Hewlett-packard Development Company, L.P.

Entit Software LLC

Micro Focus Lcc

Hewlett Packard Enterprise Development LP

Michael Gopshtein

Eyal Kenigsberg

Rotem Steuer

Nick Ioffe

Amichai Nitsan

Haim Shuvali

Hana Giat

Adi Lipin

Nitsan Amichai

Sergey Pastukhov

Boaz Shor

Guy Offer

Nir Shilon

David Taub

Shir Yerushalmi

Efrat Ben David

Hanan Shilon

Examples disclosed herein relate, among other things, to an apparatus that includes a processor and a non-transitory machine-readable medium on which is stored instructions that, when executed by the processor, cause the processor to generate a report, the report including a value, access a memory, the memory storing indications of whether values are to be masked, determine that the value is to be masked based on the accessed memory, and substitute the value in the report with a masked value.

Report comprising a masked value

Examples disclosed herein relate to triggering a high availability feature in response to detecting impairment of client experience. Examples include detecting, based on content of interactions between at least one application component and a client, a threshold impairment of an experience of the client in relation to the at least one application component. Examples also include triggering a high availability feature for the at least one application component in response to detecting the threshold impairment.

Triggering a high availability feature in response to detecting impairment of client experience

Examples disclosed herein relate, among other things, to a monitoring system. The monitoring system may include a report analyzer configured to receive a report from one of a plurality of devices and determine whether the report includes at least one masked value. If the report includes at least one masked value, the report analyzer may be configured to determine, based on a plurality of reports associated with the masked value, whether an unmasking condition is satisfied, and if the unmasking condition is satisfied, to mark the masked value for unmasking.

In one implementation, a system for a session key repository includes a monitor engine to monitor communication between a first computing device and a second computing device that is encrypted with a private key, an identification engine to determine a number of session keys and session IDs that correspond to the encrypted communication, a rules engine to determine a number of rules for storing and sharing the number of corresponding session keys and session IDs, a repository engine to send a portion of the number of session keys and session IDs to a network tool based on the number of rules and identification of the network tool.

Session key repository

In one implementation, a system can include a tenant engine to maintain a plurality of tenant profiles with access to a first set of metrics of a plurality of metrics based on authorization via a certificate, a metrics engine to maintain a plurality of metrics derived from instrumentation of a plurality of applications, and a report engine to provide the first set of metrics in response to a report request when the report request is from a user associated with a first tenant profile of the plurality of tenant profiles and the first tenant profile is authorized to access the first set of metrics based on the certificate associated with a private key used to sign a first application of the plurality of applications.

Metrics authorization based on a certificate

Example embodiments relate to monitoring application flow of an application responsive to receiving a monitoring mode upon launch of a session of the application. In this manner, the embodiments disclosed herein enable monitoring an application on a first computing device based on a first received monitoring mode and monitoring the same application on a second computing device based on a second received monitoring mode.

Monitoring application flow of applications using a regular or extended mode

A non-transitory machine-readable storage medium encoded with instructions executable by a processing resource of a computing device to access network traffic exchanged with a web server application. The storage medium also identifies, in the accessed network traffic, an analysis reporting message of a client system and extracts, from the analysis reporting message, information representing a client system analysis of at least one prior transaction between the client system and a proxy server associated with the web server application. The information representing the client system analysis can comprise information describing an experience of the client system, including an indication of an amount of time to perform at least one prior transaction between the client system and the proxy server.

Identifying an analysis reporting message in network traffic

Packets from a first network entity to a second network entity are received. A maximal size of packets from the second network entity to the first network entity is determined based on information in the received packets.

Determining a maximal size of packets

Example embodiments relate to generalized snapshots based on multiple partial snapshots. An example method may include accessing multiple partial snapshots, each from a different client. The method may include creating a generalized snapshot from the multiple partial snapshots. The generalized snapshot includes multiple target pixels, and the color of each of the multiple target pixels may be determined by considering colors of multiple source pixels, each from a different partial snapshot.

Generalized snapshots based on multiple partial snapshots

Example embodiments relate to partial snapshots for creating generalized snapshots. An example method may include, in response to an event, accessing a user interface screen or view associated with an application. The screen or view includes multiple pixels arranged over an area. The method may include sampling the multiple pixels by capturing a portion of the total pixels included in the screen or view. The sampling may include maintaining a dispersion of the captured pixels over the area of the screen or view and preventing clustering of captured pixels within sub-areas of the area. The method may include transmitting the captured portion as a partial snapshot to a system to create a generalized snapshot from the partial snapshot and other partial snapshots.

Partial snapshots for creating generalized snapshots

Methods, systems, and computer-readable and executable instructions are provided for simulating real user issues in support environments. Simulating real user issues in support environments can include providing stored data related to a real user issue associated with an application to a support device having the ability to modify the application, the stored data can include network traffic associated with a user device in a live environment and inputs provided via the user device. Simulating real user issues in support environments can include causing the support device to simulate the real user issue using the stored data.

Simulating real user issues in support environments

Example embodiments relate to classifying application protocol interfaces (APIs) in terms of their relation to user experience. Example embodiments may determine that a user action occurred and monitor a first thread separate from a user interface (UI) thread of the computing device. The first thread may process a first API in response to the occurrence of the user action. A determination may be made as to whether the first API being processed on the first thread is related to the user action. Responsive to the first API being related to the user action, a determination may be made as to whether the first API causes the first thread to update the UI thread of the computing device. Responsive to the UI thread being updated, the first API may be tagged as affecting user experience.

Classifying application protocol interfaces (APIS) as affecting user experience

A method for discovering an operating system of a remote machine includes monitoring network communications to detect a plurality of data packets that were generated by the remote machine. The contents of each detected data packet are read so as to extract a packet signature of each detected data packet. Each packet signature is compared with at least one signature of a database of signatures in order to determine a similarity between each packet signature and the signature from the database. A confidence level for at least one candidate operating system is calculated based on the determined similarities. A candidate operating system is selected based on the confidence level for that operating system. Relating computer program product and data processing system are also disclosed.

Identifying remote machine operating system

Examples disclosed herein relate to determining the type of a network tier. Examples include determining that a target network tier is a forwarding type network tier if a protocol of communications between the target network tier and a source network resource is the same as a protocol of communications between the target network tier and a backend network tier. Examples further include comparing select content of communications between the target and backend network tiers to select content of communications between the target network tier and the source networking resource, if the protocols are the same.

Growing community of inventors

Yehud, Israel

Michael Gopshtein