Abstract: Tailoring diagnostic information specific to current activity of multiple threads within a computer system. A request to dump system state is received. A system dump is created, including main memory and system state information. The system dump is stored to a database. In response to a request to format the system dump, the system dump is loaded from the database, whereby a virtual memory image of system state at system dump time is created. The virtual memory image and system state information is scanned to identify tasks that were running, tasks that have failed due to an error, and tasks that were suspended at system dump time. State information and control blocks associated with the identified tasks are collected from the system dump and collated based on task number. The database is updated with a formatted system dump, including the state information and control blocks associated with the identified tasks.

Abstract: Tailoring diagnostic information specific to current activity of multiple threads within a computer system. A request to dump system state is received. A system dump is created, including main memory and system state information. The system dump is stored to a database. In response to a request to format the system dump, the system dump is loaded from the database, whereby a virtual memory image of system state at system dump time is created. The virtual memory image and system state information is scanned to identify tasks that were running, tasks that have failed due to an error, and tasks that were suspended at system dump time. State information and control blocks associated with the identified tasks are collected from the system dump and collated based on task number. The database is updated with a formatted system dump, including the state information and control blocks associated with the identified tasks.

Abstract: Tailoring diagnostic information specific to current activity of multiple threads within a computer system. A request to dump system state is received. A system dump is created, including main memory and system state information. The system dump is stored to a database. In response to a request to format the system dump, the system dump is loaded from the database, whereby a virtual memory image of system state at system dump time is created. The virtual memory image and system state information is scanned to identify tasks that were running, tasks that have failed due to an error, and tasks that were suspended at system dump time. State information and control blocks associated with the identified tasks are collected from the system dump and collated based on task number. The database is updated with a formatted system dump, including the state information and control blocks associated with the identified tasks.

Abstract: Tailoring diagnostic information specific to current activity of multiple threads within a computer system. A request to dump system state is received. A system dump is created, including main memory and system state information. The system dump is stored to a database. In response to a request to format the system dump, the system dump is loaded from the database, whereby a virtual memory image of system state at system dump time is created. The virtual memory image and system state information is scanned to identify tasks that were running, tasks that have failed due to an error, and tasks that were suspended at system dump time. State information and control blocks associated with the identified tasks are collected from the system dump and collated based on task number. The database is updated with a formatted system dump, including the state information and control blocks associated with the identified tasks.

Abstract: Method and system are provided for automatic failover between multiple nodes in a middle-tier layer between client applications and a back-end service. The method at a first node includes: receiving a request from a client application; determining that the first node cannot service the request successfully; forwarding the request from the first node to a second peer node; receiving a response at the first node on completion of the request by the second peer node; and forwarding the response from the first node to the client application. An original path of communication between the client application and the first node is maintained. The failover of the request from the first node to the second peer node is transparent to the client application. Nodes may be registered in a group, wherein a node in a group has awareness of other nodes in the group.

Abstract: Method and system are provided for automatic failover between multiple nodes in a middle-tier layer between client applications and a back-end service. The method at a first node includes: receiving a request from a client application; determining that the first node cannot service the request successfully; forwarding the request from the first node to a second peer node; receiving a response at the first node on completion of the request by the second peer node; and forwarding the response from the first node to the client application. An original path of communication between the client application and the first node is maintained. The failover of the request from the first node to the second peer node is transparent to the client application. Nodes may be registered in a group, wherein a node in a group has awareness of other nodes in the group.