Docker Essentials For Cloud And Devops Professionals

[BaDshaH]

Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 17.43 GB | Duration: 29h 42m
Learn Docker from Scratch: Master Containerization, Image Building, Multi-Container Apps, Orchestration with Swarm, more

What you'll learn
Understand the concept of containerization and its role in modern application development and deployment.
Differentiate between virtualization and containerization, and identify the advantages of Docker over virtualization.
Explain the challenges of traditional deployment methods and how Docker addresses these issues.
Learn what is Docker and how it works.
Learn the core features and benefits of Docker for creating, deploying, and managing containers.
Successfully install, start, stop, and uninstall Docker on various platforms.
Understand Docker's architecture, including the Docker Client, Docker Engine, and ECS (Elastic Container Service).
Learn how to create and manage Docker images using Dockerfiles, including building, tagging, and generating images.
Gain hands-on experience with key Docker commands such as docker ps, docker images, docker pull, docker push, and more.
Explore the Docker Hub, including creating an account, pulling images, and publishing your own Docker images.
Write effective Dockerfiles using key instructions like FROM, COPY, RUN, CMD, and ENTRYPOINT.
Understand the layered structure and internals of Docker images, including how the image build process works.
Learn to create, run, and manage Docker containers, including handling container lifecycles and dependencies.
Understand and implement Docker Volumes for managing persistent storage, including creating, listing, and removing volumes.
Master Docker Compose to define and run multi-container applications, including validating and scaling containers.
Gain knowledge of Docker Swarm for container orchestration, including setting up node managers, creating worker nodes, and scaling services.
Understand container isolation and how to run containers in different modes, such as interactive shell and bash mode.
Learn best practices for using Docker to improve application scalability, maintainability, and portability.
Explore the internals of Docker container networking and orchestration tools to manage complex deployments.

Requirements
Enthusiasm and determination to make your mark on the world!

Description
A warm welcome to the Docker Essentials for Cloud and DevOps Professionals course by Uplatz.Docker is an open-source platform that enables developers to build, ship, and run applications inside lightweight, portable containers. Containers package an application and its dependencies together, ensuring consistency across development, testing, and production environments. Docker eliminates the "it works on my machine" problem by providing a consistent runtime environment.Docker is widely used for microservices architectures, DevOps workflows, and simplifying deployment processes across environments.How Docker WorksContainerizationDocker uses containerization technology to isolate applications from the underlying system. Containers share the host operating system kernel, making them more lightweight and efficient than traditional virtual machines.Docker ArchitectureDocker Engine: The core runtime responsible for creating and managing containers.Docker Client: A command-line interface (CLI) that interacts with the Docker Engine.Docker Images: Pre-configured application blueprints used to create containers.Docker Hub: A cloud-based registry for storing and sharing Docker images.WorkflowDevelopers write a Dockerfile containing instructions to build an image.The image is created using the docker build command.The image is then used to launch containers using the docker run command.OrchestrationTools like Docker Compose and Docker Swarm allow users to manage multi-container applications and scale them efficiently.Core Features of DockerContainerization: Run applications in isolated environments to ensure consistency across platforms.Portability: Docker containers can run on any system that supports Docker, whether on-premises or in the cloud.Lightweight: Containers share the host OS kernel, using fewer resources compared to virtual machines.Scalability: Easily scale applications horizontally by creating multiple container instances.Docker Hub: Provides a central repository for discovering, pulling, and sharing container images.Versioning: Allows version control for images, enabling rollbacks to previous builds.Security: Provides container isolation to minimize application vulnerabilities.Efficiency: Enables faster application development and deployment through CI/CD pipelines.Automation: Supports tools like Docker Compose for defining and managing multi-container applications.Orchestration Support: Includes built-in orchestration with Docker Swarm and compatibility with Kubernetes.Docker Essentials for Cloud and DevOps Professionals - Course Curriculum1. IntroductionMicrosystem & ContainerizationChallenges with DeploymentsWhat is VirtualizationProblems with VirtualizationContainerization IntroductionWhat is DockerDocker FeaturesApplying the Solution with Docker2. Docker InstallationInstall DockerStart Docker ServiceStop DockerUninstall DockerECS Introduction3. Docker ArchitectureDocker ClientDocker Engine4. DockerfileWriting Docker FileCreating Docker FileVisual Source Code IDEUnderstanding the Instructions Used in Docker File:FROMMAINTAINERCOPYADDRUNCMDENTRYPOINTVOLUME5. Docker ImagesUnderstanding the Base ImageImage Layered StructureInternals of Docker ImageBuild Process of Docker ImagesTagging the ImagesImage Generation with Docker CommitRun, Inspect, Remove, and Prune Images6. Docker HubDocker Hub Account Creation7. Docker Commandsdocker versiondocker infodocker helpdocker imagesdocker pulldocker rmidocker psdocker logindocker pushdocker rm8. Docker ContainersRunning Docker Containers from ImagesListing Running ContainersContainer LifecycleStart, Stop, and Restart ContainersRemoving the ContainersContainer with Dependencies (Multi Containers)Starting Containers in ShellRunning Containers in Bash Mode Using IT FlagContainer Isolation9. Docker VolumeAdvantagesBind MountsVolumes Over Bind MountsCreating VolumesList All VolumesRun Container on VolumesRemove Volumes10. Docker ComposeInstallationDocker Compose FileCheck the Validity of the FileRun Docker ComposeStop DockerScale the Containers11. Docker SwarmContainer OrchestrationFeatures of Docker SwarmDocker Swarm Node ManagerCreate Worker NodesRun Containers on SwarmScaling the ServicesBenefits of Learning DockerImproved Development EfficiencySpeeds up development by creating consistent environments across systems.Eliminates "works on my machine" issues through standardized containers.Enhanced Deployment ProcessesSimplifies the deployment of applications on various platforms.Facilitates continuous integration and continuous delivery (CI/CD) pipelines.PortabilityDocker containers can run on any platform, including on-premises systems, public clouds, and private clouds.Cost-EffectivenessReduces infrastructure costs by maximizing resource utilization compared to virtual machines.ScalabilityMakes scaling applications horizontally simple by using container orchestration tools like Docker Swarm or Kubernetes.Skill RelevanceKnowledge of Docker is in high demand as organizations adopt containerization and cloud-native architectures.Simplified CollaborationTeams can collaborate more effectively by sharing pre-configured Docker images.Foundation for Advanced TechnologiesProvides a foundation for learning related technologies like Kubernetes, Helm, and microservices architecture.Career Scope of DockerLearning Docker not only boosts your employability but also keeps you at the forefront of technology trends in the modern software ecosystem.High Demand in the Job MarketCompanies across industries are adopting containerization to streamline development and operations.Docker skills are essential for roles in DevOps, cloud computing, and modern software development.Job Roles Requiring Docker SkillsDevOps EngineerCloud EngineerSite Reliability Engineer (SRE)Software DeveloperPlatform EngineerInfrastructure EngineerBuild and Release EngineerOpportunities in Microservices and CloudDocker is a cornerstone of microservices architecture and is widely used in cloud-native application development.Integration with Other TechnologiesDocker skills complement tools and platforms like Kubernetes, Jenkins, Terraform, and AWS/GCP/Azure services.Freelance and Consulting OpportunitiesMany organizations need consultants to set up Dockerized workflows or migrate legacy systems to containers.Higher SalariesProfessionals with Docker expertise often command higher salaries due to the demand for containerization skills.Career GrowthMastery of Docker can lead to advanced career paths, including:Cloud ArchitectDevOps ManagerSolutions ArchitectTechnical Lead for Cloud-Native Applications

