Avoiding The 9 Common Hazards Of App And Desktop Virtualization

whitePaper | August 15, 2022

Cloud security truly is a team sport that requires strong collaboration between security, IT and line of business teams. The dynamic nature of cloud is forcing information security teams to rethink how they operate and partner with other groups to address emerging security and compliance challenges their organizations face

whitePaper | April 27, 2022

As virtual environments scale, understanding how each virtual machine impacts the underlying infrastructure becomes a necessity for efficient data center design and timely issue diagnosis. Capturing this information, however, typically requires complex and costly manual processes. These issues are often particularly challenging across the network, generating a “fog” that hides data congestion and impedes identifying a resolution.

whitePaper | February 15, 2022

Cybersecurity is a top concern at the highest levels of government and industry worldwide. More than ever, government and corporate leaders – from Senators and Members of Parliament to CEOs and Board Directors – are deeply engaged in ensuring effective cybersecurity strategies are in place at government agencies and companies.

whitePaper | December 22, 2021

Choosing the CPU for enterprise applications is not an easy task, whether you use a simple quick calculation to determine your needs or perform exhaustive capacity planning with analytical model simulations for workloads and their future growth. Often, lack of details (or inaccurate information) about the input data and the workload type leads to uncertain estimations about the rightsizing of the hardware (CPU type, core count and clock speed, memory capacity, etc.), leading to suboptimal resource utilization.

whitePaper | January 7, 2020

Intel Page Modification Logging (PML) is a novel hardware feature for tracking virtual machine (VM) accessed memory pages. This task is essential in today’s data centers since it allows, among others, checkpointing, live migration and working set size (WSS) estimation. Relying on the Xen hypervisor, this paper studies PML from three angles: power consumption, efficiency, and performance impact on user applications. Our findings are as follows. First, PML does not incur any power consumption overhead. Second, PML reduces by up to 10.18% both VM live migration and checkpointing time. Third, PML slightly reduces by up to 0.95% the performance degradation on applications incurred by live migration and checkpointing.

whitePaper | February 23, 2022

Enterprise organizations are looking to embrace artificial intelligence (AI). In fact, in the past 12-18 months, many organizations are already well on their way down the AI path and most are struggling with how to operationalize it at production scale. They want to benefit from the game-changing and transformative benefits that can be realized from AI. A key component of embracing AI is arming data science teams with tools that enable timely success in achieving their AI goals.