Abstract: Techniques for managing task assignments to workers in a work environment are disclosed. A system identifies one or more workers with qualifications that match recommended qualifications to perform a task in a work environment. The system applies a trained machine learning model to task performance data associated with the worker, such as a past history of tasks performed and statistics associated with the performance of the task. The machine learning model generates a prediction of downstream effects associated with assigning the task to the user. The downstream effects include delays and performance improvements on subsequent tasks performed by the worker, as well as effects on tasks performed by other workers, at work centers in the work environment.

Abstract: An expense report generation system receives transaction authorization data from a card issuer and compares the data with expense report generation criteria to determine whether to generate an expense report, prior to settlement of the transaction, based on the authorization data. The expense report generation system evaluates additional data obtained from other data sources including contextual information of the employee, transaction authorization, location, and other employees to generate the expense report. The expense report generation system subsequently updates the generated expense report based on updated transaction authorization data and/or transaction settlement data. The expense report generation system trains and uses a machine learning model for efficiency and accuracy in generating expense reports from transaction authorization data while reducing an employee's burden in manually inputting expense information and the approval process burden.

Abstract: The present embodiments relate to data processing model recommendation and review of a portion of data using a recommended model. A model catalog executing on a cloud infrastructure (CI) system can parse data from an obtained dataset identifying aspects of the dataset. The parsed data from the dataset can be compared with a plurality of potential models stored in a domain ontology store of the model catalog to identify one or more recommended models. Review output data can be generated using the dataset and any of the recommended models. The review output data resulting from the recommended model can be provided to the client for the client to either accept or reject the model.

Abstract: Techniques for lazy compaction are disclosed, including: selecting, by a garbage collector, multiple regions of a memory for inclusion in a relocation set; populating, by the garbage collector, a lazy free list (LFL) with the multiple regions selected for inclusion in the relocation set; subsequent to populating the LFL: determining, by an allocator, that an ordinary free list managed by the garbage collector is depleted; responsive to determining that the ordinary free list is depleted: selecting a region in the LFL; executing one or more load barriers associated respectively with one or more objects marked as live in the region, each respective load barrier being configured to relocate the associated object from the region if the associated object is still live; subsequent to executing the one or more load barriers: allocating the region.

Abstract: Method includes populating fake value for each of entities, to generate string of fake entity values that correspond to entities; inserting sentinel token between adjacent fake values included in the string to generate first input data; generating, by natural language generation model, natural language sentences based on first input data, natural language sentences including one or more fake values from the string; analyzing natural language sentences to determine whether any fake value from the string is missing; based on the fake value missing, summarizing, using text summarization model, natural language sentences to generate text summary; concatenating the text summary with the fake value, to generate second input data; and generating, by a next sentence generation model, additional natural language sentence using the second input data, the additional natural language sentence including the fake value.

Abstract: Techniques for implementing a qualification-based task management system in a work environment are disclosed. When a user logs in to a work center terminal, a system identifies a set of pending tasks that need to be completed. The system filters the tasks available to the user based on the user's qualifications and the equipment present at the work center. When the system identifies a task for which there is not a set of users with matching qualifications, the system applies a machine learning model to the task parameters to identify candidate users or recommended qualifications for performing the task.

Abstract: Techniques are disclosed herein for integrating document question answering in an artificial intelligence-based platform, such as a chatbot system. The techniques include receiving a query from a user, rewriting the query to include one or more specific descriptors, computing an embedding vector for the rewritten query, retrieving one or more textual passages from a document store utilizing the embedding vector for the rewritten query, determining one or more answers to the rewritten query within the one or more textual passages, and returning the one or more answers.

Abstract: Techniques for generating recommendations for re-ordering scheduled tasks to improve completion times of one or more tasks are disclosed. A system displays a representation of a schedule for performing tasks among work centers in a work environment. The system identifies performance metrics associated with a current configuration of tasks in the work environment. The system further analyzes performance metrics for alternative task schedules in the work environment. The system displays interface elements to allow a user to re-order tasks among the work centers in the work environment. The system also displays predicted performance metrics associated with the alternative task schedules. When a user selects a particular interface element to implement an alternative task schedule, the system generates instructions to work centers to reorder tasks in the work environment.

