A system and method for maintaining data integrity during data transformation operations. The system and method include obtaining a message from a set of queues, obtaining, from a first data store, a data object indicated by the message, and generating, at a first host, a set of error detection codes corresponding to a transformation of the data object according to a transformation scheme. The system and method further include, transforming, at a second host different from the first host, the data object according to the transformation scheme into the transformation of the data object, verifying the transformation against the set of error detection codes, and storing the transformation in a second data store.

Methods, media, and systems for detecting anomalous program executions are provided. In some embodiments, methods for detecting anomalous program executions are provided, comprising: executing at least a part of a program in an emulator; comparing a function call made in the emulator to a model of function calls for the at least a part of the program; and identifying the function call as anomalous based on the comparison. In some embodiments, methods for detecting anomalous program executions are provided, comprising: modifying a program to include indicators of program-level function calls being made during execution of the program; comparing at least one of the indicators of program-level function calls made in the emulator to a model of function calls for the at least a part of the program; and identifying a function call corresponding to the at least one of the indicators as anomalous based on the comparison.

Described herein is a system for automatically reconfiguring a test environment. As described above, performance testing can be a time-consuming and error-prone resulting in the use of unnecessary computational resources. The system may use machine-learning to determine whether the test environment, test data, and/or test script is to be reconfigured to optimize the performance test. The system may iteratively reconfigure the test environment, test data, and/or test script, and re-execute the performance test, until an optimal performance test of an application is executed based on a specified performance requirement.

A system and method in accordance with examples may include systems and methods for detecting failure of microservice applications in communication with an orchestration layer of a microservice-architecture. The system may include memory and an orchestration layer including one or more processors coupled to the memory. The one or more processors may be configured to connect the orchestration layer to a plurality of microservice applications that are each associated with a respective dataset. The one or more processors may be configured to validate, responsive to the connection of each of the microservice applications, the microservice applications by performing a first test and a second test. The one or more processors may be configured to deploy, responsive to the validation of the microservice applications, the microservice applications to execute a plurality of workflow actions.

The present invention provides an information processing device that improves the detectability of system errors. This information processing device includes: a means that generates a state graph based on relationship change information indicating a change in the relationship between a plurality of elements included in a system, the state graph having the elements as the vertices thereof and the relationship between the elements as the sides thereof; a means that generates a normal model having the state graph as a set of conditions to be fulfilled during normal system operation, based on the relationship change information; and a means that detects system errors and outputs error information indicating detected errors, based on the state graph and the normal model.

A correlithm object processing system includes a reference table that stores a plurality of correlithm objects, and a first node communicatively coupled to a second node by a communication channel. The first node is configured to receive a particular one of the plurality of correlithm objects from the second node over the communication channel. The first node determines distances between the received correlithm object and each of the plurality of correlithm objects stored in the reference table. The first node further identifies one of the plurality of correlithm objects from the reference table with the shortest distance, and outputs the identified correlithm object.

Embodiments described herein are related to cloning a volume in a file system. In some embodiments, a directory hard link is used to generate a clone of the root node of the volume. In certain embodiments, upon determining that a file or directory of the clone which comprises a hard link to an index node has been modified, a new object directory is generated beneath a root node of the volume. The index node may be added to the new object directory and one or more files and directories in the volume which link to the index node may be updated to contain symbolic links to the index node in the new object directory. In certain embodiments, a copy-on-write operation is performed in order to copy the file or directory and the new object directory to the clone.

A system, method, and computer program product are provided for periodic memory leak detection. In operation, a system monitors one or more processes that perform dynamic memory allocations. The system receives a data type indicator indicating a type of data associated with the dynamic memory allocations to collect. The system receives a time indicator indicating a time period for monitoring and collecting data associated with the data type indicator. The system collects the data associated with the data type indicator for the one or more processes for the time period. Moreover, the system generates a report based on the collected data associated with the data type indicator for the one or more processes.

Embodiments include methods, systems and computer program products method for editing and correcting structural metadata associated a binary large object (BLOB). The computer-implemented method includes obtaining, using a processor, at least a portion of structural metadata associated with the BLOB. The processor converts one or more fields associated with the at least a portion of structural metadata and determines that the one or more fields generated one or more errors or null values. The processor provides an interface, wherein the interface is used to cause a first movement or edit the one or more fields. The processor determines that the first movement or edit of the one or more fields fixes the one or more errors or null values and provides an indication that the first movement or edit of the one or more fields has or has not fixed the one or more errors or null values.

The described technology is directed towards handling errors in an application program that allows for a taxonomy and precedence order of errors. Exception wrapping includes preserving relevant information with an exception, and consolidates a series of errors into a single dominant exception instance that is handled appropriately depending on the exception type. Also described is a centralized exception manager that outputs an interactive dialog based upon the exception type, and takes a recovery action based upon user interaction with the dialog.