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Explore microservices CI/CD on GKE, mastering containerization, Kubernetes orchestration using Docker, GCP tools (Source Repository, Cloud Build, GKE), and Terraform. This repository serves as a hands-on resource for learning RESTful APIs, navigating GKE clusters with persistent volumes, offering practical insights for modern deployment.
An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.
Build an end to end pipeline for Named Entity Recognition (NER) by a pretrained Huggingface transformer, BERT and deploy to google cloud platform using Docker, CI/CD tool: CircleCI.
This project automates 🚀 the deployment process using GitHub Actions for CI/CD. The Docker image 🐳 is built and pushed to Google Artifact Registry (GAR), from where it's deployed to Cloud Run ☁️.
Kubernetes manifests to deploy a flask application with nginx reverse proxy, redis cache and mysql database on Google Kubernetes Engine ensuring high availability and scalablility
Repository explaining the deployment of a sample FastAPI application to Google Cloud Platform. It explains the transition from a local application until deployed into Cloud Run using Cloud Build and Artifact Registry. This is merely educational and I do it for fun.
The goal of this project is to build a salary prediction model, encapsulate it in a Docker container, and set up a continuous integration and deployment (CI/CD) pipeline using Google Cloud Build and Google Cloud Deploy. This setup ensures that the model is automatically built, tested, and deployed to a Kubernetes cluster whenever changes are made.
This repository contains a simple example application built with Flask and deployed using Docker on Google Kubernetes Engine (GKE) in Google Cloud Platform (GCP). The deployment process is automated using Cloud Build and Cloud Build Triggers.