Recommendations page in the Kubernetes view

The Recommendations page in the Kubernetes view provides a set of out-of-the-box recommendations that enables you to handle a probable risk or efficiency issue with the capacity of your Kubernetes resources. 

To access this page, in the navigation pane of the Views tab, click Views > Containers > Kubernetes. In the Kubernetes page, click the Recommendations tab.

The data in the Recommendations page is categorized based on different systems and recommendation types, and grouped under separate tabs. While Forecasted Saturation and Oversubscribed Clusters are risk recommendations, Overallocated Containers is an efficiency recommendation. By default, some columns in the table are hidden. You can show or hide columns using the action menuthat is located next to the table title. You can sort columns in tables alphabetically, or by size. For more information, see Managing charts and tables in Views.

Forecasted Saturation: Infrastructure

This recommendation detects infrastructure elements such as clusters, namespaces, or nodes for which the resource usage has already exceeded thresholds or is expected to exceed the thresholds within the next 30 days.

The widgets on the page provides a quick overview of the recommended CPU, memory, and storage against the current values to avoid saturation.

You can analyze the saturating systems and take appropriate actions on them by reviewing the provided recommendations. You can decide to ignore the recommendations or save the recommendations for review. For details, see To manage the recommendations.

The Forecasted Saturation: Infrastructure table lists the following information for each system. 

¹ - Storage values are displayed for Clusters and Node only.

Forecasted Saturation: Containers

This recommendation detects containers for which the resource usage has already exceeded thresholds or is expected to exceed the thresholds within the next 30 days.

The widgets on the page provides a quick overview of the recommended CPU, memory, and storage against the current values to avoid saturation.

You can analyze the saturating containers and take appropriate actions on them by reviewing the provided recommendations. You can decide to ignore the recommendations or save the recommendations for review. For details, see To manage the recommendations.

The Forecasted Saturation: Containers table lists the following information for each system. 

Oversubscribed Clusters

This recommendation identifies Kubernetes clusters that are oversubscribed. 

The widgets on the page provides a quick overview of the overcommitted CPU and memory values based on total values. 

You can analyze the oversubscribed clusters and take appropriate actions on them by reviewing the provided recommendations. You can decide to ignore the recommendations or save the recommendations for review. For details, see To manage the recommendations.

The Oversubscribed Clusters table lists the following information for each system. 

Overallocated Containers

This recommendation identifies containers with underutilized resources (CPU or memory).

The widgets on the page provides a quick overview of the reclaimable CPU and memory based on the requested versus recommended values.

You can analyze the overallocated containers and take appropriate actions on them by reviewing the provided recommendations. You can decide to ignore the recommendations, save the recommendations for review, or request for an automatic implementation. For details, see To manage the recommendations.

The Overallocated Containers table lists the following information for each system. 

To manage the recommendations

You can take appropriate actions on systems by reviewing the suggested recommendations. You can decide to ignore the recommendations or save the recommendations for review.

By default, all systems in a particular tab are displayed in the first tab. For example, All Forecasted Saturation Containers tab.

Based on your review of recommendations, select the required systems, perform one of the following actions, and click Apply.

• Ignore: When you do not want to implement the suggested recommendations for certain systems, you can ignore them. 
  Select the required systems, click Ignore from the actions list, and click Apply. The ignored systems are then displayed under the Ignored tab. 
  For example, you might not want to reclaim unused resources of a container (that is running business critical applications), though it is categorized as overallocated and recommended to be reconfigured. In this case, you can ignore this container. 
  You can choose to save ignored systems for review or revert them to the original state for further actions. 

• Save for Review: Instead of ignoring, you can save the recommendation details of certain systems for further review. 
  Select the required systems, click Save for review from the actions list, and click Apply. The requested systems are displayed under the Saved for Review tab.
  For example, you can export the report of saved systems and share it with an IT administrator for review or manual implementation of recommendations. 

  You can choose to ignore the saved systems or revert them to the original state for further actions. 

To implement overallocated container recommendations automatically

When you are sure about implementing the recommendations, you can send the details to BMC Helix Intelligent Automation for automatic implementation of the recommendations. 

Select the required systems, click Send to Intelligent Automation from the actions list, and click Apply. The requested systems are displayed under the Intelligent Automation tab. 

BMC Helix Intelligent Automation is an add-on service for BMC Helix Continuous Optimization and is hosted as a SaaS service on BMC Helix Portal.