Learn how to setup an efficient and consistent local environment for
DevOps, Platform or Cloud Engineering workstation, using
Dev Containers in VSCode. Learn from setting up Dev Containers, installing AWS CLI & CDK, installing Terraform & Kubectl to testing AWS & Terraform, etc.
Docker has become a widely-used containerization platform, streamlining the process of developing and deploying applications. In this post, we’ll cover basics Docker, Dockerfile, Docker Engine and CLI.
In this concise tutorial, discover how to use
Docker's Multi-Stage Build process to create production-ready Docker images. Follow our step-by-step guide to writing a multi-stage
Dockerfile for a web application and elevate your Docker skills.
A guide for creating a new
Ruby on Rails application using
Docker, without installing Ruby or Rails directly on your OS. It also addresses specific requirements such as using a specific version of MySQL and needing an isolated environment. Dockerizing an existing Rails app is not difficult, creating a new project without a specific version of Ruby or installed Rails can be challenging. This guide will help you out!
In this concise tutorial, discover how to use Docker’s Multi-Stage Build process to create production-ready Docker images. Follow our step-by-step guide to writing a multi-stage Dockerfile for a web application and elevate your Docker skills.
Learn how to deploy
Docker containers on
Amazon ECS with AWS
Fargate using AWS
CloudFormation. You’ll learn to create Elastic Container Registry, VPC, subnets, load balancers, CloudWatch, ECS cluster, container tasks, and services to make your deployment scalable and efficient.
Learn how to set up multiple versions of MySQL and Postgres databases using Docker Compose for your development environment. This tutorial will also cover various methods of connecting to the databases running in Docker containers.
Learn how to deploy a dockerized API application on AWS with CloudFormation YAML template and Docker Compose. Define an application stack with AWS EC2 and RDS instances, create the stack with AWS CLI, and deploy the API application as a container for consistent performance and simplified deployment.