JBoss AS 5 Performance Tuning. Build faster, more efficient enterprise Java applications

Spis treści książki

• JBoss AS 5 Performance Tuning
  • Table of Contents
  • JBoss AS 5 Performance Tuning
  • Credits
  • About the Author
  • About the Reviewers
  • www.PacktPub.com
    • Support files, eBooks, discount offers and more
      • Why Subscribe?
      • Free Access for Packt account holders
  • Preface
    • What this book covers
    • What you need for this book
    • Who this book is for
    • Conventions
    • Reader feedback
    • Customer support
      • Errata
      • Piracy
      • Questions
  • 1. Performance Tuning Concepts
    • Preface
    • What you will get from this book?
    • What is performance?
    • Scalability: the other side of performance
    • The tuning process
      • Tuning in the software development cycle
      • Building the performance test
        • Establish a baseline
        • Collect data
          • How long should data collection last?
        • Analyze data
        • Configure and test again
    • Tuning Java Enterprise applications
      • Areas of tuning
    • Summary
  • 2. Installing the Tools for Tuning
    • Welcome to scientific tuning
      • The rationale behind the choice of the tools
    • Profiling the Java Virtual Machine
      • Installing the JVM
      • Installing VisualVM
        • Connecting to a local server
        • Connecting to a remote server
      • Monitoring your server
        • The Monitor tab
        • The Threads tab
        • The Profiler tab
      • Collecting snapshots
      • Extending VisualVM
    • Profiling your applications with Eclipse Test and Performance Tools Platform (TPTP) Project
      • Installing the TPTP suite
        • Updating Eclipse
      • How to profile an application
        • Going beyond the basics of TPTP
    • Load testing your application with JMeter
      • Building a Test Plan
        • Step 1: Create a Thread Group
        • Step 2: Create a Sampler
        • Step 3: Create a Listener
        • Making your test plan a bit more realistic
      • How to create a complex Test Plan
      • Running JMeter as a shell
    • Operating system tools and commands
      • Windows users
      • Unix users
        • Dealing with low CPU utilization
        • Dealing with high CPU utilization
        • Dealing with high resource contention
        • Dealing with high disk utilization
    • Summary
  • 3. Tuning the Java Virtual Machine
    • The starting point
    • Choosing the JVM settings
      • Setting the correct heap size
        • The correct amount of memory to grant your application
          • Step # 1: Finding the maximum heap (-Xmx)
          • Step # 2: Finding the initial heap size (-Xms)
        • I cannot allocate enough memory for the JVM!
        • Where do I configure JVM settings in JBoss AS?
      • Sizing the garbage collector generations
    • Which is the correct ratio between the young and old generations?
      • The garbage collector algorithms
      • Choosing the right garbage collector for your application
        • The G1 garbage collector
      • Debugging garbage collection
      • Making good use of the memory
        • Avoid creating large Java objects
        • Handling Out of Memory' errors
        • Finding the memory leak in your code
    • A practical example
      • Application description
      • Setting up a test bed
        • Benchmark aftermath
          • Consideration #1
          • Consideration #2
          • Action
          • Further optimization
    • Summary
  • 4. Tuning the JBoss AS
    • From release 4.x to 5.x, and on
      • Comparing server releases
      • Creating a custom application server configuration
    • JBoss AS pools
      • The System thread pool
        • Finding out if the System thread pool is a bottleneck
      • JDBC connection pool
        • Calculating the optimal min-pool-size and max-pool-size
        • Using Prepared Statements efficiently
          • Two things to be aware of:
        • Detecting connection leaks
        • Should you reuse connections or acquire new ones from the pool?
    • Logging for performance
      • Choosing the best logging strategy
        • Which is the fastest appender?
        • Should I use the AsyncAppender to improve my log throughput?
        • Which layout should I choose for my logs?
        • Is it enough to increase the log threshold to get rid of log charge?
        • How does logging hierarchy influence performance?
