APS Automation Patterns Cheat Sheet
Document Version: v4.2 (January 2026)
RAPS Version: 4.2.1 (with MCP Server v1.2.0)
APS API Coverage: Data Management v1, Model Derivative v2, OSS v2, Authentication v2, Construction Cloud v1, Design Automation v3
Integration Support: GitHub Actions, Jenkins, Docker, Kubernetes
AI Features: Natural Language Operations via MCP Protocol v1.2.0
Common Automation Workflows
π File Processing Pipeline
# Pattern: Upload β Process β Download β Notify
raps workflow create "standard-processing" \
--steps "upload,translate,download,notify" \
--retry-on-failure \
--parallel-execution
# One-liner implementation
raps pipeline run \
--input "*.dwg" \
--output "./processed/" \
--formats "svf,pdf" \
--webhook "$COMPLETION_URL"
π Project Synchronization
# Pattern: Sync local directory with APS project
raps sync configure \
--local "./project-files/" \
--remote "aps://project/b.12345678-1234" \
--bidirectional \
--exclude-patterns "*.tmp,*.bak"
# Continuous sync with change detection
raps sync watch --auto-upload --conflict-resolution newest
π Multi-Environment Deployment
# Pattern: Dev β Staging β Production
raps deploy pipeline \
--source-env development \
--target-env staging \
--approval-required \
--rollback-on-failure
# Automated promotion with validation
raps deploy promote \
--from staging \
--to production \
--validate-before \
--health-checks "api,permissions,quotas"
Enterprise Automation Strategies
π Batch Processing Optimization
Large-Scale File Operations
# Process 10,000+ files efficiently
raps batch optimize \
--chunk-size 100 \
--parallel-workers 20 \
--memory-limit 4GB \
--rate-limit-adaptive
# Queue-based processing for stability
raps queue create processing-queue \
--workers 10 \
--retry-attempts 3 \
--dead-letter-queue failed-processing
Smart Resource Management
# Automatic resource scaling based on load
raps autoscale configure \
--metric queue-length \
--scale-up-threshold 100 \
--scale-down-threshold 10 \
--min-workers 5 \
--max-workers 50
π Security Automation
Token Management
# Automated token rotation
raps auth rotate \
--schedule "0 2 * * 0" \
--notify-before 24h \
--update-services automatically
# Service account management
raps service-accounts create automation-bot \
--permissions "oss:read,dm:write,derivative:admin" \
--rotate-monthly \
--audit-access
Access Control Automation
# Dynamic permission assignment
raps rbac auto-assign \
--rule "project-owner β full-access" \
--rule "team-member β read-write" \
--rule "external-contractor β read-only"
# Compliance automation
raps compliance auto-check \
--framework sox \
--schedule daily \
--remediate-violations
CI/CD Integration Patterns
GitHub Actions Workflows
Standard Deployment
name: APS Deployment
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Setup RAPS
run: |
curl -L rapscli.xyz/install.sh | sh
raps auth login --token $
- name: Deploy to APS
run: |
raps deploy run \
--environment production \
--source ./models \
--auto-rollback \
--notify-slack $
Advanced Pipeline with Testing
- name: Validate Models
run: |
raps validate batch ./models \
--rules "size<100MB,format=dwg|rvt" \
--fail-on-error
- name: Performance Test
run: |
raps test performance \
--load-test 100-files \
--max-duration 5min \
--success-threshold 95%
- name: Blue-Green Deployment
run: |
raps deploy blue-green \
--staging-slot blue \
--production-slot green \
--traffic-shift gradual
Jenkins Pipeline
pipeline {
agent any
stages {
stage('Setup') {
steps {
sh 'raps auth login --token $APS_TOKEN'
}
}
stage('Process Models') {
parallel {
stage('Validate') {
steps {
sh 'raps validate ./models --strict'
}
}
stage('Transform') {
steps {
sh 'raps batch convert *.dwg --format rvt'
}
}
}
}
stage('Deploy') {
when {
branch 'main'
}
steps {
