Kubestone vs KubeAdvisor: What are the differences?
Developers describe Kubestone as "Benchmarking Operator for Kubernetes". It is a benchmarking Operator that can evaluate the performance of Kubernetes installations. Benchmarks runs are defined as Custom Resources and executed in the cluster using Kubernetes resources: Pods, Jobs, Deployments and Services. On the other hand, KubeAdvisor is detailed as "It helps DevOps adopt best practices for Kubernetes". It helps teams adopt best practices to accelerate the adoption of Kubernetes, and optimize their existing stack, with machine learning. It scans K8s to make infrastructure and cloud-native applications reliable, resilient, and observable.
Kubestone and KubeAdvisor belong to "Container Tools" category of the tech stack.
Some of the features offered by Kubestone are:
- Supports common set of benchmarks to measure: CPU, Disk, Network and Application performance
- Fine-grained control over Kubernetes Scheduling primitives: Affinity, Anti-Affinity, Tolerations, Storage Classes and Node Selection
- Cloud Native: Benchmarks runs are defined as Custom Resources and executed in the cluster using Kubernetes resources: Pods, Jobs, Deployments and Services
On the other hand, KubeAdvisor provides the following key features:
- Performance by continuously watching throttled containers/apps and recommending improvements
- Utilization by comparing used resources with the available capacity to reallocate them based on variable workloads
- Cost Optimization by suggesting changes at the VM level to save money in case of cloud infrastructure or identify the best configurations if you are running Kubernetes on-prem