![Page 1: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/1.jpg)
Design, performance and capacity - Factors of successful intranet
and internet SharePoint sites
Sanjay Narang,Anandan Kumaran,
Singaram Murigappan
![Page 2: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/2.jpg)
Agenda
• Real Life Implementation – www.cognizant.com
• Real Life Case Study – Capacity Planning
• Aspects Of Performance• Capacity Management Model–Model– Design
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www.cognizant.com
SharePoint 2010 Implementation
![Page 4: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/4.jpg)
Publish Content
• Marketing team needs a robust mechanism to publish content effectively without needing specialized technical skill
![Page 5: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/5.jpg)
Content Deployment
Content authored is saved in the authoring server database
Content push by marketing admin
Content authored is moved to the preproduction environment. It allows the user to verify the content before pushing live
Content push by marketing admin
Content is moved from preproduction environment to live environment after verification
Authoring Pre-Production www.cognizant.com
![Page 6: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/6.jpg)
Intuitive User Interface
![Page 7: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/7.jpg)
Intuitive User Interface
![Page 8: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/8.jpg)
Content Authoring
• nt
Content Author needs a mechanism to add/edit content, upload documents without worrying about the layout or having pre-requisite design skills
![Page 9: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/9.jpg)
Author Content
![Page 10: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/10.jpg)
Edit Page
![Page 11: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/11.jpg)
Edit Page Contd.,
![Page 12: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/12.jpg)
Edit Page Contd.,
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Our Approach – Edit View
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Public View
![Page 15: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/15.jpg)
Friendly URLs
Need for friendly URLs that are easier for users to remember and for search engines to find
http://www.cognizant.com/banking-financial-services/Pages/landingPage.aspx
![Page 16: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/16.jpg)
URL Rewrite
• Powerful rules to transform complex URLs into simple and consistent web addresses
• Rule-based URL rewriting engine
• Regular expression pattern matching
• Downloadable
• Download:http://go.microsoft.com/?linkid=9722532
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Configuration - Inbound
• Inbound rules convert the user friendly URLs provided by the users to actual URLs
![Page 18: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/18.jpg)
Configuration - Outbound
• Outbound rules convert the actual URLs to the user friendly URLs
![Page 19: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/19.jpg)
Friendly URL - Output
http://www.cognizant.com/banking-financial-services
![Page 20: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/20.jpg)
URL Rewrite Support
Not officially supported by the Microsoft Product Team
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Faster Site
Need for the site to equally responsive and quick to all users across the globe. The load of users on the application will vary especially during financial results but I need a cost effective solution
![Page 22: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/22.jpg)
SharePoint Out-Of-Box
• Output Caching• Object Cache• This can load but not latency
![Page 23: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/23.jpg)
Content Delivery Network
• Deliver content faster• Scalability• Across the globe users has similar
experience on accessing the site
![Page 24: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/24.jpg)
Capacity Planning and Management
![Page 25: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/25.jpg)
Case Study – Contoso Intranet Portal
• 150,000 users spread across globe• Existing site – The gateway to all other applications– primarily HTML/ASP/JavaScript
• New site– Intranet Publishing on SharePoint Server
2010– Widget based homepage, – Much more content on home page including
Flash videos
![Page 26: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/26.jpg)
Capacity Management
• Capacity Planning– One time sizing– Selection &
Configuration• Data architecture• Topologies (physical
and logical)• Hardware
• Capacity Management– Extends Planning– Cyclic Process– Monitored &
Optimized– Changing
Conditions and Requirements
![Page 27: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/27.jpg)
Analogy
![Page 28: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/28.jpg)
Analogy
![Page 29: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/29.jpg)
Capacity Management Model
![Page 30: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/30.jpg)
Aspects of Performance
• Latency• Throughput • Data Scale• Reliability