sh '''
raps deploy production \
--source ./models \
--notify-teams $TEAMS_WEBHOOK
'''
}
}
}
post {
always {
sh 'raps cleanup --temp-files'
}
}
}
Error Handling & Resilience
Robust Error Recovery
# Configure intelligent retry logic
raps resilience configure \
--retry-strategy exponential \
--max-attempts 5 \
--circuit-breaker-threshold 50% \
--timeout-escalation progressive
# Dead letter queue for failed operations
raps dlq configure \
--max-retries 3 \
--quarantine-duration 24h \
--manual-review-required \
--escalation-email ops@company.com
Health Monitoring Automation
# Proactive health monitoring
raps health monitor \
--check-interval 30s \
--auto-remediation basic \
--alert-escalation progressive \
--integrate-with pagerduty
# Automatic service recovery
raps recovery configure \
--detect-patterns "timeout,rate-limit,auth-failure" \
--actions "retry,failover,scale-up" \
--notification-channels slack,email
Performance Optimization Patterns
Caching Strategies
# Intelligent caching for derivatives
raps cache configure \
--strategy lru \
--max-size 10GB \
--ttl 24h \
--prefetch-popular \
--compress-storage
# Distributed caching for teams
raps cache distributed \
--nodes cache1,cache2,cache3 \
--consistency eventual \
--replication-factor 2
Network Optimization
# Optimize for global teams
raps network optimize \
--enable-compression \
--use-cdn \
--regional-endpoints \
--connection-pooling \
--keep-alive 300s
# Bandwidth management
raps bandwidth configure \
--limit-per-user 10Mbps \
--priority-uploads critical \
--throttle-downloads off-hours \
--burst-allowance 50MB
Monitoring & Analytics Automation
Automated Reporting
# Daily operational reports
raps reporting schedule daily \
--metrics "usage,performance,errors" \
--format html \
--recipients ops-team@company.com
# Cost optimization alerts
raps cost monitor \
--threshold-increase 20% \
--alert-frequency daily \
--recommendations automatic
Performance Analytics
# Real-time performance tracking
raps analytics stream \
--metrics "response-time,throughput,error-rate" \
--output prometheus \
--dashboard grafana
# Predictive scaling
raps predict load \
--model usage-patterns \
--horizon 7days \
--auto-scale-trigger 80%
Data Management Automation
Lifecycle Management
# Automated data lifecycle
raps lifecycle policy create \
--name "standard-retention" \
--hot-period 30days \
--warm-period 90days \
--cold-storage 7years \
--auto-delete never
# Data archival automation
raps archive configure \
--trigger "age>365days OR size<1MB" \
--destination glacier \
--compression enabled \
--encryption required
Backup Automation
# Intelligent backup scheduling
raps backup schedule \
--strategy incremental-daily \
--full-backup weekly \
--retention 12-months \
--verify-integrity always
# Cross-region disaster recovery
raps dr configure \
--primary us-east \
--secondary eu-west \
--rpo 1hour \
--rto 4hours \
--test-schedule monthly
Integration Patterns
Webhook Automation
# Event-driven automation
raps webhook create project-automation \
--trigger "file.uploaded" \
--action "start-translation" \
--filter "file.size > 1MB" \
--retry-policy exponential
# Workflow orchestration
raps workflow create complex-pipeline \
--trigger webhook \
--steps "validate,transform,notify,archive" \
--parallel-where-possible \
--timeout 30min
External System Integration
# ERP system integration
raps integration configure sap \
--endpoint erp.company.com \
--auth oauth2 \
--sync-schedule hourly \
--mapping project-code:cost-center
# PLM integration
raps integration configure windchill \
--bidirectional-sync \
--conflict-resolution newest \
--audit-trail comprehensive
Troubleshooting Patterns
Automated Diagnostics
# Self-healing diagnostics
raps diagnose auto \
--symptoms "slow-response,high-error-rate" \
