SharePoint 2010 Boost your farm performance!

Boost the Performance of SharePoint Today!

ABOUT BRIAN CULVER  SharePoint Solutions Architect for Expert Point Solutions  Based in Houston, TX  Author  SharePoint 2010 Unleashed  Various White Papers  Speaker and Blogger

SESSION AGENDA What is Performance? Infrastructure Performance Hardware Performance SharePoint Performance Testing Performance

WHAT IS POOR PERFORMANCE? Increased end user response time Reduced overall system throughput

INFRASTRUCTURE PERFORMANCE Active Directory Exchange Desktops Network Topology SharePoint Farm  Web Front Ends  Application Servers  Database Servers

SHAREPOINT FARM PERFORMANCE 3-4 Web Servers per DC 8 Web Servers per SQL Server Bandwidth and Latency<1 ms Workflow Running Search: Indexing  iFilters # of servers  Scheduling and throttling of crawling

SEARCH PERFORMANCE Crawl Time: How long does the overall time the crawl takes? Corpus Size: How big is the corpus size? Indexing Speed: How many documents are being indexed per second?

SEARCH PERFORMANCE Grouping content sources by speed  Tuning crawling  Protocol  Authentication Choosing multithreaded iFilters  Adobe ($) vs FoxIt ($$$) Proper infrastructure  Dedicated Query Apps vs Distributed Query Apps

SHAREPOINT FARM PERFORMANCE Authentication Performance # of round trips  Processing speed of provider Fastest to Slowest  Anonymous  Kerberos  NTLM  Basic  Forms and WebSSO

SHAREPOINT FARM PERFORMANCE Which Machines cause the bottleneck? New 2010 Performance Counters Watch  CPU  Memory  Disk I/O  Network

SHAREPOINT FARM PERFORMANCE Requests per Second (RPS): How many requests you can service? RPS is used for measuring how many pages are delivered. It can measure how many searches are executed. Requests per Hour (RPH): Average user requests in an hour. Page Time (TTLB): How long it takes to deliver a page back to the client? Used in conjunction with RPS For example, our farm needs to deliver 100 RPS and pages should reach the client within 5 seconds.

SHAREPOINT FARM PERFORMANCE Currency Rate: 10% Active Requests: 1% Usage profiles  Light (20 RPH) – Readers/Visitors  Typical (36 RPH) – Readers/Writers (discussions/lists/etc.)  Heavy (60 RPH) - Readers/Writers (Upload some/ MySites/publishing/libraries/etc.)  Extreme (120 RPH) – Lite Readers/Constant Writers (Upload/MySites/publishing/RSS/Many Sites/etc.)

SHAREPOINT FARM PERFORMANCE How many RPS are needed for your farm? Actual: Use historical data  IIS Logs, Web Trends, etc. Estimate: Number of Active Users  (# users) x (# operations per usage profile)  Factor in concurrency

SHAREPOINT FARM PERFORMANCE Example: 100k users, 20k active, concurrency 5% to 10% peak 10% light, 70% typical, 15% heavy, 5% extreme  20k x 20 x .1 = 40,000 RPH  20k x 36 x .7 = 504,000 RPH  20k x 60 x .15 = 180,000 RPH  20k x 120 x .05 = 120,000 RPH  844,000 / 3600 = 235 RPS  235 x .1 = 23.5 RPS required

SHAREPOINT FARM PERFORMANCE What can our farm support? Input/Output Operations Per Second (IOPS): Storage vendors publish IOPS for their hardware.  Derive speed needs from RPS calculations  Derive backup needs from content size  1 IOP per RPS  1 IOP = 1 RPS Measured with tools such as Iometer (originally developed by Intel), Iozone, FIO and Data Test Program (dt).

SHAREPOINT FARM PERFORMANCE Example: 100k users, 20k active, concurrency 5% to 10% peak 10% light, 70% typical, 15% heavy, 5% extreme  Our farm requires 23.5 RPS (IOPS)  Our farm supports 200 IOPS  Success! Our farm is well above the required. Plan for 10 IOPS per AVG hourly RPS  Handle peak loads!  Success! Our farm can handle peak loads.

SHAREPOINT FARM PERFORMANCE Understand SharePoint workload  Use RAID 10 over other RAID ##  And yes, RAID 10 for SharePoint is better than RAID 5 Separate your database files  ** Tempdb is the most heavily used DB **  Place different databases on different volumes  Log files separate from data files  SQL Server files separate from other uses (e.g. OS files)  Separate your files according to I/O workload.  A single volume may be fast enough to handle several databases.

