Cloud Enabled SG

AWS DevOps Training Singapore

4.3
4/5
Price :
2000 SGD
Category :
Management
Consultant 1
Anil Bidari

Chief Consultant

Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
Devops Cloud
OVERVIEW :

Course Outline

Module 1: Devops Big Picture  ( Theory)

  • What and why of Devops
  • Devops Tools – Overview and Usecase
  • Source Control Management (SCM Tools)
  • Continuous Integration
  • Static code Analysis Tool
  • Storage Artifacts
  • Continuous Deployment
  • Containerization
  • Configuration Management

Module 2: Devops in Action ( Hands on Lab by students)

SCM Live demo ( before DevOps scenario)

  • Github or Bitbucket – Create an account and fork your application code
  • Git clone the github or bitbucket code , Use maven to compile and package java source code
  • Deploy .ja file manually

Continuous Integration Tool – ( Hands on Lab by students)

  • Jenkins – Deploy Jenkins on Ubuntu 18.04 server ( each student will deploy his Jenkins server)
  • Continuous Integration setup – Jenkins Github /Bitbucket

Code Packaging automation – ( Hands on Lab by students)

  • Automation Maven test, Compile and Package ( .jar) using Jenkins

Static Code Analysis – ( Hands on Lab by students)

  • Understand sonarqube ( deployed by student )
  • Students to Integrate Jenkins (CI) server with Sonarqube ( lab by students)
  • Sonarqube –static code analysis and set quality gates

Storage Artifact – ( Hands on Lab by students)

  • Understand Nexus Repo ( deployed by student)
  • Nexus storage artifact integration with Jenkins
  • Store your end software products in Nexus
  • Continuous Deployment – ( Hands on Lab by students)
  • Add slave nodes to Jenkins
  • Automate deployment of your .jar or .war file to deployment server
  • Building Pipeline scripts and stages in SDLC

Module 3:  AWS DevOps tools Introduction ( concepts)

  • AWS DevOps Tool chain introduction
  • AWS Code Commit
  • AWS Code Build
  • AWS Code Deploy
  • AWS Code Pipeline
  • AWS Code Star
  • AWS X-Ray
  • AWS Beanstalk
  • AWS Opsworks
  • AWS cloud Formation

Module 4 :  AWS DevOps  Pipeline setup  ( Handson lab by students)

  • Create a repository on Code commit and configure Git cli to interact
  • Use code build and connect to Code commit to create a application package
  • Use code deploy to deploy the application
  • Setup a code Pipeline which uses code commit, code build and beanstalk for deploying app
  • Deploy sample on beanstalk and tracing using X-ray service

Module 5 :  AWS DevOps  Other tools  ( Handson lab by students)

  • Cloudformation : Create a VPC with single subnet and a vm in the subnet
  • Opworks – Register a ec2 instance under opswork stack, apply cookbook which will install apche2, start service and push html files to the instance
  • Terraform with aws : Create a vpc, a subnet and launch vm in the subnet using terraform code

Let's Enroll Our Course !!

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