Skip to main content link. Accesskey S
  • Anonymous
  • Log on
  • Help
  • IBM logo
  • WebSphere Portal Family wiki
  • All Wikis
  • Home
  • Community Articles
  • Product Documentation
  • Learning Center


Search

Advanced Search

Categories

Tag Cloud

  • 6.0
  • 6.1
  • 6.1.0.1
  • 6.1.5
  • 7.0
  • 7.0.0.2
  • 8.0
  • actions
  • administrator
  • authoring
  • Banking template
  • best practices
  • blogs
  • builder
  • building a site
  • caching
  • catalog
  • Clickstream Engine
  • clusters
  • ConfigEngine tasks
  • content
  • customizing
  • databases
  • demo
  • deployment
  • deployment scenario
  • developer
  • developing
  • device class
  • elements
  • examples
  • Express
  • feature set
  • fix pack 2
  • Government to Business template
  • info center
  • information center
  • installation
  • installing
  • LDAP
  • Learning
  • libraries
  • LikeMinds Recommendation Engines
  • logging
  • mentors
  • message catalog
  • messages
  • migration
  • mobile
  • mobile devices
  • mobile experience
  • mobile experience 8.0
  • mobile theme
  • mobile webkit
  • MPA
  • multiplatform
  • pages
  • performance
  • personalization
  • planning
  • portal
  • Portal 6.1
  • Portal 8 theme
  • portlets
  • product doc
  • product documentation
  • projects
  • properties
  • Redbooks
  • Redbooks Wiki
  • remember me cookie
  • resources
  • REST
  • Retail Vendor template
  • rules
  • samples
  • search
  • security
  • sifters
  • sites
  • solutions catalog
  • syndication
  • test infrastructure
  • theme
  • theme optimization
  • topologies
  • troubleshooting
  • tutorials on personalization
  • video
  • wcm
  • web content
  • webkit
  • WebSphere Portal
  • WebSphere Portlet Factory
  • wikis
  • workflows
  • worksheet
  • XML configuration interface
  • z/os
  • zos
InformationInformation
You are currently viewing machine translated content. IBM translation might be available. Click IBM Translated Product Documentation to see what is available.X


Home > IBM Redbooks: Building a Web site using Lotus Web Content Management 6.1 > 5.2.7.1 WCM 6.1 Tuning considerations using the River Bend site example
Rate this article 1 starRate this article 2 starsRate this article 3 starsRate this article 4 starsRate this article 5 stars

5.2.7.1 WCM 6.1 Tuning considerations using the River Bend site example 

expanded Abstract
collapsed Abstract
No abstract provided.
Untitled Document

Table of contents | Previous

Tuning Considerations for your WCM site

The following article discusses an approach, together with specific tools for measuring and improving the performance of your Lotus Web Content Management site. We discuss specific recommendations and results within the context of our sample site - RiverBe nd Tea and Coffee Company.

  • Establish metrics: performance testing and optimization can potentially never end. To avoid that, ensure that all the people involved agree about what should be considered a good result before to start. This usually is achieved by defining three values:
    • Maximum response time
    • Minimum responses per second at that time
    • Maximum CPU usage at that time
  •  

  • Perform a basic optimization of your systems:
    • This includes web servers, application servers, Portal Server and WCM instances and databases
    • Basic optimizations like the ones described in (4) shouldn't require lots of time and skills and will ensure more real results for your tests.

 

  • Optimize page load time:
    • Performance testing is an expensive process. Before you start, recheck all the pages that you will test for elements that may impact negatively in the results.
    • Broken links, resources loaded from external URLs or JSP components can be considered “usual suspects”
    • If page load time still doesn't match your expectations check again with your development team what performance improvements can be done

 

  • Run performance tests:
    • Create a test script that simulates a real use case
    • Run tests increasing amount of users and monitor response time and numbers of request per second. This will give them what is the maximum amount of users that the system will support while keeping the response time under the maximum response time.
    • Check the CPU usage during every time both in the load generator and in the WCM server.

 

  • Activate different cache types

 

 

  • Caching in WCM can be performed at three different levels:
    • Web server: using a caching proxy module part of Websphere Edge components
    • Application Server: using WebSphere Servlet Caching to storage the responses generated by the WCM servlet or portlets for future users
    • WCM: elements can be cached on WCM reducing the number of database calls
  • Activate WCM cache and re-run the tests
  • Activate Servlet cache and re-run the tests

 

  • Analyze your results
    • Build tables and graphs with the results and analyze them. If any result doesn't sound right repeat that test to ensure your data doesn't contain exceptions.

 

  • Repeat this optimization / test process until the results match your expectations.

 

  • Move your system to production and ensure that those results will be maintained in the production environment in situations like:
    • Database growths with historical data and versions
    • Other server tasks like full text indexing or syndication are running
    • New functionality is added to the site

 

  • Use a web analytics tool to monitor the real use of your production server. Check that parameters follow the service indicators you defined at the start of the process.

 

Tools for tuning River Bend web site

The following tools were used in testing the River Bend site. Each of these tools is described in detail below.

  • Page analyzer: graphical tool that enables Web system administrators to measure client side performance of Web pages.
  • Load generator: define or record a navigation path and simulate the load of a certain number of users accessing a server by repeating that pattern for a certain number of times concurrently.
  • Cache monitor: for displaying and deleting cache contents during the test process.
  • Page analytics: saves historical navigation data to match real system behavior with the expected results.