![Page 31: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/31.jpg)
capacity management
Model
Model
Design
Pilot, Test,
OptimizeDeploy
Monitor &
Maintain
![Page 32: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/32.jpg)
Definitions and Conventions
• Users– Concurrent Users– Active Users
• RPS
![Page 33: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/33.jpg)
Definitions and Conventions
• User Types
User load Request rate per Hour Seconds for a request per user
Light 20 180
Typical 36 100
Heavy 60 60
Extreme 120 30
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Model
• Determine Workload• Determine DataSet • Set Performance and Reliability
Targets
Model
![Page 35: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/35.jpg)
RPS Estimation (New Env)
Number RPH/User RPHTotal Users 150,000Active Users 50,000
Light (10%) 5,000 20 100,000 Typical (70%) 35,000 36 1260,000 Heavy (15%) 7,500 60 450,000 Extreme (5%) 2,500 120 300,000
Total RPH 2,111,000RPS (RPH/3600) 586Concurrency 50%
Effective RPS 293
Model
![Page 36: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/36.jpg)
• IIS Logs– Take from all servers into a central
location– Take it for one of the peak day
• User Tools – LogParser 2.2
RPS Calculations (Existing Env)Model
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Get RPS per second
logparser -i:IISW3C -o:CSV "SELECT QUANTIZE(TO_TIMESTAMP(date, time), 3600) AS Hour, QUANTIZE(TO_TIMESTAMP(date, time), 1) AS Second, COUNT(*) AS RPS
INTO RPS_No401s.csv FROM *.log WHERE sc-status <> 401 GROUP BY Hour, Second"
Model
![Page 38: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/38.jpg)
Hour Second RPS
6/29/2010 18:00 6/29/2010 18:30 10
6/29/2010 18:00 6/29/2010 18:30 5
6/29/2010 18:00 6/29/2010 18:30 11
6/29/2010 18:00 6/29/2010 18:30 55
--- --- ---
6/30/2010 4:00 6/30/2010 4:32 542
6/30/2010 4:00 6/30/2010 4:32 411
6/30/2010 4:00 6/30/2010 4:32 648
6/30/2010 4:00 6/30/2010 4:32 1450
6/30/2010 4:00 6/30/2010 4:32 1136
6/30/2010 4:00 6/30/2010 4:32 1274
6/30/2010 4:00 6/30/2010 4:32 1150
6/30/2010 4:00 6/30/2010 4:32 1178
6/30/2010 4:00 6/30/2010 4:32 890
6/30/2010 4:00 6/30/2010 4:32 556
6/30/2010 4:00 6/30/2010 4:32 710
--- --- ---
6/30/2010 18:00 6/30/2010 18:29 7
6/30/2010 18:00 6/30/2010 18:29 5
RPS Every Second for 24 Hours
Model
![Page 39: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/39.jpg)
Hour AvgRPS MaxRPS
6/29/2010 18:00 27 229
6/29/2010 19:00 21 188
6/29/2010 20:00 20 178
6/29/2010 21:00 20 202
6/29/2010 22:00 16 153
6/29/2010 23:00 16 184
6/30/2010 0:00 22 168
6/30/2010 1:00 37 194
6/30/2010 2:00 141 646
6/30/2010 3:00 526 1361
6/30/2010 4:00 630 1450
6/30/2010 5:00 508 1261
6/30/2010 6:00 407 981
6/30/2010 7:00 332 988
6/30/2010 8:00 351 1016
6/30/2010 9:00 371 1163
6/30/2010 10:00 385 997
6/30/2010 11:00 475 1320
6/30/2010 12:00 350 977
6/30/2010 13:00 213 641
6/30/2010 14:00 122 439
6/30/2010 15:00 86 436
6/30/2010 16:00 58 345
6/30/2010 17:00 43 338
6/30/2010 18:00 30 213
Avg and MaxRPS Every Hour for 24 Hours
Model
![Page 40: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/40.jpg)
Avoid Image, CSS, JS
• Get File Extensionto_lowercaseEXTRACT_EXTENSION(cs-uri-stem)) • exclude Where clausefext <> ‘jpg’ AND fext <> ‘jpeg’ ANDfext <> ‘gif’ AND fext <> ‘png’ ANDfext <> ‘js’ ANDfext <> ‘css’
Model
![Page 41: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/41.jpg)
ModelDecision Point – Peak or
Average
• Average RPS on a day• Average RPS in a peak hour• Maximum RPS in a peak hour
220
700
1500
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Dataset - Content DBS.No Parameter Value Units Source of Value
AExisting size of all documents (pages, images etc) without versions 40GB Actual size from web servers
BExisting size of all documents (pages, images etc) with all versions 160GB Calculated as in Table 1
CTotal Number of documents with versions 1,600,000 Calculated as in Table 1
DEstimated number of list items per document 2
Approximate assumption based on similar projects
E Total number of list items 3,200,000 C x D
FAvg size of a list item or metadata for a document 10KB
Approximate assumption based on similar projects
G Total size of list items 31GB (E x F)/(1024 x 1024)H Total size of document metadata 15GB (C x F)/(1024 x 1024)I Content DB size for existing content 206GB B+G+H
Model
![Page 43: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/43.jpg)
Content DB Calculations
S.No Parameter Value Units Source of Value
I Content DB size for existing content 206GB B+G+H
JGrowth estimated over next 2-3 years 100% Approximate assumption
K Total size with growth 412GB I + (I x J)/100L Recycle Bin 30%M Total size with Recycle bin 535GB K + (L x K)/100
Model
![Page 44: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/44.jpg)
All Databases Calculations
Parameter Value (in GBs)Content databases for Main Portal site collections 535Custom databases 10Configuration and CA databases 5
Database for Usage and Health data collection SA 200Web Analytics Databases 200Managed Metadata SA 10User Profile SA 300TOTAL 1,260
Model
![Page 45: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/45.jpg)
