Servicenow, Inc.

Aviya Aron

Robert Bitterfeld

Hail Tal

Bary Solomon

Boris Erblat

Asaf Garty

Tom Bar Oz

Daniel Badyan

Alexandra Feiguine

Noam Biran

Sreenevas Subramaniam

Shay Herzog

Shiri Hameiri

Shimon Sant

Venkatesh Ainalli

Naveen Kumar Hr

Julian Michael Flores

Saurabh Dewan

Prateek Bansal

Shaun James Millin

Rohit Makhija

Srinivas Ramanujaiah

Pallav Pant

Sumit Verma

Usha Sri Ramidi

A mock server implementation for discovery applications is provided. A computing system includes a mock server, which receives a client request from a mock client on a discovery server. The client request corresponds to a user query associated with a discovery of resources on a remote computing system. The mock server determines a first response from a mock response dataset. The first response to the client request is determined based on the received client request. The mock response dataset includes a set of responses associated with a sequence of operations executed in the past for the discovery of resources on the remote computing system. The mock server transmits the determined first response to the mock client on the discovery server. The mock client receives the transmitted first response and sends the received first response to a discovery application interface on a user device.

Implementation of a mock server for discovery applications

A computing system includes a database and a discovery application. The discovery application obtains credentials for accessing a server hosting a software bus application which connects a plurality of applications within a managed network. The discovery application selects, based on a pattern corresponding to the software bus application, one or more files to access, transmits, to the server, instructions to access the one or more files, and receives therefrom data identifying a plurality of attributes of the software bus application. Based on this data, the discovery application transmits, to the server, instructions to identify communicative connections established between the plurality of software applications by way of the software bus application and receives therefrom data identifying the communicative connections. Based on (i) the plurality of attributes and (ii) the communicative connections, the discovery application generates a mapping that represents the communicative connections and stores the mapping in the database.

Discovery of database and related services

A computing system includes a database and a discovery application that initiates discovery of software applications within a managed network by probing the computing devices for applications in stalled thereon. The discovery application executes discovery patterns in an attempt to classify a discovered application and determines that the discovered application is unclassified after executing the discovery patterns. In response to determining that the discovered application is unclassified, the discovery application (i) generates a configuration item representing the discovered application without classification and (ii) selects a characteristic file containing attributes of the discovered application. The discovery application provides the characteristic file to a machine learning (ML) classifier trained using a plurality of characteristic files. The discovery application receives, from the ML classifier, a classification of the discovered application, modifies the configuration item to include the classification of the discovered application, and stores, in the database, the configuration item as modified.

Identifying applications with machine learning

A system may include persistent storage configured to store: a shared classification model including a plurality of classifiers based on training data from a plurality of managed networks, and a representation of a plurality of software applications executable computing devices within a particular managed network. The system may also include a discovery application configured to perform operations including obtaining attributes of a software process. The operations may also include determining, by way of the shared classification model and based on the attributes, a suggested classifier of the plurality of classifiers and determining, by way of the suggested classifier and based on the attributes, a suggested classification for the software process. The operations may further include receiving an indication that the suggested classification has been accepted, based on receiving the indication, updating the representation to indicate the suggested classification, and storing, in the persistent storage, the representation as updated.

Shared machine learning model for application discovery

Discovery of software bus architectures

Persistent storage may contain software models defining corresponding software packages and entitlements to a software package, wherein use of the entitlements is constrained by entitlement rules. One or more processors may be configured to: (i) determine, by querying computing devices, a first deployment of the software package; (ii) determine, by querying an interface of a public cloud platform, a second deployment of the software package, wherein use of the entitlements on the public cloud platform is constrained by platform rules; (iii) determine, based on the constraints, an assignment of the entitlements to the first deployment and the second deployment; (iv) determine that the assignment leaves one or more deployed instances of the software package not covered by the entitlements; and (v) determine a modification to the entitlements that: satisfies the constraints and facilitates a further assignment of the entitlements that covers all deployed instances of the software package.

Discovery and distribution of software applications between multiple operational environments

An example system includes persistent storage and a discovery application configured to perform operations including obtaining a uniform resource locator (URL) that addresses a function of an application programming interface (API) provided by a remote computing system of remote computing systems that provide computing resources. The function returns attributes of computing resources specified by the URL. The operations additionally include generating (i) a system-specific portion of a request that invokes execution of the function and (ii) a system-invariant portion of the request. The system-specific portion adheres to first rules adopted by the remote computing system for interacting with the API. The system-invariant portion adheres to second rules adopted by each of the remote computing systems for interacting with respective APIs thereof. The operations yet further include transmitting the request to the remote computing system, receiving therefrom a response containing the attributes, and storing, in the persistent storage, the attributes.

