A computer-implemented method for testing failover may include: determining one or more cross-regional dependencies and traffic flow of an application in a first region of a cloud environment, wherein the one or more cross-regional dependencies include a dependency of the application in the first region of the cloud environment to one or more applications in at least one other region of the cloud environment; determining a risk score associated with performing failover of the application to a second region of the cloud environment at least based on the determined one or more cross-regional dependencies and traffic flow of the application; comparing the determined risk score with a predetermined risk score; in response to determining that the determined risk score is lower than the predetermined risk score, performing failover of the application to the second region of the cloud environment; isolating the second region of the cloud environment from the first region of the cloud environment for a predetermined period of time; and monitoring operation of the application in the second region of the cloud environment during the predetermined period of time.

Aspects of the present invention disclose a method, computer program product, and system for determining a response to a query from a user. The method includes one or more processors receiving a query associated with a software product. The query includes an indication of an error. The method further includes one or more processors determining whether a response to the query is available in an accessible knowledge base. In response to determining that a response to the query is not available, the method further includes one or more processors identifying content in program code of the software product that corresponds to the indicated error of the received query. The method further includes one or more processors determining a response to the query based on the identified content in the program code. The determined response to the query includes diagnostic information corresponding to the indicated error.

An improved information management system is provided herein for managing secondary storage computing devices when one or more become unavailable. For example, a first secondary storage computing device in a pool of secondary storage computing devices can run a storage manager virtual machine (VM) that manages secondary copy and restore operations. A second secondary storage computing device in the pool can run a virtualization engine that manages the storage manager VM. The virtualization engine can replicate the storage manager VM data to other secondary storage computing devices in the pool. If the first secondary storage computing devices becomes unavailable, the second secondary storage computing device can instruct a third secondary storage computing device in the pool to launch a replicated storage manager VM using the replicated storage manager VM data stored therein. Thus, the third secondary storage computing device can act as the now unavailable first secondary storage computing device.

A process cloud services (PCS) system is integrated with an intelligence cloud service (ICS) based on converted PCS analytics data. The PCS system converts PCS analytics data into a format for the ICS resulting on converted PCS analytics data. The converted PCS analytics data is transferred from the PCS system to the ICS. The PCS system is integrated with the ICS based on the converted PCS analytics data received at the ICS.

An example includes the following operations: identifying parameters associated with a test program, where the parameters are based on at least one of a device under test (DUT) to be tested by the test program or a type of test to be performed on the DUT by the test program; assigning weights to the parameters; generating a numerical value for the test program based on the parameters, the weights, and equations that are based on the parameters and the weights, where the numerical value is indicative of a complexity of the test program; and using the numerical value to obtain information about effort needed to develop future test programs.

A virtual environment system for validating executable data using authorized hash outputs is provided. In particular, the system may generate a virtual environment using a virtual environment device, where the virtual environment is logically and/or physically separated from other devices and/or environments within the network. The system may then open a specified set of executable data within the virtual environment and perform a set of commands or processes with respect to the executable data. If the system determines that the executable data is unsafe to run, the system may generate a hash output of the executable data and store the hash output in a database of unauthorized executable data. In this way, the system may securely generate a repository of authorized and unauthorized hashes such that the system may ensure that unsafe executable data is blocked from being processed within a network environment.

A system maintains a knowledge layout to support the analysis of active events and determination of epicenter and aftershock nodes via an event reach stack. At an input layer of the event reach stack, the system may receive active event data. At a semantic layer, the system may parse the active event data to determine event phrases. Based on the event phrases, the system may identify epicenter nodes directly affected by the active event. At an analytic model layer, the system may successively determine aftershock nodes by traversing the knowledge layout outward from the epicenter nodes. The system then directs the response to the active event to the aftershock and epicenter nodes, via action at a focus response layer of the event reach stack.

Computer implemented knowledge-based decision support system and method is provided. The method includes registering one or more software applications and data sources; defining processes to be implemented by executing the registered one or more software applications; orchestrating execution of the registered one or more software applications for implementing the processes; monitoring system performance based on the execution of the registered one or more software applications; generating analytics data related to the monitored system performance; updating a database with historical data using the generated analytics data; generating an analytical report by analyzing, using a machine learning technique, the historical data stored in the database as well as the generated analytics data; generating automatically user interface based on at least one of a layout and a specification provided by a user; modifying execution of the registered one or more software applications based on the generated analytical report; and displaying data from the generated analytical report using the user interface.

Methods and systems may be used to deploy software more quickly from development to a production environment. The methods and systems may speed up the process of developing and deploying new code. Integrations may be provided to monitor aspects of the system to provide statistics and metrics for better understanding and to automatically optimize certain aspects of the software development cycle.

Embodiments of the invention provide a management console enabling monitoring of distributed components of a process control application. The management console includes a management console window that can be customized according to one or more user-defined software code modules that interface to data sources to populate views supported by the console window. The invention further includes a language and method of composing blocks of executable code within the management console that provide the capability to run many analyses simultaneously. The console window includes a set of view templates including controls for manipulating graphically displayed representations of data rendered by the distributed components, and an interface for exchanging requests and data with an extensible set of software modules that provide data links to one or more distributed data-linked components. The set of software modules also define the customizable portions of the view rendered by the console window.