SlideShare a Scribd company logo
1
z/VM Performance Analysis
Lívio Sousa - livios@br.ibm.com
IBM zEnterprise Client Technical Specialist
2
Overview
• Guidelines
• Commands
• *MONITOR
• Performance Toolkit
• Omegamon XE
3
Definition of Performance
• Performance definitions:
– Response time
– Batch elapsed time
– Throughput
– Resource consumed per unit of work done
– Utilization
– Users supported
– Phone ringing
– Consistency
• All of the above
4
Performance Guidelines
• Processor
• Storage
• Paging
• Minidisk cache
• Server machines
5
Processor Guidelines
• Dedicated processors - mostly political
– Absolute share can be almost as effective
– Gets wait state assist and 500 ms minor time slice
– Perhaps not a good idea if you are CPU-constrained
– A virtual machine should have all dedicated or all shared processors
• Share settings
– Use absolute if you can judge percent of resources required
– Use relative if difficult to judge and if lower share as system load increases is
acceptable
– Be aware that share value is split by vCPUs
– Do not use LIMITHARD settings unnecessarily
• Masks looping users
• More scheduler overhead
• Use the right number of virtual processors for the guest's workload
• Don’t share all available IFLs to all LPARs
– Suspend Time can be high
6
Storage Guidelines
Virtual-to-real ratio should be <= 3:1 or make sure paging system is robust
– To avoid any performance impact for production workloads, you may need to keep ratio to 1:1
– See also http://www.vm.ibm.com/perf/tips/memory.html
– VIR2REAL EXEC (Bruce Hayden)
http://www.vm.ibm.com/download/packages/descript.cgi?VIR2REAL
Define some processor storage as expanded storage to provide paging hierarchy
– For more background, see http://www.vm.ibm.com/perf/tips/storconf.html
Size guests appropriately
– Avoiding over provisioning
– Do not put them in a high guest paging position
– Right-sized usually means "just barely swapping"
Exploit shared memory where possible
– IPL your Linux guests from a segment
– Use the Linux XIP (execute-in-place) file system
Total Virtual storage (all logged on userids): 388308 MB (379.2 GB)
Usable real storage (pageable) for this system: 202927 MB (198.2 GB)
Total LPAR Real storage: 204800 MB (200.0 GB)
Expanded storage usable for paging: 25600 MB ( 25.0 GB)
Total Virtual disk (VDISK) space defined: 50176 MB ( 49.0 GB)
Average Virtual disk size: 512 MB
Virtual + VDISK to Real storage ratio: 2.2 : 1
7
Paging Guidelines
• DASD paging allocations less than or equal to 50%
– QUERY ALLOC PAGE
• Watch blocks read per paging request (keep >10)
– Long block runs make paging I/O efficient
• Multiple volumes and multiple paths
– Remember, one I/O per real device at a time
– Use lots of little volumes rather than a few big volumes
– Pay attention in Response Time and Wait Queues
• Do not mix sizes of paging DASD
– Use all -3s, or all -9s, or whatever
• Paging to FCP SCSI (EDEVICES) may offer higher paging bandwidth with
higher processor requirements
– See also http://www.vm.ibm.com/perf/tips/prgpage.html
88
Reorder Processing - Background
• Page reorder is the process in z/VM of managing
user frame owned lists as input to demand scan
processing.
– It includes resetting the HW reference bit.
– Serializes the virtual machine (all virtual processors).
– In all releases of z/VM
• It is done periodically on a virtual machine basis.
• The cost of reorder is proportional to the number
of resident frames for the virtual machine.
– Roughly 130 ms/GB resident
– Delays of ~1 second for guest having 8 GB resident
– This can vary for different reasons +/- 40%
9
9
Reorder Processing - Diagnosing
Performance Toolkit
– Check resident page fields (“R<2GB” & “R>2GB”) on
FCX113 UPAGE report
• Remember, Reorder works against the resident pages, not total
virtual machine size.
– Check Console Function Mode Wait (“%CFW”) on
FCX114 USTAT report
• A virtual machine may be brought through console function mode to
serialize Reorder. There are other ways to serialize for Reorder and
there are other reasons that for CFW, so this is not conclusive.
REORDMON
– Available from the VM Download Page
http://www.vm.ibm.com/download/packages/
– Works against raw MONWRITE data for all monitored
virtual machines
– Works in real time for a specific virtual machine
– Provides how often Reorder processing occurs in each
monitor interval
10
10
REORDMON Example
Num. of Average Average
Userid Reorders Rsdnt(MB) Ref'd(MB) Reorder Times
-------- -------- --------- --------- -------------------
LINUX002 2 18352 13356 13:29:05 14:15:05
LINUX001 1 22444 6966 13:44:05
LINUX005 1 14275 5374 13:56:05
LINUX003 2 21408 13660 13:43:05 14:10:05
LINUX007 1 12238 5961 13:51:05
LINUX006 1 9686 4359 13:31:05
LINUX004 1 21410 11886 14:18:05
11
11
Reorder Processing - Mitigations
• Try to keep the virtual machine as small as possible.
• Virtual machines with multiple applications may need to be
split into multiple virtual machines with fewer applications.
• See http://www.vm.ibm.com/perf/tips/reorder.html for more
details.
• Apply APAR VM64774 if necessary:
– SET and QUERY commands, system wide settings
– Corrects problem in earlier “patch” solution that inhibits paging of
PGMBKs (Page Tables) for virtual machines where Reorder is set
off.
– z/VM 5.4.0 PTF UM33167 RSU 1003
– z/VM 6.1.0 PTF UM33169 RSU 1003
12
Minidisk Cache Guidelines
• In general, enable MDC for everything
• Configure some real storage for MDC
• Set maximum MDC limits
– SET MDC STOR 0M 256M and SET MDC XSTOR 0M 0M
• Disable MDC for
– Write-mostly or read-once disks (logs, accounting, Linux swap)
– Target volumes in backup scenarios
• Better performer than Virtual Disk in Storage (VDISK) for read I/Os
13
Server Machine Guidelines
• Server Virtual Machine (SVM)
• TCP/IP, RACFVM, etc.
• QUICKDSP ON to avoid eligible list
• Higher SHARE setting
• Ensure performance data includes these virtual
machines
14
CP INDICATE Command
• LOAD: shows total system load
– Processors, XSTORE, paging, MDC, queue lengths, storage load
– STORAGE value not very meaningful
• USER EXP: more useful than plain USER
• QUEUES EXP: great for scheduler problems and quick state sampling
– Mostly useful for eligible list assessments
• PAGING: lists users in page wait
• I/O: lists users in I/O wait
• ACTIVE: displays number of active users over given interval
• Consider using MONITOR DATA instead for "serious" examinations
15
CP INDICATE LOAD Example
INDICATE LOAD
AVGPROC-088% 03
XSTORE-000000/SEC MIGRATE-0000/SEC
MDC READS-000035/SEC WRITES-000001/SEC HIT RATIO-099%
PAGING-0023/SEC STEAL-000%
Q0-00007(00000) DORMANT-00410
Q1-00000(00000) E1-00000(00000)
Q2-00001(00000) EXPAN-002 E2-00000(00000)
Q3-00013(00000) EXPAN-002 E3-00000(00000)
PROC 0000-087% PROC 0001-088%
PROC 0002-089%
LIMITED-00000
16
Selected CP QUERY Commands
USERS: number and type of users on system
SRM: scheduler/dispatcher settings (LDUBUF, etc.)
