A central service provider manages a blockchain network that writes the cryptographic hash of each executed transaction in a block to the blockchain network. For each executed transaction, the central service provider generates and transmits a transaction receipt such that a party can verify that the transaction was appropriately executed. Additionally, a party can check that the party's records are correct by providing transaction data describing details of transactions recorded in the party's records to the central service provider. The central service provider verifies the party's records by comparing the transaction data in the party's records to the blocks of transaction records in the blockchain network. In some scenarios, the central service provider may identify or receive an identification of a discrepancy arising from one or more transactions. The central service provider can reconcile the identified discrepancy.

A central service provider manages a blockchain network that writes the cryptographic hash of each executed transaction in a block to the blockchain network. For each executed transaction, the central service provider generates and transmits a transaction receipt such that a party can verify that the transaction was appropriately executed. Additionally, a party can check that the party's records are correct by providing transaction data describing details of transactions recorded in the party's records to the central service provider. The central service provider verifies the party's records by comparing the transaction data in the party's records to the blocks of transaction records in the blockchain network. In some scenarios, the central service provider may identify or receive an identification of a discrepancy arising from one or more transactions. The central service provider can reconcile the identified discrepancy.

A system for tracing transactions includes a system mapping engine configured to generate a multi-tier control point map based on linked transactions across one or more systems having different management software, wherein the linked transactions are identified from transaction records obtained from parsed source code and transaction data of the one or more source systems; and a tracing engine configured to trace the linked transactions across the one or more source systems based on the multi-tier control point map. The multi-tier control point map provides end-to-end transaction traceability via the linked transactions.

The embodiments set forth techniques for generating snapshots of file system volumes without requiring the implementation of reference counts. A file system can manage snapshot identifiers (IDs) within an object map that corresponds to the file system volume, where each snapshot ID represents a different existing snapshot of the file system volume. A new snapshot can be generated simply by (1) establishing a new snapshot ID based on a current transaction ID managed for the file system volume, and (2) closing the current transaction ID and generating a new current transaction ID. In turn, the new current transaction ID is assigned as a transaction ID within mapping entries that are established/updated after the snapshot is established. In this manner, the transaction ID assigned to each mapping entry can be analyzed against the snapshot IDs to determine the snapshots (if any) to which the mapping entry corresponds.

A system and method for the distributed analysis of high frequency transaction trace data to constantly categorize incoming transaction data, identify relevant transaction categories, create per-category statistical reference and current data and perform statistical tests to identify transaction categories showing overall statistically relevant performance anomalies. The relevant transaction category detection considers both the relative transaction frequency of categories compared to the overall transaction frequency and the temporal stability of a transaction category over an observation duration. The statistical data generated for the anomaly tests contains next to data describing the overall performance of transactions of a category also data describing the transaction execution context, like the number of concurrently executed transactions or transaction load during an observation period. Anomaly tests consider current and reference execution context data in addition to statistic performance data to determine if detected statistical performance anomalies should be reported.

A computer-implemented method, system, and computer-readable media are disclosed herein. In embodiments, the computer-implemented method may entail receiving, by a data service, live data associated with an entity. The entity may be, for example, a customer of the data service. The method may further include determining that a dual-queue node assigned to the entity is uninstantiated on the data service. As a result, a dual-queue node associated with the entity may be instantiated on the data service. The dual-queue node may be instantiated by initializing a live data queue, of the dual-queue node, in which to place the live data for processing and a stale data queue, of the dual-queue node, in which to store a persistent backup of the live data. The method may then route the live data to the dual-queue node. The dual-queue node may then process the live data. Additional embodiments are described and/or claimed.

Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls. Such tests may be used to train the machine learning model.

One example method includes performing data protection operations including backup operations. Backups of an availability group include a full backup, transaction log backups, and differential backups. Each differential backup includes transactions since the full backup. The differential backups are performed based on a trigger and, during a restore operation, the differential backups reduce the number of restores that need to be performed and can be restored instead of restoring the corresponding transactional log backups.

A technology is disclosed for the browser side capturing of user interaction session data and replay of the session data for a high-fidelity reconstruction of the experience the user perceived. In addition to capturing central structuring and markup documents and browser side updates thereof, additional resource documents that are loaded and used by the browser to render the central documents are captured and added to the session recording data. Identification information is created for resource documents, based on the content of those documents, which allows the capturing system to distinguish different versions of those content documents that share the same name but have different content. The captured session data contains data to identify the correct versions of resource documents during replay. Various measures to reduce the amount of transferred resource content data are applied, that consider already captured resource document versions or the usage frequency of a monitored application.

Methods for analyzing data inside a computer program. As the program executes, a display of internal file contents is provided in real-time. Additionally, graphics and document text are provided to provide a better understanding of the program.