Abstract: A computer-implemented method is provided that is performed in a computer having a processor and multiple co-processors. The method includes launching a same set of operations in each of an original co-processor and a redundant co-processor, from among the multiple co-processors, to obtain respective execution signatures from the original co-processor and the redundant co-processor. The method further includes detecting an error in an execution of the set of operations by the original co-processor, by comparing the respective execution signatures. The method also includes designating the execution of the set of operations by the original co-processor as error-free and committing a result of the execution, responsive to identifying a match between the respective execution signatures.

Abstract: A debugging and diagnostics system allows users to take lightweight process snapshots of running debuggee processes so the users may analyze those snapshots at a later time. The snapshot mechanism allows debugging tools to compare an original process or one or more process snapshots or to compare any of a series of snapshots to each other. The snapshot mechanism further allows users to inspect a snapshot of process memory while allowing the original process to continue running with minimal impact. A user may do historical debugging using process snapshots of a debuggee process taken over time. This allows the user to view the state of the debuggee process as it existed when the snapshot was taken. The lightweight process snapshot is less invasive because it does not require a full copy of the memory and allows the original process to run un-interrupted while specific collections and inspections are completed.

Abstract: In various embodiments, methods and systems for implementing distributed data object management are provided. The distributed data object management system includes a distributed storage system having a local metadata-consensus information store in and one or more remote metadata-consensus information stores. A metadata-consensus information store is configured to store metadata-consensus information. The metadata-consensus information corresponds to erasure coded fragments of a data object and instruct on how to manage the erasure coded fragments. The distributed storage system further includes a local data store and one or more remote data stores for the erasure coded fragments. The distributed data object management system includes a distributed data object manager for operations including, interface operations, configuration operations, write operations, read operations, delete operations, garbage collection operations and failure recovery operations.

Abstract: An embodiment for operation of an emulated electrically erasable (EEE) memory system includes a memory controller configured to identify a first quick record of a stack of quick records as a present record, wherein the stack of quick records are stored in a non-volatile portion of memory, the first quick record has a quick record status identifier (ID) that indicates the stack of quick records has not been qualified, determine a record status of a next record after the present record in the non-volatile portion of memory, and in response to a determination that the next record has a blank record status ID: update the next record from the blank record status ID to the quick record status ID, wherein the blank record status ID indicates that the next record is part of the stack of quick records, and qualify the present record using the plurality of program steps.

Abstract: In general, embodiments of the technology relate to a method for storing data. More specifically, the method may include selecting a first RAID grid location in a RAID grid, where the first RAID grid location is flagged, selecting a second RAID grid location in the RAID grid, making a first determination that the second RAID grid location is not flagged, in response to the first determination, loading first data associated with the second RAID grid location into a cache, calculating a parity value for a corresponding set of RAID grid locations in a data grid using the first data in the cache, where the first RAID grid location and the second RAID grid location are in the set of RAID grid locations, and storing at least a copy of the first data and the parity value in a storage array comprising persistent storage.

Abstract: Trace information representing a program object is automatically logged on a client computing system. It is uploaded to a service computing system where it is configured to be searchable on a property-by-property basis.

Abstract: Technology for identifying virtual computing instance issues is described. An operating information report of a virtual computing instance may be parsed to obtain a diagnostic result. The diagnostic result may be compared against a data store of known computing instance issues to determine whether there is an issue for the virtual computing instance. The issue may be flagged when identified and provided for resolution.

Abstract: A processing system is configured to dynamically carry out processes. A method for monitoring the processing system includes steps of determining a number of processes running on the processing system; of determining a maximum expected number of processes; of determining that more processes than expected are running; and of deactivating the processing system.

Abstract: During a storage redundancy giveback from a first node to a second node following a storage redundancy takeover from the second node by the first node, the second node is initialized in part by receiving a node identification indicator from the second node. The node identification indicator is included in a node advertisement message sent by the second node during a giveback wait phase of the storage redundancy giveback. The node identification indicator includes an intra-cluster node connectivity identifier that is used by the first node to determine whether the second node is an intra-cluster takeover partner. In response to determining that the second node is an intra-cluster takeover partner, the first node completes the giveback of storage resources to the second node.

Abstract: A non-transitory computer readable storage medium includes a tape having a plurality of partitions configured for storing data, and a plurality of read-only partition identifiers, each read-only partition identifier associated with one of the plurality of partitions and readable by a tape drive having a processor and memory for writing and reading tape data. Each read-only partition identifier selectively designates a corresponding one of the partitions as read-only to prevent data from being written to the designated read-only partition by the tape drive.

