Abstract: In an embodiment, a system includes a processor coupled with a data store, the at least one processor configured to: receive a client product version number from a client device; identify a differential bundle based on a difference between the client product version number and a current product version number, wherein the differential bundle comprises a set of bytewise differences between an executable client product binary file associated with the client product version number and a executable current product binary file associated with the current product version number; determine whether the differential bundle is available in the data store; retrieve the differential bundle from the data store in response to determining that the differential bundle is available in the data store; produce the differential bundle in response to determining that the differential bundle is not available in the data store; and send the differential bundle to the client device.

Abstract: Techniques for predicting the downtime of a software system due to an upgrade of the system are provided. In one set of embodiments, a computer system can receive training data comprising (1) measured downtimes, (2) upgrade object information, (3) upgrade configuration information, and (4) system hardware information for past upgrades of the software system across different operating environments. Using this training data, the computer system can train a machine learning (ML) model to predict (1) based on (2), (3), and (4). The computer system can then receive a query comprising upgrade object information for a future upgrade U, upgrade configuration information for upgrade U, and system hardware information for an operating environment E. Based on these inputs, the computer system can use the ML model to generate a downtime value indicating the predicted downtime that will be experienced by the software system when upgrade U is applied to the system in operating environment E.

Abstract: Implementations directed to providing a computer-implemented method for automating vehicle feature updates, the method being executed by one or more processors and comprising receiving telematics data identifying an actual usage of a vehicle; performing a gap analysis between the actual usage of the vehicle and an expected usage of the vehicle; determining a feature update based on the gap analysis; providing the feature update to a product engineering module when the feature cannot be implemented by a software update; and providing the feature update to an onboard computer system when the feature can be implemented by a software update.

Abstract: Systems, methods, and articles of manufacture are disclosed for processing element (PE) deployment placement in a streaming data system. In particular, PEs of a stream computing application are grouped across compute nodes in a dynamic manner that improves over manually specified groupings of PEs on particular compute nodes. A stream manager deploys PEs according to rules in deployment instructions specifying whether to collocate PEs on a single compute node and/or ex-collocate PEs across compute nodes based on dynamically-determined information relating to the PEs themselves, compute nodes on which PEs are to run, and/or the streams runtime. For example, the stream manager may profile code and deploy PEs on compute nodes based on such profiling, deploy PEs together on compute nodes meeting predefined system characteristics or streams runtime conditions or metrics, and/or deploy PEs on a compute node within a predefined proximity of an external source.

Abstract: Implementations include a method and system configured to allow users to track, record, and store process instances and use the recordings in the same or different environments in order to test, debug, and repair detected errors and anomalies in process flows. The method and system also provides a conceptual way where users can create tests by recording and playback one or more flow instances along with processing artifacts in order to test and debug their flow in a different environment to ensure flow executions work across updates, releases, and across different environments.

Abstract: Automatic detection of software program regression points enables developers to more quickly and accurately diagnose and solve issues in changes to software. Traces of instructions are collected from before and after a change to a program or settings thereto on a computing device and are compared to identify differences between the two traces. Areas of differences are ranked and returned to identify the point(s) of regression in the traces to alert a user of programs of behaviors to avoid and/or a developer a point to focus efforts on to patch the responsible program or update other programs around the responsible application.

Abstract: A new approach is proposed that contemplates systems and methods to support a sandboxed application plug-in distribution framework. An installation package containing a monitoring plug-in, a display plug-in, and/or third part components is received by a first application running on a first computing device. The first application installs the display plug-in and saves the monitoring plug-in to a centralized database. The first application sends an instruction to a second application running on a second computing device to retrieve the monitoring plug-in from the database and install the monitoring plug-in on the second computing device. Upon receiving a user request, the display plug-in of the first application sends a query to the monitor plug-in of the second application. In response to the query, the monitoring plug-in sends the requested monitored data collected by the second application to the display plug-in, which then formats and presents the monitored data to the user.

Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. Functionality of the application may be easily and rapidly modified by modification to the first component, without requiring modification to the second component. The first component may be implemented locally at a client device, while the second component is implemented remotely. While modification of the second component may require privileges of a remote location, a user of a client device may modify the first component while maintaining interoperability and compatibility with the second component, thereby enabling the end user to modify functionality of the multi-component application. In some instances, different versions of a first component are provided, and an end user of a client device is enabled to specify which version of the first component should be used.

Abstract: A method may include establishing a connection between a debugger native to a host operating system and an agent of a virtual machine executing a guest operating system. The host operating system and the guest operating system are of different kernel types. The method may also include receiving, from the agent, information pertaining to the guest operating system. The method may also include performing, using the debugger on the host operating system, non-native system debugging of the guest operating system based on the information pertaining to the guest operating system.

