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Resilient processing, also called distributed services, distributes server requests to multiple instances of batch-mode server components. The server requests for these components are typically message-based, so any instance of the component can process the request. If one instance of a component fails, another can perform the task, thus providing resiliency. Multiple instances of the components can run on the same Siebel Server or on several Siebel Servers.
Load balancing is about distributing workload. Resilient processing is about providing redundancy. Resiliency also provides round-robin distribution of workload to multiple instances of server components.
Resilient processing makes more efficient use of hardware resources than server clustering. In addition, resilient processing does not require third-party clustering software. Where possible, resilient processing should be used instead of server clustering.
If server clustering is used, resilient processing is not required, as the cluster will provide a resilient environment. Resilient processing is not available for all server components. It cannot be used for server components that must run on only one server. An example is Siebel Remote. In these cases, the only high availability option is server clustering.
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