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How Many Clusters
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If you want to deploy more than one application with high availability, you must decide how many clusters you want to use. The servers in a cluster can run multiple applications, of course, so you can combine multiple applications in a single cluster deployment, or you can create a separate cluster for each application. In some cases, you can even combine the two approaches.
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Understanding Clustering
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For example, if you have two stateful applications that you want to deploy using server clusters, the simplest method would be to create a single cluster and install both appli cations on every computer in the cluster, as shown in Figure 7-3. In this arrangement, a single server failure affects both applications, and the remaining servers must be capable of providing adequate performance for both applications by themselves.
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Server
Server
Server
Figure 7-3
A cluster with two applications running on each server
Another method is to create a separate cluster for each application, as shown in Figure 7-4. In this model, each cluster operates independently, and a failure of one server only affects one of the applications. In addition, the remaining servers in the affected cluster only have to take on the burden of one application. Creating separate clusters provides higher availability for the applications, but it can also be an expensive solution, because it requires more servers than the first method.
App 1 App 1 App 2 App 2
Server
Server
Server
Server
Figure 7-4
Two separate clusters running two different applications
It is also possible to compromise between these two approaches by creating a single cluster, installing each of the applications on a separate active node, and using one passive node as the backup for both applications, as shown in Figure 7-5. In this arrangement, a single server failure causes the passive node to take on the burden of running only one of the applications. Only if both active nodes fail would the passive node have to take on the full responsibility of running both applications. It is up to you to evaluate the odds of such an occurrence and to decide whether your organization s availability requirements call for a passive node server with the capability of running both applications at full performance levels, or whether a passive node scaled to run only one of the applications is sufficient.
7-10
7
Clustering Servers
App 1
App 1
App 2
App 2
Active Server
Passive Server
Active Server
Figure 7-5 Two active nodes sharing a single passive node
Combining Clustering Technologies
The decision to use server clustering or Network Load Balancing on your clusters is usually determined by the applications you intend to run. However, in some cases it might be best to deploy clusters of different types together to create a comprehensive high availability solution. The most common example of this approach is an e-commerce Web site that enables Internet users to place orders for products. This type of site requires Web servers (which are stateless applications) to run the actual site, and (stateful) database servers to store customer, product, and order entry information. In this case, you can build an NLB cluster to host the Web servers and a server cluster for the database servers, as shown in Figure 7-6. The two clusters interface just as though the applications were running on individual servers.
NLB Cluster
Server Cluster
Figure 7-6 An NLB cluster interacting with a server cluster
Lesson 1
Understanding Clustering
7-11
Dispersing Clusters
Deploying geographically dispersed clusters enables applications to remain available in the event of a catastrophe that destroys a building or even a city. Having cluster serv ers at different sites can also enable users to access applications locally, rather than having to communicate with a distant server over a relatively slow wide area network (WAN) connection. Geographically dispersed server clusters can be extremely complex affairs: in addition to the regular network, you have to construct a long-distance storage area network (SAN) that gives the cluster servers access to the shared application data. This usually means that you have to combine privately owned hardware and software products with WAN links for the SAN supplied by a third-party service provider. Geographically dispersing Network Load Balancing clusters is much easier, because there is no shared data store. However, in most cases, an NLB cluster that is dispersed among multiple sites is not actually a single cluster at all. Instead of installing multiple servers at various locations and connecting them all into a single cluster, you can create a separate cluster at each location and use another technique to distribute the applica tion load among the clusters. This is possible with stateless applications. In the case of a geographically dispersed cluster of Web or other Internet servers, the most common solution is to create a separate NLB cluster at each site, and then use the DNS round robin technique to distribute client requests evenly among the clusters.
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