DevOps with Multi-Cloud Online Training

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Dur: 100 days
Course fee : 20000 /-

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DevOps with Multi Cloud

Course Overview

The DevOps with Multi-Cloud course offers comprehensive training on modern DevOps practices integrated with multiple cloud platforms, including Azure, AWS, and Google Cloud (GCP). This course covers every aspect of cloud deployment, operations management, containerization, CI/CD pipelines, cloud automation, and real-time monitoring. It is designed to equip learners with the skills needed to implement, manage, and optimize DevOps workflows across different cloud environments.

Description

n this course, you will dive deep into modern DevOps methodologies and their applications in multi-cloud environments. By mastering cloud platforms like Azure, AWS, and GCP, you will learn how to deploy applications using advanced containerization techniques with Docker and Kubernetes. The course also covers automated CI/CD pipeline strategies with tools such as Jenkins, GitOps, and GitLab CI/CD. You will gain hands-on experience in integrating various DevOps tools, cloud automation using Python’s Boto3, and monitoring real-time data using Prometheus and Grafana.

Modern DevOps with Multi-Cloud
Learn how to implement cutting-edge DevOps practices across multiple cloud platforms.
Multi-Cloud Strategy with Azure, AWS, and GCP
Develop and execute strategies for managing workloads on Azure, AWS, and GCP.
Cloud Deployment and Operations Management
Master the deployment of cloud applications and efficient operations management.
Containerization with Docker and Kubernetes
Understand and implement containerization using industry-leading tools like Docker and Kubernetes.
CI/CD Pipeline Strategies (Jenkins, GitOps, GitLab CI/CD)
Build, automate, and manage continuous integration and delivery pipelines.
Cloud Automation with Python (Boto3)
Automate cloud operations and processes with Python and Boto3.
DevOps Tools Integration (Jenkins, Ansible, Terraform)
Integrate and use popular DevOps tools for continuous delivery and infrastructure management.
Real-Time Logging and Monitoring with Prometheus and Grafana
Gain real-time insights into workloads with advanced monitoring and logging tools.
Workload Migration and Optimization
Learn techniques for migrating workloads between clouds and optimizing performance.

Course Objectives

By the end of this course, you will be able to:

Understand and implement modern DevOps practices in a multi-cloud environment.
Develop a multi-cloud strategy leveraging Azure, AWS, and GCP.
Deploy and manage cloud applications using Docker and Kubernetes.
Set up automated CI/CD pipelines with Jenkins, GitOps, and GitLab CI/CD.
Automate cloud operations using Python (Boto3).
Integrate DevOps tools such as Jenkins, Ansible, and Terraform.
Monitor and log real-time workloads using Prometheus and Grafana.
Migrate and optimize workloads across different cloud platforms.

Prerequisites

- Basic understanding of DevOps principles and cloud platforms (Azure, AWS, or GCP).
- Familiarity with CI/CD concepts and containerization tools like Docker.
- Knowledge of at least one programming or scripting language, preferably Python.

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Course Curriculum

Introduction to Cloud Computing

What is Cloud Computing?
Evolution and importance of cloud technology
Key players in the market: AWS, Azure, GCP

Why Cloud Computing?

Traditional infrastructure vs. cloud infrastructure
Benefits of moving to the cloud for businesses
Use cases across industries: startups, enterprises, etc

Benefits of Cloud Computing

Cost Efficiency
Scalability and Elasticity
Flexibility and Agility
Disaster Recovery and Business Continuity
Global Accessibility and High Availability
Automated Infrastructure Management (AI/ML)

Types of Cloud Computing

Public Cloud: Introduction and examples (AWS, Azure, GCP)
Private Cloud: On-premise cloud solutions, hybrid models
Hybrid Cloud: Combining public and private cloud resources
Community Cloud: Shared cloud models for specific groups/organizations

