IP Library › Granted Patent US 12,464,003
Granted Patent B1
US 12,464,003 · App. 18/412,015 · Granted Nov 4, 2025

Capturing and using application-level data to monitor a compute environment

Inventors: Chirag P. Pandya (Sammamish, WA); Alex Ramachandran Nirmala (Cupertino, CA); Anil K. Nanduri (San Jose, CA); Amit Bapat (Seattle, WA); Srivenkatesh Kumar Vaithianathan (Dublin, CA); Connor A Brooks (Redwood City, CA); Yijou Chen (Cupertino, CA)
Assignee: Fortinet, Inc.
H04L63/1425G06F9/455G06F9/545G06F16/9024G06F16/9038G06F16/9535G06F16/9537G06F21/57H04L43/045H04L43/06H04L63/10H04L67/306H04L67/535G06F16/2456
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Quick Facts
Patent No.
US 12,464,003
App. No.
18/412,015
Granted
Nov 4, 2025
Kind
B1
Abstract

An illustrative method includes receiving, by a data platform configured to monitor the compute environment, runtime workload data collected by an agent deployed to the compute environment, wherein the runtime workload data comprises user space data collected from a user space of the compute environment and kernel space data collected from a kernel space of the compute environment. The method further includes performing, by the data platform, a monitoring operation based on the user space data and the kernel space data of the runtime workload data.

Claims (39)

1 . A method of monitoring a compute environment, the method comprising:

receiving, by a data platform configured to monitor the compute environment, runtime workload data collected by an agent deployed to the compute environment, wherein the runtime workload data comprises user space data collected from a user space of the compute environment and kernel space data collected from a kernel space of the compute environment, and wherein the user space data is collected by way of a user probe dynamically inserted by the agent into an application running in the compute environment during runtime; and

performing, by the data platform, a monitoring operation based on the user space data and the kernel space data of the runtime workload data.

2 . The method of claim 1 , further comprising:

determining, by the data platform and based on a characteristic of the application, a type of the user probe; and

providing, by the data platform and based on the determining the type of the user probe, the user probe to be inserted into the application.

3 . The method of claim 1 , wherein the user space data comprises data representing a user input to the application.

4 . The method of claim 3 , wherein the user input comprises a command line input to the application.

5 . The method of claim 1 , wherein:

the application comprises a load balancer;

the kernel space data comprises data indicating the load balancer as a source of a data packet routed by the load balancer; and

the user space data comprises data indicating a source of the data packet as received by the load balancer.

6 . The method of claim 1 , wherein the kernel space data comprises encrypted data representing an encrypted request and the user space data comprises unencrypted data related to the encrypted request.

7 . The method of claim 1 , wherein the performing the monitoring operation comprises detecting an anomaly based at least in part on the user space data.

8 . The method of claim 7 , wherein the detecting the anomaly comprises associating the user space data with the kernel space data.

9 . The method of claim 1 , wherein the performing the monitoring operation comprises generating a logical graph of nodes and edges based at least in part on the user space data, the logical graph representing activities in the compute environment.

10 . The method of claim 1 , wherein the user probe comprises an extended Berkely Packet Filter (eBPF) module.

11 . A method of monitoring a compute environment, the method comprising:

receiving, by an agent deployed to a compute environment being monitored by a data platform, kernel space data collected from a kernel space of the compute environment;

receiving, by the agent, user space data collected from a user space of the compute environment, wherein the agent receives the user space data from a user probe dynamically inserted into an application running in the compute environment by the agent during runtime;

generating, by the agent based on the kernel space data and the user space data, runtime workload data; and

providing, by the agent, the runtime workload data to the data platform, the data platform configured to perform a monitoring operation based on the runtime workload data.

12 . The method of claim 11 , wherein the user space data comprises data representing a user input to the application.

13 . The method of claim 11 , wherein:

the application comprises a proxy server;

the kernel space data comprises data indicating the proxy server as a source of a data packet routed by the proxy server; and

the user space data comprises data indicating a source of the data packet as received by the proxy server.

14 . The method of claim 11 , wherein the kernel space data comprises encrypted data representing an encrypted request and the user space data comprises unencrypted data related to the encrypted request.

15 . The method of claim 11 , wherein the user probe comprises an extended Berkely Packet Filter (eBPF) module.

16 . A non-transitory, computer-readable medium storing computer instructions that, when executed, direct one or more processors of one or more computing devices to perform a process comprising:

receiving runtime workload data collected by an agent deployed to a compute environment, wherein the runtime workload data comprises user space data collected from a user space of the compute environment and kernel space data collected from a kernel space of the compute environment, and wherein the user space data is collected by way of a user probe dynamically inserted by the agent into an application running in the compute environment during runtime; and

performing a monitoring operation based on the user space data and the kernel space data of the runtime workload data.

17 . The computer-readable medium of claim 16 , wherein the user space data comprises data representing a user input to the application.

18 . The computer-readable medium of claim 16 , wherein:

the application comprises a load balancer;

the kernel space data comprises data indicating the load balancer as a source of a data packet routed by the load balancer; and

the user space data comprises data indicating a source of the data packet as received by the load balancer.

19 . The computer-readable medium of claim 16 , wherein the kernel space data comprises encrypted data representing an encrypted request and the user space data comprises unencrypted data related to the encrypted request.

20 . The computer-readable of claim 16 , wherein the user probe comprises an extended Berkely Packet Filter (eBPF) module.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 7, 2024
From: LACEWORK, INC.
To: FORTINET, INC.
Reel/Frame 069301/0327 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 12, 2024
From: PANDYA, CHIRAG P.; RAMACHANDRAN NIRMALA, ALEX; NANDURI, ANIL K.; BAPAT, AMIT; VAITHIANATHAN, SRIVENKATESH KUMAR; BROOKS, CONNOR A.; CHEN, YIJOU
To: LACEWORK, INC.
Reel/Frame 066116/0349 →
Continuity (8)
Continuation In Part 18517747 · Nov 22, 2023
Continuation 18119045 · Mar 8, 2023
Continuation 17510179 · Oct 25, 2021
Continuation 16786822 · Feb 10, 2020
Continuation 16134806 · Sep 18, 2018
Provisional Application 63523766 · Jun 28, 2023
Provisional Application 62650971 · Mar 30, 2018
Provisional Application 62590986 · Nov 27, 2017
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