Automatically discover resources available in the account (and sub-accounts), for inclusion, monitoring and analysis of the consumption profile. For more complex environments, it is possible to add more than one account, in which case the tool is prepared for this situation. This process is continuous to always keep the resource base updated. At least the most popular resources, such as EC2, S3, RDS, among others.

Real-time dashboards for monitoring resource consumption, with presentation of indicators (tables and graphs) and alerts. Possibility of drill-down visualization, to obtain information down to the level of an instance, for example.

Implements a mechanism for generating alerts and notifications in general for all possible events such as:      • Violation of Policies      • Execution of Actions      • Budget overrun Alerts are visual in the tool dashboards, but also with the possibility of sending emails, and the possibility of integration with other tools* such as Slack, WhatsApp, Telegram, among others. A multiplatform App is available for receiving these notifications with a summarized (or even full) presentation of the monitored data. *Available soon...

Implements reports presenting general and detailed costs classified by:      • Account, sub-account, or category      • Type of Resource      • Period      • Region      • TAG This report includes an option for presenting data with information on estimates and forecasts of future costs, as well as providing forecasts for possible budget overruns, based on all the information collected. This data (time series) is used to apply models to indicate trends.

You can define consumption profile classes as a basis for implementing policies. The idea is to define limiting values, by class of service and budget that allow monitoring the levels and limits of resource consumption.

Reports with the TOP 10 most consumed resources. That can clearly show you everything you must pay attention.

Allow the creation of policies, guided by thresholds, to apply rules that can generate alerts, recommendations and apply actions, examples:      • Alerts of approaching and exceeding limits      • Recommendations for optimizations      • Actions such as turning off or removing pre-defined resources (automation)