Cloud Service Models

Software as a Service (SaaS): Cloud-based software offerings (e.g., Gmail, Salesforce)
Platform as a Service (PaaS): Managed platforms for development (e.g., AWS Elastic Beanstalk, Azure App Service, GCP App Engine)
Infrastructure as a Service (IaaS): Compute resources on demand (e.g., AWS EC2, Azure Virtual Machines, GCP Compute Engine)

Scaling in Cloud Computing

Horizontal Scaling: Adding more servers to handle increased load
Vertical Scaling: Increasing the capacity of existing servers (CPU, RAM, etc.)
Examples of scaling in AWS, Azure, and GCP

Cloud Computing Issues

Vendor Lock-In
Downtime and Outages
Data Privacy and Compliance
Integration with existing infrastructure
Performance and Latency Issues

Security in the Cloud

Shared Responsibility Model: Customer and cloud provider roles
Identity and Access Management (IAM)
Data Encryption (at rest and in transit)
Cloud Security Best Practices (Security Groups, Firewalls, DDoS Protection)
Compliance with global standards (GDPR, HIPAA, etc.)

Cloud Costing Models

Pay-as-you-go vs. Reserved instances
Cost Optimization Techniques
AWS, Azure, and GCP pricing models comparison
Monitoring and managing cloud costs (AWS Cost Explorer, Azure Cost Management, GCP Cost Calculator)

What is virtualization?

Virtualization and cloud computing
Types of virtualizations
Virtualization terminologies
Hypervisor Concepts
Benefits
Vendors

Linux

All-important Linux commands
The Linux filesystem
File permissions
Process management.
User account management
Software management
Networking in Linux

Instance Launch (Windows and Linux OS)

Overview of launching cloud instances using EC2 (AWS), Azure VMs, and Compute Engine (GCP) with both Windows and Linux operating systems.

Instance Types

Overview of instance types (General Purpose, Compute Optimized, Memory Optimized) and selecting appropriate types for different workloads across AWS, Azure, and GCP.

Key Pair Management

Generating and managing SSH Key Pairs for Linux and RDP Access for Windows instances across all platforms

Security Groups & Firewalls

Configuring Security Groups (AWS), NSGs (Azure), and Firewall Rules (GCP) to control network access and secure instances.

Storage and Snapshots

Managing Volumes (AWS EBS, Azure Disks, GCP Persistent Disks) and creating Snapshots for backup and recovery

User Data and Metadata

Automating instance configurations with User Data and retrieving instance-specific information using Metadata.

Load Balancers

Configuring and managing different types of Load Balancers: Elastic Load Balancer (AWS), Azure Load Balancer, and GCP Load Balancer.

Billing and Monitoring Alarms

Setting up Billing Alarms to monitor cloud spending and Instance Alarms for tracking performance and health across AWS, Azure, and GCP.

Auto Scaling

Implementing Auto Scaling Groups to manage instance scaling automatically based on demand, using AWS Auto Scaling, Azure VM Scale Sets, and GCP Managed Instance Groups

Scaling Types and Policies

Understanding Horizontal and Vertical Scaling, and configuring autoscaling policies to handle dynamic workloads.

Aws,Azure And Gcp Auto-scaling

Get Started with Auto Scaling Using the Console
Maintain a Fixed Number of Running EC2 Instances
Dynamic Scaling
The lifecycle of autoscaling
The lifecycle of autoscaling

EBS (Elastic Block Storage)

Create EBS volumes
Delete EBS Volumes
Attach and detach EBS volumes
Mounting and unmounting EBS volume
Creating and deleting snapshots
Creating volumes from snapshots

Networking Basics
Public IPs & Private IPs
CIDR Range
Subnet Calculations
Creating custom VPCs and custom Subnets
Network ACL’s
Route Tables & IGW

