# US 2026/0074976 A1 · Health model for cloud service health monitoring > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0074976 A1 - Document ID: US20260074976A1 - Status: Published application - Kind: A1 - Application number: 19/316,560 - Filed: 2025-09-02 - Published: 2026-03-12 - Earliest claimed: 2024-04-22 - Assignees: Microsoft Technology Licensing, LLC - Applicants: Microsoft Technology Licensing, LLC - Inventors: Zhangwei XU; John Bronn SOCHA-LEIALOHA; Rajive KUMAR; Yusuf TINWALA; Yingnong DANG - Web page: https://patentgrep.com/patent/US20260074976A1 ## CPC - H04L 43/0817: by checking functioning - H04L 41/0816: the condition being an adaptation, e.g. in response to network events - H04L 41/145: {involving simulating, designing, planning or modelling of a network} - H04L 43/045: for graphical visualisation of monitoring data - H04L 43/16: Threshold monitoring - H04L 41/065: {involving logical or physical relationship, e.g. grouping and hierarchies} - H04L 41/0895: Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements - H04L 41/16: using machine learning or artificial intelligence - H04L 41/22: comprising specially adapted graphical user interfaces [GUI] - H04L 41/40: using virtualisation of network functions or resources, e.g. SDN or NFV entities - H04L 41/5009: Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract The techniques described herein automatically correlate the health of cloud resources to a broader health determination for an entity executing within, or supported by, a distributed computing environment. In contrast to the typical manual analysis that is required to make a broader health determination for a specific entity, the techniques generate and use a standard health model that can be applied, or scaled, to detect unhealthy scenarios across a variety of different entities with different owners (e.g., different tenants and/or different cloud resource providers). Furthermore, to meet varying owner perspectives on health, the techniques include a layer on top of the standard health model that enables an owner to provide input that customizes the standard health model for their own entity. ## Claims ### Claim at position 1 1-20. (canceled) ### Claim 21 A method comprising: generating, by a processing unit, a directed graph health model that defines dependencies between nodes within a distributed computing environment, wherein: the nodes include lower-level nodes representing resource-based entities; the nodes include higher-level nodes representing service-based entities; and edges that connect respective pairs of nodes, the edges representing dependencies between the respective pairs of nodes; determining, based on at least one monitored metric, that each of a plurality of resource-based entities connected to a service-based entity in the directed graph health model has transitioned into a particular health state; determining that a number of resource-based entities in the plurality of resource-based entities satisfies a threshold established to indicate a health state transition for the service-based entity, wherein the threshold defines a percentage of a total number of resource-based entities connected to the service-based entity in the directed graph health model; and in response to determining that the number of resource-based entities in the plurality of resource-based entities satisfies the threshold established to indicate the health state transition for the service-based entity, executing an action associated with the health state transition for the service-based entity. ### Claim 22 (depends on 21) The method of claim 21, wherein the action comprises at least one of: providing, to an owner of the service-based entity, a notification indicating the health state transition; allocating cloud resources to the service-based entity; or implementing a mitigation measure on the plurality of resource-based entities. ### Claim 23 (depends on 21) The method of claim 21, wherein each resource-based entity of the resource-based entities represented by the lower-level nodes in the directed graph health model and each service-based entity of the service-based entities represented by the higher-level nodes in the directed graph health model comprises an identification parameter to distinguish one entity from another entity. ### Claim 24 (depends on 23) The method of claim 23, further comprising: causing the directed graph health model to be displayed on a display device along with a graphical indication of the health state transition for the service-based entity; receiving a user selection of the service-based entity via the directed graph health model caused to be displayed on the display device; and based on the user selection, causing the identification parameters associated with the plurality of resource-based entities to be displayed on the display device. ### Claim 25 (depends on 21) The method of claim 21, wherein the resource-based entities represented by the lower-level nodes in the directed graph health model comprise a virtual machine entity, a storage unit entity, a container entity, a physical server entity, a network switch entity, a container registry entity, a key vault instance entity, or a micro-service entity. ### Claim 26 (depends on 21) The method of claim 21, wherein the percentage and the total number of resource-based entities are specific to a type of resource-based entity. ### Claim 27 (depends on 21) The method of claim 21, wherein the threshold is determined by a machine learning model configured to predict when a performance of the service-based entity transitions from a first health state to a second health state. ### Claim 28 (depends on 21) The method of claim 21, wherein the threshold and the action are defined based on input from a tenant of the distributed computing environment, wherein the tenant owns the service-based entity. ### Claim 29 A system comprising: a processing system; and a computer readable storage medium storing instructions that, when executed by the processing system, cause the system to perform operations comprising: generating a directed graph health model that defines dependencies between nodes within a distributed computing environment, wherein: the nodes include lower-level nodes representing resource-based entities; the nodes include higher-level nodes representing service-based entities; and