Abstract: Systems and methods are disclosed for providing a multi-component application, including a first and second component. A client device may be provisioned with the application in a manner that, from the point of view of an end user, is similar to access a single component application. A user may use a client device to attempt to access a second component to provide the application. The second component can instruct the client device to first obtain a first component from a different network location. The client device can obtain the first component and execute the first component to use the second component, thereby providing the multi-component application. Other than submission of an initial request to access the application, provisioning of the multi-component application may be programmatic and potentially invisible to an end user, thereby providing an experience similar to accessing a single component application.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for provisioning an analytics platform. The methods, systems, and apparatus include actions of obtaining a manifest for a platform to be deployed where the manifest specifies machines and tools to deploy on the machines, determining an order to deploy the tools on the machines based on the manifest, selecting, based on the manifest file, tool deployers that are configured to deploy particular tools on machines from among multiple tool deployers, and deploying the tools on the machines with the tool deployers that are selected and in accordance with the order that is determined.

Abstract: The present disclosure is directed to systems and methods of implementing a neural network using in-memory mathematical operations performed by pipelined SRAM architecture (PISA) circuitry disposed in on-chip processor memory circuitry. A high-level compiler may be provided to compile data representative of a multi-layer neural network model and one or more neural network data inputs from a first high-level programming language to an intermediate domain-specific language (DSL). A low-level compiler may be provided to compile the representative data from the intermediate DSL to multiple instruction sets in accordance with an instruction set architecture (ISA), such that each of the multiple instruction sets corresponds to a single respective layer of the multi-layer neural network model. Each of the multiple instruction sets may be assigned to a respective SRAM array of the PISA circuitry for in-memory execution.

Abstract: A system manages tenant application updates in a multi-tenant cloud-based identity and access management (IAM) system by defining one or more application templates; creating one or more applications for one or more tenants of the multi-tenant cloud-based IAM system using the one or more application templates; applying a change to at least one of the one or more application templates; determining whether the one or more applications need to be updated in an automatic mode, a semi-automatic mode, or a manual mode, to incorporate the change; and updating at least one of the one or more applications in an applicable one of the automatic mode, the semi-automatic mode, or the manual mode, based on the outcome of the determining.

Abstract: A system for processing a notebook includes an input interface and a processor. The input interface is to receive a first notebook. The notebook comprises code for interactively querying and viewing data. The processor is to load the first notebook into a shell. The shell receives one or more parameters associated with the first notebook. The shell executes the first notebook using a cluster.

Abstract: A method, system, and computer program product are provided for generating a container providing a computing environment. At least one processing device combines a base image of a first type of container, including at least one application and an operating system, with a base image of a second type of container including middleware and configuration information to produce a base image of a target container including, from the first type of container, the at least one application and the operating system, and the middleware and the configuration information from the second type of container. The base image of the target container is executed on a computer to provide the computing environment configured in accordance with the configuration information.

Abstract: A user account that does not have administrator privileges may request mounting of a disk image prior to installing a new application. An agent, registered with operating system, receives notification and determines whether or not to allow mounting of the disk image. If so, the agent causes the disk image to be mounted by the operating system. The agent examines the mounted disk image to detect an application bundle. The agent determines whether or not to proceed with installation of the application bundle and, if so, then causes the application bundle to be copied to a privileged system location, thereby installing the application on the computer device.

Abstract: The vehicle control device includes: a storage section including a first and a second storage areas in which a control program and an updated program which is an updated version of the control program are stored respectively; an execution section executing either of these programs; and an update section acquiring updated-portion data from an server, causing data of a post-update portion indicated by the updated-portion data and data of a portion, other than the update-target portion, of the control program stored in the first storage area to be stored as the updated program in the second storage area, and changing a program, to be executed by the execution section, to the updated program in a case of determining that the updated program is correctly stored, on the basis of a difference between the control program and the updated program stored in the first and second storage areas respectively.

Abstract: Some embodiments provide a simplified mechanism to deploy and control a multi-segmented application by using application-based manifests that express how application segments of the multi-segment application are to be defined or modified, and how the communication profiles between these segments. In some embodiments, these manifests are application specific. Also, in some embodiments, deployment managers in a software defined datacenter (SDDC) provide these manifests as templates to administrators, who can use these templates to express their intent when they are deploying multi-segment applications in the datacenter. Application-based manifests can also be used to control previously deployed multi-segmented applications in the SDDC. Using such manifests would enable the administrators to be able to manage fine grained micro-segmentation rules based on endpoint and network attributes.

Abstract: A computing system is provided. The computing system includes a client device with a user interface, a server host, and a processor configured to execute a continuous delivery (CD) pipeline and communicate with a cloud-based hosting environment. The processor is configured to receive a staging request for software to be deployed to the cloud-based hosting environment. The processor is configured to initialize and execute a gate on a CD platform, the gate including criteria for evaluation of the software with at least one query defining results data; deploy software to a target environment; and, during a monitoring period, continuously receive and monitor results data from the software. The processor is configured to evaluate the results data, change a state of the gate, determine that approval conditions have been met for the software, and deploy the software to a production environment of the cloud-based hosting environment.

Abstract: A computer implemented method comprising operating a software container, the software container including a blockchain subsystem and a blockchain ledger, generating a blockchain entry by executing a hashing function on a current state of the software container and a last entry in the blockchain ledger, updating the blockchain ledger with the generated blockchain entry, and transmitting the generated blockchain entry to one or more connected software containers.