Workload & resource optimization

Reaching the Summit: The next milestone for HPC

AI, Big data & analytics, High-performance computing...

The high-performance computing landscape is evolving at a furious pace that some are describing as an important inflection point, as Moore’s Law delivers diminishing returns while performance demands increase. Leaders of organizations are grappling with how to embrace recent system-level innovations like acceleration, while simultaneously being challenged to incorporate analytics into their HPC workloads. On more

Tackling technical risk in ISV application migrations – Part 1

Data centers, IBM Systems Lab Services, Modern data platforms...

Among the list of common migration worries that organizations face, technical risk is always near the top, and the potential technical challenges of a migration vary depending on the type of migration. In this post, I’ll cover the common concerns when migrating Independent Software Vendor (ISV) applications to a new platform. Migrating ISV applications Here more

Pt 2: Bringing data protection into the cognitive era

Big data & analytics, Cloud computing, Data centers...

This is part two of a three-part blog post series on innovations in data protection. Read part one on the evolution of data protection here. Part two: Snapshots, snapshot management and automation– the next step in data protection Snapshots are used as a means to recover a storage array to a point when the last more

Bringing data protection into the cognitive era

Big data & analytics, Cloud computing, Data centers...

This is part one of a three-part blog post series on innovations in data protection. Read part two here and part three here. Part one: The evolution of data protection Data protection has been a critical process for safeguarding information since the day these systems were developed. Just how data is protected has continually evolved more

Flash deployments growing their presence in data centers and in the cloud

AI, Blockchain, Data centers...

Three years ago, it was virtually impossible to deploy an all-flash data center or an all-flash storage portfolio. Flash was being leveraged in storage arrays and in systems, but it was not widespread by any means. This has changed. Today, flash storage is seen as an integral part of the enterprise data center, and the more

Serving customers better with cognitive storage

AI, Cloud computing, Storage...

IBM recently announced plans to add new artificial intelligence (AI) functionality to its cloud-based storage management platform, IBM Spectrum Control Storage Insights. The new cognitive capability will stream device metadata from IBM Storage systems to the cloud, augmenting human understanding with machine learning insights to help optimize the performance, capacity and health of clients’ storage more

People: The secret sauce in IBM Z

Big data & analytics, Encryption, Mainframes...

The secret to the IBM Z mainframe’s success might not be immediately apparent. But look behind its groundbreaking features and you’ll find a global network of collaboration, from system developers in Poughkeepsie, New York, to board designers in Böeblingen, Germany. They are working directly with our clients to ensure that critical requirements are being captured. more

IBM’s all-flash innovation continues

Flash storage, Storage, Workload & resource optimization

Flash storage has come a long way. A few years ago, only about a third of enterprises worldwide had deployed flash storage solutions. By next year, nearly 80 percent of enterprises will be using flash in some form.[1] And industry analysts expect that by 2020, all-flash arrays will drive more than 70 percent of all more

IBM’s new Linear Tape Open (LTO) tape drives

Big data & analytics, Internet of things, Storage...

Combining smart economics with performance and data security The methods with which company leaders treat the data under their purview is fast becoming synonymous with their guiding principles. This critical business data usually includes information about partners and customers, as well personal details about employees. How information is processed, analyzed and kept has become so more