In part, the disclosure relates to a backup and restoration system for a transactional log based journaling application. The system includes a transactional log backup process executing on one or more computing devices; an archive stored in non-transitory computer readable memory; and a binary difference file generator in electronic communication with the archive and responsive to instructions from the transactional log backup process. In one embodiment, the binary difference file generator includes a backup driver in electrical communication with and responsive to communication signals from the transactional backup process.

A method may include performing, at multiple data partitions, a point-in-time recovery to a specified time by applying transactions that have committed at each data partition up to the specified time. Open transactions that have not been committed at each data partition at the specified time may be identified. A corresponding transaction coordinator may be queried for an outcome of the open transactions. Open transactions that affect a single data partition may be aborted. The point-in-time recovery may be performed at the transaction coordinator partitions by determining the outcome of the open transactions. The transaction coordinator partitions may abort any transaction that remains open subsequent to the point-in-time recovery. If the specified time may be greater than a safety threshold, data up to an earlier point-in-time than specified may be recovered depending on whether there are missing portions of transaction logs at the data partitions or the transaction coordinator partitions.

In a production environment, an entry is logged in a log journal to represent a read operation on a record of a file. A problematic transaction in a batch job is selected and set of operations performed by the problematic transaction is intercepted. The set includes a combination of read, write, update, delete operations, and operations that use external resources. A window of entries is determined in the log journal where the entry is a beginning entry in the window and an ending entry is a last entry captured in the log journal before detecting the error. From the window, those entries are filtered that correspond to the record. A final value of the record is copied from the production environment to a development environment and rolled back in the development environment to an initial value stored in the beginning entry. The problematic transaction is performed in the development environment.

A system and method is disclosed for the automated identification of causal relationships between a selected set of trigger events and observed abnormal conditions in a monitored computer system. On the detection of a trigger event, a focused, recursive search for recorded abnormalities in reported measurement data, topological changes or transaction load is started to identify operating conditions that explain the trigger event. The system also receives topology data from deployed agents which is used to create and maintain a topological model of the monitored system. The topological model is used to restrict the search for causal explanations of the trigger event to elements of that have a connection or interact with the element on which the trigger event occurred. This assures that only monitoring data of elements is considered that are potentially involved in the causal chain of events that led to the trigger event.

Systems, apparatuses, and methods for implementing telemetry push aggregation techniques are described. A computing system includes one or more input/output (I/O) agents interposed between functional units and a communication fabric. A given I/O agent receives a set of aggregation rules from a power management unit. The I/O agent monitors traffic from the functional units, and the I/O agent generates telemetry data from the traffic data based on the set of aggregation rules. The telemetry data is used by the power management unit to make adjustments to one or more power settings.

Techniques are disclosed relating to accessing, by an evaluation computer system, transaction details from a subset of current transactions being processed by a production version of a transaction processing service that is implemented on a production computer system. The evaluation computer system may perform, in real-time, tests on a particular product using the transaction details. The evaluation computer system may then store output from the tests that are performed using the transaction details.

Embodiments of the present disclosure relate to rollback of services with a global variable change. Embodiment techniques detect that at least two of a plurality of services in a transaction are executed to change a value of a first global variable. Tracing information is obtained to indicate a first order in which the at least two services change the value of the first global variable during execution of the plurality of services. In response to a failure of the transaction, a rollback execution plan for a plurality of compensating services is determined at least based on the tracing information, where the plurality of compensating services are configured to compensate for the plurality of services respectively. The plurality of compensating services subsequently executed according to the rollback execution plan.

A computer implemented method for identifying problematic database operations includes identifying database transactions which exhibit performance issues and corresponding parse trees, transforming corresponding parse trees to create historical descriptor arrays, detecting a new database transaction, generating a new descriptor array corresponding to the new database transaction, analyzing the new descriptor array and the historical descriptor arrays to determine whether the new descriptor array indicates a performance issue corresponding to the new database transaction, and responsive to determining that the new descriptor array indicates a performance issue, adding the new database transaction to a resource controlled pool. The method may additionally comprise encoding one or more data items associated with the database. The method may additionally include sending the new database transaction to a virtual database simulation to simulate the new database transaction's performance, and providing the simulation results to a feedback database system.

In one embodiment, a device instruments an application to generate OpenTelemetry trace data during execution of the application. The device identifies, based on where the application was instrumented, a particular method of the application. The device determines that a circuit breaker should be inserted for the particular method of the application. The device inserts a circuit breaker for the particular method.

Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.