CA Technologies and Unisys Corporation have extended their alliance to offer joint solutions that accelerate the path from virtualization to the cloud. The solutions will combine CA Technologies virtualization management, service automation, and service management products with Unisys’ virtualization and cloud advisory, planning, design and implementation services.
The first solution, available today in North America, is designed to help organizations overcome “virtual stall” – the complications that can arise from enterprise virtualization projects. This is a significant challenge for enterprises – both in their existing data centers and as they evolve their infrastructure toward cloud computing.
This joint solution also represents a major step in Unisys’ strategy to help enterprise customers implement cloud computing to extend their data-center capabilities while continuing to leverage existing IT investments.
When virtualizing IT environments on their way to the cloud, organizations often run into challenges after about 30 or 40 percent of deployment has taken place, due to factors such as added complexity, staffing requirements, service level agreement (SLA) management, and departmental politics. This “virtual stall” can significantly delay the realization of key benefits of virtualization such as infrastructure responsiveness and availability and cost reduction.
The joint CA Technologies-Unisys solution blends CA Technologies service catalog, process automation, self-service provisioning, configuration management, and charge back/accounting capabilities, with Unisys’ expert advisory, planning, design and implementation services. This combination of technology and services gives customers a better way to provision, control, secure, and optimize complex multivendor IT environments.
CA Technologies and Unisys plan to expand the range of solutions they offer to help customers create private, hybrid and public clouds by providing unified management of physical and virtual environments, along with automation that spans IT domains and critical IT service management processes.
The Latest
In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...
In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...
Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...
In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...
Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...
App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...
Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...
As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...
The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...
A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...
