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Docker Training

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About DOCKER Training

Docker training explains how to build images. Also it is used to create Containers which run on any machine. Hence the containers are portable almost across any environment like development or testing or production or cloud. Certainly we use Docker Compose tool to run multi containers. Furthermore the Swarm provides cluster to run multiple containers in different nodes. First of all we can install Dockers on Windows, Mac and also Linux Operating systems. Above all machine tool is provided to create new docker machines.

What Will You Learn?

  • Container vs Virtual Machines
  • Installation
  • Dockerfile
  • Images and Containers
  • Client and Engine
  • Docker Machine
  • Hub and Registry
  • Docker Compose and Swarm
  • Docker with AWS
  • Kitematics
  • Applications
  • Real-time project

Pre-Requisites

  • Core Java
  • JDBC
  • Linux Commands (optional)
Course Information
Hours 18 hours
Duration 2 dyas [Saturday & Sunday]
Slot 9:00AM-6:30PM
Mode Classroom Training
Join Hyd | Bglr | Pune
Demo 2 Hours after Registration
Downloads Materials, Workspace, Applications etc
Re-Attend One time in online Training

=========Course Curriculum=========

INTRODUCTION
  • Container vs VM
  • Installation
  • Docker Terminal
DOCKER ECOSYSTEM
  • Docker Client
  • Docker Engine
  • Docker Machine
  • Docker Hub
  • Docker Registry
  • Docker Store
  • Docker Compose
  • Docker Swarm
BUILDING IMAGES
  • Dockerfile
  • FROM
  • LABEL
  • RUN
  • COPY vs ADD
  • WORKDIR
  • EXPOSE
  • CMD vs ENTRYPOINT
  • ENV
  • Build & Inspect Images
MANAGING CONTAINERS
  • Create & Run Container
  • Start & Stop Containers
  • Prune & Rm Container
  • Expose Ports
  • Container Logs
  • Inspect containers
  • Interact with Container
APPLICATIONS
  • HelloDocker
  • JdbcDocker
  • JspDocker
  • HibernateDocker
  • SpringDocker
  • MicroservicesDocker
DOCKER HUB
  • Push Images
  • Pull Images
  • Docker Registry
DOCKER COMPOSE
  • Compose Files
  • Microservices Case Study using Compose
DOCKER SWARM
  • Creating Cluster
  • Nodes
  • Stack & Services
  • Load Balancing
  • Microservices Case Study using Cluster
DOCKER WITH AWS
  • EC2 Instances
  • Inbound & Outbound Configuration
  • AWS Oracle DB
  • Microservices Case Study in AWS
KITEMATICS

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