omnivision: physical and virtual systems capacity management

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Organizations are striving to operationalize theirapproach toward managing capacity for bothvirtual and physical server investments. Inorder to operationalize the growing complexityof their server environments, IT operationsteams face an important challenge: providingsufficient IT capacity to meet the demands ofthe business at all times while keeping costsand operational efficiencies under control.Unfortunately, the traditional non-scientificmethod of assessing and managing capacity fora few servers, falls short of the intelligence,analytics, and scalability required to properlyand quickly assess environments extendingbeyond 100 virtual or physical servers.

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OmniVision and Capacity Management

White Paper September 2008

Copyright 2008 Systar. All rights reserved.

AbstractOrganizations are striving to operationalize their approach toward managing capacity for both virtual and physical server investments. In order to operationalize the growing complexity of their server environments, IT operations teams face an important challenge: providing sufficient IT capacity to meet the demands of the business at all times while keeping costs and operational efficiencies under control. Unfortunately, the traditional non-scientific method of assessing and managing capacity for a few servers, falls short of the intelligence, analytics, and scalability required to properly and quickly assess environments extending beyond 100 virtual or physical servers. Hardware investments are often 50% of an IT organizations annual budget. Because the investment is so substantial, IT organizations and their management teams are under constant pressure to: rationalize new purchases; maintain the right level of staff expertise to manage the environment; ensure the right management tools and processes are in place to provide proper levels of visibility and control; and optimize service performance in the existing landscape.

This paper discusses how OmniVision capacity management software addresses these challenges by providing clear insight to ITs preparedness to successfully meet the business demands across the ever-changing virtualized and physical server landscape. This paper not only explorers how OmniVision can be used to manage capacity across the entire server, but how it also facilitates the capacity management process. Organizations today rarely have the time or expertise to introduce new ITIL practices like capacity management. To accelerate adoption of industry best practices for capacity management, OmniVision has automated the processes and analysis sought by IT Operations Managers and System Administrators. Although OmniVision is well suited for experienced capacity planners, it is also a powerful solution for non-specialists. Discussions include details on OmniVisions functionality. This white paper describes the features and functionality of OmniVision Version 5.9.2.

Copyright 2008 Systar. All rights reserved.

Table of ContentsOmniVision Methodology ...........................................................................................................4 OmniVision Architectural Basics ................................................................................................5 OmniVision Metrics ....................................................................................................................5 Capacity Management: Quality Reports.....................................................................................6 Introduction to Quality Reports...............................................................................................6 Quality Reports as a Guide to Capacity Issues...................................................................7 Quality Incidents.................................................................................................................7 Quality Severity ..................................................................................................................7 Capacity Management: Resource Reports.................................................................................7 Introduction to Resource Reports...........................................................................................7 Resource Reports Classification System............................................................................8 Resource Reports as a Guide to Capacity Issues ..............................................................8 Capacity Management: Virtual Capacity Reports .......................................................................9 Introduction to Virtual Capacity Reports .................................................................................9 Virtual Capacity Trends and Forecasts...................................................................................9 Virtual Capacity Reports as a Guide to Capacity Issues.......................................................10 Capacity Management: Virtualized Performance Reports ........................................................10 Introduction to Virtualized Performance Reports ..................................................................10 Virtualized Performance Metrics...........................................................................................11 Virtualize Performance Reports as a Guide to Capacity Issues............................................11 Summary .................................................................................................................................11 Component-In-A-Haystack Management .............................................................................11 OmniVision Domains of Value for Capacity Management ....................................................12

Copyright 2008 Systar. All rights reserved.

OmniVision MethodologyOrganizations have both budgetary and service quality reasons to "right size" their resources against demands from the business and its key stakeholders. OmniVision addresses these issues by focusing on overload risks across the entire IT enterprise. Managing capacity can be achieved on a granular level focusing on individual elements within the IT infrastructure, but is even more powerful when applied to the IT server environments as a whole. At a macro level, managing capacity aids IT managers in rationalizing new and optimizing current investments, prioritizing staff assignments, communicating priorities objectively to key stakeholders, and finding the proper balance of a complex array of assets used to deliver a better quality of service. At the granular level, managing capacity to minimize overload risk is a logical, automated extension of the methods used in past decades, before the scale of the IT enterprise became the limiting factor in that approach. One basic premise of capacity management is to understand the balance of supply and demand that equates to risk levels. A resource is at risk of saturation when the amount of work placing demands on the resource exceeds its ability to respond optimally. As the imbalance between the demand and the ability to respond becomes greater, the risk for saturation of that resource increases. OmniVision is a capacity management software solution built specifically for the management of hundreds to thousands of virtualized or physical systems within a distributed infrastructure. OmniVisions powerful analytics are able to constantly assess performance, availability, and capacity saturation risks across the data center something that is impossible to achieve through manual calculations or traditional enterprise performance reporting tools. In virtualized environments, OmniVision capacity management focuses not only on the host systems, but also on virtual partitions, pools, clusters, and datacenters. OmniVision's approach is to minimize all aspects of system saturation risk by staying in

front of capacity issues without jeopardizing any of the benefits from proactive management. OmniVision accomplishes this in two ways. The first is achieved by distilling the fundamentals of capacity management's best practices into a multi-level algorithmic approach that distributes a certain amount of detection and intelligence across the infrastructure. The objective of this method is to isolate and identify the risks of saturation or performance degradation for any resource individually as well as within the context of the enterprise as a whole. The second pertains to delivering comprehensive, intuitive, and automated analysis to managers and staff that often do not have the time or skills to contribute to lengthy data collection, analysis, and interpretation efforts. OmniVision provides best-in-class capacity analysis for nonspecialists and capacity management experts alike. The OmniVision approach codifies the type of analysis that a skilled performance or capacity analyst performs, sometimes without conscious thought. If you present an experienced analyst with a set of performance indicators, evolving over time, they can determine the level of risk of saturation shown by the indicators. OmniVision can perform this same level of analysis, automatically, on thousands of systems and then provides the results in a series of easily managed web-based reports. There are a few means by which OmniVision presents its analysis of capacity and performance: Quality Reports Resource Reports Virtualized Capacity Reports Virtualized Performance Reports

Understanding the OmniVision approach to capacity management requires an understanding of the basic structure of OmniVision, the application of performance and saturation metrics and the methodology behind the evaluations in each type of report offered. The sections that follow will discuss how each type of OmniVision report guides IT operations managers through common capacity management issues.

Copyright 2008 Systar. All rights reserved.

OmniVision Architectural BasicsSeen at the elementary level, OmniVision has a three tier architecture. The first tier is responsible for the analytic evaluation and risk determination of data collected from each virtualized or physical system being monitored in the environment. At this tier, OmniVision collectors are assigned to each system or virtual machine. These collectors gather capacityrelated information on a multiple times each minute. Hundreds of low-level, system-specific technical data points are used to construct a few normalized measurements used in analytic evaluations and risk determination. Data from heterogeneous systems

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