CKAN docker images, docker-compose and examples
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Updated
Aug 17, 2026 - Python
CKAN docker images, docker-compose and examples
Express + Typescript + JSON
A SpringBoot app that resizes images and saves them to AWS S3
Example project demonstrating how to stream LLM tokens reliably using Spring AI, WebFlux, and NDJSON instead of SSE. Includes backpressure handling, error recovery, and a Vaadin client consuming the NDJSON stream.
This repository contains the code to show you how do you leverage docker for containerizing angular applications.
Production-ready Dockerized MERN social media application with Nginx reverse proxy, Docker Compose, MongoDB Atlas, health checks, and multi-stage builds.
Multi Stage docker build example
Production-grade CI/CD with Blue-Green Kubernetes deployments for zero-downtime releases. Per-service pipelines with multi-stage Docker builds, Trivy security scanning, Helm charts, and Slack alerting.
Source code and terminal log related to the short course - https://devteds.com/multi-stage-docker-build
This is a very simple example of the use of multi stage docker build that improves the docker's image size.
A lightning talk about how to reduce Docker images
Containerized inventory platform with a production-grade, security-first architecture. Multi-tier Docker isolation, immutable ledger pattern, 90% build artifact reduction, and a full Kubernetes migration (11 manifests, property-based manifest validation, zero plaintext credentials) targeting k3d locally and k3s on OCI.
This repository contains a Go web application deployed on Amazon EKS using Kubernetes and Argo CD. It demonstrates a CI/CD pipeline with GitHub Actions for automated build and deployment.
Go project with Gin framework
GitHub Actions CI/CD: auto-bump Maven version, multi-stage Docker build, push to Docker Hub, SSH-deploy to EC2.
Using Cypress to do component testing of basic React components (created via create-react-app, and deployed on Heroku via Terraform).
🕸️ A multi-stage Docker app that scrapes any URL using Node.js + Puppeteer and serves the data via a lightweight Flask API. Combines the power of browser automation and Python web serving in a clean, efficient container.
This is an demonstration project for docker multi build concept
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