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Architecting the Network for SharePoint 20102007 Presented by Michael Koyfman Solution Architect.

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Presentation on theme: "Architecting the Network for SharePoint 20102007 Presented by Michael Koyfman Solution Architect."— Presentation transcript:

1 Architecting the Network for SharePoint Presented by Michael Koyfman Solution Architect

2 2 F5 Continues to be #1 in the WW Application Delivery Controller Market for Q110 Q110 Gartner ADC Market Share SOURCE: Gartner Cisco 22.4% F5 NETWORKS 44.2% Others 13.9% Radware 8.8% Citrix 10.6% Q110 ADC* Market Share Leaders –F5 :44.2% –Cisco:22.4% –Citrix: 10.6% Q110 ADC Market Share Revenue Leaders –F5: $126.4 Million –Cisco: $64 Million –Citrix: $30.4 Million Q110 ADC Q/Q Revenue Growth –F5: 12.5% –Cisco: -8.6% –Citrix: -15% Q110 ADC Total Market Numbers –Revenue: $285.7 Million –Q/Q Revenue Growth: 1% *Application Delivery Controller (ADC) Segment Includes: Server Load Balancing/Layers 4-7 Switching and Advanced (Integrated) Platforms

3 3 F5 Dominates in Advanced Platform ADC Segment for Q110 Q110 Gartner Advanced Platform ADC Market Share SOURCE: Gartner Citrix 15.7% F5 NETWORKS 61% Radware 10.5% Others 13.8% Q110 Advanced Platform ADC* Market Share Leaders –F5: 61% –Citrix: 15.7% –Radware: 10.5% Q110 Advanced Platform ADC Market Share Revenue Leaders –F5: $126.4 Million –Citrix: $30.4 Million –Radware: $21.7 Million Q110 Advanced Platform ADC Q/Q Revenue Growth –F5: 12.5% –Citrix: - 15% –Radware: 2.4% Q110 Advanced Platform ADC Total Market Numbers –Revenue: $207.1 Million –Q/Q Revenue Growth: 4.3% *Advanced Platform Segment Includes: ADCs that integrate several functions (typically more than four) on a single platform (for example, load balancing, TCP, connection management, SSL offload, compression and caching)

4 4 Magic Quadrant for Application Delivery Controllers, 2009 Leadership Position F5 Networks - Strengths F5 Networks has a broad and comprehensive vision with industry-leading understanding of the needs of application development, deployment and management. The vendor has a comprehensive feature set with a full range of extensibility delivered through iRules and iControl, and integration with popular integrated development environments (IDEs), such as Eclipse and.NET/Visual Basic. F5 has developed a very large community of committed users (using F5's DevCentral portal) that helps fuel the use of iRules to solve unique data center application challenges, creating a loyal and engaged user base. F5 has a solid financial position and continued market-leading position. SOURCE Link

5 5 At Home In the Office On the Road SAP Microsoft Oracle Application Delivery Network UsersDatacenter The Leader in Application Delivery Networking

6 6 Purpose: How can the Network be Leveraged to achieve: Scalability –Building the Right Infrastructure to Meet the Current User Load, and Also Allow for Future Growth. High Availability –Architecting the Bullet Proof SharePoint Deployment –Eradicating the Single Points of Failure Performance –Building a SharePoint Deployment with the Best Possible End User Experience

7 7 Load Balancing Concepts User Requests Single Server The Typical Single Server Deployment Users connect directly to the open IP:Port of the Server No redundancy, little scalability

8 8 Load Balancing Concepts User Requests Farm of Servers Introduction of the Load Balancer Hardware Device Different models for capacity Sits in front of the server farm, accepting the user connections, and then dispatching the connection to a chosen server. Most modern LBs are multi-function (caching, compression, rate shaping, firewalling, etc…) Most LBs can load balance multiple types of traffic Instead of a single server, a Load Balancer allows you to scale the number of available servers

