Manu-Abuya

Manu-Abuya

Geek Repo

Location:Nairobi, Kenya

Twitter:@ManuAbuya

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Manu-Abuya's repositories

Website-Uptime-Monitor

Website Uptime Monitor: Python script for monitoring website availability and sending email notifications on downtime using UptimeRobot API and Gmail SMTP.

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CI-CD-Pipeline-Automation

A GitHub repository for an advanced CI/CD pipeline automation project using Jenkins, AWS CodePipeline, and AWS CodeDeploy. Automate your build, test, and deployment processes seamlessly.

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django-dev-docker

A simple to-do web app built with Django and Docker. Manage your tasks efficiently. Get started with ease!

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amplify-react-graphql

Deploy your React app effortlessly on AWS Amplify. Enjoy automated deployment, scalability, and high availability with AWS's managed hosting solution.

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aws-elastic-beanstalk-express-js-sample

Sample web application for the AWS DevOps Engineer Learning Path.

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bash-automation-toolbox

Streamline command line tasks with the Bash Automation Toolbox. Automate file manipulation, directory traversal, and system monitoring. Boost your productivity effortlessly.

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CloudProvisioner

CloudProvisioner: An advanced AWS project for deploying and managing cloud infrastructure with virtual machines, networking, load balancing, and storage. Learn real-world cloud deployment and management.

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GoStore-Ecommerce

"GoStore-Ecommerce: A robust e-commerce platform built with Go and Gin, enabling seamless online shopping experiences. Manage stores, sell products, process payments, and track orders.

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Manu-Abuya

My personal repository

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microservices-docker-kubernetes

Microservices architecture with Docker and Kubernetes for scalable and containerized application deployment.

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multi-container-app-docker-compose

A multi-container application using Docker Compose. Separate services (web server, database, caching) communicate in containers. Learn containerization, orchestration, and microservices architecture.

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Sonar-Rock-vs-Mine-Prediction

Python project predicting rocks or mines with SONAR data using Logistic Regression.

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Titanic-EDA-Analysis

Explore Titanic dataset to uncover survival insights. Analyze demographics, ticket class, and cabins. Understand factors influencing passenger survival.

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