Environment path
Automation: Partially - Backend creation script exists

Step 10: Review infrastructure plan

tofu plan

User Input: Manual review required
Hard-coded Values: None
Automation: Manual review necessary (best practice)

Step 11: Apply infrastructure

tofu apply

User Input: Confirmation prompt (yes)
Hard-coded Values: None
Automation: Could use -auto-approve (risky)

Step 12: Configure kubectl

gcloud container clusters get-credentials coditect-dev \
  --region us-central1 \
  --project coditect-citus-prod

User Input: Cluster name, region, project
Hard-coded Values: YES - All three values
Parameterization Needed: Cluster name, region, project ID

Phase 4: Verification (3 steps)

Step 13: Verify nodes

kubectl get nodes

User Input: None
Automation: Could be automated

Step 14: Verify pods

kubectl get pods -A

User Input: None
Automation: Could be automated

Step 15: Populate secrets manually

gcloud secrets versions add SECRET_NAME --data-file=VALUE_FILE

User Input: CRITICAL - All secret values must be provided
Hard-coded Values: None (intentionally manual for security)
Automation: BLOCKER - No automated secret population

1.2 Hard-Coded Values Requiring Parameterization

Location	Value	Type	Fix Required
`README.md:93`	`coditect-citus-prod`	Project ID	Use environment variable
`README.md:104-106`	`coditect-dev`	Cluster name	Use variable
`README.md:105`	`us-central1`	Region	Use variable
`.env.example:28`	`coditect-dev`	Project ID	Already parameterized
`.env.example:29`	`us-central1`	Region	Already parameterized
`opentofu/backend/create-backends.sh:9`	`coditect-citus-prod`	Project ID	BLOCKER - Hard-coded
`opentofu/environments/dev/main.tf:5-9`	Multiple locals	Naming pattern	Good (uses variables)

Count: 7 hard-coded values across documentation and scripts

1.3 Dependencies Requiring Pre-Installation

Required Dependencies:

gcloud CLI - Google Cloud SDK
- Version: Latest (script installs)
- Source: https://cloud.google.com/sdk/docs/install
- Automation: ✅ scripts/install-tools.sh
OpenTofu - Infrastructure provisioning
- Version: >= 1.5.0 (enforced in all modules)
- Source: https://opentofu.org/docs/install
- Automation: ✅ scripts/install-tools.sh
kubectl - Kubernetes CLI
- Version: >= 1.28.0
- Source: Installed via gcloud components
- Automation: ✅ scripts/install-tools.sh
Python 3.11+ - Scripting and automation
- Version: >= 3.10.0
- Source: OS package manager
- Automation: ⚠️ OS-dependent
Docker (optional) - Local testing
- Version: Latest
- Source: Docker Desktop
- Automation: ❌ Manual GUI installation

Optional Dependencies:

Helm 3+ - Kubernetes package manager (not currently used)
pre-commit - Git hooks for validation
poetry - Python dependency management

Missing Checks:

No prerequisite version validation script (exists but not integrated)
No automated retry for dependency installation failures
No OS compatibility check (macOS vs Linux vs Windows)

2. OpenTofu Module Maturity Assessment

2.1 Module Overview

Module	Purpose	Defaults Quality	Required Vars	Optional Vars	Validation
networking	VPC, subnets, NAT	⭐⭐⭐⭐⭐ Excellent	3	19	✅ Comprehensive
gke	Kubernetes cluster	⭐⭐⭐⭐⭐ Excellent	4	18	✅ Comprehensive
cloudsql	PostgreSQL database	⭐⭐⭐⭐⭐ Excellent	3	25	✅ Comprehensive
redis	Memorystore cache	⭐⭐⭐⭐⭐ Excellent	2	15	✅ Comprehensive
firewall	Network security	⭐⭐⭐⭐ Good	2	1	✅ Basic
secrets	Secret Manager	⭐⭐⭐ Fair	2	5	✅ Basic

Overall Module Quality: ⭐⭐⭐⭐⭐ Production-Ready (5/5)

2.2 Sensible Defaults Analysis

networking module (`opentofu/modules/networking/variables.tf`)

Excellent defaults:

network_name: "coditect-vpc" (sensible)
routing_mode: "REGIONAL" (cost-effective)
primary_subnet_cidr: "10.0.0.0/20" (4,096 IPs - adequate)
pods_secondary_cidr: "10.4.0.0/14" (262,144 IPs - generous for GKE)
services_secondary_cidr: "10.8.0.0/20" (4,096 IPs - adequate)
flow_logs_sampling: 0.5 (50% - balanced cost/visibility)
enable_nat_logging: true (good for debugging)

Required inputs: project_id, environment, region

Safe to re-run: ✅ Yes - Idempotent (OpenTofu manages state)

gke module (`opentofu/modules/gke/variables.tf`)

Excellent defaults:

cluster_name: "coditect-citus" (sensible)
machine_type: "n1-standard-4" (4 vCPU, 15GB RAM - production-grade)
min_node_count: 3 (HA requirement met)
max_node_count: 20 (auto-scaling headroom)
disk_size_gb: 100 (adequate for containers)
release_channel: "STABLE" (production-ready)
enable_binary_authorization: true (security best practice)
enable_managed_prometheus: true (observability built-in)

Dev environment overrides:

machine_type: "n1-standard-2" (cost-optimized)
min_node_count: 1 (reduced for dev)
use_preemptible_nodes: true (80% cost savings)

Required inputs: project_id, environment, network_name, subnet_name, node_service_account

Safe to re-run: ✅ Yes - Node pool updates use blue/green deployment (max_surge, max_unavailable)

cloudsql module (`opentofu/modules/cloudsql/variables.tf`)

Excellent defaults:

database_version: "POSTGRES_16" (latest stable)
tier: "db-custom-4-16384" (4 vCPU, 16GB RAM - production-grade)
availability_type: "REGIONAL" (HA by default)
disk_size_gb: 100 (adequate starting size)
deletion_protection: true (safety net)
enable_point_in_time_recovery: true (disaster recovery)
backup_retention_count: 7 (1 week retention)
max_connections: "200" (reasonable for 16GB RAM)
shared_buffers: "4096MB" (25% of RAM - PostgreSQL best practice)

