Automation solutions for event logging and debugging on kubernetes
Automation solutions for event logging and debugging on KUBERNETES are disclosed. A method for navigating data associated with a distributed application cluster includes providing an edge module configured to deploy a Berkeley Packet Filter (BPF) probe and a corresponding BPF program in a computing environment. The BPF probe is triggered based on an event associated with a distributed application running in a user space of the computing environment, the distributed application being one entity of a plurality of entities on the distributed application cluster. Data associated with the event is collected in a kernel space of the computing environment via the BPF program. At least one relationship is identified between the distributed application and at least one entity of the plurality of entities based on the collected data. At least one recommended data set based on the at least one identified relationship is provided via a user interface.
1. A method for navigating data associated with a distributed application cluster, the method comprising:
providing an edge module configured to deploy a Berkeley Packet Filter (BPF) probe and a corresponding BPF program in a computing environment, the computing environment comprising a first entity of a plurality of hierarchically-related entities comprising the distributed application cluster;
triggering the BPF probe based on an event associated with a second entity of the plurality of hierarchically-related entities running in a user space of the computing environment, the second entity corresponding to a distributed application executing in the distributed application cluster;
collecting data associated with the event in a kernel space of the computing environment via the BPF program;
identifying at least one relationship between the second entity corresponding to the distributed application and at least one other entity of the plurality of hierarchically-related entities based on the collected data; and
providing, via a user interface, at least one recommended data set based on the at least one identified relationship.
2. The method of claim 1 , further comprising transferring the collected data from the BPF program to the edge module.
3. The method of claim 1 , wherein the at least one recommended data set includes at least a portion of the collected data.
4. The method of claim 1 , wherein providing the at least one recommended data set includes providing at least one of a data table and a graphical visualization representing the data set.
5. The method of claim 1 , wherein identifying the at least one relationship between the second entity and at least one other entity of the plurality of hierarchically-related entities based on the collected data includes identifying the relationship based on a user context and a knowledge graph that represents at least the hierarchical relationships between the plurality of hierarchically-related entities.
6. The method of claim 5 , wherein the knowledge graph further represents interactions between two or more entities of the plurality of hierarchically-related entities, the interactions comprising one or more of how much the entities communicate, how often the entities are linked together, and behavior of the entities within relevant time windows.
7. The method of claim 1 , wherein the first entity comprising the computing environment corresponds to a node in the distributed application cluster and the second entity comprising the distributed application corresponds to a service running on the node.
8. The method of claim 7 , wherein the plurality of hierarchically-related entities comprises two or more of nodes, pods, containers, and services running on the distributed application cluster.
9. The method of claim 5 , further comprising:
providing, via the user interface, a command entry field;
receiving, via the command entry field, a partially completed command from a user; and
suggesting at least one command corresponding to the at least one recommended data set based on the knowledge graph and the user context in response to receiving the partially completed command.
10. The method of claim 9 , wherein the at least one command instructs the user interface to display at least one of a data table and a graphical visualization representing the at least one recommended data set.
11. A system for navigating data associated with a distributed application cluster, the system comprising:
at least one memory storing computer-executable instructions; and
at least one processor for executing the computer-executable instructions stored in the memory, wherein the instructions, when executed, instruct the at least one processor to:
provide an edge module configured to deploy a Berkeley Packet Filter (BPF) probe and a corresponding BPF program in a computing environment, the computing environment comprising one entity of a plurality of hierarchically-related entities comprising the distributed application cluster;
trigger the BPF probe based on an event associated with a second entity of the plurality of hierarchically-related entities running in a user space of the computing environment, the second entity corresponding to a distributed application executing in the distributed application cluster;
collect data associated with the event in a kernel space of the computing environment via the BPF program;
identify at least one relationship between the second entity corresponding to the distributed application and at least one other entity of the plurality of hierarchically-related entities based on the collected data; and
provide, via a user interface, at least one recommended data set based on the at least one identified relationship.
12. The system of claim 11 , wherein the instructions, when executed, further instruct the at least one processor to:
transfer the collected data from the BPF program to the edge module.
13. The system of claim 11 , wherein the at least one recommended data set includes at least a portion of the collected data.
14. The system of claim 11 , wherein providing the at least one recommended data set includes providing at least one of a data table and a graphical visualization representing the data set.
15. The system of claim 11 , wherein identifying the at least one relationship between the second entity and at least one other entity of the plurality of hierarchically-related entities based on the collected data includes identifying the relationship based on a user context and a knowledge graph that represents at least the hierarchical relationships between the plurality of hierarchically-related entities.
16. The system of claim 15 , wherein the relationships represented in the knowledge graph comprise the hierarchical organization of the entities and interactions between two or more entities, the interactions comprising one or more of how much the entities communicate, how often the entities are linked together, and behavior of the entities within relevant time windows.
17. The system of claim 11 , wherein the first entity comprising the computing environment corresponds to a node in the distributed application cluster and the second entity comprising the distributed application corresponds to a service running on the node.
18. The system of claim 17 , wherein the plurality of hierarchically-related entities comprises two or more of nodes, pods, containers, and services running on the distributed application cluster.
19. The system of claim 15 , wherein the instructions, when executed, further instruct the at least one processor to:
provide, via the user interface, a command entry field;
receive, via the command entry field, a partially completed command from a user; and
suggest at least one command corresponding to the at least one recommended data set based on the knowledge graph and the user context in response to receiving the partially completed command.
20. The system of claim 19 , wherein the at least one command instructs the user interface to display at least one of a data table and a graphical visualization representing the at least one recommended data set.