Abstract: Techniques for managing digital messages to and from a proxy message address are disclosed. A system receives a message directed to a particular destination address. The system replaces any source address included in the message with a proxy address. When the system receives a reply to the message, the reply is directed to the proxy address. The system analyzes message data to identify a target address for the reply message. The system identifies contextual data associated with the reply message. The system transmits the reply message, and the contextual data, to the target address.

Abstract: Techniques are described for providing a multi-cloud control plane (MCCP) in a first cloud infrastructure (included in a first cloud environment provided by a first cloud services provider) that enables services and/or resources provided in the first cloud infrastructure to be utilized by users of a second cloud environment, where the second cloud environment is different than the first cloud environment. The multi-cloud infrastructure enables a user associated with an account with a second cloud services provider to use, from the second cloud infrastructure, a first service from the set of one or more cloud services. The multi-cloud infrastructure creates a link between the account with the second cloud service provider and a tenancy created in the first cloud infrastructure for enabling using the first service by the user.

Abstract: Techniques are described for creating a network-link between a first virtual network in a first cloud environment and a second virtual network in a second cloud environment. The first virtual network in the first cloud environment is created to enable a user associated with a customer tenancy in the second cloud environment to access one or more services provided in the first cloud environment. The network-link is created based on network resources and one or more link-enabling virtual networks being deployed in the first cloud environment and the second cloud environment.

Abstract: The present disclosure relates to systems and methods for providing cloud-based services securely to on-premises networks or other infrastructure. More particularly, the present disclosure relates to systems and methods for enriching first-party data (e.g., data collected directly by an on-premises server) stored within on-premises networks by enabling the on-premises networks to retrieve and process third-party data stored on cloud-based networks. As a technical benefit, cloud-based services can be performed on the first-party data within the on-premises networks.

Abstract: A secure private network connectivity system (SNCS) within a cloud service provider infrastructure (CSPI) is described that provides secure private network connectivity between external resources residing in a customer's on-premise environment and the customer's resources residing in the cloud. The SNCS provides secure private bi-directional network connectivity between external resources residing in a customer's external site representation and resources and services residing in the customer's VCN in the cloud without a user (e.g., an administrator) of the enterprise having to explicitly configure the external resources, advertise routes or set up site-to-site network connectivity.

Abstract: Techniques are described for providing a multi-cloud control plane (MCCP) in a first cloud infrastructure (included in a first cloud environment provided by a first cloud services provider) that enables services and/or resources provided in the first cloud infrastructure to be utilized by users of a second cloud environment, where the second cloud environment is different than the first cloud environment. The multi-cloud infrastructure enables a user associated with an account with a second cloud services provider to use, from the second cloud infrastructure, a first service from the set of one or more cloud services. The multi-cloud infrastructure creates a link between the account with the second cloud service provider and a tenancy created in the first cloud infrastructure for enabling using the first service by the user.

Abstract: Techniques for managing anomalies in a software system include monitoring the software system for anomalies via a plurality of signals and determining that signal results associated with the signals indicate a presence of an anomaly in the software system. The techniques also include identifying a hierarchy of sensors associated with the anomaly, where the hierarchy includes a parent sensor and a set of child sensors that are direct or indirect descendants of the parent sensor. The techniques additionally include executing the parent and child sensors to analyze the software system for one or more causes of the anomaly, and determining the cause(s) of the anomaly based on sensor results generated by the parent and child sensors. Finally, the techniques include causing remediation of the cause(s) of the anomaly based on one or more child sensors associated with the cause(s) and one or more resolutions mapped to the child sensor(s).

Abstract: Techniques for maintaining list-type text formatting when converting content from a source content format to a destination content format are disclosed. A system generates text content by applying text formatting tags to segments of characters obtained from a source electronic document. The system parses a static-display type source electronic document to obtain character data of the characters in the source document. The system analyzes the parsed data to identify text arranged in a list-type text format in the source document. The system generates text content in a destination content format different from the source format by applying tags to segments of the text content designating the segments items in a list.

