Different UnityOne.AI discovery methods

How UnityOne.AI’s multicloud discovery works?

UnityOne’s Multicloud discovery operates using a robust collector architecture that efficiently gathers data across all your cloud environments. This architecture enables customers to frequently set up their scans, ensuring that new discoveries are continually made and your resource inventory remains up-to-date.

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FAQs

UnityOne’s multicloud discovery supports a wide range of cloud platforms, including Amazon AWS, Microsoft Azure, Google GCP, Oracle Cloud, and OpenStack.
UnityOne employs automated discovery processes that query cloud-native APIs to gather comprehensive inventory details. It continuously updates this information, ensuring that your inventory remains accurate and up-to-date, even as your multicloud environment evolves.
Yes, UnityOne’s multicloud discovery product offers visualization capabilities that allow you to track and visualize operational dependencies between various cloud resources. This feature helps you understand how different components interact and rely on each other within your multicloud environment.
UnityOne captures detailed tracking information such as asset tags, make, model, and operating system details. This data facilitates efficient asset end-of-life management by identifying outdated or underutilized assets for timely decommissioning and replacement.
Yes, UnityOne’s multicloud discovery product integrates seamlessly with CMDBs, consolidating asset data from multiple cloud platforms into a centralized repository. This integration ensures automated data synchronization and enhances asset management processes, enabling informed decision-making regarding asset utilization and lifecycle management.