AWS – DevOps Job Oriented Program

• 1.1 IDENTITY AND ACCESS MANAGEMENT IAM
• 1.2 BEST PRACTICES OF IAM
• 1.3 CREATING API KEYS FOR ACCESSING AWS SERVICES
• 1.4 KEY MANAGEMENT SYSTEM (KMS)
• 1.5 GUARDDUTY DETECTION CONTROL
• 1.6 INFRASTRUCTURE PROTECTION VIA WAF & SHIELD
• 1.7 DATA PROTECTION VIA KMS AND CLOUD HSM

Hands On :

• WORKING WITH AWS IAM
•  ENABLE MULTI-FACTOR AUTHENTICATION
• AWS KMS CREATE & USE
•  IAM POWER USER

• 1.1: TRADITIONS VS CLOUD STORAGE
• 1.2: DIFFERENT STORAGE OPTIONS ON AWS
• 1.3: DIFFERENCE BETWEEN S3, EBS AND EFS
• 1.4: CROSS-REGION REPLICATION (CRR) AND ITS USE CASE
• 1.5: AMAZON S3 TRANSFER ACCELERATION
• 1.6: CLOUD FRONT AND SNOWBALL
• 1.7: STORAGE GATEWAY
• 1.8: GLACIER VAULT LOCK & S3 OBJECT LOCK

Hands On :

•  CREATE S3 BUCKET, UPLOAD & ACCESS FILES AND HOST WEBSITE
•  S3 CROSS REGION REPLICATION
•  S3 LIFECYCLE MANAGEMENT ON S3 BUCKET
•  S3 LIFECYCLE MANAGEMENT ON S3 BUCKET

• 1.1: COMPUTE VIRTUALIZATION
• 1.2: AMAZON ELASTIC COMPUTE CLOUD (EC2)
• 1.3: AMAZON MACHINE IMAGE (AMI)
• 1.4: HARDWARE TENANCY SHARED VS DEDICATED
• 1.5: ELASTIC NETWORK INTERFACE (ENI)
• 1.6: INSTANCE STORE
• 1.7: ELASTIC BLOCK STORE (EBS)
• 1.8: SOLID STATE DRIVE & HARD DISK DRIVE
• 1.9: ELASTIC FILE SYSTEM (EFS)

Hands On :

•  CREATE AND MANAGE EBS VOLUMES & SNAPSHOTS
•  ATTACH & MOUNT EBS VOLUME TO LINUX EC2 INSTANCE
• ATTACH & MOUNT EBS VOLUME TO EC2 WINDOWS INSTANCE
• CREATE WINDOWS FILE SYSTEMS USING AMAZON FSX
• CREATE & MOUNT ELASTIC FILE SYSTEM (EFS) ON EC2 INSTANCES
• SSH INTO EC2 LINUX INSTANCE VIA USERNAME & PASSWORD

• 1.1: ELASTIC LOAD BALANCER
• 1.2: APPLICATION V/S NETWORK V/S GATEWAY
• 1.3: LOAD BALANCER
• 1.4: LOAD BALANCER TROUBLESHOOT
• 1.5: AUTO SCALING AND LIFECYCLE
• 1.6: ROUTE 53
• 1.7: ROUTING POLICIES

Hands On

•  NETWORK LOAD BALANCER
•  CONFIGURE A LOAD BALANCER AND AUTOSCALING ON EC2 INSTANCES
• AMAZON EC2 AUTO SCALING WITH EC2 SPOT INSTANCES
•  BLOCK WEB TRAFFIC WITH WAF IN AWS
• REGISTER A DOMAIN NAME FOR FREE
•  MAP DNS USING ROUTE 53
• CREATE LAUNCH TEMPLATE FOR AUTO SCALING GROUP

• 1. 1: TRADITIONAL AND VIRTUAL NETWORK
• 1. 2: VIRTUAL PRIVATE CLOUD (VPC)
• 1. 3: CIDR- CLASSLESS INTER-DOMAIN ROUTING
• 1. 4: SUBNET, INTERNET GATEWAY AND ROUTE TABLES
• 1. 5: CONTROL LIST, NACL AND SECURITY GROUP
• 1. 6: NAT DEVICES, GATEWAY AND INSTANCE
• 1. 7: VPC PEERING AND ITS WORKING
• 1. 8: VPN AND DIRECT CONNECT
• 1. 9: AWS CLOUD WATCH
• 1. 10: CLOUD TRAIL
• 1. 11: TRUSTED ADVISOR AND ITS WORKING

Hankd On:

