Servicenow, Inc.

Hail Tal

Robert Bitterfeld

Asaf Garty

Bary Solomon

Aviya Aron

Noam Biran

Tom Bar Oz

Boris Erblat

Alexandra Feiguine

Daniel Badyan

Shay Herzog

Shiri Hameiri

Sreenevas Subramaniam

Haviv Rosh

Yuval Rimar

Leonid Suslov

Shimon Sant

Abhishek Kumar

Qingbin Li

Arik Sityon

Tal Epshtein

Julian Michael Flores

Aakash Umeshbhai Bhagat

Saurabh Dewan

Atul Gupta

Shruti Jain

Shaun James Millin

Prateek Bansal

Priyanka Goel

Rohit Makhija

Darshan Ghanalinga Murthy

Noy Shpatz

Dov Harel

Barel Mengel

Aditya Kumar

Srinivas Ramanujaiah

Purvi Dayabhai Pipaliya

Manish S V Kumar

Pallav Pant

Sumit Verma

Usha Sri Ramidi

Data communication between a plurality of computer processes are tracked. Relationships between the plurality of computer processes are classified including by analyzing the data communication between the plurality of computer processes using a machine learning model. Based at least in part on the classified relationships between the plurality of computer processes, an existence of a service provided by a functional group of computer processes included in the plurality of computer processes are automatically discovered.

Automatic service discovery

A discovery application on a computing system is provided. The discovery application receives a user input, which is for discovery of resources associated with a cloud operating system of a cloud computing system. The user input includes an authentication credential and account information associated with the cloud operating system. Based on the received input, the discovery application executes a discovery pattern comprising operations for the discovery of resources. The cloud operating system includes a group of services to access such resources. At least one of the operations corresponds to an API call to an API endpoint associated with a service of the group of services. The discovery application receives a response to the API call from the cloud operating system. The response includes a payload of information associated with the resources. The discovery application updates, based on the received response, one or more configuration items in a configuration management database.

Discovery of resource clusters

A computing system may include a database disposed within a remote network management platform that manages a managed network, and a software application associated with the platform. The software application may be configured to: obtain a unit of programmatic code from a third-party computing system, where the unit of programmatic code is hosted by the third-party computing system on behalf of the managed network, and where a program using the unit of programmatic code is executable by computing resources of the third-party computing system that are assigned on demand; parse the unit of programmatic code for a pattern indicative of respective relationships between the unit of programmatic code and service(s) provided by the third-party computing system; generate an association between the unit of programmatic code and the service(s); and store, in the database, representations of the unit of programmatic code, the service(s), and the association therebetween as discovered configuration items.

Discovery and service mapping of serverless resources

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

Discovery of virtualization environments

A computing system may include a database disposed within a remote network management platform that manages a managed network, and a software application associated with the platform and configured to: obtain, from an external computing system, information about a function-application arranged to execute source code segment(s) on demand; determine that the obtained information relates to (i) a plurality of authorization-keys each respectively arranged to authorize on-demand execution of one of the source code segments, (ii) a first key-value string pair that enables establishment of connectivity to a service of the external computing system or of another computing system, and/or (iii) a second key-value string pair that enables establishment of connectivity to a data source of the external computing system or of another computing system, and responsively determine association(s) between the source code segment(s), the function-application, the service, and/or the data source; and store the association(s) in the database.

Functional discovery and mapping of serverless resources

A discovery computing system may receive an account identifier (ID) and a set of credentials required to access a first service account. The discovery computing system may transmit a first API query to a remote computing system. The discovery computing system may receive an organization identifier (ID) of the organization from the remote computing system. The discovery computing system may further transmit a second API query to the remote computing system. The discovery computing system may be further configured to receive information about a set of projects, in the organization, from the remote computing system. The discovery computing system may further generate a set of service accounts and further determine the set of resources, in the remote computing system, associated with each of the generated set of service accounts. The discovery computing system may further store the determined set of resources, as configuration items in a persistent storage.

Automatic discovery of cloud-based infrastructure and resources

Embodiments presented herein provide apparatus and techniques for identifying and classifying processes and associated applications executing in a network. All processes executing in a network may be identified using a discovery process. The processes may be clustered based on associations between the processes. Suggested application entries may then be generated based at least in part on the clusters of processes. A configuration item type and a discovery pattern may be generated for each suggested application entry. A subsequent discovery process may use the configuration item type and discovery patterns to identify associated configuration items in the network.

Discovery process identification and classification

The present disclosure is directed to a discovery process that enables discovery of database management systems (DBMSs) hosted by at least one client device of a client network. The disclosed discovery process involves a discovery server disposed on the client network accessing the client device hosting the DBMS to collect configuration item (CI) data on the configuration and operation of management, extraction, and replication processes of the DBMS. More specifically, this discovery process involves the discovery server requesting and receiving certain CI data from the management process of the DBMS, requesting and receiving certain CI data from an operating system (OS) of the client devices, as well as parsing and retrieving certain CI data from configuration and report files of the DBMS. Additionally, the disclosed discovery process is designed to be performed without being granted special or additional privileges within the DBMS itself.

Systems and methods for database management system (DBMS) discovery

Discovery of software bus architectures

The present disclosure relates generally to a system and method for synchronizing updates. A first cloud-based system may be embodied in a multi-instance or multi-tenant framework, and may provide for certain computing systems and configuration items. The first cloud-based system may include a probe system configured to retrieve a list of events from a second cloud computing system, wherein the list of events is representative of updates to resources provided by the second cloud computing system. The first cloud-based system may additionally include a sensor system configured to process the list of events to retrieve a payload for each event in the list of events. An update system may then update an updatable system included in the first cloud computing system based on the payload.

Systems and methods for cloud resource synchronization

An example computing system includes a database disposed within a remote network management platform associated with a managed network that obtains service from a computing cluster that includes one or more worker nodes configured to execute containerized software applications using a containerized orchestration engine. The computing system also includes a computing device configured to identify a namespace associated with the containerized orchestration engine. The computing device is also configured to query a deployment configuration application programming interface (API) associated with a containerized application platform to obtain deployment configuration data. Further, the computing device is configured to query a build configuration API associated with the containerized application platform to obtain build configuration data. In addition, the computing device is configured to store, in the database, the deployment configuration data, the build configuration data, and one or more relationships between the deployment configuration data and the build configuration data.

Discovery of containerized platform and orchestration services

A computing system may include a database disposed within a remote network management platform that manages a managed network, and server device(s) associated with the platform and configured to: transmit, to a third-party computing system, a request for general information identifying computing resources of the third-party computing system assigned to the managed network; receive, from the third-party computing system, a response indicating resource names and types of the resources that were identified; based on the response, determine that a first resource is of a first type, and responsively store, in the database, a first representation that has just data fields containing the general information from the response that identifies the first resource; and based on the response, determine that a second resource is of a second type, and responsively store, in the database, a second representation that has data fields arranged to contain specific information about the second resource.

Partial discovery of cloud-based resources

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

Growing community of inventors

Kohav Yair, Israel

Hail Tal