--remediation automatic \
--escalation-threshold 3-attempts
# Performance bottleneck detection
raps analyze bottlenecks \
--timeframe 24h \
--auto-optimize \
--report-improvements
Debug Automation
# Intelligent debug collection
raps debug collect \
--scenario performance-issue \
--include-logs 24h \
--sanitize-secrets \
--upload-to-support
# Automated root cause analysis
raps rca perform \
--incident-id INC-12345 \
--analyze-patterns \
--suggest-prevention
Best Practices Summary
β Doβs
- Always use profiles for environment separation
- Implement retry logic for all external operations
- Monitor performance metrics continuously
- Automate token rotation for security
- Use batch operations for efficiency
- Cache frequently accessed data
- Log all operations for audit trails
β Donβts
- Never hardcode credentials in scripts
- Donβt ignore rate limits - implement backoff
- Avoid sequential processing of large datasets
- Donβt skip validation of input data
- Never bypass error handling for speed
- Donβt run operations without monitoring
- Avoid manual processes that can be automated
π― Optimization Tips
# Profile your operations
raps profile operation upload-batch --analyze
# Use parallel processing wisely
raps config optimize --workload-type batch-heavy
# Monitor and adjust based on metrics
raps metrics analyze --recommendations
Emergency Automation
Incident Response
# Automated incident response
raps incident create high-api-errors \
--auto-investigate \
--escalation-path "team-lead β manager β director" \
--resolution-sla 4h
# Emergency procedures
raps emergency execute traffic-divert \
--from problematic-region \
--to healthy-regions \
--duration 30min
Business Continuity
# Automatic failover
raps failover configure \
--health-check endpoint \
--failure-threshold 3 \
--recovery-delay 5min \
--rollback-if-worse
# Service degradation handling
raps degradation configure \
--preserve-core-functions \
--disable-non-essential \
--user-notification automatic
π More Resources:
- Pattern Library: rapscli.xyz/patterns
- Best Practices: rapscli.xyz/best-practices
- Community Examples: github.com/raps-cli/examples
Version-Specific Features & Changes
RAPS 4.2.1 New Automation Features
- Natural Language Automation:
raps ai-assistant "upload all models and generate PDFs" - Enhanced Parallel Processing: 50% faster bulk operations
- Improved Error Recovery: Smart retry with exponential backoff
- Advanced Monitoring: Real-time performance analytics
MCP Server v1.2.0 Integration
# Natural language workflow automation
raps mcp enable
raps ai "process all models in staging bucket for client presentation"
raps ai "migrate production data to new tenant with validation"
API Version Dependencies
| Pattern | Min APS API | Recommended | Notes |
|---|---|---|---|
| File Processing | DM v1, MD v1 | DM v1, MD v2 | v2 has better format support |
| Enterprise SSO | Auth v1 | Auth v2 | v2 required for advanced features |
| Multi-Tenant | DM v1, OSS v1 | DM v1, OSS v2, CC v1 | Construction Cloud for enterprise |
| CI/CD Integration | All v1 | All v2 | Better webhook support in v2 |
| AI Operations | All v2 | All v2 + MCP v1.2 | Requires latest versions |
Deprecation Warnings
- Model Derivative v1: Pattern examples updated for v2 migration
- OAuth 1.0 Flows: Removed from all examples (use OAuth 2.0)
- Legacy Webhook Format: Update to new schema before Q3 2026
Compatibility Notes
- RAPS 4.x: All patterns compatible across minor versions
- RAPS 3.x: Basic patterns work, AI features unavailable
- APS API: Patterns tested against latest API versions only
| *APS Automation Patterns v4.2 | RAPS v4.2.1 + MCP v1.2.0 | APS APIs: DM v1, MD v2, OSS v2, Auth v2, CC v1, DA v3 | Updated: January 2026 | For Enterprise Use* |