The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating and managing distributed application systems on the AWS platform. Edureka's AWS Certified DevOps Engineer training has been designed to help an individual in developing advanced technical skills on CodeCommit, Codepipeline, CloudFormation, OpsWorks, Beanstalk and many more, needed to successfully attempt the AWS Certified DevOps Engineer – Professional examination. With this AWS professional certification under your belt, you will join an elite club of AWS Certified DevOps Engineer Professionals who are in high demand by employers worldwide.
Introduction to DevOps on Cloud
Learning Objectives: In this module, you will be introduced to important aspects of DevOps and Amazon Web Services. Also, you will get to know about the necessary security concepts required to manage your account and data on the AWS platform.
Understanding DevOps and its lifecycle
Why DevOps on Cloud?
Introduction to AWS
DevOps using AWS
Security Management - IAM (Identity and Access Management), WAF (Web Application Firewall), AWS Shield, Guard Duty
Creating Policies for a new user to have all Admin Or Limited Privileges
Login AWS Management Console via MFA
Enabling Governance using AWS Config
Set Alerts and Budget for your AWS Account
Learning Objectives: In this module, you will learn how to automate Software Development Lifecycle using various AWS development tools.
Automating Infrastructure with CloudFormation
Learning Objectives:In this module, you will be introduced to important aspects of CloudFormation. Along with it, you will also learn how to use CloudFormation Templates to model and provision the AWS resources in an automated and secure manner for your application.
Introduction to CloudFormation
Intrinsic Functions & Conditions
Advanced CloudFormation Concepts - CloudFormation Nesting, CloudFormation Wait Conditions & Wait Condition Handlers, CloudFormation Helper Scripts, CloudFormation Custom Resources
CloudFormation Stack Updates
CloudFormation Resource Deletion Policy
CloudFormation Best Practices
Creating an S3 Bucket using CloudFormation by Hardcoding the Name
Creating an S3 Bucket using Intrinsic Function (Join And Ref)
Creating and Configuring EC2 Instance using Helper Scripts
Creating a Custom Resource with the help of Lambda Function
Application Deployment Using Elastic Beanstalk
Learning Objectives: In this module, you will learn various aspects of Elastic Beanstalk. Also, you will learn how to deploy and monitor your application in Beanstalk.
Introduction to Elastic Beanstalk
Components of Beanstalk
Docker in Elastic Beanstalk
Extending Beanstalk using extensions
Alarms and Notification
Deploy a Web application with DynamoDB using Beanstalk
Deploy an application in beanstalk using Docker
Immutable deployment of the application in Beanstalk
Creating cron-job on beanstalk instances using .ebextensions
Configuration Management using OpsWorks
Learning Objectives:In this module, you will get to know the nitty-gritty of AWS OpsWorks and learn how to create stacks and manage configuration with AWS OpsWorks.
Introduction to OpsWorks
Components of OpsWorks
Cookbooks, Recipes, Data bags and Berkshelf
OpsWorks Lifecycle Events
Deploy an application in OpsWorks Stack
Integration of CloudFormation with OpsWorks
Automate Monitoring and Event Management in AWS
Learning Objectives: In this module, you will understand how to implement the concepts of continuous monitoring and management using CloudWatch and CloudTrail. You will also learn to set-up event-driven automated actions.
Introduction to CloudWatch
CloudWatch Metrics: EC2, ELB, and Auto Scaling metrics
Introduction to CloudTrail
Concepts required to set-up event-driven automated actions - Lambda, SNS, Autoscaling
Configure Amazon CloudWatch to Notify when CPU Utilization of an Instance is greater than 85%
Enable CloudTrail and store Logs in S3
High Availability, Fault Tolerance, and Disaster Recovery
Learning Objectives: In this module, you will learn how to implement highly available and fault-tolerant systems. Also, you will be introduced to Disaster recovery strategies which are effective in making your system resilient at any point of failure.
Multi region and multi AZs
Data Management in Amazon RDS
Provisioning elasticity using Load Balancer and Auto-Scaling
Components of Auto Scaling
Horizontal and vertical scaling
Recovery Time Objective and Recovery Point Objective
Disaster Recovery Options
Overcome single Point of Failure
Working of Load Balancer and Auto-Scaling to support highly available and fault tolerant system
Container Management Tools
Learning Objective: In this module, you will learn about container management tools like Elastic Container Registry (ECR), Elastic Container Service (ECS) and Fargate.
Elastic Container Service
Select a Launch type for your application
ECS with EC2
ECS with Fargate
To Push An Image Into ECR
To host a website inside ECS using Fargate launch type