SHARE: type and intensity of system share
FRAMES: real storage allocation
PATHS: physical paths to device and status
ALLOC MAP: DASD allocation
ALLOC PAGE: how full your paging space is
XSTORE: assignment of expanded storage
MONITOR: current monitor settings
MDC: MDC usage
VDISK: virtual disk in storage usage
SXSPAGES: System Execution Space
17
5,000 Foot View
CP Control
Blocks
Application
Data
VM Events
*MONITOR System Service
MONDCSS
Segment
MONWRITE Utility
Performance
Toolkit
Raw
Monwrite
History
Files
TCP/IP
Network
3270
Browser
VMRM
18
19
Processor
REPORT NAME REPORT CODE COMMAND
CPU Load and Transactions FCX100 CPU
LPAR Load FCX126 LPAR
Processor Log FCX144 PROCLOG
LPAR Load Log FCX202 LPARLOG
User Wait States FCX114 USTAT
System Summary FCX225 SYMSUMLG
20
FCX126 Run 2011/09/20 18:00:56 Logical Partition Activity
From 2011/09/13 09:19:15 To 2011/09/13 10:09:15
For 3000 Secs 00:50:00 Result of 13092011 Run
__________________________________________________________________________________________
Processor type and model : 2817-401
Nr. of configured partitions: 6
Nr. of physical processors : 25
Partition Nr. Upid #Proc Weight Wait-C Cap %Load CPU %Busy %Ovhd %Susp %VMld %Logld Type
LPAR1 1 00 24 100 NO NO 89.0 0 94.3 2.1 6.5 92.0 98.4 IFL
100 NO 1 93.4 2.4 7.7 90.8 98.3 IFL
100 NO 2 93.6 2.3 7.4 91.1 98.3 IFL
100 NO 3 93.6 2.4 7.5 91.1 98.4 IFL
100 NO 4 93.6 2.3 7.4 91.1 98.4 IFL
100 NO 5 93.5 2.3 7.5 91.0 98.3 IFL
100 NO 6 93.4 2.4 7.6 90.9 98.3 IFL
100 NO 7 93.2 2.4 7.7 90.6 98.1 IFL
100 NO 8 93.4 2.4 7.5 90.8 98.2 IFL
100 NO 9 93.2 2.4 7.7 90.7 98.2 IFL
100 NO 10 93.1 2.5 7.8 90.4 98.0 IFL
100 NO 11 93.2 2.4 7.7 90.6 98.0 IFL
100 NO 12 93.4 2.4 7.5 90.8 98.1 IFL
100 NO 13 93.3 2.3 7.5 90.8 98.1 IFL
100 NO 14 93.3 2.4 7.5 90.7 98.1 IFL
100 NO 15 93.2 2.5 7.6 90.5 97.9 IFL
100 NO 16 91.1 2.9 9.0 88.0 96.6 IFL
100 NO 17 91.3 2.8 8.8 88.2 96.7 IFL
100 NO 18 91.4 2.9 8.9 88.3 96.8 IFL
100 NO 19 91.5 2.7 8.8 88.5 97.0 IFL
100 NO 20 91.7 2.8 8.7 88.6 97.1 IFL
100 NO 21 91.5 2.8 8.9 88.5 97.1 IFL
21
FCX225 Run 2011/09/20 18:00:56 SYSSUMLG
System Performance Summary by Time
From 2011/09/13 09:19:15
To 2011/09/13 10:09:15
For 3000 Secs 00:50:00 Result of 13092011 Run
_________________________________________________________________________________
<------- CPU --------> <Vec> <--Users--> <---I/O---> <Stg> <-Paging-->
<--Ratio--> SSCH DASD Users <-Rate/s-->
Interval Pct Cap- On- Pct Log- +RSCH Resp in PGIN+ Read+
End Time Busy T/V ture line Busy ged Activ /s msec Elist PGOUT Write
>>Mean>> 90.0 1.10 .9293 24.0 .... 117 108 571.2 .4 .0 2610 1051
09:20:15 92.4 1.13 .9059 24.0 .... 117 108 523.0 .5 .0 1992 527.8
09:21:15 92.9 1.07 .9523 24.0 .... 117 108 399.2 .5 .0 1669 301.4
09:22:15 93.2 1.08 .9458 24.0 .... 117 108 557.4 .3 .0 2817 633.9
09:23:15 94.5 1.07 .9535 24.0 .... 117 108 590.3 .3 .0 1410 482.7
09:24:15 93.4 1.07 .9537 24.0 .... 117 108 649.5 .4 .0 2363 488.5
09:25:15 90.4 1.09 .9347 24.0 .... 117 108 684.7 .4 .0 2485 768.9
09:26:15 92.4 1.08 .9436 24.0 .... 117 108 666.8 .4 .0 2940 1215
09:27:15 90.9 1.09 .9344 24.0 .... 117 108 607.2 .4 .0 3179 726.7
09:28:15 92.2 1.08 .9469 24.0 .... 117 108 664.2 .5 .0 2179 896.0
09:29:17 90.8 1.10 .9318 24.0 .... 117 108 645.9 .6 .0 3404 804.5
09:30:16 89.5 1.19 .8579 24.0 .... 117 108 670.8 .7 .0 5402 3487
09:31:15 92.7 1.08 .9412 24.0 .... 117 108 588.7 .4 .0 3091 1807
09:32:15 91.2 1.09 .9421 24.0 .... 117 108 602.8 .3 .0 2635 1076
09:33:16 89.3 1.14 .9047 24.0 .... 117 108 255.2 .5 .0 3140 710.5
09:34:15 88.5 1.10 .9374 24.0 .... 117 108 205.2 .6 .0 2513 897.4
09:35:15 85.9 1.12 .9257 24.0 .... 117 108 320.4 .5 .0 3117 953.5
09:36:16 86.1 1.13 .9144 24.0 .... 117 108 213.5 .5 .0 3642 1144
09:37:16 83.0 1.14 .9090 24.0 .... 117 108 245.6 .5 .0 3414 2133
22
REPORT NAME REPORT CODE COMMAND
Auxiliary Storage Log FCX146 AUXLOG
CP Owned Device FCX109 DEVICE CPOWNED
User Page Data FCX113 UPAGE
Shared Data Spaces FCX134 DSPACESH
SXS Available Page Queues Mgnt FCX261 SXSAVAIL
Mini Disk Storage FCX178 MDCSTOR
Storage Utilization FCX103 STORAGE
Available List Log FCX254 AVAILLOG
Storage
23
FCX109 Run 2011/05/31 17:44:26 DEVICE CPOWNED
Load and Performance of CP Owned Disks
From 2011/05/12 16:48:41 To 2011/05/12 17:31:41
For 2580 Secs 00:43:00 Result of 20110512 Run
_______________________________________________________________________________
Page / SPOOL Allocation Summary
PAGE slots available 25165k SPOOL slots available 3605928
PAGE slot utilization 25% SPOOL slot utilization 65%
T-Disk cylinders avail. ....... DUMP slots available 0
T-Disk space utilization ...% DUMP slot utilization ..%
. . . . . . . . . . _____ . .<
Device Descr. -> <------------- Rate/s -------------> User Serv MLOAD
Volume Area Area Used <--Page---> <--Spool--> SSCH Inter Queue Time Resp
Addr Devtyp Serial Type Extent % P-Rds P-Wrt S-Rds S-Wrt Total +RSCH feres Lngth /Page Time
EDF1 9336 ZDPAG1 PAGE 12583k 25 196.5 199.9 ... ... 396.4 .0 0 8.18 5.5 88.0
EDF2 9336 ZDPAG2 PAGE 12583k 24 194.2 206.1 ... ... 400.4 .0 0 7.23 6.0 58.4
4374 3390 610SP1 SPOOL 802880 61 .0 .0 .0 .0 .0 .1 0 0 .4 .4
4672 3390 610SP2 SPOOL 803060 68 .0 .0 .0 .0 .0 .0 0 0 1.0 1.0
24
I/O
REPORT NAME REPORT CODE COMMAND
General I/O Device FCX108 DEVICE
SCSI Device FCX249 SCSI
DASD Performance Log FCX131 DEVCONF
FICON Channel Load FCX215 INTERIM FCHANNEL
General I/O Device Data Log FCX168 DEVLOG
I/O Processor Log FCX232 IOPROCLG
25
Studying MONWRITE Data
• z/VM Performance Toolkit
• Interactively – possible, but not so useful
• PERFKIT BATCH command – pretty useful
– Control files tell Perfkit which reports to produce
– You can then inspect the reports by hand or
programmatically
• See z/VM Performance Toolkit Reference for
information on how to use PERFKIT BATCH
• PRFIT (Brian Wade)
http://www.vm.ibm.com/download/packages/descript.cgi?PRFIT
26
26
Some Notes on z/VM Limits
• Sheer hardware:
– z/VM 5.2: 24 engines, 128 GB real
– z/VM 5.3: 32 engines, 256 GB real
– zSeries: 65,000 I/O devices
• Workloads we’ve run in test have included:
– 54 engines
– 440 GB real storage
– 128 GB XSTORE
– 240 1-GB Linux guests
– 8 1-TB guests
• Utilizations we routinely see in customer
environments
– 85% to 95% CPU utilization without worry
– Tens of thousands of pages per second without
worry
• Our limits tend to have two distinct shapes
– Performance drops off slowly with utilization (CPUs)
– Performance drops off rapidly when wall is hit
(storage)
Performance
Utilization
Precipitous (e.g., storage)
Gradual (e.g., CPUs)
27
Some Final Thoughts
• Define what is performance for your case
• Collect data for a base line of good
performance
• Implement change management process
• Make as few changes as possible at a time
• Relieving one bottleneck will reveal another
28
OBRIGADO!
Informações de Contato:
Livio Sousa
IBM Tutóia – SP
livios@br.ibm.com
+55 11 9 7203 6637

More Related Content

What's hot

Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...
Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...
Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...
xKinAnx
 
Upgrade to zOS V2.5 - Planning and Tech Actions.pdf
Upgrade to zOS V2.5 - Planning and Tech Actions.pdfUpgrade to zOS V2.5 - Planning and Tech Actions.pdf
Upgrade to zOS V2.5 - Planning and Tech Actions.pdf
Marna Walle
 
z/OS Communications Server: z/OS Resolver
z/OS Communications Server: z/OS Resolverz/OS Communications Server: z/OS Resolver
z/OS Communications Server: z/OS Resolver
zOSCommserver
 
IBM Spectrum Scale Authentication for File Access - Deep Dive
IBM Spectrum Scale Authentication for File Access - Deep DiveIBM Spectrum Scale Authentication for File Access - Deep Dive
IBM Spectrum Scale Authentication for File Access - Deep Dive
Shradha Nayak Thakare
 
DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...
DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...
DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...
John Campbell
 
DB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and controlDB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and control
Florence Dubois
 
Shared Memory Communications-Direct Memory Access (SMC-D) Overview
Shared Memory Communications-Direct Memory Access (SMC-D) OverviewShared Memory Communications-Direct Memory Access (SMC-D) Overview
Shared Memory Communications-Direct Memory Access (SMC-D) Overview
zOSCommserver
 
ZIIP, ZAAP, ZEDC, SMT-2. EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...
ZIIP, ZAAP, ZEDC, SMT-2.  EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...ZIIP, ZAAP, ZEDC, SMT-2.  EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...
ZIIP, ZAAP, ZEDC, SMT-2. EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...
Joao Galdino Mello de Souza
 
제3회난공불락 오픈소스 인프라세미나 - Pacemaker
제3회난공불락 오픈소스 인프라세미나 - Pacemaker제3회난공불락 오픈소스 인프라세미나 - Pacemaker
제3회난공불락 오픈소스 인프라세미나 - Pacemaker
Tommy Lee
 
Z OS IBM Utilities
Z OS IBM UtilitiesZ OS IBM Utilities
Z OS IBM Utilities
kapa rohit
 
Mainframe
MainframeMainframe
Mainframe
Rodrigo Araujo
 
[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide
[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide
[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide
Ji-Woong Choi
 
Linux dma engine
Linux dma engineLinux dma engine
Linux dma engine
pradeep_tewani
 
SUSE KVM Ecosystem
SUSE KVM EcosystemSUSE KVM Ecosystem
SUSE KVM Ecosystem
Patrick Quairoli
 
Mainframe Architecture & Product Overview
Mainframe Architecture & Product OverviewMainframe Architecture & Product Overview
Mainframe Architecture & Product Overviewabhi1112
 
Xen and the Art of Virtualization
Xen and the Art of VirtualizationXen and the Art of Virtualization
Xen and the Art of Virtualization
sathish sak
 
z/OS 2.3 HiperSockets Converged Interface (HSCI) support
z/OS 2.3 HiperSockets Converged Interface (HSCI) supportz/OS 2.3 HiperSockets Converged Interface (HSCI) support
z/OS 2.3 HiperSockets Converged Interface (HSCI) support
zOSCommserver
 
OMEGAMON XE for CICS V530 Long client presentation
OMEGAMON XE for CICS V530 Long client presentationOMEGAMON XE for CICS V530 Long client presentation
OMEGAMON XE for CICS V530 Long client presentation
IBM z Systems Software - IT Service Management
 
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Florence Dubois
 

What's hot (20)

Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...
Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...
Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...
 
Upgrade to zOS V2.5 - Planning and Tech Actions.pdf
Upgrade to zOS V2.5 - Planning and Tech Actions.pdfUpgrade to zOS V2.5 - Planning and Tech Actions.pdf
Upgrade to zOS V2.5 - Planning and Tech Actions.pdf
 
z/OS Communications Server: z/OS Resolver
z/OS Communications Server: z/OS Resolverz/OS Communications Server: z/OS Resolver
z/OS Communications Server: z/OS Resolver
 
IBM Spectrum Scale Authentication for File Access - Deep Dive
IBM Spectrum Scale Authentication for File Access - Deep DiveIBM Spectrum Scale Authentication for File Access - Deep Dive
IBM Spectrum Scale Authentication for File Access - Deep Dive
 
DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...
DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...
DB2 for z/OS Bufferpool Tuning win by Divide and Conquer or Lose by Multiply ...
 
DB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and controlDB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and control
 
Shared Memory Communications-Direct Memory Access (SMC-D) Overview
Shared Memory Communications-Direct Memory Access (SMC-D) OverviewShared Memory Communications-Direct Memory Access (SMC-D) Overview
Shared Memory Communications-Direct Memory Access (SMC-D) Overview
 
ZIIP, ZAAP, ZEDC, SMT-2. EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...
ZIIP, ZAAP, ZEDC, SMT-2.  EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...ZIIP, ZAAP, ZEDC, SMT-2.  EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...
ZIIP, ZAAP, ZEDC, SMT-2. EVOLUÇÃO E REVOLUÇÃO por Jorge Henrique Souza Areia...
 
제3회난공불락 오픈소스 인프라세미나 - Pacemaker
제3회난공불락 오픈소스 인프라세미나 - Pacemaker제3회난공불락 오픈소스 인프라세미나 - Pacemaker
제3회난공불락 오픈소스 인프라세미나 - Pacemaker
 
Z OS IBM Utilities
Z OS IBM UtilitiesZ OS IBM Utilities
Z OS IBM Utilities
 
Mainframe
MainframeMainframe
Mainframe
 
[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide
[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide
[오픈소스컨설팅] Red Hat ReaR (relax and-recover) Quick Guide
 
Linux dma engine
Linux dma engineLinux dma engine
Linux dma engine
 
SUSE KVM Ecosystem
SUSE KVM EcosystemSUSE KVM Ecosystem
SUSE KVM Ecosystem
 
Linux Porting
Linux PortingLinux Porting
Linux Porting
 
Mainframe Architecture & Product Overview
Mainframe Architecture & Product OverviewMainframe Architecture & Product Overview
Mainframe Architecture & Product Overview
 
Xen and the Art of Virtualization
Xen and the Art of VirtualizationXen and the Art of Virtualization
Xen and the Art of Virtualization
 
z/OS 2.3 HiperSockets Converged Interface (HSCI) support
z/OS 2.3 HiperSockets Converged Interface (HSCI) supportz/OS 2.3 HiperSockets Converged Interface (HSCI) support
z/OS 2.3 HiperSockets Converged Interface (HSCI) support
 
OMEGAMON XE for CICS V530 Long client presentation
OMEGAMON XE for CICS V530 Long client presentationOMEGAMON XE for CICS V530 Long client presentation
OMEGAMON XE for CICS V530 Long client presentation
 
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
 

Similar to z/VM Performance Analysis

CPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performanceCPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performance
Coburn Watson
 
Ims05 ims 100 k benchmark
Ims05   ims 100 k benchmarkIms05   ims 100 k benchmark
Ims05 ims 100 k benchmarkRobert Hain
 
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013
Amazon Web Services
 
VMworld 2013: How SRP Delivers More Than Power to Their Customers
VMworld 2013: How SRP Delivers More Than Power to Their Customers VMworld 2013: How SRP Delivers More Than Power to Their Customers
VMworld 2013: How SRP Delivers More Than Power to Their Customers
VMworld
 
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance BarriersCeph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Community
 
Session 7362 Handout 427 0
Session 7362 Handout 427 0Session 7362 Handout 427 0
Session 7362 Handout 427 0
jln1028
 
VMworld 2015: Extreme Performance Series - vSphere Compute & Memory
VMworld 2015: Extreme Performance Series - vSphere Compute & MemoryVMworld 2015: Extreme Performance Series - vSphere Compute & Memory
VMworld 2015: Extreme Performance Series - vSphere Compute & Memory
VMworld
 
Advanced performance troubleshooting using esxtop
Advanced performance troubleshooting using esxtopAdvanced performance troubleshooting using esxtop
Advanced performance troubleshooting using esxtop
Alan Renouf
 
z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...
z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...
z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...Joao Galdino Mello de Souza
 
Cloud Performance Benchmarking
Cloud Performance BenchmarkingCloud Performance Benchmarking
Cloud Performance Benchmarking
Santanu Dey
 
Ceph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architectureCeph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Community
 
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA ArchitectureCeph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Danielle Womboldt
 
Oracle Basics and Architecture
Oracle Basics and ArchitectureOracle Basics and Architecture
Oracle Basics and ArchitectureSidney Chen
 
PowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDAPowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDA
Alexander Grudanov
 
Slow things down to make them go faster [FOSDEM 2022]
Slow things down to make them go faster [FOSDEM 2022]Slow things down to make them go faster [FOSDEM 2022]
Slow things down to make them go faster [FOSDEM 2022]
Jimmy Angelakos
 
VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...
VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...
VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...
VMworld
 
Troubleshooting SQL Server
Troubleshooting SQL ServerTroubleshooting SQL Server
Troubleshooting SQL ServerStephen Rose
 
Tuning Android for low RAM
Tuning Android for low RAMTuning Android for low RAM
Tuning Android for low RAM
Chris Simmonds
 
Dba tuning
Dba tuningDba tuning

Similar to z/VM Performance Analysis (20)

CPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performanceCPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performance
 
Ims05 ims 100 k benchmark
Ims05   ims 100 k benchmarkIms05   ims 100 k benchmark
Ims05 ims 100 k benchmark
 
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013
 
VMworld 2013: How SRP Delivers More Than Power to Their Customers
VMworld 2013: How SRP Delivers More Than Power to Their Customers VMworld 2013: How SRP Delivers More Than Power to Their Customers
VMworld 2013: How SRP Delivers More Than Power to Their Customers
 
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance BarriersCeph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
Ceph Day Melbourne - Ceph on All-Flash Storage - Breaking Performance Barriers
 
Session 7362 Handout 427 0
Session 7362 Handout 427 0Session 7362 Handout 427 0
Session 7362 Handout 427 0
 
VMworld 2015: Extreme Performance Series - vSphere Compute & Memory
VMworld 2015: Extreme Performance Series - vSphere Compute & MemoryVMworld 2015: Extreme Performance Series - vSphere Compute & Memory
VMworld 2015: Extreme Performance Series - vSphere Compute & Memory
 
Advanced performance troubleshooting using esxtop
Advanced performance troubleshooting using esxtopAdvanced performance troubleshooting using esxtop
Advanced performance troubleshooting using esxtop
 
z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...
z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...
z/VM 6.3 - Mudanças de Comportamento do hypervisor para suporte de partições ...
 
Cloud Performance Benchmarking
Cloud Performance BenchmarkingCloud Performance Benchmarking
Cloud Performance Benchmarking
 
Chapter 4
Chapter 4Chapter 4
Chapter 4
 
Ceph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architectureCeph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architecture
 
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA ArchitectureCeph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
 
Oracle Basics and Architecture
Oracle Basics and ArchitectureOracle Basics and Architecture
Oracle Basics and Architecture
 
PowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDAPowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDA
 
Slow things down to make them go faster [FOSDEM 2022]
Slow things down to make them go faster [FOSDEM 2022]Slow things down to make them go faster [FOSDEM 2022]
Slow things down to make them go faster [FOSDEM 2022]
 
VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...
VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...
VMworld 2013: Just Because You Could, Doesn't Mean You Should: Lessons Learne...
 
Troubleshooting SQL Server
Troubleshooting SQL ServerTroubleshooting SQL Server
Troubleshooting SQL Server
 
Tuning Android for low RAM
Tuning Android for low RAMTuning Android for low RAM
Tuning Android for low RAM
 
Dba tuning
Dba tuningDba tuning
Dba tuning
 

More from Rodrigo Campos

Velocity Conference NYC 2014 - Real World DevOps
Velocity Conference NYC 2014 - Real World DevOpsVelocity Conference NYC 2014 - Real World DevOps
Velocity Conference NYC 2014 - Real World DevOps
Rodrigo Campos
 
DevOps no mundo real - QCON 2014
DevOps no mundo real - QCON 2014DevOps no mundo real - QCON 2014
DevOps no mundo real - QCON 2014
Rodrigo Campos
 
7Masters Webops in the Cloud
7Masters Webops in the Cloud7Masters Webops in the Cloud
7Masters Webops in the Cloud
Rodrigo Campos
 
14 guendert pres
14 guendert pres14 guendert pres
14 guendert pres
Rodrigo Campos
 
Large and Giant Pages
Large and Giant PagesLarge and Giant Pages
Large and Giant Pages
Rodrigo Campos
 
Otimização holistica de ambiente computacional
Otimização holistica de ambiente computacionalOtimização holistica de ambiente computacional
Otimização holistica de ambiente computacional
Rodrigo Campos
 
Desempenho e Escalabilidade de Banco de Dados em ambiente x86
Desempenho e Escalabilidade de Banco de Dados em ambiente x86Desempenho e Escalabilidade de Banco de Dados em ambiente x86
Desempenho e Escalabilidade de Banco de Dados em ambiente x86
Rodrigo Campos
 
13 coelho final-pres
13 coelho final-pres13 coelho final-pres
13 coelho final-pres
Rodrigo Campos
 
Mistério ou tecnologia? Paralelismo!
Mistério ou tecnologia? Paralelismo!Mistério ou tecnologia? Paralelismo!
Mistério ou tecnologia? Paralelismo!
Rodrigo Campos
 
Sistemas de proteção de perímetro
Sistemas de proteção de perímetroSistemas de proteção de perímetro
Sistemas de proteção de perímetro
Rodrigo Campos
 
Devops at Walmart GeC Brazil
Devops at Walmart GeC BrazilDevops at Walmart GeC Brazil
Devops at Walmart GeC Brazil
Rodrigo Campos
 
Disk IO Benchmarking in shared multi-tenant environments
Disk IO Benchmarking in shared multi-tenant environmentsDisk IO Benchmarking in shared multi-tenant environments
Disk IO Benchmarking in shared multi-tenant environments
Rodrigo Campos
 
Cloud Computing Oportunidades e Desafios
Cloud Computing Oportunidades e DesafiosCloud Computing Oportunidades e Desafios
Cloud Computing Oportunidades e DesafiosRodrigo Campos
 
The good, the bad and the big... data
The good, the bad and the big... dataThe good, the bad and the big... data
The good, the bad and the big... data
Rodrigo Campos
 
CMG 2012 - Tuning where it matters - Gerry Tuddenham
CMG 2012 - Tuning where it matters - Gerry TuddenhamCMG 2012 - Tuning where it matters - Gerry Tuddenham
CMG 2012 - Tuning where it matters - Gerry TuddenhamRodrigo Campos
 
A Consumerização da TI e o Efeito BYOT
A Consumerização da TI e o Efeito BYOTA Consumerização da TI e o Efeito BYOT
A Consumerização da TI e o Efeito BYOT
Rodrigo Campos
 
CMG Brasil 2012 - Uso de Lines nos z196
CMG Brasil 2012 - Uso de Lines nos z196CMG Brasil 2012 - Uso de Lines nos z196
CMG Brasil 2012 - Uso de Lines nos z196
Rodrigo Campos
 
Racionalização e Otimização de Energia em Computação na Nuvem
Racionalização e Otimização de Energia em Computação na NuvemRacionalização e Otimização de Energia em Computação na Nuvem
Racionalização e Otimização de Energia em Computação na NuvemRodrigo Campos
 
SDN - Openflow + OpenVSwitch + Quantum
SDN - Openflow + OpenVSwitch + QuantumSDN - Openflow + OpenVSwitch + Quantum
SDN - Openflow + OpenVSwitch + Quantum
Rodrigo Campos
 
AWS RDS Benchmark - CMG Brasil 2012
AWS RDS Benchmark - CMG Brasil 2012AWS RDS Benchmark - CMG Brasil 2012
AWS RDS Benchmark - CMG Brasil 2012
Rodrigo Campos
 

More from Rodrigo Campos (20)

Velocity Conference NYC 2014 - Real World DevOps
Velocity Conference NYC 2014 - Real World DevOpsVelocity Conference NYC 2014 - Real World DevOps
Velocity Conference NYC 2014 - Real World DevOps
 
DevOps no mundo real - QCON 2014
DevOps no mundo real - QCON 2014DevOps no mundo real - QCON 2014
DevOps no mundo real - QCON 2014
 
7Masters Webops in the Cloud
7Masters Webops in the Cloud7Masters Webops in the Cloud
7Masters Webops in the Cloud
 
14 guendert pres
14 guendert pres14 guendert pres
14 guendert pres
 
Large and Giant Pages
Large and Giant PagesLarge and Giant Pages
Large and Giant Pages
 
Otimização holistica de ambiente computacional
Otimização holistica de ambiente computacionalOtimização holistica de ambiente computacional
Otimização holistica de ambiente computacional
 
Desempenho e Escalabilidade de Banco de Dados em ambiente x86
Desempenho e Escalabilidade de Banco de Dados em ambiente x86Desempenho e Escalabilidade de Banco de Dados em ambiente x86
Desempenho e Escalabilidade de Banco de Dados em ambiente x86
 
13 coelho final-pres
13 coelho final-pres13 coelho final-pres
13 coelho final-pres
 
Mistério ou tecnologia? Paralelismo!
Mistério ou tecnologia? Paralelismo!Mistério ou tecnologia? Paralelismo!
Mistério ou tecnologia? Paralelismo!
 
Sistemas de proteção de perímetro
Sistemas de proteção de perímetroSistemas de proteção de perímetro
Sistemas de proteção de perímetro
 
Devops at Walmart GeC Brazil
Devops at Walmart GeC BrazilDevops at Walmart GeC Brazil
Devops at Walmart GeC Brazil
 
Disk IO Benchmarking in shared multi-tenant environments
Disk IO Benchmarking in shared multi-tenant environmentsDisk IO Benchmarking in shared multi-tenant environments
Disk IO Benchmarking in shared multi-tenant environments
 
Cloud Computing Oportunidades e Desafios
Cloud Computing Oportunidades e DesafiosCloud Computing Oportunidades e Desafios
Cloud Computing Oportunidades e Desafios
 
The good, the bad and the big... data
The good, the bad and the big... dataThe good, the bad and the big... data
The good, the bad and the big... data
 
CMG 2012 - Tuning where it matters - Gerry Tuddenham
CMG 2012 - Tuning where it matters - Gerry TuddenhamCMG 2012 - Tuning where it matters - Gerry Tuddenham
CMG 2012 - Tuning where it matters - Gerry Tuddenham
 
A Consumerização da TI e o Efeito BYOT
A Consumerização da TI e o Efeito BYOTA Consumerização da TI e o Efeito BYOT
A Consumerização da TI e o Efeito BYOT
 
CMG Brasil 2012 - Uso de Lines nos z196
CMG Brasil 2012 - Uso de Lines nos z196CMG Brasil 2012 - Uso de Lines nos z196
CMG Brasil 2012 - Uso de Lines nos z196
 
Racionalização e Otimização de Energia em Computação na Nuvem
Racionalização e Otimização de Energia em Computação na NuvemRacionalização e Otimização de Energia em Computação na Nuvem
Racionalização e Otimização de Energia em Computação na Nuvem
 
SDN - Openflow + OpenVSwitch + Quantum
SDN - Openflow + OpenVSwitch + QuantumSDN - Openflow + OpenVSwitch + Quantum
SDN - Openflow + OpenVSwitch + Quantum
 
AWS RDS Benchmark - CMG Brasil 2012
AWS RDS Benchmark - CMG Brasil 2012AWS RDS Benchmark - CMG Brasil 2012
AWS RDS Benchmark - CMG Brasil 2012
 

Recently uploaded

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 

Recently uploaded (20)

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 

z/VM Performance Analysis

  • 1. 1 z/VM Performance Analysis Lívio Sousa - livios@br.ibm.com IBM zEnterprise Client Technical Specialist
  • 2. 2 Overview • Guidelines • Commands • *MONITOR • Performance Toolkit • Omegamon XE
  • 3. 3 Definition of Performance • Performance definitions: – Response time – Batch elapsed time – Throughput – Resource consumed per unit of work done – Utilization – Users supported – Phone ringing – Consistency • All of the above
  • 4. 4 Performance Guidelines • Processor • Storage • Paging • Minidisk cache • Server machines
  • 5. 5 Processor Guidelines • Dedicated processors - mostly political – Absolute share can be almost as effective – Gets wait state assist and 500 ms minor time slice – Perhaps not a good idea if you are CPU-constrained – A virtual machine should have all dedicated or all shared processors • Share settings – Use absolute if you can judge percent of resources required – Use relative if difficult to judge and if lower share as system load increases is acceptable – Be aware that share value is split by vCPUs – Do not use LIMITHARD settings unnecessarily • Masks looping users • More scheduler overhead • Use the right number of virtual processors for the guest's workload • Don’t share all available IFLs to all LPARs – Suspend Time can be high
  • 6. 6 Storage Guidelines Virtual-to-real ratio should be <= 3:1 or make sure paging system is robust – To avoid any performance impact for production workloads, you may need to keep ratio to 1:1 – See also http://www.vm.ibm.com/perf/tips/memory.html – VIR2REAL EXEC (Bruce Hayden) http://www.vm.ibm.com/download/packages/descript.cgi?VIR2REAL Define some processor storage as expanded storage to provide paging hierarchy – For more background, see http://www.vm.ibm.com/perf/tips/storconf.html Size guests appropriately – Avoiding over provisioning – Do not put them in a high guest paging position – Right-sized usually means "just barely swapping" Exploit shared memory where possible – IPL your Linux guests from a segment – Use the Linux XIP (execute-in-place) file system Total Virtual storage (all logged on userids): 388308 MB (379.2 GB) Usable real storage (pageable) for this system: 202927 MB (198.2 GB) Total LPAR Real storage: 204800 MB (200.0 GB) Expanded storage usable for paging: 25600 MB ( 25.0 GB) Total Virtual disk (VDISK) space defined: 50176 MB ( 49.0 GB) Average Virtual disk size: 512 MB Virtual + VDISK to Real storage ratio: 2.2 : 1
  • 7. 7 Paging Guidelines • DASD paging allocations less than or equal to 50% – QUERY ALLOC PAGE • Watch blocks read per paging request (keep >10) – Long block runs make paging I/O efficient • Multiple volumes and multiple paths – Remember, one I/O per real device at a time – Use lots of little volumes rather than a few big volumes – Pay attention in Response Time and Wait Queues • Do not mix sizes of paging DASD – Use all -3s, or all -9s, or whatever • Paging to FCP SCSI (EDEVICES) may offer higher paging bandwidth with higher processor requirements – See also http://www.vm.ibm.com/perf/tips/prgpage.html
  • 8. 88 Reorder Processing - Background • Page reorder is the process in z/VM of managing user frame owned lists as input to demand scan processing. – It includes resetting the HW reference bit. – Serializes the virtual machine (all virtual processors). – In all releases of z/VM • It is done periodically on a virtual machine basis. • The cost of reorder is proportional to the number of resident frames for the virtual machine. – Roughly 130 ms/GB resident – Delays of ~1 second for guest having 8 GB resident – This can vary for different reasons +/- 40%
  • 9. 9 9 Reorder Processing - Diagnosing Performance Toolkit – Check resident page fields (“R<2GB” & “R>2GB”) on FCX113 UPAGE report • Remember, Reorder works against the resident pages, not total virtual machine size. – Check Console Function Mode Wait (“%CFW”) on FCX114 USTAT report • A virtual machine may be brought through console function mode to serialize Reorder. There are other ways to serialize for Reorder and there are other reasons that for CFW, so this is not conclusive. REORDMON – Available from the VM Download Page http://www.vm.ibm.com/download/packages/ – Works against raw MONWRITE data for all monitored virtual machines – Works in real time for a specific virtual machine – Provides how often Reorder processing occurs in each monitor interval
  • 10. 10 10 REORDMON Example Num. of Average Average Userid Reorders Rsdnt(MB) Ref'd(MB) Reorder Times -------- -------- --------- --------- ------------------- LINUX002 2 18352 13356 13:29:05 14:15:05 LINUX001 1 22444 6966 13:44:05 LINUX005 1 14275 5374 13:56:05 LINUX003 2 21408 13660 13:43:05 14:10:05 LINUX007 1 12238 5961 13:51:05 LINUX006 1 9686 4359 13:31:05 LINUX004 1 21410 11886 14:18:05
  • 11. 11 11 Reorder Processing - Mitigations • Try to keep the virtual machine as small as possible. • Virtual machines with multiple applications may need to be split into multiple virtual machines with fewer applications. • See http://www.vm.ibm.com/perf/tips/reorder.html for more details. • Apply APAR VM64774 if necessary: – SET and QUERY commands, system wide settings – Corrects problem in earlier “patch” solution that inhibits paging of PGMBKs (Page Tables) for virtual machines where Reorder is set off. – z/VM 5.4.0 PTF UM33167 RSU 1003 – z/VM 6.1.0 PTF UM33169 RSU 1003
  • 12. 12 Minidisk Cache Guidelines • In general, enable MDC for everything • Configure some real storage for MDC • Set maximum MDC limits – SET MDC STOR 0M 256M and SET MDC XSTOR 0M 0M • Disable MDC for – Write-mostly or read-once disks (logs, accounting, Linux swap) – Target volumes in backup scenarios • Better performer than Virtual Disk in Storage (VDISK) for read I/Os
  • 13. 13 Server Machine Guidelines • Server Virtual Machine (SVM) • TCP/IP, RACFVM, etc. • QUICKDSP ON to avoid eligible list • Higher SHARE setting • Ensure performance data includes these virtual machines
  • 14. 14 CP INDICATE Command • LOAD: shows total system load – Processors, XSTORE, paging, MDC, queue lengths, storage load – STORAGE value not very meaningful • USER EXP: more useful than plain USER • QUEUES EXP: great for scheduler problems and quick state sampling – Mostly useful for eligible list assessments • PAGING: lists users in page wait • I/O: lists users in I/O wait • ACTIVE: displays number of active users over given interval • Consider using MONITOR DATA instead for "serious" examinations
  • 15. 15 CP INDICATE LOAD Example INDICATE LOAD AVGPROC-088% 03 XSTORE-000000/SEC MIGRATE-0000/SEC MDC READS-000035/SEC WRITES-000001/SEC HIT RATIO-099% PAGING-0023/SEC STEAL-000% Q0-00007(00000) DORMANT-00410 Q1-00000(00000) E1-00000(00000) Q2-00001(00000) EXPAN-002 E2-00000(00000) Q3-00013(00000) EXPAN-002 E3-00000(00000) PROC 0000-087% PROC 0001-088% PROC 0002-089% LIMITED-00000
