AS/400 to Aurora AI Migration Accelerator

The AS/400 to Aurora AI Migration Accelerator is a fully managed, AI‑guided modernization solution designed to migrate complex IBM i workloads to AWS with speed, accuracy, and traceability. Using intelligent agents, serverless orchestration, and automated validation, the solution eliminates manual migration risks while supporting high‑volume, business‑critical systems. It delivers a repeatable, test‑driven migration framework built for enterprise scale, governance, and operational resilience.

Key Features

• Automatically extracts and converts DB2 for i schemas to PostgreSQL‑optimized structures, with intelligent review flags for exeptions and edge cases

• Analyzes row counts, null distribution, cardinality, and large‑table characteristics to inform migration strategy and optimize performance

• Dynamically generates AWS Glue PySpark jobs with EBCDIC‑to‑UTF‑8 conversion, data type mapping, and transformation logic

• Reconciles row counts, checksums, and null rates post‑migration with automated alerts on discrepancies

• Coordinates parallel table migrations with built-in concurrency control, retry logic, and failure handling

• Provides real‑time dashboards, structured logging, and notifications for full visibility into migration health and outcomes.

Migration Approach

1. Intelligent agents analyze IBM i schemas, relationships, and dependencies to create a migration blueprint.
2. ETL pipelines and transformation logic are automatically created using AWS Glue and orchestrated via Step Functions.
3. High-volume data is processed with encoding conversion, type casting, and performance tuning built into the pipelines.
4. Migration quality is continuously verified using reconciliation checks (row counts, checksums, null patterns).
5. Serverless workflows enable parellel execution with resiliency, monitoring, and automated recovery.

Use Cases

• Enterprise Modernization: Migrate legacy IBM i workloads to cloud‑native databases

• Insurance & Financial Services: Modernize policy, claims, and ledger systems

• Manufacturing & Supply Chain: Move production and logistics data to scalable analytics platforms

• Retail & Distribution: Enable real‑time reporting and downstream analytics

• Data & AI Enablement: Prepare legacy data for modern analytics, ML, and GenAI use cases

Benefits

• Reduced Migration Risk

Automated validation and AI‑assisted conversion minimize human error

• Faster Time to Value

Accelerate modernization while avoiding lengthy manual rewrites

• Operational Continuity

Designed for large datasets and mission‑critical systems

• Future‑Ready Architecture

Unlock analytics, AI, and cloud‑native capabilities on Aurora PostgreSQL

• Repeatable & Scalable

Standardized approach suitable for single migrations or large portfolios

Key AWS Components

Amazon Bedrock, AWS Lambda, AWS Step Functions (Express Workflows), AWS Glue, Amazon Aurora PostgreSQL, AWS Database Migration Service (DMS), Amazon S3, Amazon CloudWatch, Amazon SNS, AWS IAM, AWS Secrets Manager