Abstract: There is provided a method, comprising: extracting untagged resource records from a database including resource values indicating utilization of resources of a cloud computing environment, generating a key-value distribution associating aggregated resource values with tag key/tag value pairs extracted from each of the untagged resource records, generating a structured prompt including: existing rules for generating virtual tags, the key-value distribution, and instructions for identifying tag keys of the untagged resource records that are semantically related to a concept represented by virtual tags generated based on the existing rules, and for computing a new rule(s) for generating a new virtual tag and/or for expanding coverage of an existing virtual tag(s) according to the identified tag keys, feeding the structured prompt into an LLM to obtain new rule(s), and adding the new rule(s) to a rule repository for application to the untagged resource records and to new untagged resource records.

Abstract: There is provided a method, comprising: grouping resource records based on respective timestamps and first metadata attributes, each resource record including a resource value indicating utilization of a resource of a computing cloud, adding telemetry records to an indexed dataset separate from the resource records with defined time-based validity periods, each telemetry record including a telemetry value indicating a measurable activity within the computing cloud, each telemetry record is associated with a timestamp and second metadata attributes, normalizing resource values of the resource records and telemetry values of the telemetry records to a defined range representing a common scale, matching the resource records and the telemetry records by matching the normalized resource values and the normalized telemetry values, and generating and assigning virtual tags according to the matches, each virtual tag associating utilization of a specific resource to a specific entity for a specific measurable activity

Abstract: A system for monitoring usage of cloud resources across multiple cloud services, comprising a unified data engine and a virtual tag engine. The unified data engine is adapted to collect cloud resources usage data relating to a plurality of cloud resources of a plurality of cloud services used by a plurality of clients, and update, based on the cloud resources usage data, a unified data structure mapping usage of the plurality of cloud resources by the plurality of clients. The virtual tag engine is adapted to generate one or more virtual tags based on one or more tag rules for monitoring usage of one or more cloud resources of multiple cloud services by one or more of the plurality of clients, apply the virtual tag(s) to the unified data structure, and execute one or more multi-cloud operations over the multiple cloud services using the virtual tag(s).

Abstract: A system for monitoring usage of cloud resources across multiple cloud services, comprising a unified data engine and a virtual tag engine. The unified data engine is adapted to collect cloud resources usage data relating to a plurality of cloud resources of a plurality of cloud services used by a plurality of clients, and update, based on the cloud resources usage data, a unified data structure mapping usage of the plurality of cloud resources by the plurality of clients. The virtual tag engine is adapted to generate one or more virtual tags based on one or more tag rules for monitoring usage of one or more cloud resources of multiple cloud services by one or more of the plurality of clients, apply the virtual tag(s) to the unified data structure, and execute one or more multi-cloud operations over the multiple cloud services using the virtual tag(s).