Argo vs KubeAdvisor: What are the differences?
Developers describe Argo as "Container-native workflows for Kubernetes". Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition). 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.
Argo and KubeAdvisor belong to "Container Tools" category of the tech stack.
Some of the features offered by Argo are:
- DAG or Steps based declaration of workflows
- Artifact support (S3, Artifactory, HTTP, Git, raw)
- Step level input & outputs (artifacts/parameters)
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
Argo is an open source tool with 4.6K GitHub stars and 726 GitHub forks. Here's a link to Argo's open source repository on GitHub.