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Figure 7-2 A Network Load Balancing cluster
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Network Load Balancing is clearly not suitable for stateful applications such as database and e-mail servers, because the cluster nodes do not share the same data. If one server in an NLB cluster were to receive a new record to add to the database, the other servers would not have access to that record until the next database replication. It is possible to replicate data between the servers in an NLB cluster, for example, to prevent administrators from having to copy modified Web pages to each server individually. However, this replication is an occasional event, not an ongoing occurrence.
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Network Load Balancing provides scalability in addition to availability and reliability, because all you have to do when traffic increases is add more servers to the cluster. Each server then has to process a smaller number of incoming requests. Windows Server 2003, Standard Edition, Windows Server 2003, Enterprise Edition, and Windows Server 2003, Datacenter Edition, all support NLB clusters of up to 32 computers.
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Off the Record There is also a third type of clustering, called component load balancing (CLB), designed for middle-tier applications based on Component Object Model (COM+) pro gramming components. Balancing COM+ components among multiple nodes provides many of the same availability and scalability benefits as Network Load Balancing. The Windows Server 2003 operating systems do not include support for CLB clustering, but it is included in the Microsoft Windows 2000 Application Center product.
Exam Tip Be sure you understand the differences between a server cluster and a Network Load Balancing cluster, including the hardware requirements, the difference between stateful and stateless applications, and the types of clusters supported by the various versions of Windows Server 2003.
Designing a Clustering Solution
The first thing to decide when you are considering a clustering solution for your network is just what you expect to realize from the cluster in other words, just how much availability, reliability, or scalability you need. For some organizations, high availability means that any downtime at all is unacceptable, and clustering can provide a solution that protects against three different types of failures:
Software failures Many types of software failure can prevent a critical applica tion from running properly. The application itself could malfunction, another piece of software on the computer could interfere with the application, or the operating system could have problems, causing all the running applications to fal ter. Software failures can result from applying upgrades, from conflicts with newly installed programs, or from the introduction of viruses or other types of malicious code. As long as system administrators observe basic precautions (such as not installing software updates on all the servers in a cluster simultaneously), a cluster can keep an application available to users despite software failures.
7
Clustering Servers
Hardware failures Hard drives, cooling fans, power supplies, and other hardware components all have limited life spans, and a cluster enables critical applica tions to continue running despite the occurrence of a hardware failure in one of the servers. Clustering also makes it possible for administrators to perform hardware maintenance tasks on a server without having to bring down a vital application. Site failures In a geographically dispersed cluster, the servers are in different buildings or different cities. Apart from making vital applications locally available to users at various locations, a multisite cluster enables the applications to con tinue running even if a fire or natural disaster shuts down an entire site.
Estimating Availability Requirements
The degree of availability you require depends on a variety of factors, including the nature of the applications you are running, the size, location, and distribution of your user base, and the role of the applications in your organization. In some cases, having applications available at all times is a convenience; in others, it is a necessity. The amount of availability an organization requires for its applications can affect its cluster ing configuration in several ways, including the type of clustering you use, the number of servers in the cluster, the distribution of applications across the servers in the cluster, and the locations of the servers.
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