Abstract: One or more data catalogs of a plurality of data catalogs that are relevant to a prompt are determined. The one or more determined data catalogs are utilized to locate one or more data files and applying one or more security policies to the one or more data files to determine one or more of the data files to which a user associated with the prompt is permitted to access. A query response is generated utilizing the one or more of the data files to which the user associated with the prompt is permitted to access.

Abstract: A first dashboard is generated utilizing a machine learning model and user settings associated with a user. One or more follow-up prompts are received. Data needed to answer the one or more follow-up prompts is determined and obtained utilizing one or more data catalogs. One or more subsequent dashboards are generated utilizing the machine learning model and the user settings associated with the user.

Abstract: A first dashboard is generated utilizing a machine learning model and user settings associated with a user. One or more follow-up prompts are received. Data needed to answer the one or more follow-up prompts is determined and obtained utilizing one or more data catalogs. One or more subsequent dashboards are generated utilizing the machine learning model and the user settings associated with the user.

Abstract: Automated, intelligent selection of regions for cloud-based firewall deployment and scaling of firewalls down to as few as zero in a cloud region is described herein. The service collects and evaluates Usage metrics pertaining to firewalls deployed in each region are collected and evaluated to determine whether to scale firewalls in a region up or down. Scaling down of firewalls to zero is conditioned on at least one other region having a firewall(s) available for traffic inspection such that the number of total firewalls available for inspection of network traffic is at least one at any given time. When scaling up through deployment of additional firewalls, if endpoint devices located near a region in which a firewall is not available contribute substantially to firewall usage in another region, the region nearest to those endpoint devices is determined and selected for deployment of the additional firewalls.

Abstract: Automated, intelligent selection of regions for cloud-based firewall deployment and scaling of firewalls down to as few as zero in a cloud region is described herein. The service collects and evaluates Usage metrics pertaining to firewalls deployed in each region are collected and evaluated to determine whether to scale firewalls in a region up or down. Scaling down of firewalls to zero is conditioned on at least one other region having a firewall(s) available for traffic inspection such that the number of total firewalls available for inspection of network traffic is at least one at any given time. When scaling up through deployment of additional firewalls, if endpoint devices located near a region in which a firewall is not available contribute substantially to firewall usage in another region, the region nearest to those endpoint devices is determined and selected for deployment of the additional firewalls.

Abstract: Automated, intelligent selection of regions for cloud-based firewall deployment and scaling of firewalls down to as few as zero in a cloud region is described herein. The service collects and evaluates Usage metrics pertaining to firewalls deployed in each region are collected and evaluated to determine whether to scale firewalls in a region up or down. Scaling down of firewalls to zero is conditioned on at least one other region having a firewall(s) available for traffic inspection such that the number of total firewalls available for inspection of network traffic is at least one at any given time. When scaling up through deployment of additional firewalls, if endpoint devices located near a region in which a firewall is not available contribute substantially to firewall usage in another region, the region nearest to those endpoint devices is determined and selected for deployment of the additional firewalls.

Abstract: The present disclosure is directed to management of migration of SD-WAN solutions in a multi-cloud structure upon detection of a failover event. In one aspect, a method includes monitoring, using virtual bonds of a network orchestration component, clusters of virtual management components of multiple cloud networks, corresponding virtual management components of one of the multiple cloud networks implementing one or more services of a Software-Defined Wide Access Network (SD-WAN) solution; detecting, using the virtual bonds, a failover event at the one of the multiple cloud networks; and identifying, by the virtual bonds, a new destination cloud network to migrate the one or more services of the SD-WAN solution to, from a source cloud network at which the failover event is detected.

Abstract: The present disclosure is directed to management of migration of SD-WAN solutions in a multi-cloud structure upon detection of a failover event. In one aspect, a method includes monitoring, using virtual bonds of a network orchestration component, clusters of virtual management components of multiple cloud networks, corresponding virtual management components of one of the multiple cloud networks implementing one or more services of a Software-Defined Wide Access Network (SD-WAN) solution; detecting, using the virtual bonds, a failover event at the one of the multiple cloud networks; and identifying, by the virtual bonds, a new destination cloud network to migrate the one or more services of the SD-WAN solution to, from a source cloud network at which the failover event is detected.