cloud-devops

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Uncode is a conceptual IDE designed for the cloud development, also a cloud-native low-code software development enviorment. Uncode 是一个面向云研发时代设计的下一代概念性 IDE。

A stateless CI/CD pipeline with Slack‑driven deployment approvals and automated rollbacks. Built using GitHub Actions, AWS Lambda and API Gateway for a fully auditable, production‑ready DevOps workflow.

Portfolio of Udacity Cloud DevOps Engineer Nanodegree projects covering AWS infrastructure, CI/CD pipelines, Docker, Kubernetes, and highly available web and ML microservice deployments.

Operationalize a Machine Learning Microservice API

Cloud DevOps C3 Refresh Project Starter - Build CI/CD Pipelines, Monitoring & Logging - Spring 2020

This project deploys a Kubernetes cluster on AWS using EKS and Terraform.

Deploy a High-Availability Web App using CloudFormation

Azure Linux VM with automated Nginx deployment using cloud-init

This project deploys a serverless application using AWS CDK with TypeScript, including API Gateway, Lambda, and DynamoDB.

End-to-end Jenkins CI/CD implementation on AWS EC2 covering Jenkins installation, Docker agent configuration, plugin setup, and pipeline-ready infrastructure for real-world DevOps workflows.

MLOps End-to-End Vehicle Insurance Project is a production-style machine learning pipeline for vehicle insurance data, covering data ingestion, validation, transformation, model training, evaluation, deployment, and CI/CD using MongoDB, AWS, Docker, and GitHub Actions.

Explain AWS cost drivers and review opportunities. CUR-style ingestion, anomaly detection, allocation gaps. Tests, demo evidence and learning guide.

Documentation Site

Global Package Tracking

Understand autoscaling under measured load. Kubernetes deployment, HPA, probes. Tests, demo evidence and learning guide.

Supporting material and projects for a course on Cloud DevOps: Microservices.

Ship a health-checked service through CI. Container build, non-root app, CI tests. Tests, demo evidence and learning guide.

Measure local recovery under service failure. Two real local HTTP processes, Client-side fallback after primary termination, Measured restart-to-ready evidence and cleanup. Tests, demo evidence and learning guide.

Secure local-first multi-modal medical assistant that converts 3D spatial telemetry and clinical conversations on the edge into anonymized vector code to reveal overlooked diagnostic insights.