Hands On Auto Scaling FastAPI with Kubernetes
Hi! Today we will learn how to do auto-scaling with Kubernetes. We will use a FastAPI application as an example.
Welcome to My Blog
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Hands-on FastAPI Simple Deployment with Kubernetes
Hi! back to my blog, today i will show you how to deploy a simple FastAPI that already pushed to Docker Hub and run it on Kubernetes. So let's get started!
Hands-On Gitlab CI/CD
Hi there! Today, I will demonstrate a hands-on implementation of GitLab CI/CD. This might be a bit overkill as I will also install a GitLab server. First, i will to install self-hosted gitlab server. Second, i will create simple fastapi-app and that deployed instance here. All instances will be deployed on GCP and will be managed using Terraform. Last, i will create CI/CD pipeline to deploy fastapi-app to GCP using gitlab ci/cd.
Hands-on with Jenkins
Hi!
Today i will hands-on jenkins from installation using terraform to implementation create one job. I will show how to install Jenkins on GCP using Terraform and create a simple job. This post is part of my DevOps learning journey. I will share my experience and knowledge about DevOps tools and practices. 
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Hands-On Terraform
Hi! I will hands on Terraform to create a VM on GCP or multiple VM instances. This is a simple project to get started with Terraform.
For more details code: terraform-tutorial
Hands-On Setup NginX with Ansible
I will do hands-on Ansible with this project.
Optimizing Satellite Maps: Efficiently Rendering 700K++ Object Polygons and Their Attributes
Introduction
As an AI Engineer, I worked on object instance segmentation for satellite imagery and generating 700,000 polygons stored in PostgreSQL with PostGIS. The final challenge came when our team was tasked with building a simple website to display these 700K polygons, complete with details like names and areas, based on six months of data collected by the Computer Vision model we’d been using.
Task 12: Hands-On Monitoring & Alerting with Node Exporter, Prometheus, and Grafana Dashboards
In this guide, we’ll explore how to monitor cpu and memory usage on a server using Node Exporter as exposer, prometheus as collector, and Grafana as visualizer/Dashboard. At the end, we will create an alert based on usage.
Task 7: Docker Compose with To Do App
In this section, we will learn how to use Docker Compose to manage multi-container applications (frontend, backend, database).
Task 11: Monitoring Server Memory Usage with Prometheus Node Exporter
In this guide, we’ll explore how to monitor memory usage on a server using Prometheus and Node Exporter.