• CREATE CUSTOM VIRTUAL PRIVATE CLOUD
• WORK WITH VPC PEERING CONNECTION
•  AWS ELASTIC IP
• CONFIGURE AMAZON CLOUDWATCH TO NOTIFY CHANGE IN EC2 CPU UTILIZATION
• ENABLE CLOUD TRAIL AND STORE LOGS IN S3
• SETTING UP AWS CONFIG TO ASSESS AUDIT & EVALUATE AWS RESOURCES
•  ESTABLISH A CLIENT-SIDE VPN

• 1. 1: DATABASE AND TYPES OF AWS DATABASE SERVICES
• 1. 2: AMAZON RDS AND READ REPLICA
• 1. 3: IAM IN AMAZON RDS
• 1. 4: SQL AND NOSQL DATABASES
• 1. 5: AMAZON DYNAMODB
• 1. 6: AMAZON ELASTICACHE, MEMCACHED & REDIS
• 1. 7: AMAZON REDSHIFT AND ARCHITECTURE
• 1. 8: AMAZON AURORA

Hands On:

•  CREATE & QUERY WITH AMAZON DYNAMODB
• CREATE A REDIS CACHE & CONNECT IT TO EC2 INSTANCE
•  VISUALIZE WEB TRAFFIC USING KINESIS DATA STREAMS
• AMAZON ATHENA
• AMAZON AURORA

• 1. 1 AWS LAMBDA
• 1. 2: API-GATEWAY
• 1. 3: AWS SNS/SQS

Hands On

•  BUILD API GATEWAY WITH LAMBDA INTEGRATION
• EVENT-DRIVEN ARCHITECTURES USING AWS LAMBDA, SES, SNS AND SQS

• 1. 1: PRINCIPLES AND HISTORY OF DEVOPS
• 1. 2: WATERFALL APPROACH, AGILE MODEL, DEVOPS MODEL
• 1. 3: DEVOPS LIFECYCLE
• 1. 4: AWS DEVOPS

• 1. 1: CODECOMMIT
• 1. 2: CODEBUILD
• 1. 3: CODEDEPLOY
• 1. 4: CODEPIPELINE
• 1. 5: CODESTA
• 1. 6: CODEGURU

Hands On:

•  WORKING WITH AWS CODECOMMIT
• BUILD APPLICATION WITH AWS CODEBUILD
•  DEPLOY SAMPLE APPLICATION USING AWS CODEDEPLOY
• CREATE A SIMPLE PIPELINE (CODEPIPELINE)
• BUILD APPLICATION WITH AWS CODESTAR

• 1. 1: CLOUDFORMATION
• 1. 2: ELASTIC BEANSTALK
• 1. 3: DEPLOYMENT STRATEGIES
• 1. 4: AWS SYSTEM MANAGER

Hands On :

•  DEPLOY AN APPLICATION WITH DYNAMODB TO ELASTIC BEANSTALK
•  BLUE-GREEN DEPLOYMENTS USING ELASTIC BEANSTALK
• CREATE AND UPDATE STACKS USING CLOUDFORMATIO
• CREATE & CONFIGURE EC2 WITH HELPER-SCRIPTS
• CREATE LAMBDA BACKED CUSTOM RESOURCE
• USING AWS SYSTEMS MANAGER FOR PATCH MANAGEMENT

• 1. 1: CONCEPT OF ORCHESTRSTION
• 1. 2: ECS
• 1. 3: ECS WITH CICD

Hands On :

• CREATE ECR, INSTALL DOCKER, CREATE IMAGE, AND PUSH IMAGE TO ECR
• CREATE TASK DEFINITIONS, SCHEDULING TASKS, CONFIGURING SERVICES AND CLUSTER USING EC2 LAUNCH TYPES

• 1. 1: VULNERABILITY
• 1. 2: AWS CLOUDTRAIL
• 1. 3: AWS CLOUDWATCH
• 1. 4: UNIFIED CLOUDWATCH AGENT
• 1. 5: AWS CONFIG
• 1. 6: AWS INSPECTOR
• 1. 7: AWS TRUSTED ADVISOR
• 1. 8: AWS SECURITY HUB
• 1. 9: AMAZON ATHENA
• 1. 10: AMAZON MACIE
• 1. 11: CENTRALIZED LOGGING ARCHITECTURE
• 1. 12: CROSS-ACCOUNT LOG DATA SHARING
• 1. 13: SIMPLE NOTIFICATION SERVICE (SNS)
• 1. 14: SIMPLE EMAIL SERVICE (SES)
• 1. 15: LOGGING IN AWS

Hands On :

