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When you package your application you may include the deployment plan within the package or not. At deployment time, Geronimo will look for the geronimo-web.xml and web.xml deployment plans (or geronimo-application.xml or geronimo-application-client.xml depending the type of application) in the WEB-INF directory within your packaged application. If Geronimo can not find those descriptors it will attempt to deploy the application using defaults. If using defaults fails you will have to either provide a deployment plan repackaged in the application or provide an external deployment plan, in the following sections we will discuss further these alternatives.

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You can also deploy or undeploy application in Eclipse if you have Geronimo Eclipse Plugin (GEP) installed. See Deploying and debugging applications using GEP for details about deploying and undeploying applications with GEP.

Summary

In this section we has discussed five different methods for installing and uninstalling applications, one graphical, one for the hot deployment, one for development and two for command line and you can choose command line or the GUI of your choice. You can visit the Tools and commands section as well for further details on the available options and parameters.

Via Clustering
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WADIdeploy
WADIdeploy

WADI can now be used to support the replication of HTTP Session state among multiple Geronimo servers. In previous releases of Geronimo, WADI could only be used along with the Jetty configuration of Geronimo. WADI can now be used with Tomcat configurations of Geronimo. In addition to the new session replication support, applications can now be deployed to administratively-defined groups of Geronimo servers. This makes it easier to manage a single application across a number of Geronimo servers. More information and details about clustered deployment can be found at Farming using DeploymentWhile considering you are using multiple Geronimo servers as a cluster, you can deploy applications to them at one shot by using clustered deployment. For more information of this task, see Farming using Deployment for the details.