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google-kubernetes-engine

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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.

  • Updated Jan 16, 2024
  • Python

Airport security system simulation based on microservices, utilizing Object Detection via Google Vision API to detect suspicious human faces detected on security footage. The microservices are (Docker-) containerized RESTful services which are able to communicate with each other over HTTP requests within an internal network.

  • Updated Apr 28, 2022
  • Python

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.

  • Updated Mar 4, 2024
  • Python

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