kubesphere VS Grafana

##################################################### ### 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.

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana: