Resolving capacity risk and efficiency issues by using recommendations
About recommendations
A recommendation is a suggestion based on best practices about how to avoid potential capacity risks or improve efficiency. Out-of-the-box recommendations are available for the following technologies or platform entities:
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Microsoft Azure
- Kubernetes
- VMware vSphere
Recommendations for a technology automatically start getting generated after you install the capacity view for that technology or after you install Cloud Migration Simulation.
Each recommendation comprises the following elements:
- A brief overview of the issue.
- One or more suggested actions to resolve the issue. By performing the recommended actions, you can avoid the potential capacity risks, improve the overall efficiency, and reduce costs.
Recommendations are grouped as follows: Risk recommendations and Efficiency recommendations.
- Risk recommendations are provided to prevent a risk. For example, in case a disk is nearing saturation; the recommendation provides information about how much space must be added to prevent saturation for the next three months.
- Efficiency recommendations are not to prevent a problem, but to improve resource usage by eliminating wastage and reducing associated costs. For example, most of the old snapshots consume resources to save images that are not used since a long time. The recommendation provides information about how much savings can you achieve by deleting these snapshots to save resources and improve the data center efficiency.
If Migration Simulation is installed, the Efficiency recommendations for cloud technologies also provide the estimated cost savings (in $) that you can achieve by performing the recommended actions. The cost savings are computed based on the catalog costs from cloud vendors.
You can configure a recommendation as per your requirement by modifying the condition in the corresponding Optimizer rule.
A user with administrative privileges can reconfigure or add new Optimizer rules to modify the recommendations. For more information, see Configuring-and-managing-Optimizer-rules.
Recommendation types
The following types of recommendations are available:
Supported recommendation types per platform entity
The following table provides a quick view of the supported recommendation types per entity. For detailed information about a recommendation type, see the earlier section.
For example, the following recommendations are displayed for vSphere views:
To access recommendations
You can access recommendations on the capacity view pages of the corresponding platform.
Platform | Page in the Views tab |
---|---|
AWS | |
GCP | |
Azure | |
Kubernetes | |
vSphere |