9 9 Load Balancing Concepts User Requests Farm of Servers How it works: A properly configured Load Balancer is constantly monitoring the health and availability of the servers in the farm. It will use this information to help it make a load balancing decision. Instead of the User making the connection directly to the server, the User makes a connection to the Virtual Server, which resides on the external facing side of the Load Balancer The Load Balancer will send the connection to a specific server based upon The LB algorithm selected Health & Availability of the servers

10 10 Load Balancing Concepts User Requests Farm of Servers Load Balancing Methods: Some are static Round Robin Ratio Some are dynamic, and try to take certain network and server characteristics into account Least Connections Fastest Server Trending Historically, static methods were preferred, as they tended to have the lightest impact on the Load Balancer, however todays Load Balancers are capable of handling even complex LB algorithms without any performance degradation. F5 recommends using a dynamic LB method with SharePoint.

11 11 Load Balancing Concepts User Requests Farm of Servers Persistence: Once a user is sent to a specific server, do follow on connections/requests need to be sent to the same server? Common Persistence Methods: Source IP Based Cookie Based SSL ID Custom Methods Most SharePoint deployments do not require persistence, however since a SharePoint front end can build an object cache, there is benefit to enabling it. Its recommended to use a combination of Cookie & Source IP based persistence.

12 12 Load Balancing Concepts User Requests Farm of Servers Leveraging a Load Balancer to Eliminate the Single Points of Failure Redundant Load Balancers Instant failover Share state Redundant & Meshed Switch Architecture No single path out to the next hop Spanning Tree support Multihomed Networks Multiple ISP links into the Data Center Multiple Data Centers Global load balancing Is it possible to eliminate all the Single Points of Failure? Is 5 9s of uptime achievable? Realistic?

13 13 What Else Can My Load Balancer Do? User Requests Farm of Servers *Differs by vendor, but most include technologies to alleviate server load, accelerate traffic, and minimize bandwidth utilization. SSL termination Compression Content Spooling TCP multiplexing TCP optimizations Browser optimizations Rate shaping Intelligent Browser Referencing (caching at the browser) Results from using these features with SharePoint 2007 can be found here gid=121 gid=121

14 14 Real-World Performance 1/3 Reduction in Servers 1/3 Reduction in Licenses 1/3 Reduction in Management Time Million 5 Million 95% Fewer Connections 1.87 Terabyte 621 Gigabytes 66% Reduction in Bandwidth 3 Seconds 1 Seconds 200% Faster End-to-End Page Load Time 350 Million Page Hits in 1 Week

15 15 On to SharePoint………

16 16 The Single SharePoint Server Deployment No Redundancy –Complete failure with any piece No Scalability –Measurable maximum capacity –50 to 75 Requests per second max Performance Concerns –Early performance degradation User Requests Single Server: Web Server Application Server Database Microsoft on the Single Server Deployment Good for evaluation Good for very small deployments Benefit of minimal overhead

17 17 Scaling Out The Deployment User Requests Clustered or Mirrored SQL Database Each Server Running Web Server Application Roles The Small Server Farm Common initial deployment Database split from Front End Servers Meets requirements for HA Allows for future scalability 175 to 250 RPS Maximum Front End Servers are responsible for Servicing web requests Application Services, such as Searching Indexing Source :

18 18 Scaling Out The Deployment User Requests Clustered or Mirrored SQL Database Web Servers Application Server The Medium Server Farm Same as the Small Server Farm, however the Application Server has been split from the Web Servers 175 to 250 RPS Maximum Allows the Application Servers CPU intensive functionality (search, excel services, etc) to have dedicated CPU cycles Source:

19 19 Scaling Out The Deployment User Requests Clustered or Mirrored SQL Database Application Servers Web Servers The Large Server Farm All Servers, including Web, Application, and DB are scaled to meet demand Can scale to support Hundreds of thousands of users Availability Work Sheet from Microsoft ecba-4b7d-b9a0-88fac71478a31033.mspx?mfr=true Source:

