Cloud providers introduce new features every day. When cloud environments develop so extensively, it can be difficult to keep up with the diversity of cloud services and objects and streamline their utilization.
Cloudaware pays respect to the complexity of cloud infrastructure, automatically discovering and reflecting all data relationships. Our data model is created for the cloud by design.
Advanced data model to accommodate data from multiple sources.
Enhance the existing data model to suit organization-specific needs.
Relationships based on native cloud service dependencies.
Expand the data model to extend your legacy CMDB.
Cloudaware CMDB data model is designed to aggregate data from multiple sources using fields and relationships. For example, the AWS EC2 Instance object has a relationship with the Cloudaware Vulnerability Scan object, which is fetched from data sources such as Tenable, Qualys, and Rapid 7. In addition, the EC2 Instance object also has a ‘Cloudaware Last Scan Date’ field, populated based on the last scan date received from supported scanning integrations.
As of now, Cloudaware supports >2,500 cloud services. We are continuously extending our data model to reach the infinity.
Customers can extend the cloud-native data model by adding custom attributes. Using Breeze facts and related lists, Cloudaware users can promote any machine fact to become an instance-level attribute. For example, a simple Breeze fact like kernel version becomes the instance attribute of the same level as instance type or availability zone.
Manage tags in one place:
Using data about software assets and infrastructure capacity, Cloudaware users can create custom software license CMDB objects to track software usage across cloud and non-cloud infrastructure based on hardware specifications and running hours. License management dashboards provide a single real-time view of costs, consumption, and optimization opportunities for licenses in use.