I’m a DevOps and Cloud Engineer experienced in Google Cloud Platform (GCP), AWS, Azure Cloud, Azure DevOps ☁️💻.
I automate the provisioning of resources on the Cloud using Infrastructure as Code (IaC) with Terraform 🤖. I speed up the deployment of applications using CI/CD pipelines with GitHub Actions and Azure DevOps ⚙️.
I inform teams concerning potential issues in applications before they reach the customers via monitoring and alerting strategies using Prometheus, Grafana, and Loki 📊.
I follow security practices in the deployment of applications by adhering to OWASP Top 10, and securing application credentials using tools like Infisical, Azure Key Vaults, etc 🔐
I also ensure applications can handle high traffic and thousands of users with no problems by deploying into Docker containers and managing them on Kubernetes 🐋🕸️
I also scale applications/infrastructure across multiple regions/availability zones during traffic surges and creating load balancers to evenly distribute traffic across each service.
✅I eliminated the manual creation of resources on Azure Cloud for a Fintech platform by automating resource creation with Terraform.
I automated and sped up the deployment of each microservice application on Azure Function Apps, seeding and migration of the SQL databases using Azure DevOps CI/CD pipelines
Here's a case study explaining what I did in detail and it's result - https://drive.google.com/file/d/1TD-ZP3M9aRIKnO-x2f_tG77EVW6US3FH/view?usp=sharing
✅I deployed a startup that scaled to over 23,000+ active users within months.
I reduced Cloud costs from $900/month to $50/month by migrating the platform to DigitalOcean VM instance, deploying their applications on the VM using Coolify web server, configuring the DNS, reverse proxy and networking.
I set up custom Grafana dashboards to monitor app performance. Metrics were retrieved from Prometheus, and I created alert rules and notification channels to notify the team when potential issues were discovered.
Here's the case study - https://drive.google.com/file/d/1Z5pysnLeY3JpIZ6MPlS-mAKgA2EfrXr4/view?usp=drive_link
✅I managed a complex microservice platform by deploying into Docker containers on Google Kubernetes Engine.
I reduced the need to manually redeploy updates on the cluster by creating CI/CD pipelines to auto-redeploy application updates by publishing the apps into Docker containers re-deploying them on the Kubernetes Cluster using GitHub Actions CI/CD pipelines.
Here's the case study - https://prince-onuk.vercel.app/achievements?achievement=gc
✅I ensured a crowd-funding platform could handle traffic surges easily by implementing auto-scaling and load balancing using Google Cloud Managed Instance Groups
I reduced the need to manually create the resources on the Cloud and redeploy the applications by using GitHub Actions CI/CD pipelines and Terraform to automate the creation of the resources.
Here's the case study - https://drive.google.com/file/d/18Kznai48jvzoiP1hTi6scqvtF9Wm-PfX/view?usp=drivesdk