cloudprober VS kubesphere

Do you mean that your service doesn't have enough traffic all the time? Then you can (and should) use synthetic clients to send requests to your endpoint. They provide both a minimal amount of traffic all day round and also can report on responses they get and improve your coverage. Example project: https://github.com/google/cloudprober

If your service might at times fall to almost zero requests outside business hours, having a synthetic client is a must. You can use Blackbox exporter as mentioned by u/SuperQue or CloudProber, both work well for simple cases (one step site check or API call), for anything more complicated (multi step scenarios) you are better off scripting it.

Relatively easy to achieve: through variety of available opensource projects like cloudprober or blackbox exporter (if your test case is straight forward) or custom made programs out of bash, python, golang (if your test case is more complex).

##################################################### ### Welcome to KubeSphere! ### ##################################################### Account: admin Password: P@88w0rd NOTES： 1. After logging into the console, please check the monitoring status of service components in the "Cluster Management". If any service is not ready, please wait patiently until all components are ready. 2. Please modify the default password after login. ##################################################### https://kubesphere.io 2020-xx-xx xx:xx:xx

KubeSphere - end-to-end application deployment on Kubernetes

Minikube - minikube implements a local Kubernetes cluster KubeSphere - Easy-to-use Production Ready Container Platform https://kubesphere.io skippbox - A Desktop application for k8s kind - Kubernetes IN Docker - local clusters for testing Kubernetes https://kind.sigs.k8s.io/ k3d - k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker.

KubeSphere is a distributed operating system for cloud-native application management, using Kubernetes as its kernel. It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem.   KubeSphere offers wizard web UI and various enterprise-grade features for operation and maintenance, including multi-cloud and multi-cluster management, DevOps (CI/CD), application lifecycle management, service mesh, multi-tenancy, observability, storage and network management, and GPU support.    For more information, you can visit https://kubesphere.io or https://github.com/kubesphere.