COMMON PERFORMANCE PROBLEMS Large Lists Lots of Web Parts importing non-cached data from various places Cross-List queries and CBQ Web Parts Too Deep Site Structures Too many sites in a site collection Too many site collections in a Content DB Too many ACLs

SHAREPOINT PERFORMANCEWe will discuss the following: Large List Control Performance Throttling Developer Dashboard  Good for IT Pros and Developers alike Caching IIS 7.0 Content Query Web Part

LARGE LIST CONTROLSo what is new? Lists and Libraries hold 50,000,000 items Recommended List View Size:  Why 2000 or 5000? Server Overload Solution: List View Throttling

LIST VIEW THROTTLING Limits the number of list items returned per view.  Operations that exceed this limit are prohibited. Recommended to configure at the Web Application level. Default List View Threshold values:  5000for Users  20000 for Auditors and Administrator

LIST VIEW THROTTLING List can be configured individually via API Daily Time Window for Large Queries: Turn off Throttling during a daily window  Comes with a Warning List View Lookup Threshold: How many complex fields are allowed  Lookup, Person/Group, or workflow status fields  Result in JOINs

PERFORMANCE THROTTLING HTTP Request Monitoring and Throttling: Throttle Performance during high server load  SharePoint monitors performance counters and uses threshhold values  Get 503 request errors  Timer Job fails to start  PUT request still allowed Search can trigger performance throttling and cause issues

PERFORMANCE THROTTLING Protects the server during peak loads. Monitors:  Available Memory  CPU %  ASP.NET Queue  Wait time in queue Checked every 5 seconds  3 over limit start throttling, logs events  1 below limit stop throttling Configure via PowerShell and Object Model Adds/Remove counters via Object Model

DEMO List View Throttling and Load Performance Throttling

LIST VIEW THROTTLING

CACHING Page Output Cache: for generated HTML markup for future requests  Cache frequently used Lists and reduce round trips to the database Object Cache: for common objects and query results  Content Query Web Part  List Views Disk-Based (BLOB) Cache: for commonly requested files on WFE disks  Automatically cache BLOBs and reduce round trips to the content databases

CACHING Configure caching via the Site Settings Configure caching via web.config for Web Applications.  Web.config overrides the Site Settings.

CachingDEMO

IIS 7.0 PERFORMANCE Design pages for fast downloading and rendering Lazy loading of large JavaScript files Clustering images  Reduce image requests Reduce the number of secured items in pages  Each secured request results in two roundtrips  Validate credentials  Enumeration of groups the user belongs to Leverage IIS Compression

IIS 7.0 PERFORMANCE Reduce amount of data sent to client and reduce the number of trips a browser makes. View State Caching and Reduce Payload.  Cache View State to be used in subsequent post- backs  Minify JavaScript  Remove redundant white spaces and new lines  Reduce File Requests  Merge multiple JavaScript/CSS files in one request

IIS 7.0 PERFORMANCE Increase static and dynamic compression level to 9 Appcmd.exe set config -section:httpCompression - [name=gzip].staticCompressionLevel:9 - [name=gzip].dynamicCompressionLevel:9 Change dynamic compression CPU utilization threshold range from 20-75% APPCMD.EXE set config – section:httpCompression /dynamicCompressionDisableCpuUsage:75 APPCMD.EXE set config –section:httpCompression /dynamicCompressionEnableCpuUsage:20 Enable caching before insertion into page output cache APPCMD.EXE set config –section:urlCompression /dynamicCompressionBeforeCache:true

IIS CompressionDEMO

CONTENT QUERY WEB PART Powerful web part for aggregating and rolling up information from various sources. Designed to leverage the object cache by caching the query results.  In MOSS 2007, Disabled by default  In SP 2010, Enabled by default Best performance when content shares the same permissions and doesn’t change often.

CUSTOM CODE Common cause for poor performance Custom inefficient features

PLAN FOR SOFTWARE BOUNDARIES Helps understand the tested performance and capacity limits of SharePoint Role Specifications 1 dual core Intel Xeon 2.8 Stand-alone computer gigahertz (GHz) 64-bit processor, 2 gigabytes (GB) RAM 2 dual core Intel Xeon 2.8 GHz 64- Web server computer bit processors, 4 gigabytes (GB) RAM Database computer running 4 dual core Intel Xeon 2.8 GHz 64- Microsoft SQL Server bit processors, 32GB RAM Pentium III 1.2 GHz processor, 1 Client computers GB RAM

TESTING PERFORMANCE SharePoint Load/Performance Testing population tools, performance tuning techniques

DEVELOPER DASHBOARD Allows monitoring page loads and performance Information:  Times to render page  Page checkout level  DB query info  Web part processing time  Any critical events or alerts

DEVELOPER DASHBOARD

Developer DashboardDEMO

VISUAL STUDIO TEST SUITE Test throughout your testing lifecycle of planning, testing and tracking your progress Use with TFS to automate builds, deployments and testing

FIDDLER Great, light weight tool. Provides quick overview of the website performance. Free It can also records scripts that you can use in VSTS. neXpert: Fiddler Add-on that checks for classic performance best practices and produces a HTML report on the issues found in a Fiddler capture.

YSLOW Analyzes web pages and suggests ways to improve their performance based on a set of rules for high performance web pages. Grades web page based rulesets. Suggests performance improvements, summarizes page components, statistics for the page, and provides tools for performance analysis.

QUESTIONS

BRIAN CULVER, MCMTWITTER:@SPBRIANCULVERE-MAIL:BRIAN.CULVER@EXPERTPOINTSOLUTIONS.COMBLOG:SPBRIAN.BLOGSPOT.COM

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SharePoint 2010 Boost your farm performance!

by Brian Culver on Jan 20, 2011

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SharePoint 2010 Boost your farm performance! — Presentation Transcript