Overview
Section 1: Introduction to Docker
Lecture 1 Introduction to Docker
Section 2: Docker Engine and Installation on Amazon EC2
Lecture 2 Docker Engine and Installation on Amazon EC2
Section 3: Docker Image overview
Lecture 3 Docker Image overview
Section 4: Docker File overview
Lecture 4 Docker File overview
Section 5: Docker Hub and Docker Registry overview
Lecture 5 Docker Hub and Docker Registry overview
Section 6: Docker Container Lifecycle overview
Lecture 6 Docker Container Lifecycle overview
Section 7: Docker Storage and Docker Volumes overview
Lecture 7 Docker Storage and Docker Volumes overview
Section 8: Docker Network overview
Lecture 8 Docker Network overview
Section 9: Docker Compose overview
Lecture 9 Docker Compose overview
Section 10: YAML in Docker
Lecture 10 YAML in Docker
Section 11: Persistent Data in Docker
Lecture 11 Persistent Data in Docker
Section 12: Docker Swarm
Lecture 12 Docker Swarm and Definition
Lecture 13 Docker Swarm Installation
Lecture 14 Docker Swarm Configuration and Management
Lecture 15 Stack Deployment in Docker Swarm
Lecture 16 Docker Swarm Cluster Maintenance
Section 13: Docker Image on ECR
Lecture 17 Docker Image on ECR
Section 14: Container Services in AWS Docker
Lecture 18 Container Services in AWS Docker
Section 15: Docker Monitoring
Lecture 19 Docker Monitoring - part 1
Lecture 20 Docker Monitoring - part 2
Section 16: Prometheus and Grafana
Lecture 21 Prometheus and Grafana overview
Lecture 22 Installation and Configuration of Prometheus and Grafana
Section 17: Container Orchestration Service
Lecture 23 Container Orchestration Service
Section 18: Docker Security Best Practices
Lecture 24 Docker Security Best Practices
Section 19: Docker Swarm Architecture
Lecture 25 Docker Swarm Architecture
Section 20: Load Balancer in Docker
Lecture 26 Load Balancer in Docker
Section 21: CI/CD Pipeline with Docker
Lecture 27 CI/CD Pipeline with Docker
Section 22: How to set Docker Environment Variables
Lecture 28 How to set Docker Environment Variables
Section 23: Autoscaling in Docker
Lecture 29 Autoscaling in Docker
Section 24: Jenkins with Docker
Lecture 30 Jenkins with Docker
Section 25: Docker Orchestration
Lecture 31 Docker Orchestration
Section 26: Docker Troubleshooting
Lecture 32 Docker Troubleshooting
Section 27: Docker Volume and Network Troubleshooting
Lecture 33 Docker Volume and Network Troubleshooting
Section 28: Docker Interview Questions and Answers
Lecture 34 Docker Interview Questions and Answers - Basics
Lecture 35 Docker Interview Questions and Answers - Advanced
Lecture 36 Docker Interview Questions and Answers - Monitoring

Software Developers looking to streamline their development and deployment workflows with containerization.,DevOps Engineers aiming to enhance automation, scalability, and efficiency in software delivery pipelines.,System Administrators transitioning to container-based infrastructure management.,Anyone Curious About Docker or wanting to improve their technical skill set for personal or professional growth.,Students and Beginners aspiring to enter the DevOps, cloud, or software development domains.,Cloud Engineers interested in deploying and managing containerized applications in cloud environments.,Data Engineers and Data Scientists leveraging containers for reproducibility in data processing and machine learning workflows.,IT Professionals seeking to modernize their skill set and adopt containerization technologies.,Project Managers or Technical Leads wanting to understand Docker for better team collaboration and technical decision-making.,Entrepreneurs and Startup Founders exploring cost-effective ways to manage applications and infrastructure.

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