edges that connect respective pairs of nodes, the edges representing dependencies between the respective pairs of nodes; determining, based on at least one monitored metric, that each of a plurality of resource-based entities connected to a service-based entity in the directed graph health model has transitioned into a particular health state; determining that a number of resource-based entities in the plurality of resource-based entities satisfies a threshold established to indicate a health state transition for the service-based entity, wherein the threshold defines a percentage of a total number of resource-based entities connected to the service-based entity in the directed graph health model; and in response to determining that the number of resource-based entities in the plurality of resource-based entities satisfies the threshold established to indicate the health state transition for the service-based entity, executing an action associated with the health state transition for the service-based entity. ### Claim 30 (depends on 29) The system of claim 29, wherein the action comprises at least one of: providing, to an owner of the service-based entity, a notification indicating the health state transition; allocating cloud resources to the service-based entity; or implementing a mitigation measure on the plurality of resource-based entities. ### Claim 31 (depends on 29) The system of claim 29, wherein each resource-based entity of the resource-based entities represented by the lower-level nodes in the directed graph health model and each service-based entity of the service-based entities represented by the higher-level nodes in the directed graph health model comprises an identification parameter to distinguish one entity from another entity. ### Claim 32 (depends on 31) The system of claim 31, wherein the operations further comprise: causing the directed graph health model to be displayed on a display device along with a graphical indication of the health state transition for the service-based entity; receiving a user selection of the service-based entity via the directed graph health model caused to be displayed on the display device; and based on the user selection, causing the identification parameters associated with the plurality of resource-based entities to be displayed on the display device. ### Claim 33 (depends on 29) The system of claim 29, wherein the resource-based entities represented by the lower-level nodes in the directed graph health model comprise a virtual machine entity, a storage unit entity, a container entity, a physical server entity, a network switch entity, a container registry entity, a key vault instance entity, or a micro-service entity. ### Claim 34 (depends on 29) The system of claim 29, wherein the percentage and the total number of resource-based entities are specific to a type of resource-based entity. ### Claim 35 (depends on 29) The system of claim 29, wherein the threshold is determined by a machine learning model configured to predict when a performance of the service-based entity transitions from a first health state to a second health state. ### Claim 36 (depends on 29) The system of claim 29, wherein the threshold and the action are defined based on input from a tenant of the distributed computing environment, wherein the tenant owns the service-based entity. ### Claim 37 A computer readable storage medium storing instructions that, when executed by a processing system, cause a system to perform operations comprising: generating a directed graph health model that defines dependencies between nodes within a distributed computing environment, wherein: the nodes include lower-level nodes representing resource-based entities; the nodes include higher-level nodes representing service-based entities; and edges that connect respective pairs of nodes, the edges representing dependencies between the respective pairs of nodes; determining, based on at least one monitored metric, that each of a plurality of resource-based entities connected to a service-based entity in the directed graph health model has transitioned into a particular health state; determining that a number of resource-based entities in the plurality of resource-based entities satisfies a threshold established to indicate a health state transition for the service-based entity, wherein the threshold defines a percentage of a total number of resource-based entities connected to the service-based entity in the directed graph health model; and in response to determining that the number of resource-based entities in the plurality of resource-based entities satisfies the threshold established to indicate the health state transition for the service-based entity, executing an action associated with the health state transition for the service-based entity. ### Claim 38 (depends on 37) The computer readable storage medium of claim 37, wherein the action comprises at least one of: providing, to an owner of the service-based entity, a notification indicating the health state transition; allocating cloud resources to the service-based entity; or implementing a mitigation measure on the plurality of resource-based entities. ### Claim 39 (depends on 37) The computer readable storage medium of claim 37, wherein: each resource-based entity of the resource-based entities represented by the lower-level nodes in the directed graph health model and each service-based entity of the service-based entities represented by the higher-level nodes in the directed graph health model comprises an identification parameter to distinguish one entity from another entity; and the operations further comprise: causing the directed graph health model to be displayed on a display device along with a graphical indication of the health state transition for the service-based entity; receiving a user selection of the service-based entity via the directed graph health model caused to be displayed on the display device; and based on the user selection, causing the identification parameters associated with the plurality of resource-based entities to be displayed on the display device. ### Claim 40 (depends on 37) The computer readable storage medium of claim 37, wherein the threshold and the action are defined based on input from a tenant of the distributed computing environment, wherein the tenant owns the service-based entity.