
Discover how Docker containers and images streamline development, deployment, and scaling. Master Docker commands, Dockerfile basics, and Docker Compose for interview prep.
Docker packages software as containers to deliver consistent environments from development to production, enabling containerized microservices, onboarding for new developers, legacy app migration, and ml deployment.
Learn how Docker uses a client-server architecture with a Docker daemon, a Docker host, and a registry to pull images and run containers.
Compare virtual machines and containers, explaining how VMs use separate guest operating systems with a hypervisor, while containers share the host OS kernel for lightweight, fast applications.
Install docker on Linux by selecting your distro, installing docker engine, adding the official GPG key, verifying fingerprint, and confirming the docker daemon runs.
Download the Docker Desktop for Mac dmg from Docker Hub, install it, and grant privileged access. Verify with docker --version to confirm Docker is up and running.
Get an essential overview of Docker fundamentals, including Docker Engine, Docker daemon, Docker client, the Docker network, containers, images, and data volumes, to prepare for hands-on practice and interviews.
Understand the Docker engine as a client-server system with a daemon, a rest api bridge, and a cli that manages images, containers, networks, and volumes.
Explore docker images as read-only templates for containers, including how images build from a base image, intermediate layers, and caching to optimize disk usage, with docker images commands and options.
Learn how Docker containers are runnable instances of images, and manage them with commands like run, stop, attach, and logs, while understanding container versus image.
Explore how Docker stores data, from the writable container layer to persistent volumes, bind mounts, and tmpfs. Learn when to use each approach for sharing data, persistence, and performance.
Explore Docker networking drivers and their use cases, including bridge, host, overlay, and macvlan. Learn about swarm services, third-party plugins, and Kubernetes context.
Explore the overview of Docker commands, from images and logs to volumes and run, highlighting key commands like attach, build, copy, and stop.
Discover how a Dockerfile serves as a text document that contains commands to build images, and how docker build uses that file to create custom images.
Master Docker Compose to define and run multi-container applications using YAML, configure services, ports, volumes, and networks, and deploy with confidence.
Run your first Docker container with the Hello World image, and learn how the daemon pulls it from Docker Hub, then list containers and images.
Learn how to run an Ubuntu container with Docker, use interactive options -i and -t, detach without stopping, and reattach using Docker attach.
Learn to manage containers with docker start, stop, attach, kill, and logs, and automate cleanup using docker ps -aq with docker rm.
Manage docker images by listing and removing them with docker images and docker rmi, including force and no prune options, and learn how images are pulled and pushed to registries.
Learn to run an nginx container from the nginx image with docker run, using -d for background and -p for port mapping.
Learn to run an nginx container in the background with port publishing and a bind mount, mapping a host directory to /usr/share/nginx/html to serve custom pages.
Learn the Dockerfile basics, including from and run instructions, building and tagging custom images, and the practical differences between CMD and ENTRYPOINT for running containers.
Learn practical Dockerfile techniques, including using add and copy to place files, setting a workdir, and building and running images to verify file placement inside the container.
Learn how Docker Compose defines and runs multi-container applications with a YAML configuration. Automate development and testing workflows with isolated environments on a single host and preserved volume data.
Explore yaml syntax for docker compose, including version, services, and volumes. Learn how indentation and dashes organize lists and key-value pairs for readable, beginner-friendly configuration.
Build a simple Python Flask application and run it in Docker containers using a Dockerfile and Docker Compose, including creating app files and a requirements.txt.
Create a Dockerfile to build a Python app image, copy requirements, install dependencies, set Flask environment variables, expose port 5000, and run the app with flask run.
Create a docker-compose.yml to define a versioned docker environment with services, including a web service built from a Dockerfile and a second alpine-based container, exposing port 5000.
Run the full infrastructure with a single Docker Compose up command, examine images and containers, and review environment settings, port mappings, and Flask deployment via the provided compose file.
Map the host code into the container with Docker Compose bind mounts to update the code file without rebuilding images, and run the app to see hello world version two.
Learn to use Docker Compose up and down to manage containers, run commands in a specific service, and inspect environment variables in the web service.
Explore how Docker containers bundle apps and dependencies and run isolated on any platform. Learn about Docker images, doka file, Docker Compose, namespaces, and client, host, registry, and Docker Hub.
Explore docker save and load for exporting and importing images, check docker version, and compare virtualization and containerization while understanding docker volumes.
Learn docker interview essentials, including docker compose up in attached and detached modes, testing services with docker run and start, and managing containers and logs.
Learn how Docker Compose uses JSON or YAML to run multiple environments with environment-specific files, manage multiple containers, and set startup order with depends_on in Docker Compose up.
DevOps is a combination of software development and information technology operations that enables businesses to deliver applications at a faster pace. It brings together development and operations teams so there are fewer redundancies in the software development process
DevSecOps is a culture shift in the software industry that aims to bake security into the rapid-release cycles that are typical of modern application development and deployment
DevOps has revolutionized workplaces in many ways. The number of DevOps-related jobs are increasing, while its rank as an in-demand job
DevOps is important because it's a software development and operations approach that enables faster development of new products and easier maintenance of existing deployments
What is containerization?
Containerization is the packaging of software code with just the operating system (OS) libraries and dependencies required to run the code to create a single lightweight executable—called a container—that runs consistently on any infrastructure. More portable and resource-efficient than virtual machines (VMs), containers have become the de facto compute units of modern cloud-native applications
What is Docker ?
Docker is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers. Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels