As more organizations prepare for and deploy hosted virtual desktops, it has become clear that there is a need to support two related but critical phases. The first is to inventory and assess the physical desktop environment in order to create a baseline for the performance and quality of the user experience for the virtual desktop counterparts. When planning and preparing, organizations would like to know which desktops, users and applications are a good fit for desktop virtualization and which ones are not. The second phase is to track the virtual desktops in production in order to proactively identify when performance and user experience does not meet expectations, as well as to continue to refine and optimize the desktop image and infrastructure as changes are introduced into the environment.
Because virtual desktops live on shared systems, the layers of technology make it more complex to measure and classify fitness and user experience. But with increased industry knowledge and the emergence of best practices, plus new purpose-built products such as Liquidware Labs’ Stratusphere FIT and Stratusphere UX, it is now possible to more accurately measure and classify both fitness and user experience. This white paper covers these best practices and provides an introduction to the VDI FIT and VDI UX classification capabilities in Stratusphere FIT and Stratusphere UX.
In this 136-page study guide Jason and Josh cover all seven
of the exam blueprint sections to help prepare you for the VCP exam.
Free VCAP5-DCA Study
Massive changes are occurring to how applications are built and how they are deployed and run. The benefits of these changes are dramatically increased responsiveness to the business (business agility), increased operational flexibility, and reduced operating costs.
The environments onto which these applications are deployed are also undergoing a fundamental change. Virtualized environments offer increased operational agility which translates into a more responsive IT Operations organization. Cloud Computing offers applications owners a complete out-sourced alternative to internal data center execution environments. IT organizations are in turn responding to public cloud with IT as a Service (IaaS) initiatives.
For applications running in virtualized, distributed and shared environments, it will no longer work to infer the “performance” of an application by looking at various resource utilization statistics. Rather it will become essential to define application performance as response time – and to directly measure the response time and throughput of every application in production. This paper makes the case for how application performance management for virtualized and cloud based environments needs to be modernized to suit these new environments.
In large IT organizations, monitoring tool sprawl has become so commonplace that it is not unusual for administrators to be monitoring 10 to 50 solutions across various departments.
Unified monitoring solutions like Zenoss offer a cost-effective alternative for those seeking to rein-in monitoring inefficiencies. By establishing a central nerve center to collect data from multiple tools and managed resources, IT groups can gain visibility into the end-to-end availability and performance of their infrastructure. This helps simplify operational processes and reduce the risk of service disruption for the enterprise.
This paper can help you make an effective business case for moving to a unified monitoring solution. Key considerations include:
• The direct costs associated with moving to a unified monitoring tool• The savings potential of improved IT operations through productivity and efficiency• The business impact of monitoring tools in preventing and reducing both downtime and service degradation
Download the paper now!
DataCore Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.Download this white paper to learn about:
• The technical aspects of DataCore’s Virtual SAN solution - a deep dive into converged storage• How DataCore Virtual SAN addresses IT challenges such as single points of failure, poor application performance, low storage efficiency and utilization, and high infrastructure costs.• Explore possible use cases and benefits of DataCore’s Virtual SAN
This IDC vendor profile analyzes Cirba’s Software-Defined Infrastructure Control with workload aware predictive analytics.
“Customers interviewed by IDC credit Cirba with helping them substantially reduce infrastructure and software licensing costs by improving the density of their environments without compromising application and workload performance.”
applications, especially within virtualized environments, require high
performance from storage to keep up with the rate of data acquisition
and unpredictable demands of enterprise workloads. In a world that
requires near instant response times and increasingly faster access to
data, the needs of business-critical tier 1 enterprise applications,
such as databases including SQL, Oracle and SAP, have been largely
The major bottleneck holding back the industry is I/O performance.
This is because current systems still rely on device -level
optimizations tied to specific disk and flash technologies since they
don’t have software optimizations that can fully harness the latest
advances in more powerful server system technologies such as multicore
architectures. Therefore, they have not been able to keep up with the
pace of Moore’s Law.
On closer examination, we find the root cause to be IO-starved
virtual machines (VMs), especially for heavy online transactional
processing (OLTP) apps, databases and mainstream IO-intensive workloads.
Plenty of compute power is at their disposal, but servers have a tough
time fielding inputs and outputs. This gives rise to an odd phenomenon
of stalled virtualized apps while many processor cores remain idle.
So how exactly do we crank up IOs to keep up with the computational
appetite while shaving costs? This can best be achieved by parallel IO
technology designed to process IO across many cores simultaneously,
thereby putting those idle CPUs to work. Such technology has been
developed by DataCore Software, a long-time master of parallelism in the
field of storage virtualization.
In this paper, we will discuss DataCore’s underlying parallel
architecture, how it evolved over the years and how it results in a
markedly different way to address the craving for IOPS (input/output
operations per second) in a software-defined world.