• SETTING UP AWS CONFIG TO ASSESS AUDIT & EVALUATE AWS RESOURCES
• ENABLE CLOUDTRAIL AND STORE LOGS IN S3
• INSTALL CLOUDWATCH AGENT ON EC2 INSTANCE & VIEW CLOUDWATCH METRICS
• AWS ACCESS CONTROL ALERTS WITH CLOUDWATCH AND CLOUDTRAIL
• FIND VULNERABILITIES ON EC2 INSTANCE USING AMAZON INSPECTOR
• CHECK AWS RESOURCES IN TRUSTED ADVISOR
• CHECK THE COMPLIANCE STATUS OF SECURITY GROUP USING AWS CONFIG

• 1. 1: AWS MIGRATION STRATEGY
• 1. 2: APPLICATION MIGRATION
• 1. 3: DATABASE MIGRATION
• 1. 4: DATA MIGRATION
• 1. 5: MIGRATION MONOLITHIC APPLICATION

Hands On :

• CREATE CUSTOM VIRTUAL, PRIVATE CLOUD
• CREATE AND UPDATE STACKS USING CLOUDFORMATION
• MIGRATING AN ON-PREMISES VM MACHINE TO THE AWS ENVIRONMENT
• MIGRATING A SOURCE DB, WHICH WILL BE FROM OUTSIDE THE AWS ENVIRONMENT TO TARGET AWS RDS AURORA DB IN THE SIDE AWS ENVIRONMENT
• SPEEDING UP A LARGE-SCALE DATA MIGRATION TO S3 BY ENABLING S3 ACCELERATION
• CONFIRMING HOW MUCH DATA MIGRATION HAS BEEN SPEEDED UP VIA A TOOL
• MIGRATING A MONOLITHIC APPLICATION TO AWS AND THEN BREAKING IT INTO MICROSERVICES

• 1. 1: Introduction to Python Programming
• 1. 2: Why do we need Python?
• 1. 3: Program structure in Python
• 1. 4: Execution steps
• 1. 5: Interactive Shell
• 1. 6: Executable or script files.
• 1. 7: User Interface or IDE
• 1. 8: Flow Control
• 1. 9: Boolean Operators
• 1.10: Comparison Operators
• 1. 11: Binary Boolean Operators
• 1. 12: The not Operator
• 1. 13: Data Types and Operations

• 1. 1: Numbers
• 1. 2: Strings
• 1. 3: List
• 1. 4: Tuple
• 1. 5: Dictionary
• 1. 6: Other Core Types
• 1. 7: Changing Values in a List with Indexes
• 1. 8: List Concatenation and List Replication
• 1. 9: Using for Loops with Lists
• 1. 10: Removing Values from Lists with del Statements
• 1. 11: Pattern Matching with Regular Expressions
  Regular Expression Matching
• 1. 12: Finding Patterns of Text with Regular Expressions
• 1. 13: Grouping with Parentheses
• 1. 14: Matching Multiple Groups with the Pipe
• 1. 15: Matching Zero or More with the Star
• 1. 16: Matching Specific Repetitions with Curly Brackets
• 1. 17: Case-Insensitive Matching
  Statements and Syntax in Python

• 1. 1: Backslash on Windows and Forward Slash on OS X and Linux
• 1. 2: Absolute vs. Relative Paths
• 1. 3: Finding File Sizes and Folder Contents
• 1.4:Open/Read/Write/Append into file
• 1. 5: Using Files
• 1. 6: Copying Files and Folders
• 1. 7: Libraries
• 1. 8: Importing a library using PIP, CONDO etc
• 1. 9: Math
• 1. 10: Numpy
• 1. 11: Working with RDBMS
• 1. 12: Connection to Database
• 1. 13: Cursor Creation
• 1. 14: Fire Query & Collect results from Tables/Queries
• 1. 15: Insert Data into Tables
• 1. 16: Bulk Insert into Tables
• 1. 17: Procedure Calls with Arguments & Collect Result Values
  
• 1. 18: Debugging
• 1. 19: Raising Exceptions

• 1. 1: Getting the Traceback as a String
• 1. 2: Assertions
• 1. 3: Logging Module
• 1. 4: Logging to a File
• 1. 5: IDLE’s Debugger
• 1. 6: Breakpoints
• 1. 7: Working with CSV Files and JSON Data
• 1. 8: CSV Module
• 1. 9: Reading Data from Reader
• 1. 10: Objects in a for Loop
• 1. 11: Writer Objects
• 1. 12: The delimiter and line terminator Keyword Arguments
• 1. 13: JSON Module
• 1. 14: Reading JSON with the loads() Function
• 1. 15: Writing JSON with the dumps() Function
• 1. 16: Multithreading
• 1. 17: Running Other Python Scripts

• 1. 1: CV PREPARATION
• 1. 2: INTERVIEW PREPARATION
• 1. 3: LINKEDIN PROFILE UPDATE
• 1. 4: EXPERT TIPS & TRICKS