AWS DevOps Engineer Professional Training

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.

Topics:

• 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
• Trusted Advisor
• Governance Strategies

Hands-on:

• Creating Policies for a new user to have all Admin Or Limited Privileges
• Login AWS Management Console via MFA
• Trusted Advisor
• 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.

Topics:

• CodeCommit
• CodeBuild
• CodePipeline
• CodeDeploy
• AWS CodeStar

Hands-on:

• Working of Code Commit
• Deploy an application using Codepipeline

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.

Topics:

• Introduction to CloudFormation
• CloudFormation Template
• Intrinsic Functions & Conditions
• Stack Creation
• 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
• Troubleshooting

Hands-on:

• 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

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.

Topics:

• Introduction to Elastic Beanstalk
• Components of Beanstalk
• Deployment Option
• Platform Updates
• Docker in Elastic Beanstalk
• Extending Beanstalk using extensions
• Alarms and Notification
• Troubleshooting

Hands-on:

• 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

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.

Topics:

• Introduction to OpsWorks
• Components of OpsWorks
• Cookbooks, Recipes, Data bags and Berkshelf
• OpsWorks Lifecycle Events
• OpsWorks Deployment
• OpsWorks Auto-Healing
• Troubleshooting

Hands-on:

• Deploy an application in OpsWorks Stack
• Integration of CloudFormation with OpsWorks

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.

Topics:

• Introduction to CloudWatch
• CloudWatch Metrics: EC2, ELB, and Auto Scaling metrics
• Custom Metrics
• CloudWatch Alarms
• CloudWatch Agent
• CloudWatch Logs
• Introduction to CloudTrail
• System Manager
• Tagging
• Concepts required to set-up event-driven automated actions – Lambda, SNS, Autoscaling

Hands-on:

• Configure Amazon CloudWatch to Notify when CPU Utilization of an Instance is greater than 85%
• Enable CloudTrail and store Logs in S3

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.

Topics:

• EBS
• Elastic IP
• Multi region and multi AZs
• SQS
• Data Management in Amazon RDS
• Dynamo DB
• S3
• Provisioning elasticity using Load Balancer and Auto-Scaling
• Components of Auto Scaling
• Horizontal and vertical scaling
• Auto-Scaling Lifecycle
• Recovery Time Objective and Recovery Point Objective
• Disaster Recovery Options
• Overcome single Point of Failure

Hands-on:

• Working of Load Balancer and Auto-Scaling to support highly available and fault tolerant system

Learning Objective: In this module, you will learn about container management tools like Elastic Container Registry (ECR), Elastic Container Service (ECS) and Fargate.

Topics:

• Orchestration
• Elastic Container Service
• Amazon ECR
• Select a Launch type for your application
• ECS with EC2
• ECS with Fargate

Hands On:

• To Push An Image Into ECR
• To host a website inside ECS using Fargate launch type

Learning Objectives: This module focuses on exam questionnaires along with guidance on preparing for the AWS Certified DevOps Engineer Exam.

Topics:

• AWS Certified DevOps Engineer Exam Guide
• Certification Exam Questionnaires

This course covers industry recognized and widely used concepts such as Infrastructure-as-Code, CI/CD pipeline, Immutable Infrastructure, Deployment Strategies, Containers etc. and how to implement these principles on AWS platform using services such as Code-Suite services, CloudFormation, Elastic Beanstalk, Elastic Container Service etc. CertAdda’s AWS certified DevOps engineer training is aligned with the AWS Certified DevOps Engineer – Professional course, which is structured around the 6 domains outlined in the AWS exam blueprint. This course will cover the core concepts for each domain, including:

• Domain 1: SDLC Automation
• Domain 2: Configuration Management and Infrastructure as Code
• Domain 3: Monitoring and Logging
• Domain 4: Policies and Standards Automation
• Domain 5: Incident and Event Response
• Domain 6: High Availability, Fault Tolerance, and Disaster Recovery

DevOps is a software development approach which involves continuous development, continuous integration, continuous testing, continuous deployment and continuous monitoring of software throughout its life cycle. On the other hand, AWS is leading the pack in terms of Cloud Computing which provides a bunch of flexible services to reliably and rapidly, build and deliver products. So, DevOps with AWS is a potent combination to automate manual tasks, help teams manage complex environments at scale, and enable organizations to better serve their customers and compete more effectively in the market.

After completing this course, you will be able to:

• Use the principal concepts and practices behind the DevOps methodology
• Design and implement an infrastructure on AWS that supports one or more DevOps development projects
• Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
• Implement several common Continuous Deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
• Distinguish between the array of application deployment technologies available on AWS, including AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service, and Amazon Elastic Container Registry
• Use Amazon EC2 Systems Manager for patch management
• Leverage automated testing in different stages of a CI/CD pipeline
• Fine-tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues

The following professionals can go for this course:

• System Administrators
• Software Developers
• Cloud Professionals
• Solution Architects
• Project Manager
• Technical Lead

We recommend that attendees of this course have the following prerequisites:

• Working knowledge of DevOps and Amazon Web Services
• Familiarity with AWS Development or AWS System Administration
• Working knowledge of one or more high-level programming languages, such as C#, Java, PHP, Ruby, or Python
• Intermediate knowledge of administering Linux or Windows systems at the command-line level
• Working experience with AWS using both the AWS Management Console and the AWS Command Line Interface (AWS CLI)

 

The system requirements include an Intel i3 processor or above, 3GB RAM (4GB RAM recommended) and a 32-bit or 64-bit operating system.

In AWS certified DevOps Engineer course, you will be working on the cloud servers and various other services that Amazon provides. You need to create an account on AWS which will give you access to all the AWS services. The step-wise guide for accessing these services will be available in the LMS and Edureka’s support team will assist you 24*7 for any doubts.

CertAdda’s AWS Certified DevOps Engineer Training includes multiple real-time, industry-based projects, which will hone your skills as per current industry standards.

• Deploy an Application using CodePipeline
• Shared Hosting in Beanstalk
• Automating Deployment in Opsworks Stack using CodePipeline

“You will never miss a lecture at CertAdda You can choose either of the two options: View the recorded session of the class available in your LMS or You can attend the missed session, in any other live batch.
What if I have queries after I complete this course?
Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24×7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.