apotitech,Lionel Tchami,github

👨🏻‍💻 About Me:

👨‍🎓 MSc & BSc in E. Sciences with Minor in Computer Sciences - University of Yaounde I

⌨️ Proficient in provisioning and managing cloud infrastructure, automation, and managing the CICD lifecycle.

🌱 Currently working as a DevOps / Infrastructure Specialist at IBM.

💡 Check out My Website.

🛠 Tech Stack:

Some of my -> Mel♾️☁️ Blog articles.

Table

	Deploying Django Application on AWS with Terraform - Part 1 Hi everyone, I am back with another project. This time we will be working on a CICD pipeline,... 01/04/2024
	Thank you so much everyone! Hi fam, I'm so excited to announce that I've reached 30,000 views and 6K+ followers! This is such a... 21/10/2023
	How Netflix Uses the Cloud - AWS How they Use AWS Services Binge-watching 🍿has become more and more of a phenomena. Netflix... 27/08/2023
	Every Project Deserves its CI/CD pipeline, no matter how small TL;DR In today's tech industry, setting up a CI/CD pipeline is quite easy. Creating a... 28/08/2023
	Create your first Web-app using ChatGPT Introduction Language translation is essential in our globalized world, bridging language... 21/08/2023

List

Deploying Django Application on AWS with Terraform - Part 1 - 01/04/2024
Thank you so much everyone! - 21/10/2023
How Netflix Uses the Cloud - AWS - 27/08/2023
Every Project Deserves its CI/CD pipeline, no matter how small - 28/08/2023
Create your first Web-app using ChatGPT - 21/08/2023

Updated at: 2024-06-01T06:30:05Z

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Lionel Tchami's Projects

jenkins-installation

Jenkins installation instructions for Amazon Linux AMI

jenkins-withdocker

Jenkins Docker image with Docker binaries

k8s-pod-monitor

Kubernetes CLI tool that monitors pods for specified namespace, pod, or status regex filters. Useful when monitoring deployments across multiple namespaces.

kubectx

Faster way to switch between clusters and namespaces in kubectl

kubernetes-1

Additional learning material on kubernetes

This repository has set of ansible playbooks created to setup a kubernetes cluster fully automated with one master and two worker nodes. This will work on physical servers, virtual machines, aws cloud, google cloud or any other cloud servers. This has been tested and verified on Centos 7.3 64 bit operating systems.