Overall SQL Server Storage
Storage For Value (GB) %age of DBDatabases 1,260Backup 1,890 150%System 10Transaction Log 252 20%temp db 252 20%Total for Databases 3,664Empty Space (25% of total) 916TOTAL for SQL Server 4,580
Model
![Page 46: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/46.jpg)
Performance and Reliability Targets
• Availability– Numbers of Nines (99%, 99.9%, 99.99%)– Consider• Patch Management• Code Releases
• Server Responsiveness– E.g. < 1 sec
• System Resource Utilization– E.g. Avg CPU < 50% , Available Memory
Model
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Model - Summary
• Total Number of Users – 150,000• Total Request in a day – 18,000,000• Throughput (RPS) – 1500, 700, 220• Storage - 5 TB• Server Response Time < 1 sec
Model
![Page 48: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/48.jpg)
capacity management
Design
Model
Design
Pilot, Test,
OptimizeDeploy
Monitor &
Maintain
![Page 49: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/49.jpg)
Design
• Identify case study• Choose an Architecture• Determine Hardware
Design
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Know SharePoint 2010
• Vs SharePoint 2007– Service Applications & Cross Farm
Publishing
• Oversizing vs. Undersizing• Reference Architectures– Single server, small, medium and large
farms
Design
![Page 51: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/51.jpg)
Constraints and Boundaries
• Site Collection < 100 GB• Content DB < 200 GB• 1 SQL Instance < 5 TB• Content DBs per Web App < 300
Design
![Page 52: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/52.jpg)
Reference ArchitecturesDesign
![Page 53: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/53.jpg)
Reference Architectures
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Identify Case StudyDesign
![Page 55: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/55.jpg)
Case Study - Published Intranet
Workload Characteristics Value
Average Requests per Second (RPS) 100
Average RPS at peak time 226
Total number of unique users per day 33,580
Average concurrent users 172
Maximum concurrent users 376
Total # of requests per day 3,800,000
Design
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DesignC
ase S
tud
y -
Pu
blish
ed
In
tran
et
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Lab - RPS with Authentication Design
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Be Aware of Thumb Rules
• Number of Servers – 1 WFE per 10 K users– 1 SQL server instance per 4 WFEs• 3-5 WFE cores per SQL core
– 1 DC per 3 WFEs
• RAM– 2-4 GB memory CPU core
Design
![Page 59: Design, performance and capacity - Factors of successful intranet and internet SharePoint sites Sanjay Narang, Anandan Kumaran, Singaram Murigappan](https://reader035.vdocuments.net/reader035/viewer/2022070306/551a000f5503462e378b48c2/html5/thumbnails/59.jpg)
Choosing an Architecture
• High Availability– Hardware vs Software Load Balancer for
web servers– Clustering or Mirroring for SQL Server
• Service Applications – Separate farm or same farm
• Search Target– Dedicated or Distributed
Design
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Determining Hardware Server Type Minimum (as per
TechNet)My Recommendation
CPU Web / App 64-bit, 4 cores 64 bit, 8 cores
DB 64-bit, 4 – 8 cores 64-bit, 16 cores
Memory Web/App 8 GB 16 GB
DB 8-32 GB 16-32 GB
Disk Web/App 80 GB 200 + 150 GB
DB As per requirement
IOPS Web/App Minimal
DB As per requirement
Design
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SQL Server RAM Recommendations
Design
Combined size of content databases Recommended RAM Minimum for small production deployments 8 GB
Minimum for medium production deployments 16 GB
Recommendation for up to 2 terabytes 32 GBRecommendation for the range of 2 terabytes to a maximum of 5 terabytes 64 GB
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RAID Levels & IOPS
• RAID 10
Design
Type RAID level Spindles Optimization TempDB [RAID 1+0] 2 IOPS/ GB Write optimized
Transaction Logs [RAID 1+0] 2 IOPS/GB Write optimizedContent databases
[RAID 1+0] (Can have RAID 5, if storage is a constraint)
0.75 IOPS / GB Read optimized
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Design - Summary
• Workload – Published Intranet• Case Study – WCM Lab Results• Architecture– Availability• Hardware Load Balancer• Clustering for SQL Server
– Service Applications in separate farm
• Number of Servers• Hardware Configurations
Design
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Design - Summary
• Number of Servers– Lab results: 4 servers = 3200 RPS, 2
servers = 1700 RPS– Scaled UP SQL server for 5 servers
• Hardware Configurations– RAM oversized because of low cost– Used thumb rule for SQL Memory
Design
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Possible Variations
• Internet Website (anonymous)• Requirement for local services: Office
Web Apps, Excel Services etc.• Data Scale more than 5 TB
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The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and
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