kdash VS Grafana

A simple terminal dashboard for Kubernetes built with Rust, best alternative k9s

kdash: A fast and simple dashboard for Kubernetes. Its created by me :)

[Optional] KDash

Note: I'm using KDash to monitor the cluster; you can try it or use kubectl, k9s, and so on as you prefer.

When you communicate with a Kubernetes cluster, using kubectl, or a client library, or a tool like KDash, you are primarily interacting with the Kubernetes API server. The API server is responsible for managing the cluster and is responsible for handling requests from a client.

Mostly KDash and if possible progress on a JHipster blueprint for Rust microservices

I'm not building web-apps yet, currently i'm doing a terminal UI app. You can check the cargo.toml for deps. I'm planning to build a Rust blueprint for JHipster quite soon so I'll be able to directly compare productivity with Spring boot. And yes there is no equivalent of SB in Rust but I don't think you need that in Rust, there are great web frameworks like Actix or Rocket which provides most of what you need from SB and since you dont have to do OOP in Rust you actually dont need many Hibernate like features IMO, but you have http://diesel.rs/ to cover that.

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:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.