Dev environment overrides:

tier: "db-custom-2-8192" (2 vCPU, 8GB RAM - cost-optimized)
availability_type: "ZONAL" (single-zone for dev)
deletion_protection: false (easier cleanup)

Required inputs: project_id, environment, private_network, app_user_password, readonly_user_password

Validation: ✅ Strong - Regex for database version, range checks for disk size, enum validation for availability

Safe to re-run: ✅ Yes - Cloud SQL updates are applied during maintenance window

redis module (`opentofu/modules/redis/variables.tf`)

Excellent defaults:

tier: "STANDARD_HA" (high availability)
memory_size_gb: 5 (adequate for session caching)
redis_version: "REDIS_7_2" (latest stable)
auth_enabled: true (security best practice)
transit_encryption_mode: "SERVER_AUTHENTICATION" (TLS enabled)
maxmemory_policy: "allkeys-lru" (sensible eviction policy)
maintenance_window_day: "SUNDAY" (low-traffic day)

Dev environment overrides:

tier: "BASIC" (single-node, no HA)
memory_size_gb: 1 (cost-optimized)

Required inputs: project_id, environment, authorized_network

Safe to re-run: ✅ Yes - Redis updates applied during maintenance window

secrets module (`opentofu/modules/secrets/variables.tf`)

Fair defaults:

Default secrets defined in main.tf:
- database-password
- redis-auth-token
- django-secret-key
- stripe-api-key
- jwt-secret-key
rotation_period: Not enforced by default (should be)

Required inputs: project_id, environment

Gap: Secret values not populated automatically (intentional security design)

Safe to re-run: ✅ Yes - Secrets module only creates secret containers, not versions

2.3 Variable Validation Summary

All modules have comprehensive validation:

✅ Project ID validation: Regex pattern enforces GCP naming rules ✅ Environment validation: Enum check (dev, staging, production only) ✅ CIDR validation: Prefix length checks ✅ Version validation: Regex for database/Redis versions ✅ Range validation: Disk size, memory size, node counts ✅ Enum validation: Tier types, availability modes, routing modes

No modules lack validation - High quality IaC code.

2.4 Idempotency Assessment

Module	Idempotent	Safe Re-run	Notes
networking	✅	✅	State-managed, no destructive changes
gke	✅	✅	Blue/green node pool updates
cloudsql	✅	⚠️	Safe but slow (maintenance window applies)
redis	✅	⚠️	Safe but slow (maintenance window applies)
firewall	✅	✅	Rule updates are instant
secrets	✅	✅	Only creates containers, not versions

Overall: ✅ Safe to re-run tofu apply multiple times

3. Kubernetes Readiness Analysis

3.1 Existing Manifests Inventory

Base manifests (kubernetes/base/):

File	Purpose	Completeness	Application-Specific
`namespaces.yaml`	Namespace definitions	✅ Complete	❌ Generic (3 envs)
`rbac.yaml`	RBAC roles/bindings	⚠️ Skeletal	❌ Generic
`network-policies.yaml`	Network segmentation	⚠️ Skeletal	❌ Generic
`resource-quotas.yaml`	Resource limits per namespace	⚠️ Skeletal	❌ Generic
`limit-ranges.yaml`	Default container limits	⚠️ Skeletal	❌ Generic
`kustomization.yaml`	Kustomize base config	✅ Complete	❌ Generic

Application manifests: ❌ MISSING - No Deployment, Service, Ingress, ConfigMap for actual application

3.2 Missing Kubernetes Components

Critical Blockers:

No Deployment manifest - No FastAPI backend deployment
No Service manifest - No LoadBalancer/ClusterIP for API
No Ingress manifest - No external access configuration
No ConfigMap - No application configuration (non-sensitive)
No HorizontalPodAutoscaler - No auto-scaling rules
No PodDisruptionBudget - No high-availability guarantees

Required for License API:

# Example structure needed (NOT PRESENT)
kubernetes/
  base/
    backend/
      deployment.yaml          # FastAPI containers
      service.yaml            # ClusterIP service
      configmap.yaml          # App configuration
      hpa.yaml                # Auto-scaling
    ingress/
      ingress.yaml            # External access
      tls-secret.yaml         # SSL certificates

Current state: Only infrastructure-level resources exist, no application deployment.

3.3 ConfigMap and Secret Requirements

ConfigMaps Needed:

backend-config
- Database connection string (non-password parts)
- Redis connection string (non-password parts)
- GCP project ID
- GCP region
- Log level
- Feature flags
environment-config
- Environment name (dev/staging/prod)
- API endpoint URLs
- CORS allowed origins

Secrets Needed:

database-credentials
- DB_PASSWORD (from Cloud SQL)
- DB_CONNECTION_NAME (Cloud SQL proxy)
redis-credentials
- REDIS_AUTH_TOKEN (from Memorystore)
application-secrets
- DJANGO_SECRET_KEY
- JWT_SECRET_KEY
- STRIPE_API_KEY

Current Gap: Secret Manager secrets exist but no Kubernetes Secret manifests to mount them.

Solution Required: External Secrets Operator or Workload Identity integration.

3.4 Resource Limits/Requests

Current state: kubernetes/base/limit-ranges.yaml exists but contains placeholder values.

Production requirements for License API:

# Backend API container
resources:
  requests:
    cpu: 500m          # 0.5 CPU
    memory: 512Mi      # 512 MB
  limits:
    cpu: 2000m         # 2 CPU
    memory: 2Gi        # 2 GB

Missing: No resource requests/limits defined in actual Deployment manifests (since they don't exist).

3.5 Helm Chart Conversion Requirements

Current state: ❌ No Helm chart exists

Recommended Helm chart structure:

charts/
  coditect-license-api/
    Chart.yaml              # Metadata
    values.yaml             # Default values
    values-dev.yaml         # Dev overrides
    values-staging.yaml     # Staging overrides
    values-prod.yaml        # Production overrides
    templates/
      deployment.yaml       # Backend API deployment
      service.yaml          # ClusterIP service
      ingress.yaml          # External access
      configmap.yaml        # Configuration
      hpa.yaml              # Horizontal Pod Autoscaler
      pdb.yaml              # Pod Disruption Budget
      serviceaccount.yaml   # Workload Identity
      secrets.yaml          # External Secrets integration
    tests/
      test-connection.yaml  # Helm test for API health

Effort estimate: 40 hours (1 week)

4. Installation Script Analysis

4.1 Existing Automation Scripts

Script	Purpose	Error Handling	Rollback	Completeness
`scripts/install-tools.sh`	Install CLI tools	✅ Good	❌ None	⭐⭐⭐⭐
`scripts/verify-tools.sh`	Validate prerequisites	✅ Excellent	N/A	⭐⭐⭐⭐⭐
`scripts/gcp-setup.sh`	Create GCP project	✅ Good	❌ None	⭐⭐⭐⭐
`scripts/iam-setup.sh`	Configure IAM	⚠️ Not found	❌ None	❌ Missing
`opentofu/backend/create-backends.sh`	Create state buckets	✅ Good	❌ None	⭐⭐⭐⭐

Total scripts: 4 operational, 1 referenced but missing

4.2 Error Handling Assessment

install-tools.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/install-tools.sh`)

Error handling:

✅ set -euo pipefail (exit on error, unset variables, pipe failures)
✅ Command existence checks (command -v)
✅ Version detection with fallback to "unknown"
✅ OS detection with graceful degradation
⚠️ Installation failures logged but script continues
❌ No rollback if partial installation fails

Example:

# Line 262-278
install_gcloud || log_warn "gcloud installation skipped"
echo ""

install_terraform || log_warn "Terraform installation skipped"
echo ""

Gap: Partial installs leave system in inconsistent state (no cleanup on failure).

verify-tools.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/verify-tools.sh`)

Error handling:

✅ Excellent - Detailed checks with pass/fail/warn categorization
✅ Exit code reflects overall status
✅ Clear remediation instructions for each failure
✅ Summary at end with counts

Example:

# Lines 350-363
if [ $FAILED -eq 0 ]; then
    if [ $WARNINGS -eq 0 ]; then
        echo -e "${GREEN}✓ All checks passed! Environment is ready.${NC}"
        exit 0
    else
        echo -e "${YELLOW}⚠ Environment is mostly ready but has warnings.${NC}"
        exit 0
    fi
else
    echo -e "${RED}✗ Some required tools are missing or misconfigured.${NC}"
    exit 1
fi

Strength: Best-in-class verification script.

gcp-setup.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/gcp-setup.sh`)

Error handling:

✅ set -euo pipefail
✅ Environment parameter validation
✅ gcloud authentication check
✅ Billing account detection
⚠️ API enablement continues on errors (2>/dev/null || true)
❌ No rollback if project creation fails mid-way

Example:

# Lines 142-145
for api in "${REQUIRED_APIS[@]}"; do
    log_info "Enabling $api..."
    gcloud services enable "$api" --project="$PROJECT_ID" 2>/dev/null || true
done

Gap: API enablement failures are silently ignored.

create-backends.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/opentofu/backend/create-backends.sh`)

Error handling:

✅ set -euo pipefail
✅ Bucket existence check (skip if exists)
✅ gcloud/gsutil command checks
✅ Authentication verification
❌ No rollback if bucket creation succeeds but versioning/lifecycle fails

Hard-coded value: PROJECT_ID="coditect-citus-prod" (line 9) - BLOCKER

4.3 Manual Steps That Could Be Automated

Manual Step	Current Status	Automation Feasibility	Effort (hours)
1. Install prerequisites	✅ Automated (`install-tools.sh`)	N/A	0
2. GCP authentication	❌ Interactive OAuth	⚠️ Service account possible	8
3. Create GCP project	✅ Automated (`gcp-setup.sh`)	N/A	0
4. Enable APIs	✅ Automated (`gcp-setup.sh`)	N/A	0
5. Create state buckets	✅ Automated (`create-backends.sh`)	N/A	0
6. Initialize OpenTofu	❌ Manual	✅ Trivial	2
7. Review plan	❌ Manual (best practice)	⚠️ Auto-approve risky	N/A
8. Apply infrastructure	❌ Manual confirmation	✅ `-auto-approve` flag	1
9. Configure kubectl	❌ Manual	✅ Script with cluster name	2
10. Populate secrets	❌ Manual (security)	⚠️ Requires secure input method	16
11. Deploy application	❌ No automation	✅ Helm install command	24
12. Verify health	❌ Manual	✅ kubectl wait + curl	4

Total automatable hours: 57 hours

Non-automatable steps: GCP authentication (requires OAuth), manual plan review (best practice)

4.4 Rollback Mechanisms

Current state: ❌ No rollback mechanisms exist

Gaps:

No state backups before apply
- OpenTofu state stored in GCS with versioning
- Manual restoration: gsutil cp gs://bucket/path/to/state.tfstate.backup terraform.tfstate
- No automated rollback script
No infrastructure snapshots
- Cloud SQL: Automated backups exist (7-day retention)
- GKE: No cluster snapshots (recreate from OpenTofu)
- Redis: RDB snapshots exist (managed by Google)
- No coordinated restore procedure
No application rollback
- Kubernetes: kubectl rollout undo deployment/backend works
- No Helm chart = no helm rollback capability
No health check gates
- tofu apply completes when resources created
- No verification that services are actually healthy
- Could apply infrastructure but app fails to start

Recommendation: Implement scripts/rollback.sh with state restoration logic.

5. Configuration Management Analysis

5.1 Environment Variables Inventory

From .env.example (/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/.env.example):

Total environment variables: 102 variables across 12 categories

Required Variables (Cannot have defaults):

Variable	Category	Used By	Default Available?
`DJANGO_SECRET_KEY`	Security	Django	❌ Must generate
`DB_PASSWORD`	Database	PostgreSQL	❌ Must generate
`REDIS_AUTH_TOKEN`	Cache	Redis	❌ Auto-generated by GCP
`GOOGLE_APPLICATION_CREDENTIALS`	GCP	All services	❌ Service account key path
`STRIPE_API_KEY`	Billing	Payment processing	❌ External service
`STRIPE_WEBHOOK_SECRET`	Billing	Payment webhooks	❌ External service
`OAUTH_CLIENT_SECRET`	Auth	Hydra	❌ Must generate
`EMAIL_HOST_PASSWORD`	Email	SMTP	❌ External service

Count: 8 critical variables with no sensible defaults

Optional Variables (Have sensible defaults):

Variable	Default Value	Safe for Production?
`DJANGO_DEBUG`	`True`	❌ Must set `False`
`DJANGO_ALLOWED_HOSTS`	`localhost,127.0.0.1`	❌ Must configure domain
`DATABASE_URL`	`postgresql://...@localhost`	❌ Must use Cloud SQL
`REDIS_URL`	`redis://localhost:6379`	❌ Must use Memorystore
`GOOGLE_REGION`	`us-central1`	✅ Sensible default
`GKE_CLUSTER_NAME`	`coditect-gke-dev`	⚠️ Should match OpenTofu output
`LOG_LEVEL`	`INFO`	✅ Sensible default
`ENABLE_DEBUG_TOOLBAR`	`True`	❌ Must set `False` in prod

Count: 94 variables with defaults, 12 unsafe for production

5.2 Configuration Validation

Current state: ❌ No configuration validation script exists

Gaps:

No environment variable validation
- Script should check required vars are set
- Script should validate format (URLs, email addresses, JSON)
- Script should detect dangerous defaults (DEBUG=True in prod)
No configuration file validation
- .env file not validated against .env.example
- No check for missing required variables
- No type checking (integer vs string)
No cross-service consistency checks
- Example: GKE_CLUSTER_NAME should match OpenTofu output
- Example: REDIS_HOST should match Memorystore IP
- No automated detection of mismatches

Recommendation: Create scripts/validate-config.sh to check all variables.

Effort: 8 hours

5.3 Secrets Management Approach

Current approach: Google Cloud Secret Manager

Implementation in OpenTofu:

opentofu/modules/secrets/main.tf creates these secrets:

database-password (Cloud SQL)
redis-auth-token (Memorystore)
django-secret-key (Django)
stripe-api-key (Stripe)
stripe-webhook-secret (Stripe)
jwt-secret-key (JWT signing)
oauth-client-secret (OAuth)
smtp-password (Email)
sentry-dsn (Monitoring)

Gap: Secrets containers created but values not populated.

Manual population required:

gcloud secrets versions add database-password --data-file=password.txt

One-click install blocker: No way to securely provide secret values during automated install.

Possible solutions:

Interactive prompts (guided wizard)

read -sp "Enter database password: " DB_PASSWORD
echo -n "$DB_PASSWORD" | gcloud secrets versions add database-password --data-file=-

Secret file input (one-time config file)

# secrets.yaml (user-provided)
database_password: "xxxxx"
redis_auth_token: "xxxxx"
# Script reads YAML and populates secrets

Random generation + display (for auto-generable secrets)

DJANGO_SECRET=$(openssl rand -base64 32)
echo "DJANGO_SECRET_KEY (save this): $DJANGO_SECRET"
echo -n "$DJANGO_SECRET" | gcloud secrets versions add django-secret-key --data-file=-

Recommendation: Hybrid approach - generate random secrets where possible, prompt for external API keys.

Effort: 16 hours

5.4 Default Values vs Required Inputs

Well-designed defaults:

✅ Networking

All CIDR ranges have sensible defaults
No IP conflicts between ranges
Adequate IP space for scaling

✅ GKE

Production-grade machine types
Sensible min/max node counts
Security features enabled by default

✅ Cloud SQL

Latest PostgreSQL version
High availability by default (prod)
Automated backups enabled
Point-in-time recovery enabled

✅ Redis

High availability tier (prod)
Authentication enabled
TLS encryption enabled

Required inputs (unavoidable):

❌ project_id - Must be globally unique ❌ environment - Determines resource naming ❌ db_app_user_password - Security requirement ❌ db_readonly_user_password - Security requirement

Recommendation: Default values are production-ready, only 4 truly required inputs per environment.

6. Gap Analysis for One-Click Installation

6.1 Current Blockers

#	Blocker	Severity	Impact	Workaround Available?
1	No application Helm chart	🔴 CRITICAL	Cannot deploy License API	❌ No
2	No secret population automation	🔴 CRITICAL	Application won't start	⚠️ Manual prompts
3	Hard-coded project ID in scripts	🟡 HIGH	Cannot use custom project	✅ Parameterize
4	No health check validation	🟡 HIGH	Silent failures	✅ Add kubectl wait
5	No rollback mechanism	🟡 HIGH	Risky deployments	⚠️ Manual restoration
6	GCP auth requires OAuth	🟢 MEDIUM	User interaction needed	✅ Service account option
7	No configuration validation	🟢 MEDIUM	Silent misconfigurations	✅ Add validation script
8	Missing IAM setup script	🟢 MEDIUM	Manual permission setup	✅ Create script

Critical path: Blockers #1 and #2 must be resolved for one-click install.

6.2 Missing Components

6.2.1 Helm Charts

Status: ❌ Does not exist

Required charts:

coditect-license-api (main application)
- Deployment: FastAPI backend
- Service: ClusterIP + LoadBalancer
- Ingress: External access with TLS
- ConfigMap: Application configuration
- HorizontalPodAutoscaler: Auto-scaling
- ServiceAccount: Workload Identity for GCP access
coditect-monitoring (observability stack)
- Prometheus: Metrics collection
- Grafana: Dashboards
- Loki: Log aggregation
- Jaeger: Distributed tracing

Effort:

License API chart: 40 hours
Monitoring stack: 24 hours (use existing charts)
Total: 64 hours

6.2.2 Prerequisites Checks

Status: ⚠️ Exists (verify-tools.sh) but not integrated into install flow

Missing checks:

Billing enabled verification

gcloud billing projects describe $PROJECT_ID --format="value(billingEnabled)"

API quota checks
- Verify sufficient GCE instances quota
- Verify IP address quota
- Verify Cloud SQL quota
IAM permission validation
- Verify user has roles/owner or equivalent
- Check service account permissions
Network connectivity
- Check internet access
- Verify GCP API reachability
- Test DNS resolution

Recommendation: Create scripts/pre-flight-check.sh that runs all validations.

Effort: 8 hours

6.2.3 Post-Install Configuration

Status: ❌ No automation exists

Required steps:

DNS configuration
- Create Cloud DNS zone
- Configure A records for API endpoint
- Configure TLS certificate (Let's Encrypt via cert-manager)
Initial data seeding
- Create default tenant
- Create admin user
- Generate API keys
Monitoring setup
- Configure Grafana datasources
- Import dashboards
- Setup alerting rules
Backup verification
- Test Cloud SQL backup restoration
- Verify Redis snapshot creation
- Test disaster recovery procedure

Effort: 24 hours

6.3 Automation Roadmap

Phase 1: Foundation (Week 1 - 40 hours)

Goal: Eliminate hard-coded values and create prerequisite validation

T1.1: Parameterize all hard-coded values (8h)
- Convert coditect-citus-prod to $PROJECT_ID variable
- Make cluster name configurable
- Make region configurable
- Create global configuration file
T1.2: Create scripts/pre-flight-check.sh (8h)
- Billing verification
- API quota checks
- IAM permission validation
- Network connectivity tests
T1.3: Create scripts/validate-config.sh (8h)
- Environment variable validation
- Type checking
- Cross-service consistency checks
- Production safety checks
T1.4: Create scripts/rollback.sh (8h)
- OpenTofu state restoration
- Cloud SQL backup restoration
- Kubernetes deployment rollback
- Coordination logic
T1.5: Integrate scripts into unified installer (8h)
- scripts/install.sh - Master orchestration script
- Call sequence: pre-flight → install-tools → gcp-setup → validate-config
- Error handling and rollback integration

Deliverables:

✅ All scripts parameterized
✅ Comprehensive pre-flight checks
✅ Configuration validation
✅ Rollback capability
✅ Unified install script

Phase 2: Application Packaging (Week 2 - 40 hours)

Goal: Create Helm chart for License API application

T2.1: Create Helm chart structure (8h)
- Chart.yaml with metadata
- values.yaml with all configurable options
- Environment-specific value files (dev, staging, prod)
T2.2: Create deployment templates (16h)
- templates/deployment.yaml - FastAPI backend
- templates/service.yaml - ClusterIP + LoadBalancer
- templates/ingress.yaml - External access with TLS
- templates/configmap.yaml - Application configuration
- templates/hpa.yaml - Horizontal Pod Autoscaler
- templates/pdb.yaml - Pod Disruption Budget
- templates/serviceaccount.yaml - Workload Identity
T2.3: Integrate External Secrets Operator (8h)
- Install ESO Helm chart
- Create SecretStore for GCP Secret Manager
- Create ExternalSecret resources
- Test secret synchronization
T2.4: Add Helm tests (4h)
- templates/tests/test-connection.yaml - API health check
- templates/tests/test-database.yaml - Database connectivity
- templates/tests/test-redis.yaml - Redis connectivity
T2.5: Document Helm usage (4h)
- Update README with Helm install instructions
- Create values.yaml documentation
- Add troubleshooting guide

Deliverables:

✅ Production-ready Helm chart
✅ External Secrets integration
✅ Automated tests
✅ Documentation

Phase 3: Secret Management (Week 3 - 40 hours)

Goal: Automate secret generation and population

T3.1: Create secret generation script (8h)
- Generate random secrets (Django, JWT)
- Display generated values for user to save
- Option to provide custom values
T3.2: Create interactive secret wizard (16h)
- Guided prompts for all required secrets
- Validation for external API keys (Stripe, SMTP)
- Secure input (masked passwords)
- Confirmation step before population
T3.3: Implement secret population (8h)
- Batch upload to GCP Secret Manager
- Verify secret accessibility
- Test External Secrets synchronization
T3.4: Add secret rotation automation (8h)
- Create scripts/rotate-secrets.sh
- Zero-downtime rotation procedure
- Update Secret Manager + Kubernetes pods

Deliverables:

✅ Automated secret generation
✅ Interactive secret wizard
✅ Secret population automation
✅ Rotation capability

Phase 4: Health Checks & Validation (Week 4 - 40 hours)

Goal: Ensure deployed infrastructure is healthy

T4.1: Add infrastructure health checks (8h)
- GKE cluster ready check (kubectl wait --for=condition=Ready nodes)
- Cloud SQL connectivity test
- Redis connectivity test
- Network connectivity validation
T4.2: Add application health checks (8h)
- API /health endpoint check
- Database migration verification
- Redis session storage test
- End-to-end API test
T4.3: Create post-install verification (8h)
- scripts/verify-deployment.sh
- Check all Kubernetes resources healthy
- Verify ingress accessibility
- Test authentication flow
T4.4: Add monitoring setup automation (8h)
- Deploy Prometheus/Grafana via Helm
- Import pre-built dashboards
- Configure alerting rules
- Setup Slack/email notifications
T4.5: Create comprehensive installer (8h)
- scripts/one-click-install.sh - Master script
- Interactive mode with prompts
- Non-interactive mode with config file
- Progress indicators and logging

Deliverables:

✅ Comprehensive health checks
✅ Post-install verification
✅ Monitoring automation
✅ One-click installer script

6.4 Helm Chart Requirements Specification

Chart name: coditect-license-api Chart version: 1.0.0 App version: 0.1.0

Values Structure

# values.yaml
replicaCount: 3

image:
  repository: gcr.io/coditect-citus-prod/license-api
  tag: "latest"
  pullPolicy: IfNotPresent

service:
  type: LoadBalancer
  port: 80
  targetPort: 8000
  annotations:
    cloud.google.com/load-balancer-type: "External"

ingress:
  enabled: true
  className: "nginx"
  annotations:
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
  hosts:
    - host: api.coditect.ai
      paths:
        - path: /
          pathType: Prefix
  tls:
    - secretName: api-coditect-tls
      hosts:
        - api.coditect.ai

resources:
  requests:
    cpu: 500m
    memory: 512Mi
  limits:
    cpu: 2000m
    memory: 2Gi

autoscaling:
  enabled: true
  minReplicas: 3
  maxReplicas: 20
  targetCPUUtilizationPercentage: 70
  targetMemoryUtilizationPercentage: 80

podDisruptionBudget:
  enabled: true
  minAvailable: 2

database:
  host: "10.67.0.3"  # Cloud SQL private IP (from OpenTofu output)
  port: 5432
  name: "coditect"
  user: "app_user"
  existingSecret: "database-credentials"
  secretKey: "password"

redis:
  host: "10.121.42.67"  # Memorystore IP (from OpenTofu output)
  port: 6378
  existingSecret: "redis-credentials"
  secretKey: "auth-token"

config:
  logLevel: "INFO"
  workers: 4
  maxRequests: 1000
  maxRequestsJitter: 50

externalSecrets:
  enabled: true
  secretStore: "gcpsm-secret-store"
  secrets:
    - name: database-credentials
      key: database-password
    - name: redis-credentials
      key: redis-auth-token
    - name: app-secrets
      keys:
        - django-secret-key
        - jwt-secret-key
        - stripe-api-key

Environment-Specific Overrides

values-dev.yaml:

replicaCount: 1
autoscaling:
  enabled: false
ingress:
  enabled: false
resources:
  requests:
    cpu: 250m
    memory: 256Mi

values-prod.yaml:

replicaCount: 5
autoscaling:
  minReplicas: 5
  maxReplicas: 50
resources:
  requests:
    cpu: 1000m
    memory: 1Gi
  limits:
    cpu: 4000m
    memory: 4Gi

6.5 Installation Script Requirements

Script name: scripts/one-click-install.sh

Usage:

# Interactive mode (guided wizard)
./scripts/one-click-install.sh --interactive

# Non-interactive mode (config file)
./scripts/one-click-install.sh --config install-config.yaml

# Dry-run mode (plan only)
./scripts/one-click-install.sh --dry-run

Script Flow

Configuration File Format

install-config.yaml:

# GCP Configuration
gcp:
  project_id: "coditect-prod"
  region: "us-central1"
  billing_account: "012345-67890A-BCDEF0"

# Environment Configuration
environment: "production"

# Cluster Configuration
gke:
  cluster_name: "coditect-prod"
  node_count: 5
  machine_type: "n1-standard-4"

# Database Configuration
database:
  tier: "db-custom-4-16384"
  availability_type: "REGIONAL"

# Application Configuration
application:
  domain: "api.coditect.ai"
  replicas: 5

# Secrets Configuration (optional - will prompt if missing)
secrets:
  stripe_api_key: "sk_live_xxxxx"
  smtp_password: "xxxxx"
  # Auto-generated secrets:
  # - django_secret_key (random)
  # - jwt_secret_key (random)
  # - database_password (random)
  # - redis_auth_token (GCP-managed)

Script Features

✅ Progress Indicators

[1/15] Running pre-flight checks... ✓
[2/15] Installing prerequisites... ✓
[3/15] Authenticating with GCP... ✓

✅ Logging

# All output logged to install-TIMESTAMP.log
# Errors highlighted in red
# Warnings in yellow
# Success in green

✅ Rollback on Failure

# Automatic rollback if any step fails
# State restoration from backup
# Resource cleanup

✅ Idempotency

# Safe to re-run after partial failure
# Skips already-completed steps
# Resumes from last checkpoint

7. Estimated Engineering Effort

7.1 Effort Breakdown by Component

Component	Tasks	Hours	Engineer Profile
Phase 1: Foundation	5 tasks	40	DevOps Engineer
- Parameterization	T1.1	8
- Pre-flight checks	T1.2	8
- Config validation	T1.3	8
- Rollback script	T1.4	8
- Unified installer	T1.5	8
Phase 2: Helm Chart	5 tasks	40	Full-Stack Engineer
- Chart structure	T2.1	8
- Deployment templates	T2.2	16
- External Secrets	T2.3	8
- Helm tests	T2.4	4
- Documentation	T2.5	4
Phase 3: Secret Mgmt	4 tasks	40	Security Engineer
- Secret generation	T3.1	8
- Interactive wizard	T3.2	16
- Secret population	T3.3	8
- Rotation automation	T3.4	8
Phase 4: Validation	5 tasks	40	SRE / DevOps
- Infra health checks	T4.1	8
- App health checks	T4.2	8
- Post-install verify	T4.3	8
- Monitoring setup	T4.4	8
- One-click script	T4.5	8
Total	19 tasks	160 hours	1 Engineer (4 weeks)

7.2 Timeline

Assumptions:

1 full-time engineer
40-hour work weeks
No blockers or dependencies

Schedule:

Week	Phase	Deliverables	Risk Level
Week 1	Foundation	Parameterized scripts, pre-flight checks, validation	🟢 Low
Week 2	Helm Chart	Production-ready chart, External Secrets integration	🟡 Medium
Week 3	Secret Mgmt	Automated secret generation and population	🟡 Medium
Week 4	Validation	Health checks, monitoring, one-click installer	🟢 Low

Critical Path: Weeks 2-3 (Helm chart + Secret management) - Highest complexity

Earliest Completion: December 21, 2025 (4 weeks from now)

7.3 Risk Factors

Risk	Probability	Impact	Mitigation
External Secrets Operator integration issues	Medium	High	Test early in Week 2, fallback to manual secrets
GCP quota limits	Low	High	Pre-flight quota checks, request quota increase
Helm chart template complexity	Medium	Medium	Start with minimal chart, iterate
Secret rotation breaking app	Low	Critical	Extensive testing, staged rollout
One-click script platform issues	Medium	Medium	Test on macOS, Linux, and Cloud Shell

7.4 Dependencies

External dependencies:

✅ GCP project with billing enabled (already exists)
✅ OpenTofu modules (already complete and tested)
⚠️ FastAPI application Docker image (must exist in GCR)
⚠️ External Secrets Operator (must deploy first)
⚠️ NGINX Ingress Controller (must deploy first)
⚠️ cert-manager (must deploy first for TLS)

Recommendation: Add Kubernetes infrastructure prerequisites to Phase 1 (ESO, NGINX, cert-manager).

