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Translatedmall learning tutorial, with a comprehensive analysis of the architecture, business logic, and key technical points. The mall project (60k+ stars) is an e-commerce system built with currently mainstream technologies. It covers technologies such as SpringBoot, MyBatis, Elasticsearch, RabbitMQ, Redis, MongoDB, and MySQL, and uses Docker containerized deployment.

Translatedmall-swarm is a microservice e-commerce mall system that uses core technologies such as Spring Cloud Alibaba, Spring Boot 3.5, Sa-Token, MyBatis, Elasticsearch, Docker, and Kubernetes. It also provides a Vue-based admin backend so that the system can be set up quickly. On top of basic e-commerce business functions, mall-swarm integrates system functions such as a registry center, a configuration center, a monitoring center, and a gateway.

  • springcloud
  • springboot
  • docker
  • java

Full PHP development environment for Docker. Run Laravel, Symfony, CodeIgniter, Phalcon, WordPress, Drupal, Magento, Moodle, or any PHP project with 70+ pre-configured services: Nginx, Apache, PHP-FPM, MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch & more.

  • docker
  • php-container
  • php-environment
  • docker-environment

:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash

  • metricbeat
  • filebeat
  • packetbeat
  • heartbeat

Open source alternative to AWS. Elastic compute, block storage (non replicated), firewall and load balancer, managed Postgres, K8s, AI inference, and IAM services.

  • cloud
  • portable
  • bare-metal
  • hosting

🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headquarters location.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.