Abstract: Systems and methods are described for linking Kubernetes resources with underlying infrastructure. An agent running in a Kubernetes cluster can collect data about the cluster. The agent can add universal identifiers (“UIDs”) corresponding to specific characteristics of the Kubernetes cluster. The agent can send the data with the UIDs to a backend service. The backend service can identify a cluster on a host platform that corresponds to the Kubernetes cluster based on the UIDs. The backend service can then link components of the Kubernetes cluster to host machines in the host platform that they are running on. Using the links, a graph model can be displayed in a graphical user interface. The graph model can visually illustrate how the components in the Kubernetes cluster and the host cluster connect to each other.

Abstract: Techniques for providing virtualized entity-related services to a group of users are provided. The techniques include collecting entity-related data from multiple cloud providers. The data is collected via a data stream. Various portions of the data stream are stored in various databases. A portion of the data stream is stored in a graph database that stores relationships between the entities. A portion of the data stream is stored in a key-value database that persistently stores historical virtualized entity data for the group of users. A portion of the data stream is stored in a reverse-indexed database that stores globally-searchable entity data for the entities. A search query is received. Based on the content of the query, a combination of the databases searched. Search results are compared to policies or rules of the group. If an entity is out of compliance, a warning is issued and remedial action taken.