  • 16. 16 Selected CP QUERY Commands USERS: number and type of users on system SRM: scheduler/dispatcher settings (LDUBUF, etc.) SHARE: type and intensity of system share FRAMES: real storage allocation PATHS: physical paths to device and status ALLOC MAP: DASD allocation ALLOC PAGE: how full your paging space is XSTORE: assignment of expanded storage MONITOR: current monitor settings MDC: MDC usage VDISK: virtual disk in storage usage SXSPAGES: System Execution Space
  • 17. 17 5,000 Foot View CP Control Blocks Application Data VM Events *MONITOR System Service MONDCSS Segment MONWRITE Utility Performance Toolkit Raw Monwrite History Files TCP/IP Network 3270 Browser VMRM
  • 18. 18
  • 19. 19 Processor REPORT NAME REPORT CODE COMMAND CPU Load and Transactions FCX100 CPU LPAR Load FCX126 LPAR Processor Log FCX144 PROCLOG LPAR Load Log FCX202 LPARLOG User Wait States FCX114 USTAT System Summary FCX225 SYMSUMLG
  • 20. 20 FCX126 Run 2011/09/20 18:00:56 Logical Partition Activity From 2011/09/13 09:19:15 To 2011/09/13 10:09:15 For 3000 Secs 00:50:00 Result of 13092011 Run __________________________________________________________________________________________ Processor type and model : 2817-401 Nr. of configured partitions: 6 Nr. of physical processors : 25 Partition Nr. Upid #Proc Weight Wait-C Cap %Load CPU %Busy %Ovhd %Susp %VMld %Logld Type LPAR1 1 00 24 100 NO NO 89.0 0 94.3 2.1 6.5 92.0 98.4 IFL 100 NO 1 93.4 2.4 7.7 90.8 98.3 IFL 100 NO 2 93.6 2.3 7.4 91.1 98.3 IFL 100 NO 3 93.6 2.4 7.5 91.1 98.4 IFL 100 NO 4 93.6 2.3 7.4 91.1 98.4 IFL 100 NO 5 93.5 2.3 7.5 91.0 98.3 IFL 100 NO 6 93.4 2.4 7.6 90.9 98.3 IFL 100 NO 7 93.2 2.4 7.7 90.6 98.1 IFL 100 NO 8 93.4 2.4 7.5 90.8 98.2 IFL 100 NO 9 93.2 2.4 7.7 90.7 98.2 IFL 100 NO 10 93.1 2.5 7.8 90.4 98.0 IFL 100 NO 11 93.2 2.4 7.7 90.6 98.0 IFL 100 NO 12 93.4 2.4 7.5 90.8 98.1 IFL 100 NO 13 93.3 2.3 7.5 90.8 98.1 IFL 100 NO 14 93.3 2.4 7.5 90.7 98.1 IFL 100 NO 15 93.2 2.5 7.6 90.5 97.9 IFL 100 NO 16 91.1 2.9 9.0 88.0 96.6 IFL 100 NO 17 91.3 2.8 8.8 88.2 96.7 IFL 100 NO 18 91.4 2.9 8.9 88.3 96.8 IFL 100 NO 19 91.5 2.7 8.8 88.5 97.0 IFL 100 NO 20 91.7 2.8 8.7 88.6 97.1 IFL 100 NO 21 91.5 2.8 8.9 88.5 97.1 IFL
  • 21. 21 FCX225 Run 2011/09/20 18:00:56 SYSSUMLG System Performance Summary by Time From 2011/09/13 09:19:15 To 2011/09/13 10:09:15 For 3000 Secs 00:50:00 Result of 13092011 Run _________________________________________________________________________________ <------- CPU --------> <Vec> <--Users--> <---I/O---> <Stg> <-Paging--> <--Ratio--> SSCH DASD Users <-Rate/s--> Interval Pct Cap- On- Pct Log- +RSCH Resp in PGIN+ Read+ End Time Busy T/V ture line Busy ged Activ /s msec Elist PGOUT Write >>Mean>> 90.0 1.10 .9293 24.0 .... 117 108 571.2 .4 .0 2610 1051 09:20:15 92.4 1.13 .9059 24.0 .... 117 108 523.0 .5 .0 1992 527.8 09:21:15 92.9 1.07 .9523 24.0 .... 117 108 399.2 .5 .0 1669 301.4 09:22:15 93.2 1.08 .9458 24.0 .... 117 108 557.4 .3 .0 2817 633.9 09:23:15 94.5 1.07 .9535 24.0 .... 117 108 590.3 .3 .0 1410 482.7 09:24:15 93.4 1.07 .9537 24.0 .... 117 108 649.5 .4 .0 2363 488.5 09:25:15 90.4 1.09 .9347 24.0 .... 117 108 684.7 .4 .0 2485 768.9 09:26:15 92.4 1.08 .9436 24.0 .... 117 108 666.8 .4 .0 2940 1215 09:27:15 90.9 1.09 .9344 24.0 .... 117 108 607.2 .4 .0 3179 726.7 09:28:15 92.2 1.08 .9469 24.0 .... 117 108 664.2 .5 .0 2179 896.0 09:29:17 90.8 1.10 .9318 24.0 .... 117 108 645.9 .6 .0 3404 804.5 09:30:16 89.5 1.19 .8579 24.0 .... 117 108 670.8 .7 .0 5402 3487 09:31:15 92.7 1.08 .9412 24.0 .... 117 108 588.7 .4 .0 3091 1807 09:32:15 91.2 1.09 .9421 24.0 .... 117 108 602.8 .3 .0 2635 1076 09:33:16 89.3 1.14 .9047 24.0 .... 117 108 255.2 .5 .0 3140 710.5 09:34:15 88.5 1.10 .9374 24.0 .... 117 108 205.2 .6 .0 2513 897.4 09:35:15 85.9 1.12 .9257 24.0 .... 117 108 320.4 .5 .0 3117 953.5 09:36:16 86.1 1.13 .9144 24.0 .... 117 108 213.5 .5 .0 3642 1144 09:37:16 83.0 1.14 .9090 24.0 .... 117 108 245.6 .5 .0 3414 2133
  • 22. 22 REPORT NAME REPORT CODE COMMAND Auxiliary Storage Log FCX146 AUXLOG CP Owned Device FCX109 DEVICE CPOWNED User Page Data FCX113 UPAGE Shared Data Spaces FCX134 DSPACESH SXS Available Page Queues Mgnt FCX261 SXSAVAIL Mini Disk Storage FCX178 MDCSTOR Storage Utilization FCX103 STORAGE Available List Log FCX254 AVAILLOG Storage
  • 23. 23 FCX109 Run 2011/05/31 17:44:26 DEVICE CPOWNED Load and Performance of CP Owned Disks From 2011/05/12 16:48:41 To 2011/05/12 17:31:41 For 2580 Secs 00:43:00 Result of 20110512 Run _______________________________________________________________________________ Page / SPOOL Allocation Summary PAGE slots available 25165k SPOOL slots available 3605928 PAGE slot utilization 25% SPOOL slot utilization 65% T-Disk cylinders avail. ....... DUMP slots available 0 T-Disk space utilization ...% DUMP slot utilization ..% . . . . . . . . . . _____ . .< Device Descr. -> <------------- Rate/s -------------> User Serv MLOAD Volume Area Area Used <--Page---> <--Spool--> SSCH Inter Queue Time Resp Addr Devtyp Serial Type Extent % P-Rds P-Wrt S-Rds S-Wrt Total +RSCH feres Lngth /Page Time EDF1 9336 ZDPAG1 PAGE 12583k 25 196.5 199.9 ... ... 396.4 .0 0 8.18 5.5 88.0 EDF2 9336 ZDPAG2 PAGE 12583k 24 194.2 206.1 ... ... 400.4 .0 0 7.23 6.0 58.4 4374 3390 610SP1 SPOOL 802880 61 .0 .0 .0 .0 .0 .1 0 0 .4 .4 4672 3390 610SP2 SPOOL 803060 68 .0 .0 .0 .0 .0 .0 0 0 1.0 1.0
  • 24. 24 I/O REPORT NAME REPORT CODE COMMAND General I/O Device FCX108 DEVICE SCSI Device FCX249 SCSI DASD Performance Log FCX131 DEVCONF FICON Channel Load FCX215 INTERIM FCHANNEL General I/O Device Data Log FCX168 DEVLOG I/O Processor Log FCX232 IOPROCLG
  • 25. 25 Studying MONWRITE Data • z/VM Performance Toolkit • Interactively – possible, but not so useful • PERFKIT BATCH command – pretty useful – Control files tell Perfkit which reports to produce – You can then inspect the reports by hand or programmatically • See z/VM Performance Toolkit Reference for information on how to use PERFKIT BATCH • PRFIT (Brian Wade) http://www.vm.ibm.com/download/packages/descript.cgi?PRFIT
  • 26. 26 26 Some Notes on z/VM Limits • Sheer hardware: – z/VM 5.2: 24 engines, 128 GB real – z/VM 5.3: 32 engines, 256 GB real – zSeries: 65,000 I/O devices • Workloads we’ve run in test have included: – 54 engines – 440 GB real storage – 128 GB XSTORE – 240 1-GB Linux guests – 8 1-TB guests • Utilizations we routinely see in customer environments – 85% to 95% CPU utilization without worry – Tens of thousands of pages per second without worry • Our limits tend to have two distinct shapes – Performance drops off slowly with utilization (CPUs) – Performance drops off rapidly when wall is hit (storage) Performance Utilization Precipitous (e.g., storage) Gradual (e.g., CPUs)
  • 27. 27 Some Final Thoughts • Define what is performance for your case • Collect data for a base line of good performance • Implement change management process • Make as few changes as possible at a time • Relieving one bottleneck will reveal another
  • 28. 28 OBRIGADO! Informações de Contato: Livio Sousa IBM Tutóia – SP livios@br.ibm.com +55 11 9 7203 6637