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© 2010 VMware Inc. All rights reserved VMware vCenter Operations Standard Real-time Performance Management for VMware Administrators Technical Presentation.

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Presentation on theme: "© 2010 VMware Inc. All rights reserved VMware vCenter Operations Standard Real-time Performance Management for VMware Administrators Technical Presentation."— Presentation transcript:

1 © 2010 VMware Inc. All rights reserved VMware vCenter Operations Standard Real-time Performance Management for VMware Administrators Technical Presentation

2 2 Why vCenter Operations Standard?  80% of VMware admin time spent isolating performance problems “1st generation” green-yellow-red static threshold reporting insufficient and too complex to use Point solutions only address a subset of issues  VMware administrators have two conflicting goals Maximize ROI by increasing VM density Ensure required capacity for business growth and other changes in real-time Ensure that virtual component performance supports required application performance

3 3 VMware vCenter Operations Standard Basics  Clear and quick way to identify VMware performance problems  Easy to use for VMware Administrators Deeply integrated as a vCenter pane Intuitive screens guide users to issues needing attention Automatically collects data from vCenter Time-series performance data, topological relationships and configuration change events  VMware vCenter Operations Standard business benefits Increased performance for end users of business applications and services Reduced infrastructure costs through increased VM to ESX density Reduced VM administration costs and optimized VMware admin productivity

4 4 VMware Named 2011 Best of Interop Grand Prize Winner “VMware's vCenter Operations is another one of those products where you can see an ambitious company testing the limits… It is a bold effort to combine the data center disciplines of system configuration, performance management, and capacity management into one management tool and apply them to what in the future will be referred to as the private cloud.” Charlie Babcock, Editor at Large "VMware and each of the category winners represent market innovation and deserve recognition for helping build the energy and growth of today's IT marketplace." Art Wittmann, Vice President & Director "We are pleased to have Interop be the platform for bringing together the latest advancements in business technology and we congratulate VMware for their innovation in the industry.” Lenny Heymann, Interop General Manager vCenter Operations Standard 1.0 named Best of Interop 2011 out of 135 award entries vCenter Operations Standard 1.0 honored as the winner in Cloud Computing and Virtualization What the judges said… 16 editors and analysts from InformationWeek Analytics

5 5 Understanding your Virtual Environment - Workload  Workload Measures Demand for resources vs. Resources currently used Result is a percentage of Workload Low number is Good – Object has the resources it needs Can go above 100% - Object is “Starving”  Workload summarized across critical resources CPU Storage I/O  Workload Details View Detailed understanding of the lacking resource and associated metrics View the state of the Peer and Parent Objects and troubleshoot Am I a victim or a villain? Is this a population problem? Should we move the VM? Network I/O Memory (VM and ESX Allocation) A Configuration issue? Lack of resources? Virtual infrastructure is fine. OS or application issue?

6 6 Understanding your Virtual Environment - Health  Health Measures How normal is this object behaving: 0-100 (Higher is Healthier) Learns dynamic ranges of “Normal” for each metric Learns patterns of behavior and identifies metric abnormalities Lower the health the more abnormalities  Once a virtual element Health problem is identified Single screen provides details on problem based on behavioral understanding of the element Points to the Root Cause metrics to help you troubleshoot Eliminates 100s of clicks and memorization of many metric behaviors that 1st generation monitoring tools require  Health and Workload together tell you a lot Workload High & Health High – Normal Behavior for this timeframe Workload High & Health Low – Something is amiss! Important Note Low Health does not imply a problem. It tells you that the object is acting differently than normal.

7 7 Understanding your Virtual Environment - Capacity  Capacity Measures How much time do you have left before a object runs out of resources? Based on a 0-100 scale – Higher the number the longer you have Thresholds User Configurable 30 Days Left = RED 60 Days Left = Orange Etc.  Capacity measured for critical resources CPU Storage I/O  Capacity Details View Shows the chart and trend for each of the above resources Denotes current state Projected breach point and days left Network I/O Memory

8 8 Business Benefits

9 9 Increased Visibility Lack of holistic VC environment view Can’t determine state of all elements (clusters, hosts, guests) at once Overwhelming details obscure valuable information. Single pane of glass All VC data contextually consolidated One click to any detail Filters on “all” “normal” and “problem” Searches on any string. Visibility, comprehension of virtualized environment in one screen Better product usability Visually isolate problems via a “HUD” for vCenter Unnecessary details hidden until necessary. BEFOREAFTER

10 10 Slide 10 Reduced Complexity Administrators blind to brewing problems Too much data, too many clicks Preset thresholds, many details Impossible to understand health of elements Reduce complexity of usage Remove guesswork, provide clarity into the environment Speed up MTTR Enable administrators to do more with less. Provide a single measure of normality across all virtualized elements – Health Automatically aggregate, correlate states of 100s of metrics into two scores for each element – Health and Workload BEFOREAFTER

11 11 Slide 11 Understand Normal Metric Behavior Unable to understand normal range of metrics Is 65% usage normal for an hour, day, week or month? Or, is it the beginning of a problem? Visibility into normal operation of every metric in VC Continuous, automatic learning of normal behavior Understand metric behavior based on history Project forward future behavior hours or days in advance Remove guess work and confusion, clarify expectations Equivalent of 10 people watching, measuring and adjusting system constantly. BEFOREAFTER

