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migration-architect
Migration Architect
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Migration Architect
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
A brief description of what this skill does
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| name | migration-architect |
| description | Migration Architect |
| risk | safe |
| source | community |
| license | MIT |
Tier: POWERFUL
Category: Engineering - Migration Strategy
Purpose: Zero-downtime migration planning, compatibility validation, and rollback strategy generation
The Migration Architect skill provides comprehensive tools and methodologies for planning, executing, and validating complex system migrations with minimal business impact. This skill combines proven migration patterns with automated planning tools to ensure successful transitions between systems, databases, and infrastructure.
Expand-Contract Pattern
Parallel Schema Pattern
Event Sourcing Migration
Bulk Data Migration
Dual-Write Pattern
Change Data Capture (CDC)
graph TD
A[Client Requests] --> B[API Gateway]
B --> C{Route Decision}
C -->|Legacy Path| D[Legacy Service]
C -->|New Path| E[New Service]
D --> F[Legacy Database]
E --> G[New Database]
Assessment Phase
Pilot Migration
Production Migration
Lift and Shift
Re-architecture
Hybrid Approach
# Example feature flag implementation
class MigrationFeatureFlag:
def __init__(self, flag_name, rollout_percentage=0):
self.flag_name = flag_name
self.rollout_percentage = rollout_percentage
def is_enabled_for_user(self, user_id):
hash_value = hash(f"{self.flag_name}:{user_id}")
return (hash_value % 100) < self.rollout_percentage
def gradual_rollout(self, target_percentage, step_size=10):
while self.rollout_percentage < target_percentage:
self.rollout_percentage = min(
self.rollout_percentage + step_size,
target_percentage
)
yield self.rollout_percentage
Implement automatic fallback to legacy systems when new systems show degraded performance:
class MigrationCircuitBreaker:
def __init__(self, failure_threshold=5, timeout=60):
self.failure_count = 0
self.failure_threshold = failure_threshold
self.timeout = timeout
self.last_failure_time = None
self.state = 'CLOSED' # CLOSED, OPEN, HALF_OPEN
def call_new_service(self, request):
if self.state == 'OPEN':
if self.should_attempt_reset():
self.state = 'HALF_OPEN'
else:
return self.fallback_to_legacy(request)
try:
response = self.new_service.process(request)
self.on_success()
return response
except Exception as e:
self.on_failure()
return self.fallback_to_legacy(request)
Row Count Validation
Checksums and Hashing
Business Logic Validation
Delta Detection
-- Example delta query for reconciliation
SELECT 'missing_in_target' as issue_type, source_id
FROM source_table s
WHERE NOT EXISTS (
SELECT 1 FROM target_table t
WHERE t.id = s.id
)
UNION ALL
SELECT 'extra_in_target' as issue_type, target_id
FROM target_table t
WHERE NOT EXISTS (
SELECT 1 FROM source_table s
WHERE s.id = t.id
);
Automated Correction
Schema Rollback
Data Rollback
Blue-Green Deployment
Rolling Rollback
Infrastructure as Code
Data Persistence
Technical Risks
Business Risks
Operational Risks
Technical Mitigations
Business Mitigations
Operational Mitigations
Migration Status: [IN_PROGRESS | COMPLETED | ROLLED_BACK]
Start Time: [YYYY-MM-DD HH:MM UTC]
Current Phase: [X of Y]
Overall Progress: [X%]
Key Metrics:
- System Availability: [X.XX%]
- Data Migration Progress: [X.XX%]
- Performance Impact: [+/-X%]
- Issues Encountered: [X]
Next Steps:
1. [Action item 1]
2. [Action item 2]
Risk Assessment: [LOW | MEDIUM | HIGH]
Rollback Status: [AVAILABLE | NOT_AVAILABLE]
Phase: [Phase Name] - [Status]
Duration: [Started] - [Expected End]
Completed Tasks:
✓ [Task 1]
✓ [Task 2]
In Progress:
🔄 [Task 3] - [X% complete]
Upcoming:
⏳ [Task 4] - [Expected start time]
Issues:
⚠️ [Issue description] - [Severity] - [ETA resolution]
Metrics:
- Migration Rate: [X records/minute]
- Error Rate: [X.XX%]
- System Load: [CPU/Memory/Disk]
# Example migration pipeline stage
migration_validation:
stage: test
script:
- python scripts/compatibility_checker.py --before=old_schema.json --after=new_schema.json
- python scripts/migration_planner.py --config=migration_config.json --validate
artifacts:
reports:
- compatibility_report.json
- migration_plan.json
# Example Terraform for blue-green infrastructure
resource "aws_instance" "blue_environment" {
count = var.migration_phase == "preparation" ? var.instance_count : 0
# Blue environment configuration
}
resource "aws_instance" "green_environment" {
count = var.migration_phase == "execution" ? var.instance_count : 0
# Green environment configuration
}
This Migration Architect skill provides a comprehensive framework for planning, executing, and validating complex system migrations while minimizing business impact and technical risk. The combination of automated tools, proven patterns, and detailed procedures enables organizations to confidently undertake even the most complex migration projects.