Abstract: A computer system may receive one or more requests for access to one or more cloud services and may store the one or more requests in a request log. The computer system may receive one or more access rules applicable to cloud service access rights. The computer system may aggregate the one or more requests of the request log to determine access requirements for a container, the container being configured to store one or more applications. The computer system may generate and store container access policies that define access of a container and the one or more cloud services, the container access policies based at least in part on the aggregated one or more requests and the one or more access rules. The computer system may send the container access policies to a request forwarder of a compute instance in a production environment.

Abstract: Techniques for recommending runbook operations during a runbook generation process are disclosed. The system recommends operations for including in the runbook based on user activity. Generating operations of a runbook based on user activity generates a runbook that captures a user's behavior. The recommended operations may be different than any operations performed by the user. The recommended operations may be based in part on data sets accessed by the user frequently, periodically, or continuously.

Abstract: Techniques for enhancing actionable opportunities through machine learning are disclosed. In some embodiments, a system includes an event listener for detecting an opportunity to perform an action using one or more computing resources. When a new opportunity is detected, the system generates a set of search criteria, which is used to search a set of external web resources for current events. The system may then generate, using a machine learning model as a function of one or more features extracted from current events satisfying the search criteria, a score representing a likelihood of success that the action leads to an optimal result. The system may tune the machine learning model based on feedback received that is indicative of how the current events affected the likelihood of success for the action.

Abstract: Techniques are provided for block-level fail atomicity on byte-level non-volatile media. In one technique, an offset table and application data that stores content of a file are stored for a file. The offset table includes multiple entries, each entry being associated with a different offset value and storing a logical block address (LBA) that references a location in the application data. In response to receiving a request, that includes an input buffer and an offset value, to update the file: (a) an entry, in the offset table, that corresponds to the offset value and comprises a first LBA is identified; (b) a second LBA that is considered free is identified; (c) the second LBA is replaced with the first LBA; (d) the input buffer is written to a location, in the application data, that the second LBA references; and (e) the second LBA is added in the entry.

Abstract: Techniques for implementing user interfaces, systems, and processes for multidimensional clustering and analysis are described herein. In one aspect, an application or cloud service receives a request to cluster a set of records where the request identifies a first set of one or more dimensions to use for clustering and a second set of one or more dimensions to analyze for correlation patterns. Responsive to receiving the request to cluster the set of records, the system generates clusters based at least in part on variances in the first set of one or more dimensions, wherein each cluster includes at least one record from the set of records. The system may generate, for each respective cluster, an analytic result that identifies how strongly the second set of one or more dimensions correlate to the respective cluster. The system may present the clusters and analytic results for further processing.

Abstract: Systems, devices, and methods of the present invention involve discourse trees. In some aspects, a system creates a discourse tree by identifying elementary discourse units in text. The discourse tree includes nodes, each nonterminal node representing a rhetorical relationship between two elementary discourse units and each terminal node associated with an elementary discourse unit. The system identifies, in a reference sentence of the discourse tree, a rhetorical relation of type elaboration or joint. The system selects a candidate sentence having a highest syntactic generalization score of a set of syntactic generalization scores. The system identifies a semantic relation corresponding to the candidate sentence. The semantic relation corresponds to a word in the candidate sentence and defines a role in the candidate sentence.

Abstract: Techniques are described for communications in an L2 virtual network. In an example, the L2 virtual network includes a plurality of L2 compute instances hosted on a set of host machines and a plurality of L2 virtual network interfaces and L2 virtual switches hosted on a set of network virtualization devices. An L2 virtual network interface emulates an L2 port of the L2 virtual network. Access control list (ACL) information applicable to the L2 port is sent to a network virtualization device that hosts the L2 virtual network interface.

Abstract: Disclosed is a system for positioning fiber and electronics cables within a server room, which includes a wire-pulley system which includes a wire operably coupled to a first pulley wheel and a second pulley wheel. The wire is looped around the first and second pulley wheel such that a point in the wire is laterally movable between the first and second pulley wheels when the first and second pulley wheels are rotated. The system for positioning cables includes a cable carrier which is removably coupled to the point in the wire. The cable carrier includes a first panel, and a second panel hingedly coupled to the first panel. The first panel and second panel each include a plurality of receiving slots, where the receiving slots are configured to removably receive a distal end of various cables.

Abstract: Techniques are described for identifying root cause anomalies in time series. Information to be used for root cause analysis (RCA) is obtained from a graph neural network (GNN) and is used to construct a dependency graph having nodes corresponding to each time series and directed edges corresponding to dependencies between the time series. Nodes corresponding to time series that do not contain anomalies may be removed from this dependency graph, as well as edges connected to these nodes. This edge and node removal may result in the creation of one or more sub-graphs from the dependency graph. A root cause analysis algorithm may be run on these one or more sub-graphs to create a root cause graph for each sub-graph. These root cause graphs may then be used to identify root cause anomalies within the multiple time series, as well as sequences of anomalies within the multiple time series.

Abstract: Techniques described herein relate to authorization between integrated cloud products. An example includes receiving, by a computing device and from a first resource, a first request for permission to access a certificate to verify a requestor's identity. The computing device can transmit a second request to a second resource to authorize permitting access to the certificate. The computing device can receive a response from the second resource comprising an authorization to permit access to the certificate. The computing device can grant permission to the first resource to access the certificate, wherein the first resource is configured to verify the requestor's identity based on accessing the certificate. The computing device can receive a third request from the first resource to generate an association object between the first resource and the certificate. The computing device can generate the association object, wherein the association object associates the first resource and the certificate.

