The Connection

It is now officially impossible to ignore the AI storm that is shaking the IT industry. Many of us have been through previous major industry shifts, such as the rise of the world wide web in the 90’s, the mobile computing, the cloud computing but none have challenged the way we think, design, build, deliver, and maintain platforms and software as AI. As much as I want this newsletter to cover various topics, I suspect AI and its impact on Nonstop is going to be our main discussion for the time being.

As AI moves from research curiosity to enterprise imperative, HPE NonStop users face a critical challenge: how to integrate with AI without compromising system integrity. This article explores how the new Model Context Protocol (MCP) and Infrasoft’s uLinga Nexus are bridging this gap, providing a secure, standards-based gateway that allows AI agents to interact with mission-critical systems in real-time.

In the Nonstop world, we’ve always taken pride in systems that run reliably for decades. The architecture is fault-tolerant, the performance is scalable, and the reliability is peerless. But over time, something important happens: the code stays visible, while the business rules that drive behavior become harder to see. Every enhancement, regulatory change, exception path, and operational adjustment adds another layer of logic. Over many years, the true behavior of the system becomes embedded deep inside source code rather than in written specifications.

As enterprises modernize and distribute workloads across hybrid, cloud, and multi‑database environments, one requirement remains constant: data must be accurate everywhere it lives. Whether supporting real‑time banking transactions, analytics pipelines, customer‑facing applications, or regulatory reporting, organizations depend on consistent, trustworthy information across all platforms.

Distributed Transactions (XA) with the HPE NonStop JDBC Type 4 driver allow Java applications on external platforms to participate in transactions that update SQL/MX databases alongside other resources in a single atomic operation. This ensures data consistency across heterogeneous systems, providing reliability and resilience to failure for mission-critical financial and enterprise environments.

Reliable backup and recovery are fundamental requirements for organizations operating mission-critical workloads on the HPE Nonstop platform. These environments frequently support high-value transaction processing systems such as banking networks, payment gateways, stock exchanges, retail POS systems, and telecommunications infrastructure. Because these systems often operate 24×7 with extremely high availability requirements, backup infrastructure must be

Modern AI relies heavily on GPUs (graphical processing units). GPUs are expensive resources that push the boundaries of power consumption and data center capabilities. Mature organizations are constantly looking for ways to optimize GPU utilization. … Enter GPU hardware isolation, a technique that allows GPUs to be partitioned into smaller, isolated units.

NuWave Technologies acknowledges the significance of ISO 8583 and ISO 20022 in financial messaging standards, with ISO 8583 historically serving card-based transactions and ISO 20022 emerging as a comprehensive framework for various financial activities. The article explores their evolution, features, and applications, emphasizing their importance in modern financial ecosystems.

There’s likely to be a number of articles on TBC 2020 which, by all accounts, was a huge success and

These are challenging times to be a CISO. As geopolitical tensions and business uncertainty mount, threat actors are leveraging AI

The “Best of Nonstop” end of the year review is a time to think about what we accomplished this year

I’d like to make a reservation; I’d like to make an appointment; I’d like to place an order…  I used

HPE’s introduction of Kernel Level Threads (KLT) on the Nonstop platform marks a strategic modernization of its threading architecture—realizing a

This year, organizations around the world faced accelerating threats to their essential data, new emerging regulations (such as DORA), and