Xangati Service Assurance Analytics & Cisco Virtual Experience Infrastructure (VXI) Smart Solution

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1 Xangati Service Assurance Analytics & Cisco Virtual Experience Infrastructure (VXI) Smart Solution May 2015

2 WHAT YOU WILL LEARN Xangati and Cisco have partnered together to validate Xangati s VDI Suite dashboard software in Cisco s XVI Smart Solution for both Citrix XenDesktop and VMware View. This white paper focuses on how Xangati s service assurance analytics solution is deployed and integrated within the Cisco XVI framework. Additionally, it will highlight the operational benefits for an IT organization to have a turnkey virtual appliance (with no desktop agents) that explicitly tracks the end-to-end performance of a VDI environment with Xangati s predictive analytics engine to ensure an optimal Cisco VXI user experience. INTRODUCTION Cisco s Virtualization Experience Infrastructure (VXI) Smart Solution accelerates the successful adoption of the virtual workspace by offering an open and validated virtual desktop, voice and video solution. Cisco VXI increases business efficiency, productivity and agility by delivering an exceptionally flexible and secure workspace solution with uncompromisable user experience, anywhere and on any device. Cisco VXI builds on Cisco s datacenter, network and collaboration technologies, combined with services and support to deliver a comprehensive solution that simplifies deployment and minimizes implementation risk. With Cisco VXI, you can take advantage of an architectural approach that delivers new virtual workspace services, while lowering operational costs. Xangati is a Cisco-validated innovation leader in IT performance management solutions for virtualization and cloud environments. Xangati has worked with Cisco to integrate its solution into Cisco VXI. Organizations that deploy Xangati improve the service assurance of their virtual environments through a software suite that proactively tracks and correlates interactions among crosssilo performance health live and to the second. Xangati s patented in-memory performance management engine is at the heart of the solution s ability to quickly identify contention issues (e.g., VM boot storms, IOPS degradation) that can spontaneously affect the user experience. Xangati s VDI dashboard provides administrators immediate actionable insights about the cause of a contention storm and help IT remediate the problem before users notice any performance impact. Xangati s solution is framed by a live streaming web user interface (WUI) with the ability to record and replay all activity in the infrastructure. CHALLENGES WITH MANAGING VDI The last result a VDI admin wants to see is trading a configuration management issue for a performance problem. To that end, it is of paramount importance that the organization responsible for the Cisco VXI service benefits from continuous insights into the real-time performance health of their entire infrastructure. It is also imperative that there be a single solution that can track the interactions among diverse domains in a way that functional teams can work together to deliver optimal performance to Cisco VXI end users. Xangati s VDI dashboard meets these requirements by being the only solution built to gather live and continuous insights about network, server, storage, hypervisor, end-user and VDI session protocol activity and to present the associated data in one holistic dashboard. HOW XANGATI S VDI DASHBOARD INTEGRATES WITH CISCO VXI SMART SOLUTION Xangati s software solution deploys as an open virtualization format (OVF) virtual appliance that installs through VMware s vcenter as a vsphere VM. The Xangati virtual appliance has an integrated OS, database and Xangati s in-memory performance optimization engine that allows an IT organization to deploy a turnkey implementation that will be up in running in their Cisco XVI environment in under an hour. A single Xangati virtual appliance can manage thousands of desktops and multiple vcenters, which is critical in large-scale Cisco VXI environments. For set-up details, watch this Xangati installation video: 2

