Insights
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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...
Read moreThe 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...
Read moreEnhancing Security & Compliance for Mainframe Migrations on AWS
Migrating mainframe workloads to AWS presents a significant security and compliance challenge. Enterprises running...
Read moreFuture-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...
Read moreThe 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...
Read moreThe 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...
Read moreInfrastructure-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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