k9s VS kubernetes

Looking for a terminal-based Kubernetes experience but one that's a bit more sophisticated than Kubectl? K9s is a complete terminal UI that lets you monitor, manage, and benchmark your Kubernetes workloads. It offers a versatile dashboard-like interface in your console.

k9s version v0.24.14 (just for fun)

Pierre: The first tool I recommend is K9s. It's not just a time-saver but a productivity booster. With its intuitive interface, you can speed up all the usual kubectl commands, access logs, edit resources and configurations, and more. It's like having a personal assistant for your cluster management tasks.

The last thing you really need is a common set of tools that you want fingertip access to. I really commonly use LazyGit and K9s in my day job so those are the tools I will show off in this article.

K9s is your best friend (get it? 🐶) when exploring your cluster via the terminal. It shares commonality with Vim for its interaction style using shortcuts and starting commands with: but don’t let that discourage you. K9s keeps a vigilant eye on Kubernetes activities, providing real-time information and intuitive commands for resource interaction.

k9s: brew install k9s

I would like to put in a vote for k9s, which is also on the list at Terminal Trove. [0] It's the most convenient tool I've ever found for Kubernetes management. Based on that experience I'll definitely be checking out Harlequin.

[0] https://k9scli.io/

$ wget https://github.com/derailed/k9s/releases/download/v0.29.1/k9s_Darwin_amd64.tar.gz $ tar -xzf k9s_Darwin_amd64.tar.gz $ sudo mv k9s /usr/local/bin/

All in all, run things, do some kubectl apply -f something.yml every day, install k9s, and try to configure a big one cluster at some point.

Learning new tools like Kubernetes and explore different ways of installing it, experimenting with various plugins, etc. If these tools are installed natively on the host and something goes wrong, it might require resetting the host.

Kubernetes

Recently, I’ve spent some time playing around with Kubernetes (K8s). Having never used it before, I gave it my humble first try. I used it as part of a project where I wanted to use self host some tools on a VPS and write some server code for some life automations and potentially a blog in the future. You can find the Github Repo for the project at the time of writing for it here.

Kubernetes - An open-source system for automating deployment, scaling, and management of containerized applications. Kubernetes Documentation - Official documentation.

A manufacturing company might leverage a combination of Kafka for real-time data streaming, Kubernetes for container orchestration, and dbt for data transformations. They could use Dataplex for unified data management and security across domains. This technology stack would enable the Production Data team to monitor and analyze production metrics in real-time, the Supply Chain Data team to manage and optimize logistics and inventory, and the Quality Control Data team to ensure product compliance and quality. By investing in these tools, the company can effectively support the decentralized data management and governance principles of Data Mesh.

The best method to counter these problems is CloudNativePG operator, this operator manages PostgreSQL workloads on any supported Kubernetes cluster.

Stacklok was founded in 2023 by Craig McLuckie (co-creator of Kubernetes) and Luke Hinds (creator of the OpenSSF project Sigstore), with the goal of helping developers produce and consume open source software more safely.

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