Interface for supporting integration with cloud-based service providers

A computing system is disposed within a computational instance of a remote network management platform associated with a managed network. The computing system (i) performs a discovery process that identifies attributes of computing devices and software applications disposed within the managed network; (ii) stores, in a persistent storage of the computing system, the attributes that were identified; (iii) indexes the attributes that were stored in the persistent storage for searching; (iv) receives a configuration file for a particular software application; (v) uses a search engine to find matches between one or more terms in the configuration file and one or more of the attributes; (vi) based on the matches, defines an operational mapping between the particular software application and one or more of the computing devices or software applications of those disposed within the managed network; and (vii) stores, in the persistent storage, a representation of the operational mapping.

Dictionary-based service mapping

A discovery application may obtain, from a remote storage system configured to host storage structures, first data that identifies relationships among the storage structures. The discovery application may generate, based on the first data, a mapping of the storage structures, store the mapping as one or more configuration items, and provide, to the remote storage system, instructions configured to cause the remote storage system to notify the discovery application of modification events associated with the storage structures. The discovery application may receive, from the remote storage system, a notification of a modification event associated with a particular storage structure of the storage structures and, in response, obtain, from the remote storage system, second data that identifies a modification to the particular storage structure. The discovery application may modify the mapping based on the second data and store the modified mapping by updating the one or more configuration items.

Discovery of remote storage services and associated applications

An embodiment may involve a computational instance including persistent storage, the persistent storage containing representations of virtual machines previously discovered in a server cluster. The embodiment may also involve one or more processors configured to perform operations involving: (i) transmitting, to the server cluster, a request for an event log, the event log containing events related to virtual machines configured in the server cluster; (ii) receiving, from the server cluster, the event log; (iii) determining that the event log contains one or more significant events related to a particular virtual machine from virtual machines configured in the server cluster; (iv) performing a discovery pattern on the server cluster, wherein output from performing the discovery pattern includes a characterization of the particular virtual machine; and (v) causing an update to be written to the persistent storage, wherein the update includes the characterization of the particular virtual machine.

Discovery of hyper-converged infrastructure

A system includes a configuration management database (CMDB). Application programming interface (API) proxies associated with a managed network provide access to resources. The system also includes a discovery application configured to perform operations including determining a proxy uniform resource locator (URL) used to provide access to a particular resource of the resources through an API proxy of the API proxies and obtaining, from a computing device associated with the API proxy, an assignment of proxy URLs to corresponding target URLs by the API proxy. Each target URL of the corresponding target URLs address a respective resource of the resources. The proxy URLs are used to provide access to the resources through the API proxy. The operations also include selecting, from the assignment, a target URL assigned to the proxy URL, generating a mapping between the proxy URL and the target URL, and storing the mapping in the CMDB.

Discovery and service mapping of application programming interface proxies

A system includes persistent storage configured to store, a mapping of computing resources provided by a remote computing system to a managed network. The system also includes an application that obtains instructions to modify a computing resource provided by the remote computing system and, based on the instructions, generates and transmits, to the remote computing system, a request to modify the computing resource. The application receives, from the remote computing system, a response indicating a modification to the computing resource and selects a discovery pattern configured to verify the modification by obtaining attributes associated therewith. The application obtains, from the remote computing system, the attributes by executing the discovery pattern and determines, based on the attributes, that the modification has been completed according to the instructions. Based on this determination, the application updates the mapping to indicate the modification and stores, in the persistent storage, the mapping as updated.

Discovery and mapping of cloud-based resource modifications

A system may include a database, where a managed network includes a computing cluster that provides networking, storage, and virtualization services distributed across a plurality of computing devices, where each computing device can execute one or more respective software applications and comprises: (i) a respective controller, and (ii) a respective storage device, and where the storage devices of the plurality of computing devices collectively form a storage pool. The system may also include a proxy server application configured to: request and receive computing cluster data that identifies the computing cluster; request and receive storage pool data that identifies the storage pool; request and receive storage container data that identifies storage containers of the storage pool; request and receive controller data that identifies the controllers of the plurality computing devices; and provide, to the database, the computing cluster data, the storage pool data, the storage container data, and the controller data.

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Shafir, Israel

Aviya Aron