3 The Xangati approach is unique in the VDI performance management market in that it processes exclusive insights from preexisting data feeds and APIs within the Cisco VXI environment that allow Xangati to track both infrastructure performance and end-user activity (even in non-persistent desktop environments). This lightweight model is the ideal alternative to agent-based instrumentation approaches, which are known to introduce additional complexity to desktop images and create a tax on the hardware infrastructure by reducing the desktop VM density on Cisco UCS. Figure 1 illustrates the various data feeds that the Xangati virtual appliance leverages to continuously analyze the performance of critical elements within the VXI environment. Xangati processes these disparate cross-domain data feeds continuously via its in-memory performance management engine, which has a four-microsecond object handling time. The microsecond-level capabilities of the Xangati system have two critical functional benefits. First, the system sees granular time resolution relative to the information that the system processes about the environment, allowing Xangati to immediately identify transient and spontaneous performance storms. Second, Xangati maintains this granular time resolution at great scale with the ability to track up to 250,000 objects within the Cisco XVI environment via a single virtual appliance. Figure 1: Highlights where the Xangati VDI Dashboard interacts with the VXI environment to gather its insights. In terms of capturing data feeds from the Cisco elements within the VXI environment, the Xangati solution makes good use of the unique interactional insights that come from Cisco s NetFlow protocol. The NetFlow protocol is effectively pushed on a continuous basis to the Xangati virtual appliance by elements within the Cisco Nexus switch family. The Cisco nexus 1000V and 1010 virtual switching solutions provide continuous insight about networked activity traversing the VMware vsphere environment. In addition, the nexus 5000 and 7000 series core switches provide insight on networked interactions between the desktop virtualization environment and key back-end application and IP storage activity. Overall, Xangati s ability to track second-by-second activity across the network allows the VXI administrator to understand the aggregate workload of VDI protocols such as HDX or PCoIP. This is critical information for optimizing desktop protocols across LAN and WAN connections. Moreover, Xangati leverages Cisco s IP SLA protocol to measure critical site-to-site performance metrics and offer a methodology for service assurance analytics. Xangati displays detailed insights on when network latency or packet loss 3

4 are directly affecting Cisco VXI users in a remote office. This is critical intelligence for environments whereby users are, for example, on another continent from their desktops in a centralized data center. Xangati also gathers key performance insights from other components of the Cisco VXI Smart Solution. VMware vsphere s APIs provide rich information about both compute and datastore performance. Although, there are a number of solutions that also leverage information from vsphere s vcenter, there are a couple of capabilities that distinguish Xangati s model. The first is that Xangati s in-memory and correlation architecture allows Xangati to grab vsphere s real-time statistics out of the RAM of the vcenter server for every object/metric that Xangati tracks. This allows Xangati to have a time resolution of seconds for vsphere statistics whereas other solutions will grab information from vcenter on 5-minute, coarse-grain averages. Second, the Xangati solution gathers interactional insights for every consumptive performance metric it gathers. For instance, when Xangati gathers a datastore latency number for a specific LUN, at the same time it also grabs information about every VM interacting with that LUN at that moment in time and at what input/output operations per second (IOPS). This allows Xangati to correlate how transient interactions affect system performance. Xangati sees below the infrastructure level to gather rich desktop OS and VDI session level information as well. Through the Microsoft Windows Management Interface (WMI) protocol, Xangati is able to interact with both Microsoft Windows and Citrix or VMware s VDI agent on both an ad-hoc and an event driven basis. This approach is highly beneficial to customers because it provides a rich end-user level experience insight without having to embed an agent within the desktop image. This information allows service desk employees to see which application is adversely affecting the CPU resources of the desktop VM, or alternatively, to identify that there is something happening at an HDX or PCoIP level causing a desktop tiling issue. Figure 2: Xangati VDI Dashboard with Performance Health Index XANGATI VDI SUITE DASHBOARD Service desk virtualization administration, storage administration and network administration personnel must work together to manage and optimize the performance of a Cisco VXI environment. The Xangati VDI dashboard provides a highly responsive, intuitive UI that can be structured so each silo administrator can have context as to how their resources are affecting the performance of other areas of the infrastructure. 4

5 By tracking dynamic physical and virtual interactions with cross-silo visibility, the Xangati VDI dashboard continuously analyzes the infrastructure for transient performance fluctuations that indicate performance storms in the environment. Adding further operational value to the Xangati approach, the live, streaming UI provides a digital video recorder (DVR) scroll-bar available in every view. This scroll bar enables second-by-second past and present visualization into cross-silo interactions. The DVR recording function is automatically triggered when any performance storm affects the infrastructure that shows all the activity adversely affecting end-user performance and will show all the interactions affecting the user at a moment in time. For example, if the user s desktop is driving much more CPU activity than normal and negatively affecting its own performance, the recording will reveal the guest-level process driving this CPU contention storm. With that insight, the Cisco VXI administrator will be able to contact the end user and stop the offending process on the desktop. Administrators who need to relay critical information across the organization can also manually trigger recordings. For instance, if an end user is experiencing PCoIP packet-loss over the wireless network, the recording can be forwarded to the network administrator to dig into the details using network specific monitoring tools. To review the functionality of the Xangati VDI dashboard, watch this video: To configure the VDI dashboard to individual specifications, watch this video: THE PERFORMANCE MANAGEMENT ENGINE Xangati s in-memory performance management engine establishes an architectural foundation that differentiates Xangati s software from sluggish disk-driven alert monitoring solutions. Xangati continuously processes data feeds it tracks from across the VXI. This engine collects, collates, verifies performance health, and visualizes metrics and interactions for every object (e.g., VM, LUN) that it is tracking. The system processes insights about each object every second with a handling time of four microseconds. A handling time measured in microseconds ensures that the Xangati solution can scale to even the largest Cisco VXI environments without any sacrifice in precision or in the responsiveness of the UI. This precision model of data gathering and analysis is in harmony with the real-time nature of the various communication protocols leveraged with the VXI. Xangati is the only solution able to identify transient performance storms sweeping into an environment and to begin recording their impact because Xangati tracks the environment with an unparalleled level of precision. In contrast, legacy alert monitoring solutions gather data averaged over lengthy time intervals ranging from five to 15 minutes. TRACKING PERFORMANCE HEALTH THROUGH SYSTEM-LEARNED PROFILES Xangati leverages a combination of system-learned profiles and industry-recognized best practices to fully understand Cisco VXI performance. Xangati s system-learned profiles continuously react to the operational environment in which it is deployed. Xangati develops performance profiles across dozens of metrics for every object that it is tracking whether that is a VM, an end user, a VDI protocol, a datastore or a hypervisor host. These profiles evolve as the environment evolves. Moreover, the profiles reflect the periodical nature of a given environment, and provide a different profile for key VDI login hours in the morning when compared with user activity after the formal close of business. These system-learned profiles are particularly useful in tracking the health of key workload metrics like storage and network I/O that in general can vary greatly depending on VDI end-users and the roles they serve within the organization At the same time, Xangati also uses best practices thresholds for a number of critical metrics that are indicators of infrastructure contention such as CPU ready, storage latency and network latency. The Xangati performance management engine is continuously comparing the profiles and thresholds against live activity for every object to determine which objects within the Cisco VXI environment are entangled in performance storms. Moreover, because the best practices thresholds can be leveraged instantly upon install, Xangati software can be deployed immediately in an environment to identify the areas of impact of a performance storm as well as the cause. 5

6 THE IMPORTANCE OF TRACKING INTERACTIONS Effective performance management in a virtualized world requires understanding how the actions of one object impact another. If there is a problem with one object, you need to be able to see which other object interacts with it and could be causing the problem. Accomplishing this requires analytics that can detect and show that a CPU spike relates to a certain interaction between two VMs. Xangati s unique ability to understand interactions helps admins point directly to root-cause. Unlike legacy alert trending solutions, Xangati delivers accelerated troubleshooting capability through tracking and analyzing interactions for all the consumptive metrics it gathers. The virtualization environment fluctuates constantly, and the interdynamics of objects at a given moment vary widely from configured relationships. Knowing these short-term interactions is fundamental to problem identification in a world of non-persistent desktops where a user logs into a different desktop from a different location with each access. It is only with the interactional information that a Cisco VXI administrator would know at any moment which VM is causing a datastore contention storm and which users are impacted. In an increasingly complex and diverse virtualized environment, IT administrators must know about every object in the infrastructure, how they behave and interact with each other in a live and continuous fashion to a scale of hundreds of thousands of objects. ANALYZING ROOT CAUSE THROUGH THE XANGATI VDI DASHBOARD The Xangati VDI dashboard delivers automated analysis that accelerates time-to-problem resolution by clearly identifying the cause of a problem and the extent of its impact. Solving infrastructure issues begins when the system automatically notifies an administrator about a performance storm in the environment. Notification is sent through an or an SNMP trap and links the administrator to the Xangati VDI dashboard. Xangati s dashboard clearly delineates for the administrator what type of storm or potentially multiple storms that are affecting the environment. The most common storms that affect Cisco VXI environments are CPU contention storms and storage contention storms. For the sake of this example, we will focus on a CPU contention storm. An administrator can rapidly dig into the details on specific CPU contention storms by generating a storm analysis report (Figure 3): Figure 3: Storm Analysis Report 6

7 Xangati s dashboard outputs this storm analysis report after complex heuristics have leveraged the interactional awareness of the system. To that end, the system searches for storm patterns and will identify if the contention storm is due to a host compute capacity issue, a scheduler issue or simply an errant VM driving significantly more resources than its previous norm. In the case of the storm analysis in Figure 3, the notification highlights that a dozen VMs are entangled in a contention storm as indicated by a high CPU ready state (CPU ready is a vsphere metric that reflects a VM s wait time for CPU access). The systemgenerated analysis goes on to show that a specific VM NEWAPP_VM is expressly responsible for this performance storm. Xangati s heuristics algorithms have highlighted this VM because it is driving much more CPU activity than its performance profile, and it is doing so at a level that is disproportionate to the other VMs that are entangled in this CPU contention storm. Now that the system has specifically flagged the NEWAPP_VM as the one to investigate, the system aids an administrator s workflow by providing an alert recording for this specific VM (Figure 4). Figure 4: Alert Recording The metric in Figure 4 high-lighted in orange notes that CPU usage is well above the best practice threshold and its performance profile. The Xangati VDI Dashboard allows the administrator to investigate one level deeper by providing WMI capabilities to present the top processes driving CPU, Memory and I/O. Alert recordings are effectively a streaming UI view that captures the complete activity of the desktop VM for the duration of a problem state. The recording captures all critical performance metrics for that VM and indicates which metrics are above either their performance profiles or best practices thresholds. The metric in Figure 5 highlighted in orange notes that CPU usage is well above the best practice threshold and its performance profile. The Xangati VDI dashboard allows the administrator to investigate one level deeper by providing WMI capabilities to present the top processes driving CPU, memory and I/O. The Windows System Viewer window provides a drill down within an alert recording (see Figure 5), which allows the administrator to rapidly assess which process is driving the CPU at the guest level which then has a cascading impact on the hypervisor/host. In this case, there is a process called wscript, which is grabbing 100% of the CPU and is clearly responsible for the performance shift in the converged infrastructure. If the administrator is going to remediate the environment from the storms, he can stop that process. The end result of Xangati s automated insights is clear detail on what the problem is, where it is being caused in the infrastructure and even the precise insight on what should be done to make the CPU contention storm go away. 7

8 Figure 5: Xangati s Window System Viewer Embedded within an Alert Recording In this case, there is a process called wscript, which is grabbing 100% of the CPU and is clearly responsible for the performance shift in the converged infrastructure. INTEGRATING INTO EXISTING IT OPERATIONS ENVIRONMENTS Xangati s VDI dashboard integrates with and enhances the current operational management solutions in place within an enterprise. Xangati s solution supports a number of mechanisms that allow it to share its insights with pre-existing manager of manager (MoM) solutions like Microsoft Systems Center Operations manager that are run n a company s network operations center (NOC). For example, a Xangati storm event notification can be sent up to the MoM via a SNMP trap, which will inform the NOC team that there is a performance storm in the infrastructure, that is at risk of affecting end-user experience. From there, the NOC administrator can jump into the Xangati UI to look at the alert recording to see what caused the issue. For instance, if there is a datastore contention storm driving up storage latency, the admin can forward the recording to a storage administrator who has his or her own storage element manager that allows him or her to take the admin analysis one level deeper. In addition, the Xangati VDI dashboard readily ties in with a service desk infrastructure. The component of the Xangati solution that provides this capability is the Visual Trouble Ticket (VTT) portal (see Figure 6). The VTT portal is flexibly designed to integrate with a service desk self-help portal page from all market-leading solutions like BMC Remedy and other incident management systems. The service desk organization can leverage VTT to enrich the incident management process that is already in place. The process begins when an end-user is experiencing performance issues (e.g., slow login times, desktop tiling) and then fills out the VTT submission page. The create button triggers a ticket within the service desk software and begins recording all the critical activity the service desk needs to know about what s affecting that user s desktop experience. The end-user driven DVR recording will automatically show up in a hyperlink appended to the service desk ticket and therefore will be available to anyone triaging the enduser issue. That recording has rich information about the converged infrastructure interactions affecting the desktop; it shows the health of the VDI session protocol, i.e., HDX or PCoIP, and also displays the top processes driving the desktop Microsoft Window OS. In this manner, the service desk agent has all the critical information needed to triage the virtual desktop experience. If the cause of the desktop experience issue is infrastructure related then the ticket can be assigned to a higher tier in the escalation chain. 8

9 Figure 6: The Visual Trouble Ticket Portal Without these recordings, the incident management process for VDI is insufficient because written notes in a service desk ticket describing an end-user experience issue cannot capture the infrastructure dynamics affecting that end user at that exact moment in time. With the recordings, the organization has the facts to triage the user issues. PROACTIVELY MANAGING INFRASTRUCTURE CAPACITY Xangati s VDI dashboard extends its real-time performance insights into a seamless understanding of how short-term fluctuations affect long-term system capacity and summarizes that in a capacity health score. Xangati trends capacity over time for CPU, memory, disk, network and will predict when additional capacity needs to be added for any of these resources. The power of this predictive capability is that the administrator will know with ample warning when he should, as an example; turn on new compute workload capacity through UCS manager or when to add more disk capacity to his NetApp storage array. Additionally, the Xangati system s StormTracker function uniquely correlates performance storms to capacity saturation. If there is a high correlation between performance issues and capacity saturation, Xangati provides Cisco VXI administrators with the clear business case to add incremental hardware capacity to the environment. Given that every environment has financial constraints, this blend of performance and capacity management helps an organization know where it should apply its budget first. Xangati clearly presents these insights in reports that detail out the most severe storms linked to capacity saturation. As a result, the Cisco VXI team can be assured that they are right-sizing capacity for the user workload. 9

10 Figure 7: VDI Capacity Health Index Screen BENEFITS OF THE COMBINED XANGATI AND CISCO VXI SMART SOLUTION Cisco s VXI Smart Solution combined with the Xangati VDI dashboard provides an architectural framework that delivers the best virtual desktop experience on the market. The high performance and resiliency of Cisco VXI combined with continuous health tracking of the environment with Xangati ensures predictive performance for the end-user community. This proactive stance delivers a better performing, optimized virtual desktop than was previously available with a physical desktop computing environment. Moreover, the combined solution allows organizations to rapidly scale their implementations. A combined Cisco VXI and Xangati solution accelerates end-user acceptance and VDI adoption by eliminating performance-degrading storms. As a result, the desktop virtualization team will have executive support to scale up their implementation across the organization and enjoy the significant surges in productivity Cisco VXI computing offers. For example, BYOD users accessing their full enterprise application suite means that they can get critical tasks completed from anywhere at any time. In addition to the productivity gains, IT organizations are seeing substantial reductions in OPEX. SUMMARY: SERVICE ASSURANCE ANALYTICS DELIVER OPTIMAL END-USER EXPERIENCE Xangati allows administrators to instantly identify storms and fix them before they have an adverse impact on the Cisco VXI user community. With the continuous tracking of performance health across the Cisco VXI environment, Xangati provides organizations an immediate ROI by enriching existing service management processes. The incident management process is significantly improved by capabilities such as VTT recordings and how they integrate with the service desk. The problem avoidance process is similarly bolstered by the system s ability to proactively track storms and provide instant notification as opposed to providing post mortem reports. interrogated using WMI/SSH and their Guest OS details visualized in synchrony with all the other metrics. Xangati is a leading virtualization performance monitoring and service assurance analytics innovator serving complex virtualized data centers and hybrid cloud environments. Over 400 customers among enterprises, government agencies, healthcare organizations, educational systems and cloud managed service providers trust Xangati to gain real-time insights into the performance of their virtual machines, Web applications and virtual desktop infrastructure environments, as well as underlying network, storage and compute components. Xangati management dashboards, built on patented in-memory architecture, provide a live, continuous and interactional view into the entire IT infrastructure with predictive analytics and prescriptive remediation actions. Organizations such as Comcast, British Gas, Colliers, Harvard University and the U.S. Army, have leveraged Xangati to resolve end-user issues more quickly, optimize virtual applications, diagnose root causes of contention storms and assure overall infrastructure health. Xangati is headquartered in Silicon Valley and can be found at Phone: +1 (408) Sales Inquiries: sales@xangati.com Support: support@xangati.com Additional Resources: Fully-Functional 14-Day Free Trial:

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