Abstract: Automation solutions for event logging and debugging on KUBERNETES are disclosed. A method for identifying and clustering events on a distributed application cluster includes providing a distributed agent configured to run on the distributed application cluster, the distributed application cluster including a plurality of nodes, wherein at least one distributed application runs on each node of the plurality of nodes, and providing a plurality of edge modules, each edge module being configured to run on a corresponding node of the plurality of nodes. A plurality of data coresets corresponding to each node of the plurality of nodes are tracked via the plurality of edge modules. A unified data coreset is generated by merging the plurality of data coresets and the unified data coreset is transferred to the distributed agent to train an unsupervised model configured to identify and cluster events across the distributed application cluster.

Abstract: Automation solutions for event logging and debugging on KUBERNETES are disclosed. A system for providing no-instrumentation telemetry for a distributed application cluster includes at least one processor for executing computer-executable instructions stored in a memory. 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 the 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. Data associated with the event is captured in a kernel space of the computing environment via the BPF program. The captured data is transferred from the kernel space of the computing environment to the user space of the computing environment.

Abstract: Automation solutions for event logging and debugging on KUBERNETES are disclosed. A method for linking and navigating data collected from 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. Data associated with the event is collected in a kernel space of the computing environment via the BPF program. The collected data is transferred from the kernel space of the computing environment to the user space of the computing environment. One or more semantic labels are assigned to the collected data.

Abstract: Automation solutions for event logging and debugging on KUBERNETES are disclosed. A method for identifying and clustering events on a distributed application cluster includes providing a distributed agent configured to run on the distributed application cluster, the distributed application cluster including a plurality of nodes, wherein at least one distributed application runs on each node of the plurality of nodes, and providing a plurality of edge modules, each edge module being configured to run on a corresponding node of the plurality of nodes. A plurality of data coresets corresponding to each node of the plurality of nodes are tracked via the plurality of edge modules. A unified data coreset is generated by merging the plurality of data coresets and the unified data coreset is transferred to the distributed agent to train an unsupervised model configured to identify and cluster events across the distributed application cluster.

Abstract: Automation solutions for event logging and debugging on KUBERNETES are disclosed. A system for providing no-instrumentation telemetry for a distributed application cluster includes at least one processor for executing computer-executable instructions stored in a memory. 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 the 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. Data associated with the event is captured in a kernel space of the computing environment via the BPF program. The captured data is transferred from the kernel space of the computing environment to the user space of the computing environment.

Abstract: 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.

Abstract: Automation solutions for event logging and debugging on KUBERNETES are disclosed. A system for event logging and debugging on a distributed application cluster includes a user interface and at least one processor for executing instructions. 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 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. Data associated with the event is collected in a kernel space of the computing environment via the BPF program and transferred from the BPF program to the edge module. A query request associated with the collected data is sent to the edge module. A response corresponding to the collected data is received at the user interface.

Abstract: An inventory system includes inventory holders, container holders, containers carried by the container holders, mobile drive units, stations, and a management module. The management module instructs the mobile drive units to move the inventory holders and container holders to stations. Container holders are loaded with containers of inbound inventory items at a first station. Inbound inventory items are transferred from containers to inventory holders at a second station. Outbound inventory items are transferred from inventory holders to containers at a third station. Containers of outbound inventory items are removed from container holders at a fourth station.

Abstract: An inventory system includes inventory holders, container holders, containers carried by the container holders, mobile drive units, stations, and a management module. The management module instructs the mobile drive units to move the inventory holders and container holders to stations. Container holders are loaded with containers of inbound inventory items at a first station. Inbound inventory items are transferred from containers to inventory holders at a second station. Outbound inventory items are transferred from inventory holders to containers at a third station. Containers of outbound inventory items are removed from container holders at a fourth station.