20 20 Scalability – The Art of Sizing The Challenge is to size the deployment appropriately –How many servers are needed? –How are the server roles split? –What type of hardware should be used? The 2 Sided Sizing Dilemma –Microsoft cant give precise sizing guidelines –Customers cant precisely profile their user base Fortunately, the amount of accurate and reliable sizing information is dramatically increasing

21 21 Scaling the Network vs. Scaling the Servers What needs to be considered when sizing? Is scaling a server infrastructure linear with scaling the network? Considerations for server sizing include How many total users? How many concurrent users on average? Typical behavior of users? Posting, searching…. Etc. How many page views per person? How many users at peak times? How many sites are planned? What hardware architecture is being used? Considerations for network sizing include What are the peak new connections per second? What is the peak number of users/connections? What is the peak bandwidth being consumed? How many servers is the Load Balancer responsible for monitoring? What else will the Load Balancer be doing? Caching, Compression……etc

22 22 BIG-IP Hardware Line-up Dual core CPU 4 10/100/ x 1Gb SFP 1x 160GB HD 4 GB memory 5K TPS / 1 Gb Bulk 1 Gbps max software compression 1 Gbps Traffic BIG-IP 3600 Dual core CPU 8 10/100/ x 1Gb SFP 1x 160 GB HD + 8GB CF 4 GB memory 10K TPS / 2 Gb bulk 1 Gbps max software compression 2 Gbps Traffic BIG-IP 8900 BIG-IP x Dual core CPU 16 10/100/ x 1Gb SFP 2x 320 GB HD (S/W RAID) + 8GB CF 8 GB memory 25K TPS / 4 Gb bulk 5 Gbps max hardware compression 6 Gbps Traffic BIG-IP x Quad core CPU 16 10/100/ x 1Gb SFP + 2x 10Gb SFP+ 2x 320 GB HD (S/W RAID) + 8GB CF 16 GB memory 58K TPS / 9.6Gb bulk 8 Gbps max hardware compression 12 Gbps Traffic BIG-IP 3900 Quad core CPU 8 10/100/ x 1Gb SFP 1x 300 GB HD + 8GB CF 8 GB memory 15K TPS / 3.8 Gb bulk 3.8 Gbps max software compression 4 Gbps Traffic BIG-IP x Quad core CPU 16 10/100/ x 1GB SFP + 2x 10Gb SFP+ 2x 320 GB HD (S/W RAID) + 8GB CF ? 16 GB memory 56K TPS / 9.6Gb bulk 8 Gbps max software compression 20 Gbps Traffic BIG-IP x Hex core CPU 16 10/100/ x 10 SFP+ 10Gbps 2x 320 GB HD (S/W RAID) + 8GB CF 32 GB memory 100K TPS / 15Gb bulk 12 Gbps max software compression 40 Gbps Traffic

23 23 Sizing – Rough Guidelines A single server deployment can handle between 50 to 75 RPS. When scaling out Web Front Ends, assume each one can handle roughly 100 RPS. Assume 85 RPS if Query Search is running on the WFE. According to Microsoft, use the following to determine how many RPS a user will make Light user, access every 180 secs (20/hr), 1 RPS = 180 active users Typical user, access every 100 secs (36/hr), 1 RPS = 100 active users Heavy user, access every 60 secs (60/hr), 1 RPS = 60 active users Extreme user, access every 30 secs (120/hr), 1 RPS = 30 active users References:

24 24 Microsoft SharePoint 2007 Development Hoffman, Foster. Sams Publishing Part I dives into some sizing exercises Sizing Resources Microsoft Office SharePoint Server 2007 Administrators Companion Bill English. Microsoft Press. Chapters 2 & 3 discusses sizing in detail Microsoft Technet Good information with sizing worksheets Microsoft SharePoint Products and Technologies Team Blog Joel Oleson & Mike Watsons Blog Entries – MS IT Case Study

25 25 Sizing Resources HP Sizing and Configuration Tool for Microsoft Office SharePoint Server 2007 Plug in various information about user base, and it returns a full suggested hardware package One of the most comprehensive sizing guides out there. s/Secure/ html