Abstract: Various embodiments are generally directed to techniques for handling errors affecting the at least partially parallel performance of data access commands between nodes of a storage cluster system. An apparatus may include a processor component of a first node, an access component to perform a command received from a client device via a network to alter client device data stored in a first storage device coupled to the first node, a replication component to transmit a replica of the command to a second node via the network to enable performance of the replica by the second node at least partially in parallel, an error component to retry transmission of the replica based on a failure indicated by the second node and a status component to select a status indication to transmit to the client device based on the indication of failure and results of retrial of transmission of the replica.

Abstract: The present invention provides an input device test system, configured to test an input device having a plurality of functional elements. The input device test system includes: a test host, configured to execute a test program and a message interception program, and output a test message by means of the test program; and a test platform, configured to receive the test message and operate the input device according to the test message, where the input device outputs a response message to the test host in response to the operation, where the message interception program is used to intercept the response message and convert the response message into at least one code, and the test program determines whether the at least one code is consistent with the test message.

Abstract: Representative embodiments disclose a consistent, low latency, reliable storage system that uses quorum logic. An odd number of storage nodes are selected to store data for a client application. The odd number allows a quorum to be determined. When data is written to the storage nodes, success is identified if the data is successfully written to a majority of the storage nodes. Similarly, when a read is performed, success is identified if the majority of the storage nodes return the same value written in the same write operation. This is determined by matching a value and a version number for each node. Additional data is written to the storage nodes along with the values to allow the system to identify and repair inconsistencies in the data. In some embodiments, both the current data and prior data are stored to aid in repairing inconsistent data.

Abstract: A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics. In some instances, the present system may automatically analyze thousands of real-time streams. Advanced machine learning and statistical techniques are used to automatically find anomalies and outliers from the independent metrics by learning latent and hidden patterns in the metrics. The trends of each metric may also be analyzed and the trends for each characteristic may be learned. The system can automatically detect latent and hidden patterns of metrics including weekly, daily, holiday and other application specific patterns. Anomaly detection is important to maintaining system health and predicted values are important for customers to monitor and make planning and decisions in a principled and quantitative way.

Abstract: The technology disclosed relates to building ensemble analytic rules for reusable operators and tuning an operations monitoring system. In particular, it relates to analyzing a metric stream by applying an ensemble analytical rule. After analysis of the metric stream by applying the ensemble analytical rule, quantized results are fed back for expert analysis. Then, one or more type I or type II errors are identified in the quantized results, and one or more of the parameters of the operators are automatically adjusted to correct the identified errors. The metric stream is further analyzed by applying the ensemble analytical rule with the automatically adjusted parameters.

Abstract: A device may receive first data associated with a set of systems used to implement a process. The device may determine a system topology for the set of systems. The device may identify a set of control points associated with the set of systems. The set of control points may include a set of points in the system topology where second data is received or provided by the set of systems. The second data may include information to be used by the set of systems during the process. The device may identify a set of values for a set of metrics related to the set of systems. The set of values may be identified based on the first data. The device may identify an error related to the set of control points or the set of metrics. The device may perform an action to facilitate fixing of the error.

Abstract: A method of initializing a computing device is provided. The method includes (a) powering up the computing device, (b) initially setting a flag to indicate no need to reboot the computing device, (c) sequentially starting a set of computing components operating on the computing device, (d) in response to one component of the set making a configuration change to the computing device, setting a flag to indicate a need to partially reboot the computing device, and (e) upon all components of the set of components completing to load, partially restarting the computing device conditioned on the flag indicating the need to partially reboot, partially restarting including sequentially restarting the set of computing components without powering up the computing device again. An apparatus, system, and computer program product for performing a similar method are also provided.

Abstract: In various example embodiments, a system and method for a proactive customer support system are provided. In some example embodiments, outgoing communications from an application server to a client device are monitored for error messages, outgoing error messages are detected, an error type for an error message is determined, an issue ticket including the error message and the error type is generated, and instructions are transmitted that cause a customer service device to display the issue ticket. In some example embodiments, the system additionally assigns a priority score and ranks open error tickets based on their respective error messages. In some example embodiments, the system provides a help message to the client device based on the error message, receives an information request from the client device, determines a reply message based on the information request, and transmits instructions to the client device to display the reply message.

Abstract: Disclosed is an approach for implementing disaster recovery for virtual machines. Consistency groups are implemented for virtual machines, where the consistency group link together two or more VMs. The consistency group includes any set of VMs which need to be managed on a consistent basis in the event of a disaster recovery scenario.

Abstract: A method, article of manufacture, and apparatus for processing data. In some embodiments, this includes analyzing a first container at a block level, determining a first level of granularity based on the analysis of the first container, based on the first level of granularity, identifying a first set of data objects, storing metadata of the first set of data objects in a recovery catalog, based on the first set of data objects, identifying a second container, analyzing the second container at a block level, determining a second level of granularity based on the analysis of the second container, based on the second level of granularity, identifying a second set of data objects, storing metadata of the second set of data objects in the recovery catalog, wherein the recovery catalog is stored in a storage device.