Many companies are utilizing the cloud for their day to day activities. Many big cloud service providers like AWS, Microsoft Azure have been success-fully serving its increasing customer base. A brief understanding of the char-acteristics of production virtual machine (VM) workloads of large cloud pro-viders can inform the providers resource management systems, e.g. VM scheduler, power manager, server health manager. In our project we will be analysing Microsoft Azure’s VM CPU utilization dataset released in October 2017. We predict the VM workload from the CPU usage pattern like mini-mum, maximum and average from the Azure dataset. Different techniques among Deep learning are used for the prediction by considering the history of the workload. By considering real VM traces, we can show that the predic-tion-informed schedules increase utilization and stop physical resource ex-haustion. We can arrive at a conclusion that cloud service providers can use their workloads’ characteristics and machine learning techniques to enhance resource management greatly.

Mini projects with Azure and AWS deployment

Many companies are utilizing the cloud for their day to day activities. Many big cloud service providers like AWS, Microsoft Azure have been success-fully serving its increasing customer base. A brief understanding of the char-acteristics of production virtual machine (VM) workloads of large cloud pro-viders can inform the providers resource management systems, e.g. VM scheduler, power manager, server health manager. In our project we will be analysing Microsoft Azure’s VM CPU utilization dataset released in October 2017. We predict the VM workload from the CPU usage pattern like mini-mum, maximum and average from the Azure dataset. Different techniques among Deep learning are used for the prediction by considering the history of the workload. By considering real VM traces, we can show that the predic-tion-informed schedules increase utilization and stop physical resource ex-haustion. We can arrive at a conclusion that cloud service providers can use their workloads’ characteristics and machine learning techniques to enhance resource management greatly.

The objective of the project is to build a Rideshare application with a mini Database-as-a-service (DBaaS) system using AWS EC2 instances.

Two AWS-powered projects have been developed to enhance accessibility . 'Talkify' utilizing Amazon Polly, for converting news articles into spoken audio and 'ScanVault' harnesses Amazon Textract, for data extraction.

It is a simple mini project using AWS lambda function, S3 service and API Gateway and React. This serverless application helps to detect a passport photo of a person using AWS Image Rekognition service.

A collection of hands-on AWS & DevOps mini projects designed to reinforce cloud fundamentals through real-world scenarios. Perfect for beginners looking to learn by doing with services like EC2, S3, IAM, CloudWatch, and automation tools.

These mini AWS security projects are educational and should not in anyway be deployed on production environments

My AWS with Python learning journey including notes, practice code, and mini projects.

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mini project implemented for AWS

Mini Project for course AWS Solutions Architect

Cloud Computing MIni Project host on AWS

Mini-Project : Hosting a static website on AWS

AWS Cloud portfolio with hands-on mini projects and documentation

Mini Project Using Vue.js and deployed on AWS

ezen aws_java_B class No.3 Team Mini-Project

Using localstack or AWS mini project using camel & native s3client

AWS based document management system built for cloud computing mini project

My mini project to learn building on AWS for phase 2 training

Deploy a Streamlit App on AWS EC2 - Cloud Computing Mini Project 9

mini project for aws services(DynamoDb, SQS,SNS, RDS) with testcontainers localstack

Mini-Projects Featuring Python, AWS SageMaker and XGBoost. A series of three mini-projects on IMDB Sentiment Analysis data using Python, AWS SageMaker and XGBoost for batch transform, hyperparameter tuning and updating a model.

A mini project to learn about AWS Cloudformation. Launch a VPC and an EC2 instance.

Mini-project - monitoring stock refill on e-commerce with Telegram Bot deployed on AWS Lambda

Mini Project: Deploying a Machine Learning Model on Cloud using FastAPI, Docker, and AWS Elastic Beanstalk

Hands-on mini projects for learning AWS services like IAM, S3, EC2, Lambda, and more — with real-world tasks, screenshots, and explanations.