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© 2010 VMware Inc. All rights reserved
VMware vCenter Operations Standard
Real-time Performance Management for VMware Administrators
Technical Presentation
6
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
7
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
8
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?
9
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.
12
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
13
Business Benefits
14
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.
BEFORE AFTER
15
Slide 15
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
BEFORE AFTER
16
Slide 16
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.
BEFORE AFTER
17
Slide 17
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
BEFORE AFTER
18
Slide 18
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
BEFORE AFTER
19
Slide 19
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.
BEFORE AFTER
30
vCenter Operations Architecture,
Process and Deployment
31
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
32
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 -
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.
33
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
34
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
35
vCenter Operations Editions
36
VMware vCenter Operations Editions
vCenter Operations Enterprise
+ Full Configuration & Compliance
Management
+ Other VMware & 3rd 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
37
Understanding the vCenter Operations Editions
vCenter Operations Standard
Edition
vCenter Operations Enterprise
- Stand-Alone
Data Sources vCenter x 1 • Any 3rd party monitoring tools’
time series data
• Change events
• Multiple vCenter Servers
Objects vCenter 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
Users Infrastructure (e.g. VI Admins) Operations, Infrastructure,
Application Teams, Business
Owners, CxOs
Dynamic Thresholds Yes Yes
Performance Root Cause Yes Yes
Proactive Alerting No Yes
Customizable Dashboards No Yes
Notifications No Yes
ScopeFunction
38
Demo
39
Questions

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V center operations standard presentation

  • 1. © 2010 VMware Inc. All rights reserved VMware vCenter Operations Standard Real-time Performance Management for VMware Administrators Technical Presentation
  • 2. 6 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. 7 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. 8 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?
  • 5. 9 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.
  • 6. 12 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. 14 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. BEFORE AFTER
  • 9. 15 Slide 15 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 BEFORE AFTER
  • 10. 16 Slide 16 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. BEFORE AFTER
  • 11. 17 Slide 17 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 BEFORE AFTER
  • 12. 18 Slide 18 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 BEFORE AFTER
  • 13. 19 Slide 19 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. BEFORE AFTER
  • 15. 31 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
  • 16. 32 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 - 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.
  • 17. 33 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
  • 18. 34 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
  • 20. 36 VMware vCenter Operations Editions vCenter Operations Enterprise + Full Configuration & Compliance Management + Other VMware & 3rd 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
  • 21. 37 Understanding the vCenter Operations Editions vCenter Operations Standard Edition vCenter Operations Enterprise - Stand-Alone Data Sources vCenter x 1 • Any 3rd party monitoring tools’ time series data • Change events • Multiple vCenter Servers Objects vCenter 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 Users Infrastructure (e.g. VI Admins) Operations, Infrastructure, Application Teams, Business Owners, CxOs Dynamic Thresholds Yes Yes Performance Root Cause Yes Yes Proactive Alerting No Yes Customizable Dashboards No Yes Notifications No Yes ScopeFunction