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Schedule Interview NowMy name is Abdullahi B. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: DevOps, Kubernetes, Docker, AWS CodeDeploy, Azure DevOps, etc.. I hold a degree in Bachelor of Engineering (BEng), . Some of the notable projects I've worked on include: Monitoring: Setup Prometheus, Grafana & Node Exporter on an Azure VM, Scalable CI/CD Pipeline for a Microservices-Based E-Commerce Platform, ChatGPT Clone App, AWS CI/CD DEPLOYMENT, Azure DevOps CI/CD DEPLOYMENT, etc.. I am based in Waterloo, Canada. I've successfully completed 9 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
Main technologies
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Bifrost Cloud
This project focuses on setting up a full-stack monitoring and alerting system using Prometheus, Node Exporter, Grafana, and Alertmanager on an Azure Virtual Machine (VM). The goal is to collect syste
Using Azure DevOps for CI/CD Deployment of a Microservices application to an AKS Cluster, Using ArgoCD as GitOps for Cluster Management
Using a DevSecOps approach to deploy a Chat GPT clone app on an EKS Cluster. Pull the code from a Github Repository to your local machine, use Terraform to deploy the infrastructure - S3 for backend,
using AWS DevOps tools - CodePipeline, CodeCommit, CodeBuild, CodeDeploy to deploy a simple webpage to an EC2 Instance
Using Azure DevOps - Azure Pipelines, Azure Repos, and Azure Artifacts to automate the continuous integration and continuous deployment of a Web Application to an Azure Virtual Machine This Project r
Bachelor of Engineering (BEng) in
2015-01-01-2021-01-01
in Computer engineering