A Review on AWS for automotive solutions

Information Science and Engineering

The study is based on a controlled experiment in which a prototype system was created to assess several edge technology applications. The system comprises of an accelerometer that is attached to a car and a machine learning algorithm that attempts to anticipate the type of road surface the car is travelling on using the accelerometer's data.The amount of businesses moving their operations from traditional computing to cloud computing as internet usage rises, and as a result, the number of users on the cloud is growing, along with the load.This thesis aims to construct an automated pipeline that generates immutable images for Amazon. This was done for a SaaS firm that wanted to use Packer to move a system from a datacenter to the cloud.The International Hellenic University's Msc in Cybersecurity programme required the completion of this dissertation. In recent years, an increasing number of businesses have moved their data and services to the cloud. Because of this, a lot of hostile actors have started to target cloud resources and infrastructure. In this dissertation, we will look at how Suricata Intrusion Detection Software may be used in conjunction with Amazon Web Services capabilities like Traffic Mirroring, VPC, Load Balancing, and Auto-scaling to construct scalable and effective monitoring solutions in terms of security and resource usage.The main 3 commercial cloud services, AWS, Azure, and GCP, are compared in depth here to assist enterprise organisations in selecting the best cloud computing platform.According to Amazon Web Services (AWS), "Containers provide a standard approach to bundle the code, settings, and dependencies of an application into a single object. They are portable, lightweight, and offer an uniform software environment that makes it simple for applications to function and scale anywhere.

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