What is s3,blob storage,cloud storage
Storage Classes
Versioning
S3 bucket ACL and bucket permission
S3 data partition
Data copying and moving
Cross-region replication / Same Region replication
Life Cycle Management
Security & Encryption
KMS (Key Management Service)
Static Webhosting with S3 bucket and blob storage container and cloud stoarge
Events configuration on S3 buckets,blob storage,cloud storage
Enabling cross account access for S3
S3 Data management and backup using 3rd Party applications.
Pre-Signed URLs
Storage Gateway

Root Account Vs IAM user
Multi Factor Authentication for Users
IAM Password Policies
Keys Configure and different access approaches
User, groups and Role concepts
Creating Customer Managed Policies.
Auditing User Activity

Launching a RDS Instances (MySQL, MSSQL & Aurora)
Multi-AZ & Read Replicas for RDS instances.
High Availability concept in RDS
Difference between DB on Ec2 and managed RDS
RDS Proxy configure process
Elasticache overview.
Connection process from RDS ton Ec2
Connection process from RDS to local machine by using Work Bench process
Creating DB and tables run the queries
Configure Read replica with masters and access the tables from read replica.
DynamoDB overview
Data Importing option from S3 to RDS
Database Migration Service
DB costings and reserved nodes process.

AWS Secret Manager
Key Management Services
AWS Certificate Manager
AWS Inspector
AWS Trusted Advisor
AWS Global Accelerator
Content Delivery Networks / CloudFront
AWS Shield and WAF (Web Application Firewall)
AWS Shield and WAF (Web Application Firewall)
AWS Config

Overview of the Lambda
Configuration with different services
Creation and automate the service by using lambda boto3
General configuration environment setup In lambda
Lambda layers and importance
Limitations

DNS Records overview
Routing Policies
Hosting sample Website and configuring Policies.
Simple RP
Weighted RP
Failover RP
Geo Location RP
Latency based routing
Cross region high availability
Configure records A type, C type
Alias configure to ELB, Static website hosting and Cloud Front

What is DevOps?
DevOps Market Trends | DevOps Engineer Skills
DevOps Delivery Pipeline
DevOps Ecosystem

Introduction
Type of shells
Variables
Types of variables
Operators
Input arguments
String comparison
Athematic comparison
File conditions
If, loops, case, functions
Examples

Apache webserver

Installations
Configuration

Tomcat application server

Installation, configuration
Tomcat manager
Application management

Git Introductions

What is Git
How it will work
Features

Git Workflow

Working Directory
Staging
Local Repository
Remote Repository

How to setup GIT

Installing Git
First-Time Git Setup
Getting a Git Repository

Working with various commands in GIT

Git Cheat sheet

Recording Changes to the Repository

How to check the Status of Your Files
How to track New Files
Staging our modified files
Ignoring Files from GIT
Viewing Your Un-staged and Staged Changes
How to commit Your Changes
Skipping the Staging Area and commit
Removing Files from GIT

Viewing the Commit History

Limiting Log Output
Using a GUI to Visualize History

Undoing Things

Changing Your Last Commit
Unstaging a Staged File
Unmodifying a Modified File

Git Forking

Repository forking

Working with Remotes

Showing Your Remotes
Adding Remote Repositories
Fetching and Pulling from Your Remotes
Pushing to Your Remotes
Inspecting a Remote
Removing and Renaming Remotes

Branching and Merging in Git

What a Branch Is
Basic in Branching and Merging
Branch Management in GIT
Branching Workflows and its usage
Remote Branches – create and delete
Rebasing

Maven Installation
Maven Build requirements
Maven POM Builds (pom.xml)
Maven Build Life Cycle
Maven Local Repository (.m2)
Maven Global Repository
Group ID, Artifact ID, Snapshot
Maven Dependencies
Maven Plugin

Installation & Configuration of SonarQube
Initiate code-scan with SonarQube server
SonarQube dashboard
Sample project to check code scan
Maven integration with SonarQube
Real-time use cases on SonarQube

Introduction to Jenkins
Continuous Integration with Jenkins
Configure Jeins
Jenkins Management
Scheduling build Jobs