26 26 Sizing Guidelines Database Clustering High Availability and Scalability of SQL back end is achieved via SQL clustering technology. No Load Balancer needed. For replication, both data mirroring and log shipping is supported. Sizing the SQL cluster for Performance and Availability Is there a strategy to maintaining a certain maximum size to a specific SP database? Should I create separate DBs or SQL instances for different SP sites? There is a strategy for SP DB implementation, but it has more to do with making administration (i.e. backups & restores) easier than performance. 404D F885722&displayLang=en

27 27 Sizing Guidelines Database Clustering High Availability and Scalability of SQL back end is achieved via SQL clustering technology. No Load Balancer needed. For replication, both data mirroring and log shipping is supported. Sizing the SQL cluster for Performance and Availability As a guideline, what is the recommended number of Web Front Ends to SQL servers? Best Practices HA Minimum of 2 Authenticated Traffic 4:1* Anonymous Traffic 6:1* Suggested Limit 8:1** *Source **Source

28 28 Sizing vs. Performance Docs 2 Great Resources that compare how sizing affects performance Microsoft Office SharePoint Server 2007 on HP ProLiant servers – performance summary Discusses when to scale up vs. out (more cores vs. more servers) Plan for performance and capacity (Office SharePoint Server) Discusses acceptable performance limits

29 29 High Availability Health Monitoring: How does the appliance determine if the servers are up/down? Load Balancing: How does the appliance distribute traffic to the Front Ends? Persistence: Can (and should) the appliance keep a user attached to the same Front End that they initially attached to?

30 30 Multiple Data Center Challenge Router BIG-IP LTM SharePoint Farm SQL DB Site 1 Client Router BIG-IP LTM SharePoint Farm SQL DB Site 2 Can I deploy SharePoint in Active/Active Redundant DataCenters?

31 31 Multiple DataCenter Challenge Can SharePoint be deployed with Active/Active Redundant DataCenters? Not in any way supported by Microsoft. Router BIG-IP LTM SharePoint Farm SQL DB Site 1 Client Router BIG-IP LTM SharePoint Farm SQL DB Site 2Site 2 Reasoning: SQL replication engine (mirroring/log shipping) just isnt ready to handle real time replication with concurrent SharePoint user access

32 32 Multiple Data Center Challenge Strategies to replace the Active/Active Deployment –Active/Standby Data Centers –Splitting SharePoint Sites, using both Data Centers –Data Center Multihoming

33 33 Multiple Data Center Challenge Router BIG-IP LTM SharePoint Farm Site 1 (Active) Client Router BIG-IP LTM SharePoint Farm SQL DB Site 2 (Standby) Solution 1: Active/Standby DataCenter All users sent to DC1, unless it is no longer accessible. Then all users will be sent to mirrored instanced in DC2 Good solution, the main drawback is the expense.

34 34 Multiple DataCenter Challenge Router BIG-IP LTM SharePoint Farm DC 1 (Active for Site A) (Standby for Site B) Client Router BIG-IP LTM SharePoint Farm SQL DB DC 2 (Active for site B) (Standy for site A) Solution 2: Multiple SharePoint Sites SharePoint split into multiple sites, each using different SQL instances Site A uses Data Center 1 as its primary DC, and Data Center 2 as its backup Multiple Benefits, including no dark fiber. Site A = humanresources.intranet.net Site B = development.intranet.net

35 35 Multiple Data Center Challenge Clustered or Mirrored SQL Database Application Server Web Servers Clustered or Mirrored SQL Database Application Server Web Servers ISP (Link) Load BalancingRouting (BGP) Solution Strategy 3: Multihoming the Data Center

36 36 Multihoming the Data Center BGP Solution Clustered or Mirrored SQL Database Application Server Web Servers Routing (BGP) Solution Use 2 or more separate ISPs to peer with each other, creating a single virtual ISP link. Benefits: ISP Links share IP space, so DNS caching not an issue Drawbacks: Convergence time can be long. Difficult to fully leverage all available bandwidth

