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30-Day Money-Back Guarantee

This course includes:

  • 35 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
IT & Software IT Certification DevOps

Learn DevOps: Deploy Highly available Jenkins on AWS

design and deploy a highly available Jenkins master node on Amazon Web Services
Rating: 3.3 out of 53.3 (5 ratings)
9 students
Created by Muhammad Hassan
Published 11/2019
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Jenkins
  • CICD
  • DevOps
  • AWS
  • Amazon Web Services
  • public cloud
  • AWS EC2

Requirements

  • Jenkins
  • DevOps
  • Continuous Integration
  • Amazon Web Services Account
  • Continuous deployment

Description

This course help you understand, design and deploy a highly available Jenkins master node on Amazon Web Services (AWS) in your production environment. This course assumes that you have a basic understanding of Jenkins as build server, an intermediate knowledge of AWS, compute and storage service offered by the platform. We will look into a one of the deployment architecture for Jenkins in production environment. Then we will start implementing the solution using AWS Web Console. Thanks and Happy learning!

Who this course is for:

  • intermediate or advanced Jenkins Users
  • Developers
  • AWS Architects

Course content

1 section • 10 lectures • 35m total length

  • Preview03:10
  • Preview04:53
  • Preview00:57
  • Preview02:18
  • Setting up AWS EFS
    01:12
  • Launch an EC2 instance
    01:53
  • Mount AWS EFS on AWS EC2
    02:20
  • Install Jenkins on AWS EC2 machine
    04:24
  • Create AMI , Launch Configuration and Auto Scaling Group
    07:51
  • Testing the final deployment
    06:09

Instructor

Muhammad Hassan
Senior Architect @ CGI
Muhammad Hassan
  • 3.3 Instructor Rating
  • 5 Reviews
  • 9 Students
  • 1 Course

Hi, I am AWS Certified Solutions Architect Associate, AWS Certified Big Data Specialist and Snowflake data warehouse Certified Professional,I have passion for analysing Big Data with Spark and Amazon EMR, practical experience in implementing cloud computing solutions, Location based application development, Android Native and Hybrid Application development, IOS and Android application Development, Real time analytics, scalable cloud infrastructure development, Business Intelligence, Server-less micro-services based infrastructure development and CI/CD, operation and maintenance of data collection and analytics data pipeline using AWS infrastructure and technologies.



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