Abstract: Techniques are described for creating a network-link between a virtual network in a cloud environment and a service endpoint associated with a service provided by another cloud environment. The network-link is created based on network resources and one or more link-enabling virtual networks being deployed in the first cloud environment and the second cloud environment.

Abstract: For end-to-end encryption of a virtual cloud network, a VPN tunnel from a customer device is terminated at a host network headend device using encryption keys secured in hardware and managed by the customer. The network headend device can be a card in a bare-metal server with one or more network virtualization devices. The network headend device is configured to receive a first key provisioned by a customer; receive a first data packet sent from a device of the customer; and decrypt the first data packet using the first key to obtain information. A network virtualization device is configured to receive the information from the network headend device; ascertain that the information is to be sent to a virtual machine in a virtual cloud network; ascertain that data in the virtual cloud network is configured to be encrypted; and encrypt the information with a second key to generate a second data packet before routing the second data packet to the virtual machine.

Abstract: Techniques are described for providing a multi-cloud control plane (MCCP) in a first cloud infrastructure (included in a first cloud environment provided by a first cloud services provider) that enables services and/or resources provided in the first cloud infrastructure to be utilized by users of a second cloud environment, where the second cloud environment is different than the first cloud environment. The multi-cloud infrastructure enables a user associated with an account with a second cloud services provider to use, from the second cloud infrastructure, a first service from the set of one or more cloud services. The multi-cloud infrastructure creates a link between the account with the second cloud service provider and a tenancy created in the first cloud infrastructure for enabling using the first service by the user.

Abstract: Techniques for managing digital messages to and from a shared mailbox are disclosed. A system receives a message directed to a shared mailbox. The system analyzes contextual data in the message to identify a set of users with access to the shared mailbox who are recipients of the message. The system performs notification operations to notify different users with access to the shared mailbox of different messages. Notification operations include sending a notification to a particular communications platform, such as email, instant message, or text, that a message in the shared mailbox is associated with the recipient, tagging the message in the shared mailbox with names of recipients associated with the message, and/or categorizing the messages in the shared mailbox according to users.

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Techniques for cache invalidation across distributed microservices are disclosed, including: monitoring, by a resource manager, a resource that is available for obtaining by a set of one or more resource utilizers, wherein a resource utilizer in the set of one or more resource utilizers obtains a version of the resource; publishing, by the resource manager, a notification stream including notifications associated with the resource, wherein the resource utilizer subscribes to the notification stream including the notifications associated with the resource; detecting, by the resource manager, a modification of the resource; responsive to detecting the modification of the resource: publishing a notification to the notification stream that indicates the modification to the resource.

Abstract: Techniques discussed herein relate to provisioning one or more virtual cloud-computing edge devices at a physical cloud-computing edge device. A manifest may be generated/utilized to specify various attributes of the virtual cloud-computing edge devices to be executed at a physical cloud-computing edge device. A first set of resources corresponding to a first virtual cloud-computing edge device may be obtained from memory of a centralized cloud-environment and provisioned at the first virtual cloud-computing edge device. Similar operations may be performed with respect to a second virtual cloud-computing edge device. The techniques described herein split the physical edge device into multiple virtual device resources that can be utilized in combination or separately to extend the functionality and versatility of the physical edge device.

Abstract: Disclosed is an approach to implement a multi-tenant DNS resolver for secure communications for a virtual cloud environment. The approach can perform split-horizon DNS forwarding via an intermediate customized DNS server.

Abstract: The present disclosure generally relates to systems and methods for operation research optimization. The systems and methods include receiving, at a data processing system, a payload including a request for optimizing a service and processing the payload using a meta learning classifier. The processing includes extracting a problem and use case characteristics from the payload, predicting at least one machine learning model capable of solving the problem having the use case characteristics, and executing the at least one machine learning model to solve the problem. The systems and methods also include outputting a solution to the problem for optimizing the service from the at least one machine learning model, and providing the solution to a computing device.

Abstract: Techniques are described for snapshot key inter-dependency resolution during cross-region replications. Dependency between a first type of replication-related information (e.g., crypto keys associated with a parent directory iNode or a file iNode) and a second type of replication-related information (e.g., files, file data/FMAPs, or symbolic links) during a cross-region replication may be resolved to enable non-blocking delta application in a target file system. In some embodiments, temporary dummy entries for the first type of information may be created in the B-tree of the target file system for the out-of-order download (e.g., the second type being downloaded before the first type) of these two types of information. In some embodiments, a consolidation process may be performed between the dummy entries and the later-arriving first type of information.

Abstract: Novel techniques are disclosed for accessing resources in both CSP-provided infrastructure in a region and a remote infrastructure through various control planes associated with a virtual private label cloud (vPLC). In some embodiments, the CSP-provided infrastructure in a region and a remote infrastructure are connected through a communication channel. In some embodiments, a control plane associated with the CSP-provided infrastructure in a region can provide access to both infrastructures (i.e., the CSP-provided infrastructure in a region and the remote infrastructure). In some embodiments, a control plane associated with the vPLC in the CSP-provided infrastructure in a region can provide access to both infrastructures. Yet, in other embodiments, a control plane associated with the vPLC but located within the remote infrastructure can provide access to both infrastructures.

Abstract: In some aspects, techniques may include monitoring a primary load of a datacenter and a reserve load of the datacenter. The primary load and reserve load can be monitored by a computing device. The primary load of the datacenter can be configured to be powered by one or more primary generator blocks having a primary capacity, and the reserve load of the datacenter can be configured to be powered by one or more reserve generator blocks having a reserve capacity. Also, the techniques may include detecting that the primary load of the datacenter exceeds the primary capacity. In addition, the techniques may include connecting the reserve generator blocks to at least one of the primary generator blocks and the primary load using a computing device switch.

Abstract: Disclosed techniques relate to managing power within a power distribution system. Power consumption corresponding to devices (e.g., servers) that receive power from an upstream device (e.g., a bus bar) may be monitored (e.g., by a service) to determine when power consumption corresponding to those devices breaches (or approaches) a budget threshold corresponding to an amount of power allocated to the upstream device. If the budget threshold is breached, or is likely to be breached, the service may initiate operations to distribute power caps for the devices and to initiate a timer. Although distributed, the power caps may be ignored by the devices until they are instructed to enforce the power caps (e.g., upon expiration of the timer). This allows the power consumption of the devices to exceed the budgeted power associated with the upstream device at least until expiration of the timer while avoiding power outage events.

Abstract: Techniques disclosed herein can include receiving an instruction to perform a stress test on one or more cloud computing resources of a cloud computing system. Worker nodes of the cloud computing system can be provisioned by a resource manager to perform the stress test on the cloud computing resources. The resource manager can instruct the one or more worker nodes of the cloud computing system to perform the stress test. Data generated by the worker nodes during the stress test can be received by the resource manager and used to train a projection framework comprising a trained machine learning model. The projection framework can generate a resource projection and the projection can be used to provision cloud computing resources to host the cloud service.

Abstract: Discussed herein is a framework that provisions for customized processing for different classes of traffic. A network device in a communication path between a source host machine and a destination host machine extracts a tag from a packet received by the network device. The packet originates at a source executing on the source host machine and whose destination is the destination host machine. The tag set by the source and indicative of a first traffic class to be associated with the packet, the first traffic class being selected by the source from a plurality of traffic classes. The network device determines, based on the tag, that the first traffic class corresponds to a latency sensitive traffic and processes the packet using one or more settings configured at the network device for processing packets associated with the first traffic class.

Abstract: Aspects of the present disclosure include implementing fabric availability and synchronization (FAS) agents within a fabric network. In one example, a first FAS agent executing on a first network device may receive, from a second network device, a command to modify a configuration of a second network device. The first FAS may upgrade the configuration of the first network device based on the command from a current configuration to a new configuration. The first FAS agent increment a state identifier associated with the configuration of the first network device to a new state identifier associated with the new configuration. The first FAS agent may then transmit a control packet that includes the new state identifier. A second FAS agent executing on the second network device may receive the control packet and execute the command to update the configuration of the second network device to the new configuration.

Abstract: Techniques are provided for using context tags in named-entity recognition (NER) models. In one particular aspect, a method is provided that includes receiving an utterance, generating embeddings for words of the utterance, generating a regular expression and gazetteer feature vector for the utterance, generating a context tag distribution feature vector for the utterance, concatenating or interpolating the embeddings with the regular expression and gazetteer feature vector and the context tag distribution feature vector to generate a set of feature vectors, generating an encoded form of the utterance based on the set of feature vectors, generating log-probabilities based on the encoded form of the utterance, and identifying one or more constraints for the utterance.

Abstract: Techniques are disclosed herein for objective function optimization in target based hyperparameter tuning. In one aspect, a computer-implemented method is provided that includes initializing a machine learning algorithm with a set of hyperparameter values and obtaining a hyperparameter objective function that comprises a domain score for each domain that is calculated based on a number of instances within an evaluation dataset that are correctly or incorrectly predicted by the machine learning algorithm during a given trial. For each trial of a hyperparameter tuning process: training the machine learning algorithm to generate a machine learning model, running the machine learning model in different domains using the set of hyperparameter values, evaluating the machine learning model for each domain, and once the machine learning model has reached convergence, outputting at least one machine learning model.

Abstract: Techniques are described herein for running multiple logical secure elements (LSEs) on the same physical secure element (SE) hardware. For example, embodiments may include running multiple logical Subscriber Identification Modules (SIM) cards on the same physical SIM card or universal integrated circuit card (UICC). Additionally or alternatively, embodiments may include running other secure element applications and services on the same SE hardware. The techniques allow for mobile devices users to access multiple security services, which may originate from different security service providers (SSPs), in a secure manner using the same SE hardware without requiring the integration of multiple physical slots on a mobile device or the physical exchange of different cards within the same slot.

Abstract: Systems and techniques for budget-based management of a cloud infrastructure are disclosed. A system monitors a cloud infrastructure for one or more trigger-action conditions associated with the cloud infrastructure. When a trigger-action condition is detected, the system determines a cloud infrastructure modification action that corresponds to the detected trigger condition. The system may apply the cloud infrastructure modification action to the cloud infrastructure. A cloud infrastructure modification action may modify one or more the workstation resources such that a rate of budget consumption is changed, for example, by pausing a resource, deleting a resource, resuming a paused resource, or changing from one resource to a different resource.

Abstract: Techniques are described for enabling concurrent and non-blocking replication object deletion during cross-region replications. In some embodiments, in a target file system, a target replication pipeline as part of a cross-region replication, and a deletion pipeline operate in parallel. The deletion pipeline deletes processed objects reaching the last pipeline stage of the target replication pipeline after each checkpoint in the target replication pipeline. In some embodiments, after a non-recoverable failure during the cross-region replication, the cross-region replication can be restarted from the beginning (i.e., fresh restart) without waiting for its unused objects in the Object Store to be deleted by utilizing a generation number associated with each object to delete the unused objects in a background process while allowing deleting processed objects as normal for the freshly restarted cross-region replication.

Abstract: Techniques for presenting a graphical user interface (GUI) for configuring a cloud service workstation are disclosed. The system presents a GUI that presents a plurality of possible workstation configurations and the costs associated with each respective workstation configuration, prior to creation of a workstation. The GUI updates the cost associated with a workstation configuration responsive to receiving a selection to modify the workstation configuration from a user. The user may request a different configuration based on a single user input, without specifying which resources to modify. The GUI may recommend a workstation configuration based on one or more user inputs such as a budget, an application service domain, a duration, or a processing power requirement.

Abstract: Systems and methods for automatic network health check are disclosed herein. A method for performing an automatic health check includes determining to perform a health check on a portion of a communications network, the communications network including a plurality of hosts that each include a routing agent and an advertising agent. The method includes adding a test route indicated as applicable to every host and pointing to an IP address to a database, and receiving the test route from the database with the routing agents of at least some of the plurality of hosts.