kubeman VS Grafana

Kubectl-debug - Allows you to run a new container with all the troubleshooting tools installed in running pod for debugging purpose PowerfulSeal - A powerful testing tool for Kubernetes clusters Crash-diagnostic - Crash-Diagnostics is a tool to help investigate, analyze, and troubleshoot unresponsive or crashed Kubernetes clusters K9s - Kubernetes CLI To Manage Your Clusters In Style! Kubernetes CLI Plugin - Doctor - kubectl cluster triage plugin for k8s - 🏥 (brew doctor equivalent) Knative Inspect - A light-weight debugging tool for Knative's system components Kubeman - To find information from Kubernetes clusters, and to investigate issues related to Kubernetes and Istio kpexec - kpexec is a kubernetes cli that runs commands in a container with high privileges

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: