JB439 JBoss Clustering
Clustering is an advanced course focusing on the high availability services of the JBoss Enterprise Middleware System (JEMS), including JGroups, JBoss Cache, load balancing, and more.
Course Description
Clustering is a 4-day training focusing on the high availability services of JBoss Enterprise Middleware products (such as JBoss Enterprise Application Platform). You will learn how JBoss Application Server leverages JGroups and JBoss Cache for replication and fail-over, how to configure, tune and implement JGroups protocol stacks, how to leverage JBoss Cache in your own middleware applications and how to use and configure mod_jk for HTTP load balancing. We will also cover in some detail JBoss Application Server high availability services such as HA-JNDI and HA-singleton.
What you will learn:
Course Outline
The following is an outline of the skills and knowledge represented in the training elements of the JB439 JBoss Clustering Course.
Note: Technical content subject to change without notice. Significant changes in course content will generally be available in posted outlines at least two months prior to being implemented in scheduled courses, to allow enrolled students adequate prep time. Reload this page regularly to insure up-to-date information.
Course content
- Overview to JEMS High Availability Services
- Reliable Multicasting with JGroups
- JGroups Protocols
- Protocol Stacks and Implementation
- JGroups Building Blocks and Troubleshooting
- JBoss Cache Overview and API
- Cache Loaders and Eviction Policies
- Cache Replication, Transactions and Isolation Levels
- POJO Cache Overview and API
- POJO Cache Implementation
- Web Tier Load Balancing and Failover
- EJB Load Balancing and Failover
- JEMS Clustered Services
This module gives you an
overview of the JBoss AS platform, how it integrates different JEMS products and
where high availability features should be considered for mission-critical
deployments. We give an architectural overview to which services benefit from
replication, load balancing and fail-over and where we JBoss AS utilizes JEMS
products such as JBoss Cache, JGroups and mod_jk.
Introduction to JGroups group
communication protocol. JGroups is the underlying network level library utilized
by most JEMS product to achieve high availability. This module gives you an
overview into what JGroups is, and how to use the JGroups API. We introduce
you to the concepts of JGroups channels, groups, views, events and messages.
This module gives a detailed description of different
network protocols available in JGroups. We discuss different protocol
implementations for reliable network transport, discovery, group membership,
failure detection, message ordering, security and state transfer.
In this module we discuss the JGroups
protocol stack architecture, how different protocols may be assembled together,
how they are implemented and finally, how to add your own protocol
implementation into JGroups protocol stack.
JGroups building blocks are
higher level implementations on top of JGroups protocol stack that help you
implement common tasks using JGroups library. In this module we introduce you
to the available default implementations, e.g. an RPC invocation implementation
across replicated objects using JGroups. We will also look at common issues to
troubleshoot when configuring and setting up your network for JGroups.
This module introduces you to JBoss Cache -
architecture overview, features and API. You will learn how to manage the tree
structure of JBoss Cache, creating and removing nodes and modifying data in
the cache. JBoss Cache builds on top of the JGroups library and is a key
technology in implementing high availability services in JBoss AS.
Cache loading and eviction policies are
critically important to understand how to manage the life cycle of cached data
with JBoss Cache. In this section we cover cache loaders which mandate under
what policies data is moved from persistent stores into memory cache. Eviction
policies allow you to configure and manage the data while in the cache and
decide under what conditions data should be evicted back to your datastore.
This module gets into
details on different usage scenarios with JBoss Cache. It will help you to
understand the different replication modes with JBoss Cache - asynchronous
and synchronous replication - and the implication of replication mode to
application performance. We will also learn how to use transactional access to
the JBoss Cache, how to set different isolation levels for the cached data, and
how the transaction and isolation levels affect the locking performed by JBoss
Cache.
In this section we look at an advanced version of JBoss Cache (POJO Cache) that utilizes the JBoss AOP framework for efficient implementation of data replication. We will see how the AOP version of JBoss Cache differs in architecture, the changes in the cache API and how POJO Cache manages Java objects inserted into cache differently from other JBoss Cache providers.
This module goes into deeper detail on JBoss Cache implementation. We see how POJO Cache is leveraged to dynamically introduce interceptors to cache objects, how we can transparently keep track of the exact data changes in POJO Cache, how complex Java objects are automatically mapped into an AOP-enabled cache, the use of collections in cached data sets and more.
In this module we move up one
abstraction level and start looking at how high availability features are
implemented at JBoss Middleware and J2EE component level. We start with
HTTP session replication and see how JBoss Cache is used to implement it. We
continue by looking at mod_jk features and how to implement load balancing, hot
stand-by and domain clustering when combining Tomcat servlet container with
native web servers.
This module looks into EJB components,
recap on the proxy architecture and how we can leverage services on top of
JGroups to implement load balancing and failover. We will also learn how to
customize and implement your own load balancing policies with EJBs. We will
also cover in more detail the naming implementation used with EJBs and how it
implements high-availability.
We look at how to easily replicate service
implementations (singletons) in a clustered JBoss AS environment. We discuss
master-slave scenarios and how fail-over works with clustered MBeans. We will
also study how to enable datasource failover with JBoss AS and discover the
implementation details behind HA-JNDI and HA-RMI.
Part of The JBoss Enterprise Framework Platform curriculum, which includes:
- JB163 JBoss Portal
- JB267 JBoss: Advanced Hibernate
- JB439 JBoss Clustering
- JB449 JBoss jBPM
- JB451 JBoss Rules
- JB453 JBoss ESB
- MM157 MetaMatrix Introduction
Prerequisites:
Completion of the JBoss for Advanced J2EE Developers course is strongly recommended before taking this course. It is also strongly recommended that the student has at minimum 18 months of practical development experience using J2EE and other Java middleware technologies, and it is suggested that the student have some practical experience with JBoss Application Server. Solid Java programming experience (minimum 3 years) is required and a strong understanding of basic TCP/IP topics is necessary.
The student must have the following skills:
- JTA, Transactions, Java concurrency
- EJB 2.1, JMS, reliable messaging technologies
- Previous experience with Apache httpd and some exposure to mod_jk and/or mod_proxy
- Familiar with JBoss AS microkernel and JMX
- Familiarity with TCP/IP, UDP, Multicasting
Class times:
-
Tuesday through Friday
- Start: 9:00am
- End: 4:30 to 5:00pm (depending on class progress)