Additional effort: +16 hours (Week 1)

Revised total effort: 176 hours (4.4 weeks)

8. Recommendations

8.1 Priority Ranking

Priority	Item	Rationale	Effort (hours)
P0 - CRITICAL	Create Helm chart for License API	Blocks application deployment	40
P0 - CRITICAL	Automate secret population	Blocks application startup	40
P1 - HIGH	Parameterize hard-coded values	Enables multi-environment deployment	8
P1 - HIGH	Add comprehensive health checks	Prevents silent failures	16
P2 - MEDIUM	Create one-click installer script	User experience improvement	24
P2 - MEDIUM	Add rollback automation	Risk mitigation	8
P3 - LOW	Setup monitoring automation	Operational excellence	8
P3 - LOW	Create configuration validation	Quality of life	8

8.2 Phased Approach

Minimum Viable One-Click Install (MVP)

Scope: Automated infrastructure + manual application deployment

Includes:

✅ Parameterized scripts
✅ Pre-flight checks
✅ Automated OpenTofu apply
✅ Basic health checks
❌ Application Helm chart (manual helm install)
❌ Secret population (manual steps documented)

Effort: 64 hours (1.5 weeks)

Deliverable: Semi-automated install with clear manual steps for app deployment

Full One-Click Install

Scope: End-to-end automation

Includes:

✅ Everything in MVP
✅ Helm chart for License API
✅ Automated secret generation and population
✅ Comprehensive health checks
✅ Monitoring setup
✅ Single command installation

Effort: 176 hours (4.4 weeks)

Deliverable: True one-click install with zero manual steps (except GCP OAuth)

8.3 Quick Wins (Low-Hanging Fruit)

Can be completed in 1 day (8 hours):

Parameterize project ID (2 hours)
- Replace coditect-citus-prod with $PROJECT_ID variable
- Update all scripts and README
Add basic health checks (3 hours)
- kubectl wait --for=condition=Ready checks
- Cloud SQL connectivity test
- Redis connectivity test
Create configuration validation script (3 hours)
- Check required environment variables
- Validate variable formats
- Warn about unsafe defaults

Impact: Significantly improves install reliability with minimal effort

8.4 Long-Term Improvements

Beyond one-click install:

Multi-region deployment (80 hours)
- Replicate infrastructure across regions
- Global load balancing
- Cross-region database replication
Blue/green deployment (40 hours)
- Zero-downtime upgrades
- Automated canary deployments
- Traffic shifting logic
Disaster recovery automation (40 hours)
- Automated backup testing
- One-click restore procedure
- Regional failover automation
Infrastructure cost optimization (24 hours)
- Right-sizing recommendations
- Committed use discount analysis
- Spot instance integration
Compliance automation (40 hours)
- CIS GCP Benchmark checks
- Automated security scanning
- Compliance reporting

Total future work: 224 hours (5.6 weeks)

9. Conclusion

9.1 Current State Summary

Strengths:

✅ OpenTofu modules are production-ready with excellent defaults
✅ Comprehensive variable validation
✅ Good prerequisite installation scripts
✅ Infrastructure deployment is largely automated
✅ Idempotent and safe to re-run

Weaknesses:

❌ No application deployment automation (Helm chart missing)
❌ No secret population automation
❌ Hard-coded values in scripts
❌ No comprehensive health checks
❌ No rollback mechanisms

9.2 Feasibility Assessment

Is one-click installation achievable?

✅ YES - The infrastructure foundation is solid. With focused engineering effort, a true one-click installer is feasible.

Key success factors:

Create production-ready Helm chart (40 hours)
Automate secret management (40 hours)
Add comprehensive health checks (16 hours)
Create unified installer script (24 hours)

Total critical path: 120 hours (3 weeks)

9.3 Recommended Next Steps

Immediate (This Week):

✅ Parameterize all hard-coded values (8 hours)
✅ Create pre-flight check script (8 hours)
✅ Add basic health checks (8 hours)

Short-Term (Next 2 Weeks):

⏸️ Create Helm chart for License API (40 hours)
⏸️ Implement External Secrets integration (8 hours)

Medium-Term (Weeks 3-4):

⏸️ Automate secret generation and population (40 hours)
⏸️ Create comprehensive one-click installer (24 hours)

Timeline to MVP: 1.5 weeks Timeline to Full One-Click: 4.4 weeks

9.4 Success Metrics

Definition of "One-Click Install":

# User runs single command:
./scripts/one-click-install.sh --config my-config.yaml

# Script completes:
# ✅ Prerequisites installed
# ✅ GCP project created and configured
# ✅ Infrastructure provisioned (GKE, Cloud SQL, Redis)
# ✅ Secrets generated and populated
# ✅ Application deployed and healthy
# ✅ Monitoring configured
# ✅ External access working (https://api.example.com)

# Total time: 15-20 minutes

Acceptance criteria:

Installation completes without manual intervention
All health checks pass
Application accessible via HTTPS
Monitoring dashboards populated
Documentation includes rollback procedure
Script tested on macOS, Linux, and Google Cloud Shell

End of Assessment

Document Version: 1.0 Last Updated: November 23, 2025 Next Review: After Phase 1 completion Owner: CODITECT Infrastructure Team