 

Page analyzer

Page analyzers are tools that allow developers and administrators to investigate how a certain page will be loaded in the user's browser in order to detect performance or design defects.

Most of these tools uses a time-line paradigm, they show an horizontal line that represents the overall page load and decomposes it to show how individual items are loaded.

Firebug (http://getfirebug.com/) is one of the most popular Firefox plug-ins among web site developers. Firebug provides a powerful set of tools that include a Javascript console and debugger, a DOM inspector, a CSS editor and a page load analyzer.

Firebug page analyzer shows the page load process in a graphical way. Each request is displayed as an independent horizontal bar that represents its load time. Firebug displays even AJAX requests that are thrown after the page have been loaded.

For complex pages, Firebug allow developers to filter the request that are displayed by their type: HTML, CSS, JS, AJAX, Images and Flash.

Firebug can display detailed information about a request including request parameters, headers and response data.

 

One alternative to Firebug is IBM PageDetailer ( http://w3.alphaworks.ibm.com/tech/pagedetailer ):

 

Load generation tool

Load generation tools allow system administrators to test how will a system behave under a certain amount of load before it goes into production. Load generation is a mature discipline and many tools exists, every one with its pros and cons. Some of the most popular ones are:

  • OpenSTA ( http://www.opensta.org ): simple, efficient and free load testing tool.
  • IBM Rational Performance Tester: powerful product ready for enterprise use.
  • Jakarta JMeter (jakarta.apache.org/jmeter): 100% pure Java desktop application designed to load test functional behavior and measure performance. One of the most popular Apache Jakarta's tools.

The load used for River Bend tests was created using a Apache JMeter script:

  • It simulates a user that browses through three different pages (Home → Food → Beverages) taking one second to decide where to go between pages
  • The script gets all the page contents including external resources like images
  • The simulation will be run for 1, 10, 50 ,100, 200 and 500 hundred concurrent users that will be incorporated to the load test during five seconds.

JMeter can display test results in several ways including graphs and tables:

 

Advanced cache monitor

Cache monitors are tools that allow system administrators to monitor and clear the different caches of a system providing a way to know if the cache system are configured in the right way and allowing to clean the cache between tests to be sure that response time won't be affected by elements cached in past tests.

WebSphere Cache Monitor is an EAR installed as part of the WebSphere Application Server default installation but not deployed by default. River Bend administrators followed these steps to successfully use Cache Monitor in their performance tests:

  • Deploy your cache monitor ear under the installableApps folder of your application server:
  • Select Websphere_Portal as the targeted server
  • Give wpsadmin administrator role
  • Patch the default cache monitor with the advanced cache monitor following the instructions in www.ibm.com/developerworks/websphere/downloads/cache_monitor.html

 

Page analytics

The term "page analytics" describes a process that can help to understand how your site is used. WebSphere Portal writes usage records to a dedicated log file.

The format of the log follows industry standards ("NCSA Combined"), you can integrate portal usage data with your preferred reporting and analytics tools.

This article ( http://www.ibm.com/developerworks/websphere/techjournal/0609_liesche/0609_liesch e.html) describes how to derive reports and analytics information based on the data provided by Portal instrumentation and how to use the logs for portal analytics using open source reporting tools.

 

River Bend web site tuning results

By running the tests, River Bend administrators obtained these results :

Caching technique

Users

Average time (ms)

Troughput (requests/second)

No caching

1

67

2.5

10

105

5.2

50

1260

13.6

100

2694

19.4

200

3758

32.1

500

8307

41.9

 

 

 

 

WCM basic caching

10

15

5.4

50

15

25.1

100

22

49

200

587

71.8

500

4062

72.9

 

 

 

 

Servlet caching

10

13

5.4

50

9

25.2

100

10

49.6

200

582

70.4

500

3027

90.1

 

These values were obtained on a development laptop and doesn't represent a WCM performance statement but allowed River Bend administrator to come up with some interesting conclusions:

  • Caching improves significantly WCM performance.
  • The River Bend system can attend more than 70 requests per second while keeping the page response time under one second.

 


expanded Article information
collapsed Article information
Category:
IBM Redbooks: Building a Web site using Lotus Web Content Management 6.1
Tags:
wcm tuning

This Version: Version 7 October 22, 2009 11:58:43 AM by Amanda J Bauman  IBMer

expanded Attachments (0)
collapsed Attachments (0)

 


expanded Versions (2)
collapsed Versions (2)
Version Comparison     
Version Date Changed by               Summary of changes
This version (7) Oct 22, 2009 11:58:43 AM Amanda J Bauman  
5 Nov 10, 2008 2:37:38 PM John Bergland  
expanded Comments (0)
collapsed Comments (0)
Copy and paste this wiki markup to link to this article from another article in this wiki.
Go ElsewhereStay ConnectedSubscribe to RSSHelpAbout
  • All Lotus and WebSphere Portal wikis
  • IBM developerWorks
  • IBM Software support
  • IBM Social Business User Experience Blog
  • IBMSocialBizUX on Twitter
  • IBMSocialBizUX on Facebook
  • Lotus product forums
  • IBM Social Business UX blog
  • IBM Collaboration Solutions
  • Recently added feedRecently added
  • Recently edited feedRecently edited
  • Recently added comments feedRecently Added Comments
  • Wiki Help
  • Forgot user name/password
  • Wiki design feedback
  • Content feedback
  • About the wiki
  • About IBM
  • Privacy
  • Contact IBM
  • IBM Terms of use
  • Wiki terms of use