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At work we had to deploy a project developed with VueJS and Laravel on an Ubuntu server, with Apache, PHP, MariaDB, where everything was versioned on github, it had no development branches, nor fork repositories. Deploying the project had some details that we need to understand and learn so as not to make mistakes in …
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Digitalocean also has a CLI to manage the "DOCTL" infrastructure, which works similarly to AWS CLI, this tool allows us to avoid using the web interface of this provider.
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To finish the small lab and finish the last part of K3s, we will name some important details, install and create the service for Kubernetes Dashboard and finally we will list some interesting tools.
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In Parte 2 of K3s, a description of various concepts that are handled in Kubernetes was made, the kubectl client was installed and connectivity tests to the Kubernetes API were done.
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We continue with the tests in our small cluster with K3s built on the Raspberry Pi (RPI v3, RPI v4) that I have in my laboratory, for the tests we use the official K3s - Rancher documentation and also the official Kubernetes documentation.
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Experimenting with Docker Swarm, I got to the task of building something with the Raspberry Pi (RPI v3, RPI v4) that I have in my lab, after googling a lot and chatting with my friend Sergio, he recommended using K3s which is a Kubernetes distribution with backend sqlite3 based lightweight storage system compatible …
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When we create a new container, it has unlimited access to system resources, so if one occupies all the memory, the other containers will be affected or, failing that, the operating system runs out of resources.
Docker has the ability to apply a memory limit to a specific container.
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