Winter '23 Release
NEW FEATURES
Custom Fisсal Periods
Cloudaware consumes billing data files from cloud vendors as is. Some reports, such as AWS Cost and Usage Reports (CUR), provide more detailed cost and usage aggregations by hour or day. However, these metrics are still based on a calendar. For every line item, metrics such as 'Usage Start Date' and 'Usage End Date' don't give ground for calculating a resource cost for a specific unit of time.
Cloudaware offers a new approach to cost management under custom fiscal periods. First, a customer describes their fiscal period structure. Next, using advanced logic in Google BigQuery, Cloudaware maps the calendar and custom fiscal dates to generate a unified dataset containing both the 'Report Year-Month' metric and a metric indicating customer-defined fiscal periods. Then, Cloudaware uses this dataset to visualize cloud costs based on customer-defined fiscal periods in the Cloudaware BI Analytics portal:
UPDATED FEATURES
AWS Amortized Costs
Cloudaware supports amortized cost calculations. Customers using AWS Reservations such as Amazon EC2 Reserved Instances can better understand how AWS spending is distributed across billing periods. Leverage Cloudaware advanced analytics:
Learn more about cost datasets types in AWS: https://aws.amazon.com/blogs/aws-cloud-financial-management/understanding-your-aws-cost-datasets-a-cheat-sheet/
UPDATED SERVICES
TunHub for VMware vCenter
Customers leverage Cloudaware TunHub to set up a secure connection to their private environments. The TunHub integration requires the installation of the Cloudaware Breeze agent.
Cloudaware extends Breeze functionality to support vulnerability scanning of VMware vCenter virtual machines. VMware vCenter doesn't have the metadata to retrieve the unique ID required for mapping VMs that need to be scanned and the IDs of Breeze agents installed on those machines. By employing the field 'identityBiosUuid', Cloudaware matches vCenter VMs and Breeze agent IDs to simplify Breeze deployment in vCenter and scanning of vCenter VMs at scale.