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architecture_eks_cobol

Legacy, Meet Cloud Native: Lessons from Blending COBOL, K8s, and ML

Introduction

When people talk about modernization, they often picture “lift and shift,” total rewrites, or big-bang digital transformation. But...

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Building a Smart Feedback Loop: Real-Time Inference on COBOL Logs

Introduction

Modern data pipelines don't stop at processing—they evolve. With our eks_cobol system running legacy COBOL code on...

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Predicting Legacy Failures: Training and Hosting ML Models in SageMaker

Introduction

Legacy systems are infamous for failing silently—or catastrophically—with no early warning signs. In our eks_cobol...

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Preparing COBOL Error Data for Machine Learning in SageMaker

Introduction

COBOL and machine learning may sound like opposites—one was born in the era of punch cards, the other in the age of GPU clusters....

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When COBOL Fails: Real-Time Error Management with S3 and JSON

Introduction

In any system that processes large volumes of data, failure is inevitable. And when you're running legacy COBOL applications as part...

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From Mainframe to Microservice: Modernizing COBOL Data Processing

Introduction

Legacy systems are the heartbeat of many enterprises, particularly in finance, government, and healthcare. At the center of those...

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Bridging Generations: Running COBOL on Kubernetes with EFS

Introduction

In 2025, COBOL is still a critical part of global enterprise operations. Despite being developed over 60 years ago, COBOL continues...

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Revolutionizing Enterprise Data Processing: Modernizing Mainframe Workloads with AI & Kubernetes

Introduction

Large enterprises that continue to rely on mainframe systems encounter several significant challenges. The high...

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The Future of AI-Augmented Legacy Systems: What Enterprises Need to Know

Enterprises have relied on legacy IT infrastructures—including COBOL-based mainframes—for decades. These systems, while...

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