Abstract: Embodiments relate to improving efficiency of data analytics performed on sets of entity data in which different entity properties having very different update frequencies. Time-based analytical queries track the entity states at each moment within a given time window. Analytical queries are executed over a massive number of entity states while using a reasonable memory footprint. The technique partitions the entity properties into partial historical snapshots of data and combines the partial snapshots on demand only as needed to execute analytical queries over business entities. A complete entity state having values for all entity properties is not required to execute most queries. Only partial snapshots including values referenced by the query need to be combined to satisfy the query. Using partial snapshots minimizes data replication, and the snapshots can be efficiently combined into entity states sufficient for query execution.

Abstract: Embodiments include systems and methods for generating a data throughput estimation model. A system may be monitored to measure both (a) data throughput and (b) computing statistics of one or more computing resources to generate an initial data set. The relationship between the data throughput and the computing statistics, in the initial data set, is used to generate a data throughput estimation model. The data throughput estimation model may be generated using a machine learning model, a neural network algorithm, boosting decision tree algorithm, and/or a random forest decision tree algorithm. Additional measurements of the computing resource statistics may be applied to the data throughput estimation model to estimate data throughput.

Abstract: Systems, devices, and methods of the present invention involve discourse trees. In an example, a method involves generating a discourse tree. The method includes identifying, from the discourse tree, a central entity that is associated with a rhetorical relation of type elaboration and corresponds to a topic node that identifies a central entity of the text. The method includes determining a subset of elementary discourse units of the discourse tree that are associated with the central entity. The method includes forming generalized phrases from the subset of elementary discourse units. The method includes forming tuples from the generalized phrases, where a tuple is an ordered set of words in normal form. The method involves responsive to successfully converting an elementary discourse unit associated with an identified tuple into a logical representation, updating the ontology with an entity from the identified tuple.

Abstract: A computer program product, system, and computer implemented method for scalable specification and self-governance for autonomous databases, cluster databases, and multi-tenant databases in cloud and on-prem environments. The approach disclosed herein enables management of a consolidated databases using a template-based process that allows for the consolidated databases (CDBs) and pluggable databases (PBDs) to be reconfigured automatically. In some embodiments, the approach instantiates one or more monitoring modules and one or more CDB/PDB configuration managers. These elements can detect relevant changes in the conditions in which CDB instances and open PDBs operate and adjust the configurations thereof in response.

Abstract: The present embodiments relate to systems and methods for automatic sign in upon account signup. Particularly, the present embodiments can utilize a federated login approach for automatic sign in upon account signup for a cloud infrastructure. Specifically, the signup and sign in service (also known as SOUP) and an identity provider portal can be configured such that the nodes are aware of each other as Security Assertion Markup Language (SAML) partners. After new account registration, the signup service can redirect the user browser to a cloud infrastructure console to start with a federated login flow, where a sign in service can issue a SAML authentication request, and redirects it to signup service. Responsive to validating the browser using a SAML authentication process, the browser can be automatically signed into the new account and allowed access the account relating to the cloud infrastructure service.

Abstract: Disclosed is a system for positioning cables within a server room, which includes a wire-pulley system which includes a wire operably coupled to a first pulley wheel and a second pulley wheel. The wire is looped around the first and second pulley wheel such that a point in the wire is laterally movable between the first and second pulley wheels when the first and second pulley wheels are rotated. The system for positioning cables includes a cable carrier which is removably coupled to the point in the wire. The cable carrier includes a central body defining an elongated vertical structure. The cable carrier includes a plurality of posts extending laterally from the central body, where gaps defined between adjacent posts define receiving slots, where each of the plurality of receiving slots are configured to removably receive a segment of an electronics cable.

Abstract: Techniques for performing analytics using automatically generated labels for time series data and numerical lists are disclosed. In some embodiments, a system loads a set of one or more time series datasets. A respective time series dataset may include a set of data points based on varying values of a metric of one or more computing resources over a window of time. The system assigns labels to a subset of the data points in the time series datasets. The label assigned to a given data point may be descriptive of a pattern reflected by the data point relative to other data points in the time series. The system further identifies a pattern of automatically assigned labels that is indicative of an event affecting the one or more computing resources. Responsive to identifying the pattern of labels, the system may trigger a responsive action.

Abstract: According to certain implementations, a motherboard is provided that enables operation as either multiple independent single-processor systems or a single multiple-processor system. In response to a request to configure the motherboard as multiple independent single-processor systems, a control block is implemented for each processor attached to the motherboard, where the control blocks configure the processors to boot and operate independently of each other, and the processors utilize separate motherboard resources. In response to a request to configure the motherboard as multiple independent single-processor systems, a single control block is implemented all processors attached to the motherboard, where the single control block configures all processors to boot and operate in a connected state, and the processors share all motherboard resources.

Abstract: An example system and method for selectively conveying content via User Interface (UI) display screen sections of Business Intelligence (BI) software and for facilitating user interaction therewith, e.g., so as to impart usefulness or preference ratings thereto, which can then affect subsequently displayed content. An example method includes providing one or more UI controls enabling a user to provide an input query and to interact with resulting content (i.e., query results, also called search results), where the user interaction with the content provides information (e.g., context information) indicative of a usefulness or preference rating pertaining to the content; thereby enabling modifications to subsequently retrieved content in accordance with the usefulness or preference rating(s). Such rating(s) may be aggregated from plural users of an associated software application.

Abstract: Techniques are described herein for routing queries to particular nodes of a multi-node database system based on the query. A database table is partitioned into a plurality of affinity groups. Each affinity group is assigned a particular node as the master node of the affinity group. A mapping is sent to a query router indicating the master node for each affinity group of the plurality of affinity groups. The query router determines, for a particular query, a target node to which to send the particular query based on the mapping and the particular query.