Enterprise App Modernization, Mainframe Migration & Cloud Refactoring

Modernizing Enterprise Platforms & Legacy Mainframes

Legacy systems and monolithic mainframes run the core operations of many of the world’s largest enterprises. However, exorbitant licensing fees, dwindling specialist talent pools (such as COBOL and PL/I programmers), and brittle release cycles severely restrict business agility.

At Aviato Consulting, we guide enterprises through high-confidence, low-risk application modernization journeys. We refactor and decompose legacy systems into scalable, event-driven cloud services running on Google Cloud Platform (Cloud Run, GKE, and Eventarc) without disrupting active business operations.

The Strangler Fig Modernization Blueprint

Rather than attempting high-risk “big bang” rewrites that frequently fail or exceed budget, Aviato employs the proven Strangler Fig Pattern:

1. Edge Traffic Routing: Deploy Google Cloud Load Balancing or Apigee as an intelligent routing proxy in front of the legacy platform.
2. Feature Extraction: Incrementally carve out bounded business domains (e.g., identity, billing, inventory) into standalone microservices.
3. Bi-Directional Change Data Capture (CDC): Stream transactional data between legacy databases and modern cloud databases (such as Cloud Spanner or Cloud SQL) using Debezium and Google Cloud Pub/Sub, ensuring complete data consistency throughout the transition.
4. Decommissioning: Safely route traffic to the modern cloud microservices and gradually power down legacy mainframe components as functionality is fully migrated.

Core Pillars of Our Modernization Practice

1. Mainframe Refactoring & Code Translation

• Automated Code Analysis: Parse complex legacy COBOL, RPG, and CICS transactional logic using Gemini-powered static analysis tools to extract undocumented business rules.
• Modern Language Target: Translate legacy procedural code into maintainable, type-safe Go, Java, or Python microservices.
• Hermetic Integration Testing: Generate automated regression test harnesses comparing legacy mainframe outputs against new cloud microservice outputs side-by-side.

2. Database Modernization & Zero-Downtime Data Migration

• Relational Modernization: Migrate legacy mainframe DB2, Oracle, and MS SQL databases to Google Cloud Spanner (for globally consistent ACID transactions) or Cloud SQL for PostgreSQL.
• Zero-Downtime Replication: Live streaming replication with Google Datastream and Cloud Dataflow ensuring continuous synchronization with zero scheduled downtime.

3. Serverless & Containerized Execution

• Google Cloud Run: Run modernized containerized workloads on managed serverless infrastructure that auto-scales to zero when idle, slashing enterprise operational costs.
• Google Kubernetes Engine (GKE): Enterprise orchestration for complex stateful workloads requiring high computational throughput and hybrid cloud interconnects.

Compliance, Security & Risk Mitigation

Enterprise modernization in regulated sectors (Banking, Insurance, Healthcare, Government) requires strict adherence to sovereign compliance frameworks:

• APRA CPS 234 & CPS 230 Compliance: Complete operational resilience and information security governance embedded directly into Terraform infrastructure modules.
• SOC 2 Type II & ISO 27001 Alignment: Automated drift detection, immutable audit logging with Cloud Logging, and centralized secret management with Google Secret Manager.
• Zero Trust Security: Enforce identity-aware proxying (IAP), mutual TLS (mTLS) with Istio service mesh, and automated Cloud Armor DDoS/WAF protection.

Real-World Modernization Outcomes

Modernize Your Core Systems with Confidence

Don’t let legacy technical debt throttle your organization’s digital transformation. Talk to our senior enterprise modernization architects today.

Book a Modernization Feasibility Assessment →