    • Summary
  • 5. Tuning the Middleware Services
    • Introduction to Enterprise Java Beans
      • Session Beans
        • How to configure the optimal size for stateless pool?
        • How to configure the optimal size of stateful cache?
        • Comparing SLSBs and SFSBs performance
          • When things get wilder
          • Is it possible that Stateful Beans are faster then Stateless Beans?
        • Session Beans and Transactions
          • Customizing JBoss EJB container policies
          • Customizing the single deployment unit
    • Introduction to the Java Messaging system
      • Entering the JBoss Messaging system
      • Tuning JBoss JMS provider
        • Tuning JBoss Messaging (JBoss AS 5.x)
          • How do you tune the JBoss Messaging Connection factory?
          • How do you tune JBoss Messaging destinations?
        • Tuning HornetQ (JBoss AS 6.x)
          • How to configure HornetQ journal for optimal performance?
          • How do you configure HornetQ transport for optimal performance?
        • Basic JMS tuning
    • An example use case with HornetQ
    • Summary
  • 6. Tuning the Persistence Layer
    • Designing a good database
      • Reducing the space needed by your database
      • Partitioning the database
      • Using indexes
    • Tuning JDBC
      • Using a Connection Pool
      • Setting the proper fetch size
      • Use batch updates for bulk insert/updates
      • Use Prepared Statements instead of Statements
      • Tuning JDBC networking
    • Tuning Hibernate and JPA
      • Optimizing object retrieval
        • Limiting the amount of data fetched with pages
        • Fetching parent and child items with a single query
          • Combining join fetches and paging
        • Speeding up your Hibernate queries with batches
        • Using named queries to speed up your queries
      • Improving the performance of bulk SQL statements
    • Evaluating using caches to speed up your queries
      • Hibernate caches
      • The first-level cache
      • The second-level cache
        • Configuring the second-level cache on JBoss AS
      • The query cache
        • Entity cache versus query cache
    • Optimizing data synchronization
    • A sample use case
    • Summary
  • 7. JBoss AS Cluster Tuning
    • Introduction to JBoss clustering
    • Configuring JGroups transport
      • How to optimize the UDP transport configuration
      • How to optimize the JGroups' Protocol stack
    • Tuning JBoss Cache
      • Understanding JBoss Cache configuration
        • Configuring cacheMode
        • Configuring cache concurrency
          • Configuring the isolationLevel
    • Tuning session replication
      • Override SFSB's isModified method
      • Use buddy replication
        • Advanced buddy replication
        • Buddy replication and session affinity
      • Configure replication granularity and replication trigger
        • How to configure the replication-trigger
        • How to configure the replication-granularity
      • Tuning cache storage
        • Where does cache data get stored?
    • Summary
  • 8. Tomcat Web Server Tuning
    • JBoss Web server basics
      • Configuring Connectors for optimal performance
        • How do you calculate the threads for your application?
          • A concrete example
        • The long life of Web threads
        • Is there a maximum amount of connections the Web server can handle?
      • Using Apache Portable Runtime
      • Integrating JBoss Web server with Apache Web server
        • Load testing Apache-JBoss connectivity
      • mod_cluster to the rescue?
      • Last tips before rolling JBoss Web server in production
    • Summary
  • 9. Tuning Web Applications on JBoss AS
    • Choosing a framework for your web applications
      • Comparing framework performance
        • The performance of tabular data
        • The performance of rich tree
      • Increasing the performance of JSF and RichFaces
        • Configuring JSF state saving efficiently
        • Using Ajax to speed up your JSF applications
        • Speeding up CSS and JavaScript file loading
    • Tuning web services
      • Performance of web services
        • Elements influencing the performance of web services
        • Reducing the size of SOAP messages
        • Faster JBossWS provider
          • The wisdom behind these benchmarks
    • Summary
  • A. A Tuned Mind
  • Index

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