AWS DevOps syllubus

1. Introduction to Amazon Web Services (AWS) & the Cloud

What Is Cloud Computing & Advantages of Cloud Computing
AWS Architecture and Terminology, AWS Regions and Availability Zones
Understanding How AWS is Physically Set Up Understanding AWS, Understanding EC2 , Understanding Amazon Elastic Block Store (EBS) & Amazon Simple Storage Service (S3)
Understanding VPCs, Understanding RDS
Selecting the appropriate AWS service based on compute, data, or security requirements
Cloud Service Models, Essential Characteristics & Cloud Computing Deployment Models
LAB – Navigate the AWS Management Console

2.AWS Elastic Compute Cloud- AWS EC2

Understanding EC2 Instance Types, The Lifecycle of Instances
Storage Options for EC2 Instances & Advanced EC2 Features
LAB- Deploying an EC2 Linux and EC2 Windows Instance, Security Groups, Monitoring and Reporting

3. AWS Storage Fundamentals

High Level view of AWS Storage Solutions
Amazon Simple Storage Service (S3), Amazon Glacier, Amazon Elastic Block Store (EBS), Amazon Cloudfront & AWS Storage Gateway
Managing Instance Volumes Using EBS, EBS Snapshots and Replication
LAB- AWS EBS- Creating and Deleting EBS Volume, Attaching & Detaching EBS Volume and Creating Snapshot etc.

4. AWS Simple Storage Service (S3)

AWS Simple Storage Service (S3) Essentials, S3 Bucket/Object Versioning And LifeCycle Policies
Moving Objects Into S3, Handling Bucket And Object Permissions, Accessing S3 Objects, Protecting Data In S3
AWS S3 Concepts & Advanced S3 Features, Hosting A Website In S3
Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS) and Amazon CloudFront storage solutions
Amazon Glacier – Archives, Vaults, Vaults Locks & Data Retrieval
Amazon Glacier versus Amazon Simple Storage Service (Amazon S3)
LifeCycling with S3 and Glacier
Getting Data into AWS – Snowball and Transfer Acceleration
Introduction to CloudFront
CORS, Bucket Policies, ACLs, and Encryption
LAB- S3 Bucket Policy and Versioning
LAB- Enabling S3’s LifeCycle feature – Lifecycle Policies
LAB- Creating A Static Hosting Website With S3

5. Amazon IAM (Identity And Access Management)

Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM)
IAM Best Practices For New Accounts, Building IAM Policies & Using IAM Roles with EC2
Active Directory Federation Role
Web Identity Federation Role
LAB- IAM – Creating and Managing User Access, Creating Users, Roles, and Groups
LAB- Logging IAM events on CloudTrail

6. Amazon VPC (Virtual Private Cloud) And Networking

Introduction To VPC And AWS Networking, AWS Networking Architecture
Building Your Own Custom VPC
Subnets, Route Tables, Internet Gateways
NATs Versus Bastion Hosts
Network Access Control Lists (ACLs)
Dynamic Host Configuration Protocol (DHCP) Option Sets
Elastic IP Addresses (EIPs), Elastic Network Interfaces (ENIs)
Endpoints & VPC Peering
Security Groups, Network Access Control Lists (ACLs)
Network Address Translation (NAT) Instances and NAT Gateways
VPC Peering & VPC Flow Logs
Virtual Private Gateways (VPGs), Customer Gateways (CGWs), and Virtual Private Networks (VPNs)
VPC Networking, VPC Security
VPC Access Methods & VPC Configuration, Extending The VPC To On-Premise Networks
Integrate the VPC with On-Premise-Networks

LAB- Building a Virtual Private Cloud from Scratch & Securing Your VPC
LAB- Creating a NAT Instance in a VPC
LAB- Configuring VPC Peering & Routing Between VPCs

7. AWS Security Fundamentals

Understanding AWS Security Measures
AWS Shared Responsibility Model
AWS Compliance Program
AWS Global Infrastructure Security
Physical and Environmental Security
Layered Security, Security Groups & Network ACLs
AWS Reports, Certifications, and Third-Party Attestations
AWS Account Security Features
AWS Credentials, Passwords
Cloud Security Considerations & Security Best Practices for Clouds
LAB- Security Group and Network ACLs
LAB- Encrypting & Controlling Access to S3; Logging and Auditing Access and Actions

8. Securing Data on AWS

Shared Responsibility Model
Protecting Data at Rest
Protecting Data in Transit
Securing Your Operating Systems and Applications
How to use IAM to keep your data secure
AWS Multi-Factor Authentication (AWS MFA)
LAB- MFA (Multifactor Authentication) on Amazon Web Services

9. Database Fundamentals for AWS

Amazon RDS (Relational Database Service) Overview, Working With RDS
Relational Database Service (RDS): Structure, Understanding RDS Multi-AZ Failover
RDS Security Groups, Read Replicas with MySQL RDS Across Regions
DyamoDB and NoSQL, DynamoDB vs Amazon RDS Database
LAB- Setting Up RDS, Multi-AZ, Backups, and Read Replicas
LAB – Creating DynamoDB Tables

10. Understanding Backup Options

Overview of Backup Services on AWS and Services that Include Backups
Managing Backup And Disaster Recovery Processes,
Quickly Recovering from Disasters
S3 and RDS Backup Options, EBS Options, EC2 Backup Strategies
LAB- S3, RDS Backup & EBS Options

11. Load Balancing with Elastic Load Balancing (ELB)

Introduction to ELB, Basic ELB concepts
Internet-facing ELBs & VPC-facing ELBs
LAB- Elastic Load Balancer Configurations for high availability
LAB- SSL on Elastic Load Balancer

12. AWS’s Domain Name System

Amazon Route 53 Overview
Domain Name System (DNS) & Concepts
Steps Involved in Domain Name System (DNS) Resolution
Record Types & Supported Record Types
Domain Registration
Domain Name System (DNS) Service
Hosted Zones
Amazon Route 53 Enables Resiliency
Domain name management, Route 53 Web Request Handling, Route53 and DNS Failover
Simple Routing Example
Weighted and Latency-Based Routing
Failover and Geo-Based Routing
LAB- Configuring Route 53 from the AWS Management Console
LAB- Route 53 Complex Configurations

13. Amazon CloudTrail

Amazon CloudTrail Overview, Configuring CloudTrail In The Console
LAB- Monitoring CloudTrail Events With CloudWatch

14. Working with Amazon CloudFront

Amazon CloudFront Key Concepts And Overview
CloudFront architectural considerations, Dynamic Content With CloudFront, Streaming Media With CloudFront
Monitoring CloudFront with CloudWatch
LAB- Creating A Multi-Region CloudFront Solution

15. Understand AWS management tools

Amazon CloudWatch and AWS Trusted Advisor
Monitoring with Amazon CloudWatch and Trusted Advisor
LAB- Configuring CloudWatch from the AWS Management Console

16. Active Directory and Amazon Web Services

Setting up Simple Active Directory
Setting up AWS Directory Service for Microsoft Active Directory
Active Directory Connector
AWS Hybrid Active Directory Environments
LAB- Join EC2 Instance to the Domain (Simple AD & AWS AD) Windows

17. High Availability And Fault Tolerant Systems on AWS

Designing highly available, cost -efficient, fault-tolerant, scalable systems, Disaster Recovery And Fail-over Strategies
Implement DR for systems based on RPO and RTO
Implement Elasticity
Scaling Vertically & Horizontally
AutoScaling vs. Resizing
Applying Auto Scaling And ELB To Create High Availability And Fault Tolerance
Deploying, managing, and operating scalable, highly available, and fault tolerant systems on AWS
LAB- Elastic Load Balancer With High Availability Hands On
LAB- Configuring an Auto Scaling Application

18. Monitoring Performance and Availability

Creating CloudWatch Alarms to Monitor Amazon EC2 Instances & EBS for Performance and Availability
Creating CloudWatch Alarms to Monitor the Elastic Load Balancer for Performance and Availability
Creating CloudWatch Alarms to Monitor the RDS for Performance and Availability

19. Troubleshooting

EC2 Troubleshooting Scenarios
VPC Troubleshooting Scenarios
ELB Troubleshooting Scenarios
Auto Scaling Troubleshooting Scenarios
LAB- Troubleshooting Connectivity Issues

20. Application Services

Introduction to the Simple Queue Service (SQS)
Introduction to the Simple Notification Service (SNS)
Hands-on with SNS
Example of Using SQS and SNS
Introduction to the Simple Workflow Service (SWF)

Is AWS and DevOps same?

The concept of DevOps is all about aiding the software application release management process through the standardization of development environments. … Amazon Web

Services (AWS) supports DevOps by providing services to build, store and deploy applications, as well as configuration management tools such as Chef.

What is the role of AWS in DevOps?

AWS helps you use automation so you can build faster and more efficiently. Using AWS services, you can automate manual tasks or processes such as deployments,

development & test workflows, container management, and configuration management.

What are DevOps tools?

DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high

velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes.

Does DevOps need coding?

DevOps teams usually require coding knowledge. That doesn’t mean coding knowledge is a necessity for every member of the team. So it isn’t essential to work in a

DevOps environment.

What is AWS used for?

Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow. Running web and application servers in the cloud to host dynamic websites

What is AWS and what are the benefits of AWS?

AWS enables you to select the operating system, programming language, web application platform, database, and other services you need. With AWS, you receive a virtual environment that lets you load the software and services your application requires.

Does AWS (Amazon Web Services) Have a Future?

