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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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Enhancing Security & Compliance for Mainframe Migrations on AWS

Migrating mainframe workloads to AWS presents a significant security and compliance challenge. Enterprises running...

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Future-Proofing Enterprise Data Processing in AWS: Why Kubernetes Is Key

Enterprises are increasingly realizing that legacy mainframes are bottlenecks—costly to maintain, difficult to scale, and resistant to...

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The Hidden Cost of Legacy Systems: How AWS Can Save Millions

Legacy mainframe systems are the backbone of many enterprises, yet they come with skyrocketing costs, operational inefficiencies, and limited...

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The Role of GitOps in Modernizing COBOL Applications in AWS

Mainframe-based COBOL applications are still integral to many enterprise workflows, yet they lack the agility and automation required in modern IT...

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Infrastructure-as-Code: Scaling Mainframe Workloads on AWS with Terraform

Mainframe workloads are costly, rigid, and difficult to scale. As enterprises look for modernization strategies, IaC with Terraform...

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Real-Time AI Data Enrichment for Legacy Workloads in AWS

Legacy systems, particularly those built on COBOL, continue to power critical business operations in enterprises worldwide. However, these systems often...

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COBOL to Containers: Running Legacy Code in a Kubernetes Environment

Modernizing legacy COBOL applications is the start for organizations aiming to enhance scalability, maintainability, and integration within modern...

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