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Chapter 5. Unsupported features when using JBoss EAP in Microsoft Azure

There are some unsupported features when using JBoss EAP in Microsoft Azure.

ActiveMQ Artemis High Availability Using a Shared Store
JBoss EAP messaging high availability using Artemis shared stores is not supported in Microsoft Azure. To configure JBoss EAP messaging high availability in Azure, see the instructions in the Configuration for ActiveMQ Artemis high availability in Microsoft Azure section.
mod_custer Advertising
If you want to use JBoss EAP as an Undertow mod_cluster proxy load balancer, the mod_cluster advertisement functionally is unsupported because of Azure UDP multicast limitations. For more information, see Configuration for load balancing with mod_cluster in Microsoft Azure.
Virtual Machine Scale Set

Transactions in Microsoft Azure Virtual Machine Scale Set (VMSS) is unsupported because the automatic scale down feature does not wait for all transactions to be completed during the scale down process. This could cause data integrity issues. Microsoft Azure VMSS destroys an EAP VM and does not support proper shutdown, which results in the following limitation for EAP clustering:

  • VMSS should be supported for the configurations, in which the server-side state for HA needs to be externalized to a third-party service, such as Red Hat Data Grid. JBoss EAP supports VMSS for HttpSessions externalization, but not for the stateful session bean.
Azure App Service

JTS is not supported in the JBoss EAP Azure App Service offering.

Note

Although JTS is not supported, Jakarta Transactions are supported under the following conditions:

  • The automatic removal of instances is disabled.
  • Instances are not removed manually, for example, by reducing the number of running instances using the Azure dashboard.

Also, transactions over Jakarta Enterprise Beans-remoting are not supported.

Unsupported Azure Autoscale horizontal scaling for JBoss EAP clustering

The following JBoss EAP clustering use cases are not supported when scaling horizontally:

  • Distributed HTTP sessions

    • Infinispan-session-management

      • Using a distributed, replicated, or scattered cache

  • Distributed @Stateful EJBs

    • Via infinispan-passivation-store

      • Using a distributed, replicated, or scattered cache

  • Distributed EJB timers

    • When using a distributed, replicated, or scattered cache
  • Singleton MDBs

  • JPA/Hibernate Second-Level Cache

    • Distributed, replicated, or scattered entity/collection/query caching
  • Singleton deployments
  • Singleton MSC services

  • Public WildFly clustering API:

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