Insights
Stay ahead of trends and techniques in data analytics and AI-ML from our densely certified team of engineering leaders, including 4 AWS Ambassadors along with experts on every cloud and data platform.
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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...
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...
Read moreReal-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...
Read moreCOBOL 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...
Read moreBreaking Free from Mainframe Lock-in: The AI-Powered Kubernetes Approach
For decades, enterprises have depended on mainframe systems to run their critical operations. While these systems are known for their reliability and...
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