37 37 Multiple Data Center Challenge Clustered or Mirrored SQL Database Application Server Web Servers ISP (Link) Load Balancing ISP Load Balancing Multiple ISP links are used. DNS used to direct users in via ISP1, ISP2, ISP3, etc.. Benefits: Performance based usage of ISP links Better Bandwidth Utilization Drawbacks: DNS caching

38 38 Performance Problem: How Can The Content Be Delivered To The End User In The Most Efficient Way Possible? Combination of Technologies

39 39 SSL Acceleration SSL Connections to a server can eat up as much as 30% of available CPU cycles. SSL on NT/IIS means up to 37x fewer connections/second SSL Acceleration Devices typically have specialized ASIC processors for terminating SSL. SharePoint officially supports SSL offloading SSL/TLS Encrypted Clear Text HTTP –* Source: Networkshop Scaling eCommerce Infrastructure

40 40 Business Benefit The F5 Solution Control Bandwidth Usage KaZaa & Video Conferencing Oracle HTTP Traffic 4x 3x 2x 1x Client Rate Shaping + iRules - Bandwidth management to prioritize high-priority applications over P2P traffic and other low-priority applications Packet Filtering - Selective filtering of P2P sites based on protocol, addresses, and/or ports Control bandwidth usage and spending Minimize impact on business- critical applications Get more bandwidth from the same size pipe Control traffic spikes Control per application, per protocol, per user

41 41 Fast Cache Unmatched Flexibility Provides Superior Application Offloading Intelligent memory based cache Full support for static and dynamic content Exclusive Multi-Store caching for prioritized application service Superior caching of pre-compressed content Most advanced cache controls - iRules

42 42 HP / F5 Joint SharePoint 2007 Best Practices & Deployment Guide Joint performance testing to determine best practices for accelerating SharePoint 2007 & 2010 Over 100 separate tests ran & recorded, with varying network conditions, such as latency, packet loss, & bandwidth Whitepaper (results) posted:

43 43 HP Results Internet – asymmetric BIG-IP LTM with WebAccelerator solution While not able to provide all the capabilities and benefits of a symmetric solution, results show that deploying a single BIG-IP LTM with WebAccelerator appliance in this scenario will have measurable benefits in terms of increased throughput and in providing users with an improved experience. – Typical throughput improvements for the 6Mbps and 1536Kbps tests approached a factor of 2 (double the throughput). Again, it was not possible to emulate sufficient load for the 44Mbps tests to drive the accelerated WAN to capacity, but the trends are similar to the 6Mbps tests and the same degree of improvement should be expected. – The hits-per-page ratio dropped from 3:1 (un-accelerated) to about 1.2:1 (accelerated) showing a good degree of protocol optimization. – Average page (response) times showed improvements ranging from factors of between 3 and 5 (that is, some functions took one fifth of the time). – Client LAN traffic was reduced to 75% of the un-accelerated cases. – A good level of compression was achieved, but note that the users browsers are used to un-compress the data and need to be set to do so.

44 44 Branch Office Scenario Results Average time for a Document Open decreased 12x Average time for a Page Open decreased by over 6x

45 45 Internet Scenario Results Average Page Open Time decreased by over 60% Average Search Time decreased by over 40%

46 46 Questions to ask ANY vendor Give me your SharePoint Story –What testing have you done with SharePoint? –What SharePoint specific development efforts have you undertaken?

47 47 Questions to ask ANY vendor How do you determine server availability and health? Whats the recommended method of distributing traffic? What methods does the appliance have for persisting users?

48 48 F5 Resources F5 SharePoint 2010 Deployment Guide HP F5 SharePoint Acceleration Doc audienceid=0&ccid=0&langid=121 F5 Microsoft Business Development Team Jeff Bellamy–Business Development Director for the Microsoft Partnership – – Ryan Korock – Senior Solutions Architect – – James Hendergart – Business Development Manager – – Helen Johnson – Solutions Engineer – –

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