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AWS DevOps Training in India
4.3
4.3/5
Price :
₹1,51,911
Category :
Management
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.
- Time Duration : 28 Hours - 4 Days
- Study Lecture : 20 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW : DevOps Training in India
COURSE DESCRIPTION
COURSE SUMMARY
COURSE OBJECTIVE
COURSE DESCRIPTION
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COURSE SUMMARY
This course is designed for people who are new to DevOps and take them to intermediate knowledge . It cover foundation of DevOps concepts, tools and use cases. Help you to setup CI/CD pipeline which has tool chain of Github, Sonarqqube, Nexus , maven and Jenkins slave node. In addition setup AWS devops pipeline using AWS Code Commit, Code Build , Code deploy, Code Pipeline, aws beanstalk.
COURSE OBJECTIVE
The AWS DevOps Training course aims to empower participants with the essential skills and expertise required to implement and manage DevOps practices using Amazon Web Services (AWS). This comprehensive training program focuses on teaching learners how to leverage AWS services and tools to streamline software development processes, enhance collaboration, and accelerate time-to-market. Participants will gain proficiency in deploying applications on AWS, configuring automated build and deployment pipelines, implementing infrastructure as code using AWS CloudFormation, and monitoring and troubleshooting applications in production environments. By the end of this training, attendees will be equipped with the knowledge to effectively utilize AWS services and DevOps methodologies to achieve continuous integration, delivery, and deployment goals.
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
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