12 12 Slide 12 Workload Optimization VC unaware of affinities and workload profiles of all VMs Only understands raw resource consumption Calculates and stores workload profile of each ESX Increase density by matching opposite VM behaviors on an ESX Ensure smooth, consistent use of resources Increase density of VMs per ESX Optimize use of resources Consistent and maximized ESX workloads BEFOREAFTER

13 13 Slide 13 Understand Impact of Change Change is common and necessary in VM environments Change can lead to degradation in performance Changes and events mashed on health chart for every element Easier to see impact of change and before and after performance Immediate visibility into impact of change Visual correlation to component's health Admin can immediately determine if change had positive (expected) or negative (unexpected) effect on the element BEFOREAFTER

14 14 Slide 14 Multidimensional Analysis Which of my many Hosts have high levels of CPU Ready contention but low memory usage? Slice, dice, visualize entire environment by any of 100s of VC- collected metrics Full Business Intelligence like capabilities Slice and dice historical collected data across any dimension Visualize results in heat maps, single click drill down to resource details. BEFOREAFTER

15 15 Screenshots

16 16 Performance dashboard based on self-learning analytics Visualize environment performance in three unique dimensions Simple, actionable scores that indicate overall performance Highlights resources that are deviating from “normal” behaviour

17 17 Get “At-a-glance” insights into performance issues Performance scores Visualize impact “Details” for further analysis

18 18 Drill down into problem source Key metrics of interest based on continuous learning of “normal” behavior Stress caused by net I/O Quickly identify problem source

19 19 Correlate cause-and-effect of the problem Correlate events that occurred at the same time Check health of related objects in the hierarchy

20 20 Deep Dive into Disk and Network IO performance Disk subsystem performance details by datastores and LUNs Network statistics for every NIC

21 21 Identify and isolate KPI metrics Quickly identify “suspect” performance metric KPI history with timestamp to indicate root cause

22 22 Anticipate Capacity Issues Before They Happen Correlated workload metrics forecast a potential breach Project forward future issues hours or days in advance Proactive warning related to capacity shortfall

23 23 Opportunities to remediate Move VMs to another host? This host seems to be overloaded! This host looks healthy…

24 24 Individual performance metric details Single view that correlates multiple metrics Detailed list of all metrics indicating smart alerts

25 25 vCenter Operations Architecture, Process and Deployment

26 26 vCenter Operations Standard Architecture  Four Main Services: Collector, Analytics, Web, ActiveMQ  Architecture includes  PostgresSQL DB  File-based DB (FSDB) for raw metric storage  Single Collector for vCenter embedded in appliance

27 27 vCenter Operations Standard Processing 2a: Analytics runs daily to determine hour-by-hour Dynamic Thresholds for next 24 hours 2b: Full FSDB is scanned by the analytic algorithms to determine per metric best match the next 24 hour period 1a: vCenter Collector collects metrics, topology & change events from vCenter - Ongoing - 1a: vCenter Collector collects metrics, topology & change events from vCenter - Ongoing - 1b: Data stored in FSDB 3: Incoming data points are tested against Dynamic Threshold bands and used to calculate Health, Workload and Capacity 2c: Store metric Dynamic Thresholds data in PostgresSQL DB 4: Results provided to UI: Update “Badges”, provide Root Cause for Health scores, etc.

28 28 VMware vCenter Operations Standard - Deployment  One vCenter Operations Standard per vCenter instance  For VMware environments of 1500 or fewer Virtual Machines  vCenter Operations Standard is a virtual appliance (.ova) SUSE Linux Enterprise Server 11 SP1 8GB RAM 2 vCPUs 124 GB Disk (4 GB system disk + 120 GB data disk)  Supported Systems ESX host where the appliances is deployed to must be 4.0 U2 and above 4.1 is recommended vCenter vCenter 4.0U2 vCenter 4.1 – Preferred as more data is available

29 29 VMware vCenter Operations Standard - Deployment  Simplified implementation – 15 mins Deploy the appliance – Deploy OVF Template Change passwords and set Timezone Set up network configurations (Optional) Connect to vCenter Server IP, Admin User Name, Admin Password, Collector User Name, Collector Password Apply your license  Polling and analytics start automatically Polling set to every 5 mins  Accessing the UI Supported browsers include: Internet Explorer 7 or 8, or Firefox 3.6.x Internet Explorer 7 is required on the machine where vSphere Client runs

30 30 vCenter Operations Editions

31 31 VMware vCenter Operations Editions vCenter Operations Enterprise + Full Configuration & Compliance Management + Other VMware & 3 rd Party Integrations (View, management, servers, storage) Non-VMware (incl. physical) environments vCenter Operations Advanced + Capacity Planning VMware Cloud / vCenter vSphere vCenter Operations Standard Performance Real-time Capacity Configuration Change

32 32 Understanding the vCenter Operations Editions vCenter Operations Standard Edition vCenter Operations Enterprise - Stand-Alone Data SourcesvCenter x 1 Any 3 rd party monitoring tools’ time series data Change events Multiple vCenter Servers ObjectsvCenter Objects (i.e.) Data Centers Clusters ESX Hosts Datastores VMs x 1500 Unlimited Scope (i.e.) Applications Network Infrastructure Storage Hosts (ESX, Win, Linux, etc) VMs UsersInfrastructure (e.g. VI Admins)Operations, Infrastructure, Application Teams, Business Owners, CxOs Dynamic ThresholdsYes Performance Root CauseYes Proactive AlertingNoYes Customizable DashboardsNoYes NotificationsNoYes Scope Function

33 33 Demo

34 34 Questions

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