HI! I am Allouise Sibanda

Low Cost SmartHomes (IoT) - 2017

By: Allouise as part of BSc Computer Science Final Year Project

Raspberry pi Controller connected to Motion Sensors, IP Camera, Smoke Detector, Door Sensors, Microphone. Created a Java program and used pi4j libraries to access & control the Raspberry Pi GPIO. The program connected to a Message Quiuing service called MQQT.

The user was able to set alarms, view surroundings (via camera), get notifications from their smartphone based on events happening in the house through an App I created that published and subcribed to messages in that Queue.

Windows Domain - 2020

Created enterprise-grade Windowss Domain

Created a Virtual Lab consisting of 7 local Virtual machines : a Domain Controller running Windows Server 2019 , 2 domain joined computers (Windows 10) and 2 Azure AD joined MACs.

I have managed to mimic real world operations requests. These are some of the tasks I have achieved in the lab, Joining computers to domain and Machine Policies, User,Group & Device Policies. Powershell scripts for Azure AD, domain and user management, Azure AD join & Register Devices, Azure App Functions & Logic Apps for Automation and work flows, Intune and Endpoint Management, Enroll macOS device using Company Portal App, Deploy User Profile using Autopilot

Kinesis with Rasberry Pi - 2021

Using a combination of a raspberry pi & Kinesis to collect data from sensors or other pi devices to stream and alnalyze data in real time.

The project uses a Raspberry Pi camera in combination with Amazon Kinesis to create a real-time video streaming and analysis system. The Raspberry Pi camera is used to capture video footage, which could then be streamed to Amazon Kinesis. Once the video data is in Kinesis, it is processed and analyzed in real-time using machine learning algorithms. For example, the system could be trained to detect certain objects or activities in the video stream, such as traffic violations or suspicious behavior. The processed data could then be used to generate alerts or notifications, or it could be visualized in a dashboard to provide a real-time view of the video stream. This type of project could have many potential applications, such as providing real-time surveillance for security purposes or enabling intelligent video analytics for various industries.

Infrastructure As Code - 2022

Infrastructure From Code with Terraform & AWS CDK + CloudFormation

Created resources in AWS using Terraform & AWS CDK. Used Code Whisperer (Python) to create CloudFormation templates. Experimenting with AWS Application Composer to create Cloud Apps. Used Terraform to create the same infrasture in Azure.

The VPC will span 2 AZs, and have both public and private subnets. An internet gateway and NAT gateway will be deployed into it. Public and private route tables will be established. An application load balancer (ALB) will be installed which will load balance traffic across an auto scaling group (ASG) of Nginx web servers installed with the cloud native application frontend and API. A database instance running MongoDB will be installed in the private zone. Security groups will be created and deployed to secure all network traffic between the various components.

Created Terraform Reusable Modules for:
Storage => MongoDB instance,
Bastion => Connect to Instances in Private subnets,
Network => Create VPCs, Subnets, Application Load Balancers, Internet Gateways, NAT,
Security => IAM Roles & Security Groups,
Application => Parent module

Developing in AWS - 2022

Develop applications using AWS services that are designed to deploy, manage, secure & implement applications faster and more efficiently using the following :
1.AWS Elastic Beanstalk: Provides an easy-to-use platform for deploying and managing applications. It automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring.
2.AWS CodePipeline: Provides a continuous delivery platform that automates the build, test, and deployment of applications. It integrates with popular tools such as GitHub and Jenkins, allowing for easy incorporation to existing build and test processes.
3.AWS CodeBuild: Provides a fully managed build service that can be used to compile, test, and package application code. It supports a wide range of languages and build tools, and can be easily integrated into CI/CD workflow.
4.AWS CloudFormation: Provides a simple and flexible way to create and manage a collection of related AWS resources. Uses CloudFormation templates to define the resources and dependencies in your application, and then use the CloudFormation service to deploy and manage those resources.
5.AWS Identity and Access Management (IAM): Provides a secure way to manage access to your AWS resources. You can use IAM to create and manage users, groups, and permissions, and to control which users have access to which resources.