Cloud Computing is going to be the future and way to store each and every data’s in the present world. It Conveniently opens your application in different regions around the world with just a few clicks. As a result, the customer can experience a lower latency and low cost. Cloud Computing is the finest way to store and access all the user data. When it comes to Cloud Computing “Amazon Web Services (AWS)” is the popular cloud services platform.AWS is used by many organizations and individuals all over the world.AWS is everywhere in the world and it has been providing more than 100+services in various types.AWS supports a highly safe, extensible, low- cost infrastructure platform in the cloud.AWS having a variety of big data analytics and application services.AWS has the possibility of being the age defining a cloud service provider. It further brings attention and expectation of the cloud consumers/service providers. People are willing to Cooperate with AWS due to the center of attraction built around it.
Amazon Web Services (AWS) is the popular cloud services platform. AWS has placed several data centers worldwide and especially in North America so the performance will be good when we compared to Azure.Amazon web service is a leading cloud service in the current market. The services offered by AWS are storage,database,migration,networking and content delivery,developer tools,Management Tools,Media Services,Machine Learning,Analytics,Security, Identity & Compliance,AR & VR,Application Integration,Customer Engagement,Business Productivity,Desktop & App Streaming,Internet of Things,Game Development.Low cost and its handle to manage global infrastructure. Future easy to use,flexible,cost-effective,reliable,high performance,secure.
The future of AWS (Amazon web service) is bright. Many companies like(Adobe, Airbnb, Alcatel-Lucent, AOL, Acquia, AdRoll, AEG, Alert Logic, Autodesk, Bitdefender, BMW, British Gas, Canon, Capital One, Channel 4, Chef, Citrix, Coinbase, Comcast, Coursera, Docker, Dow Jones, European Space Agency, Financial Times, FINRA, General Electric, GoSquared, Guardian News & Media,etc) are using AWS cloud service in their organization since it offers many services to their clients.

So in demand, it’s the right time to do the certification course in cloud computing. The Candidate whose having their graduation in Bachelor of Engineering (BEng / BE), Master of Computer Science (MCS), Bachelor of Science (BS / BSc) are eligible to do this AWS certification course. For entry level, the candidate needed to complete a certification course for ACSA(AWS Certified Solutions Architect) and the duration for this course is 40hours. The AWS certification needs to be renewal for every 2 years.

The designation for AWS cloud service will be Technical architech, cloud architech, Cloud AWS, AWS DevOps, AWS solution Architech.

COMPUTING JOB SALARY PER ANNUM BY EXPERIENCE – INDIA
For 0-5 years experience, the salary will be 699000
5-10 years experience, the salary will be 1389000
10-20 years experience, the will be 1874000
20 years experience the or more the salary will be 2,500000

Salary offered by companies for AWS is given below,
Cognizant technology-RS 407 – 934K
Tata consultancy Services-Rs 423-455K
Infosys-Rs 384 – 413K
Accenture – Rs 678 – 723 K
Wipro – RS 520 – 562 K
HCL Technologies – Rs 581 – 691K

Demand for AWS for past 3 years in India
From 14 June -20 June 2015 – 35%
26 June-25 July 2016 -59%
15 June -24 June 2017 – 78%
1 July-7 July-94%

This makes you clear that demand for AWS professionals is increasing drastically.

How AWS Training Is Helpful for Companies

AWS stands for Amazon Web Services, which is the name given to cloud computing facilities provided by the Amazon group. It has a comprehensive solutions-based training program which needs to be known by the aspirants who are interested for developing their skills in cloud computing. Aspirants are able to receive a high quality AWS training experience from the industry experts at reputed training institutes.

Why should companies move to the cloud?

Traditionally servers were installed in companies across the world. A significant part of the budget is spent in maintenance of these servers. On top of this, security levels are also not very high, so chances of data theft remain. All these problems can be overcome through cloud computing. In cloud computing, the server is present at a remote location. Delivery of IT resources can be done as per a pay-as-you-go pricing system, and AWS is among the best clouds in the market.

What do aspirants learn in AWS?

There are many different skills taught to the aspirants in AWS. Candidates get exposed to the major functionalities of core AWS services, key concepts, applications, security and architecture patterns. Industry experts allow the candidates to work on the best practices in AWS. Knowledge of the concepts in a practical environment help the aspirants make use of hands-on practice during the training. It is only the hands-on practice which helps aspirants connect theory with real world scenarios.

How AWS helps in placement?

Several companies around the world make use of cloud services. Naturally these companies look for candidates who can handle such services. AWS training allows the candidates to be placed in such companies. Many top companies make use of AWS. Since it is common across firms, training in AWS helps receive placement in good companies.

Target audiences

So how will you know if you really require this training? In case you are one of the following, it will be most helpful to take up the course and enhance your resume:

System Administrator
Researcher
IT Manager
Software developer
Those who have an interest in knowing about cloud computing and getting involved in the same field can reach out for this course. One who is aware of the basic concepts and principles can leverage several benefits in his or her job.

Well known servers among AWS

Amazon EC2 and Amazon S3 are among the most well known servers under the Amazon group. These servers are advertised to be proving a huge computation capacity. It is also said to be faster as well as cheaper compare to building a server farm.

One can differentiate between different servers and understand the advantages of each through AWS training. To locate a good institute for AWS training, make sure you search the Internet.

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