Kubernetes optimization pack
The Kubernetes optimization pack allows optimizing containerized applications running on a Kubernetes cluster. Through this optimization pack, Akamas is able to tackle the problem of distributing resources to containerized applications in order to minimize waste and ensure the quality of service.
To achieve these goals the optimization pack provides parameters that focus on the following areas:
Memory allocation
CPU allocation
Number of replicas
Similarly, the bundled metrics provide visibility on the following aspects of tuned applications:
Memory utilization
CPU utilization
Component Types
The component types provided in this optimization pack allow modeling the entities found in a Kubernetes-based application, optimizing their parameters, and monitoring the key performance metrics.
Installing
Here’s the command to install the Kubernetes optimization pack optimization-pack using the Akamas CLI:
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