Executive Summary​

1. Current Installation Complexity Analysis​

1.1 Manual Steps Breakdown (from README.md)​

Phase 1: Prerequisites Setup (5 steps)​

Phase 2: GCP Authentication (3 steps)​

Phase 3: Infrastructure Provisioning (4 steps)​

Phase 4: Verification (3 steps)​

1.2 Hard-Coded Values Requiring Parameterization​

1.3 Dependencies Requiring Pre-Installation​

2. OpenTofu Module Maturity Assessment​

2.1 Module Overview​

2.2 Sensible Defaults Analysis​

networking module (opentofu/modules/networking/variables.tf)​

gke module (opentofu/modules/gke/variables.tf)​

cloudsql module (opentofu/modules/cloudsql/variables.tf)​

redis module (opentofu/modules/redis/variables.tf)​

secrets module (opentofu/modules/secrets/variables.tf)​

2.3 Variable Validation Summary​

2.4 Idempotency Assessment​

3. Kubernetes Readiness Analysis​

3.1 Existing Manifests Inventory​

3.2 Missing Kubernetes Components​

3.3 ConfigMap and Secret Requirements​

3.4 Resource Limits/Requests​

3.5 Helm Chart Conversion Requirements​

4. Installation Script Analysis​

4.1 Existing Automation Scripts​

4.2 Error Handling Assessment​

install-tools.sh (/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/install-tools.sh)​

verify-tools.sh (/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/verify-tools.sh)​

gcp-setup.sh (/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/gcp-setup.sh)​

create-backends.sh (/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/opentofu/backend/create-backends.sh)​

4.3 Manual Steps That Could Be Automated​

4.4 Rollback Mechanisms​

5. Configuration Management Analysis​

5.1 Environment Variables Inventory​

Required Variables (Cannot have defaults):​

Optional Variables (Have sensible defaults):​

5.2 Configuration Validation​

5.3 Secrets Management Approach​

5.4 Default Values vs Required Inputs​

6. Gap Analysis for One-Click Installation​

6.1 Current Blockers​

6.2 Missing Components​

6.2.1 Helm Charts​

6.2.2 Prerequisites Checks​

6.2.3 Post-Install Configuration​

6.3 Automation Roadmap​

Phase 1: Foundation (Week 1 - 40 hours)​

Phase 2: Application Packaging (Week 2 - 40 hours)​

Phase 3: Secret Management (Week 3 - 40 hours)​

Phase 4: Health Checks & Validation (Week 4 - 40 hours)​

6.4 Helm Chart Requirements Specification​

Values Structure​

Environment-Specific Overrides​

6.5 Installation Script Requirements​

Script Flow​

Configuration File Format​

Script Features​

7. Estimated Engineering Effort​

7.1 Effort Breakdown by Component​

7.2 Timeline​

7.3 Risk Factors​

7.4 Dependencies​

8. Recommendations​

8.1 Priority Ranking​

8.2 Phased Approach​

Minimum Viable One-Click Install (MVP)​

Full One-Click Install​

8.3 Quick Wins (Low-Hanging Fruit)​

8.4 Long-Term Improvements​

9. Conclusion​

9.1 Current State Summary​

9.2 Feasibility Assessment​

9.3 Recommended Next Steps​

9.4 Success Metrics​

Executive Summary

1. Current Installation Complexity Analysis

1.1 Manual Steps Breakdown (from README.md)

Phase 1: Prerequisites Setup (5 steps)

Phase 2: GCP Authentication (3 steps)

Phase 3: Infrastructure Provisioning (4 steps)

Phase 4: Verification (3 steps)

1.2 Hard-Coded Values Requiring Parameterization

1.3 Dependencies Requiring Pre-Installation

2. OpenTofu Module Maturity Assessment

2.1 Module Overview

2.2 Sensible Defaults Analysis

networking module (`opentofu/modules/networking/variables.tf`)

gke module (`opentofu/modules/gke/variables.tf`)

cloudsql module (`opentofu/modules/cloudsql/variables.tf`)

redis module (`opentofu/modules/redis/variables.tf`)

secrets module (`opentofu/modules/secrets/variables.tf`)

2.3 Variable Validation Summary

2.4 Idempotency Assessment

3. Kubernetes Readiness Analysis

3.1 Existing Manifests Inventory

3.2 Missing Kubernetes Components

3.3 ConfigMap and Secret Requirements

3.4 Resource Limits/Requests

3.5 Helm Chart Conversion Requirements

4. Installation Script Analysis

4.1 Existing Automation Scripts

4.2 Error Handling Assessment

install-tools.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/install-tools.sh`)

verify-tools.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/verify-tools.sh`)

gcp-setup.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/scripts/gcp-setup.sh`)

create-backends.sh (`/Users/halcasteel/PROJECTS/coditect-rollout-master/submodules/cloud/coditect-cloud-infra/opentofu/backend/create-backends.sh`)

4.3 Manual Steps That Could Be Automated

4.4 Rollback Mechanisms

5. Configuration Management Analysis

5.1 Environment Variables Inventory

Required Variables (Cannot have defaults):

Optional Variables (Have sensible defaults):

5.2 Configuration Validation

5.3 Secrets Management Approach

5.4 Default Values vs Required Inputs

6. Gap Analysis for One-Click Installation

6.1 Current Blockers

6.2 Missing Components

6.2.1 Helm Charts

6.2.2 Prerequisites Checks

6.2.3 Post-Install Configuration

6.3 Automation Roadmap

Phase 1: Foundation (Week 1 - 40 hours)

Phase 2: Application Packaging (Week 2 - 40 hours)

Phase 3: Secret Management (Week 3 - 40 hours)

Phase 4: Health Checks & Validation (Week 4 - 40 hours)

6.4 Helm Chart Requirements Specification

Values Structure

Environment-Specific Overrides

6.5 Installation Script Requirements

Script Flow

Configuration File Format

Script Features

7. Estimated Engineering Effort

7.1 Effort Breakdown by Component

7.2 Timeline

7.3 Risk Factors

7.4 Dependencies

8. Recommendations

8.1 Priority Ranking

8.2 Phased Approach

Minimum Viable One-Click Install (MVP)

Full One-Click Install

8.3 Quick Wins (Low-Hanging Fruit)

8.4 Long-Term Improvements

9. Conclusion

9.1 Current State Summary

9.2 Feasibility Assessment

9.3 Recommended Next Steps

9.4 Success Metrics