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DevOps Engineering on AWS
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  • AWS

DevOps Engineering on AWS

  • Length 3 days
  • Price  $2860   $990 inc GST
Course overview
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Why study this course

In this course, students will learn how to use the combination of DevOps cultural philosophies, practices, and tools to increase the organisation’s ability to develop, deliver, and maintain applications and services at high velocity on AWS.

This course covers Continuous Integration (CI), Continuous Delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.

This intermediate-level course is delivered through a mix of instructor-led training (ILT), hands-on labs, and group exercises.

We also offer a one-day AWS Jam Session to complement this course and enhance your learning. The AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges based on concepts covered in the course.

See more information and scheduled dates here.

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What you’ll learn

This course is designed to teach participants how to:

  • Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS

  • List the advantages, roles and responsibilities of small autonomous DevOps teams

  • Design and implement an infrastructure on AWS that supports DevOps development projects

  • Leverage AWS Cloud9 to write, run and debug your code

  • Deploy various environments with AWS CloudFormation

  • Host secure, highly scalable, and private Git repositories with AWS CodeCommit

  • Integrate Git repositories into CI/CD pipelines

  • Automate build, test, and packaging code with AWS CodeBuild

  • Securely store and leverage Docker images and integrate them into your CI/CD pipelines

  • Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications

  • Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”

  • Integrate testing and security into CI/CD pipelines

  • Monitor applications and environments using AWS tools and technologies

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AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

Who is the course for?

This course is intended for:

  • DevOps engineers

  • DevOps architects

  • Operations engineers

  • System administrators

  • Developers

Course subjects

Module 1: Introduction to DevOps

  • What is DevOps?

  • The Amazon journey to DevOps

  • Foundations for DevOps

Module 2: Infrastructure automation

  • Introduction to Infrastructure Automation

  • Diving into the AWS CloudFormation template

  • Modifying an AWS CloudFormation template

  • Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importingresources, and drift detection

Module 3: AWS toolkits

  • Configuring the AWS CLI

  • AWS Software Development Kits (AWS SDKs)

  • AWS SAM CLI

  • AWS Cloud Development Kit (AWS CDK)

  • AWS Cloud9

  • Demonstration: AWS CLI and AWS CDK

  • Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure

Module 4: Continuous integration and continuous delivery (CI/CD) with development tools

  • CI/CD Pipeline and Dev Tools

  • Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline

  • Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy

  • AWS CodePipeline

  • Demonstration: AWS integration with Jenkins

  • Hands-on lab: Automating code deployments using AWS CodePipeline

Module 5: Introduction to Microservices

  • Introduction to Microservices

Module 6: DevOps and containers

  • Deploying applications with Docker

  • Amazon Elastic Container Service and AWS Fargate

  • Amazon Elastic Container Registry and Amazon Elastic Kubernetes service

  • Demonstration: CI/CD pipeline deployment in a containerised application

Module 7: DevOps and serverless computing

  • AWS Lambda and AWS Fargate

  • AWS Serverless Application Repository and AWS SAM

  • AWS Step Functions

  • Demonstration: AWS Lambda and characteristics

  • Demonstration: AWS SAM quick start in AWS Cloud9

  • Hands-on lab: Deploying a serverless application using AWS Serverless Application Model (AWSSAM) and a CI/CD Pipeline

Module 8: Deployment strategies

  • Continuous Deployment

  • Deployments with AWS Services

Module 9: Automated testing

  • Introduction to testing

  • Tests: Unit, integration, fault tolerance, load, and synthetic

  • Product and service integrations

Module 10: Security automation

  • Introduction to DevSecOps

  • Security of the Pipeline

  • Security in the Pipeline

  • Threat Detection Tools

  • Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector

Module 11: Configuration management

  • Introduction to the configuration management process

  • AWS services and tooling for configuration management

  • Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon ElasticContainer Service (Amazon ECS)

Module 12: Observability

  • Introduction to observability

  • AWS tools to assist with observability

  • Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations

Module 13: Reference architecture (Optional module)

  • Reference architectures

Module 14: Course summary

  • Components of DevOps practice

  • CI/CD pipeline review

  • AWS Certification

Please note: This is an emerging technology course. Course outline is subject to change as needed.

Prerequisites

It is recommended that attendees have the following prerequisites:

  • Completed either Cloud Operations on AWS course or Developing on AWS course

  • Working knowledge of one or more high-level programming languages (C#, Java®, PHP, Ruby, Python, etc.)

  • Intermediate knowledge of administering Linux or Windows systems at the command-line level

  • Two or more years of experience provisioning, operating, and managing AWS environments

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

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