POLL SCM
POLL SCM

Jenkins Master & Slave Node Configuration
Jenkins Workspace Management
Securing Jenkins

Authentication
Authorization
Confidentiality
Creating Users

Jenkins Plugins

Installing Jenkins Plugins
SCM plugin
Build and test

Jenkins configure with below services tools

Ec2
Lambda
S3
GitHub
Docker
Jfrog
SonarQube
Kubernetes
Trivy
ArgoCD

Azure CiCd
Git Lab CiCd

Docker Introduction
What is Docker Image
How to get Docker Image
Docker Installation
Working with Docker Containers

What is Container
Docker Engine
Crating Containers with an Image
Working with Images

Docker Command Line Interphase
Docker Compose
Docker Hub
Docker Trusted Registry
Docker swarm
Docker attaches
Docker File & Command

Revisiting Kubernetesz
Cluster Architecture
Spinning up a Kubernetes Cluster on Ec2 VMs
Exploring your Cluster
Understanding YAML
Creating a Deployment in Kubernetes using YAML
Creating a Service in Kubernetes
Installing Kubernetes Dashboard
Deploying an App using Dashboard
Using Rolling Updates in Kubernetes
Containers and Container Orchestration
Helm Charts
Schedulers
Metric Server deployment
Kubernetes volume
RBAC process
Aks
Eks

Helm installation
Helm configuration
Helm deployment

Configuration
K8s logs

Installation
Configurations
CD

Introduction to Continuous Monitoring
Introduction to Grafana
Installing Grafana
Grafana Prometheus and Objects
Grafana Prometheus configure to Kubernetes

Introduction to Ansible
Ansible Server Configuration
Infrastructure Management
SSH Connection in Ansible Master
YAML Scripts
Host Inventory

Hosts and Groups
Host Variables
Group Variables
Host and Group Specific Data

Ad-hoc Commands
Playbooks o Variables

Conditionals
Loops o Blocks
Handlers
Templates

Modules

Core Modules
Extra Modules

Ansible Role

Introduction to terraform

Infrastructure Automation
Install Terraform
Providers
Resources
Basic Syntax
Exercise: Your First Script main.tf

Getting started with Terraform

Terraform Plan, show, Apply, Destroy
Exploring Terraform Registry
Interpolation
Tainting and Updating Resources
Terraform Console and Output
Terraform Variables
Breaking Out Our Variables and Outputs
Lab exercises: Breaking down main.tf into variables.tf, output.tf

Terraform Modules

Introduction to Modules
Module repositories
First Basic Module
The Module codes
Main Terraform Code
Lab exercises: Modules – The Root Module

Terraform: Writing in a more organized way

Maps and Lookups
Terraform Workspaces
Breaking Out Our Variable Definitions
File, Remote -Exec and Local-Exec

Terraform with AWS: lab

Setting up the system for AWS
AWS Storage: The S3 Bucket and Random ID
AWS Storage: The Root Module
AWS Compute: AMI Data, Key Pair, and the File Function
AWS Compute: The EC2 Instance
AWS Compute: User Data and Template Files
AWS Compute: The Root Module

Terraform state

Remote state
Data Sources
Templates
Conditionals
Built-in Functions
Working with state files
Outputs, count and Join Function

Terraform with AWS: Lab Part

AWS Networking: VPC, IGW, and Route Tables
AWS Networking: Subnets, Security, and the Count Attribute
AWS Networking: The Root Module

Terraform Troubleshooting and Testing

Terraform Plan revisited
Debugging the script
Terraform Testing
Lab: Writing test scripts for Terraform.
Lab: Testing with Docker

Terraform Best Practices

Best practices in writing terraform scripts
Terraform Workflow
Terraform projects
Other Hashi Corp tools
New features of Terraform Introduction to Terraform

Introduction to Python
List, Ranges & Tuples in Python
Input and Output in Python
Python Object Oriented
Python Regular Expressions
Python Necessity DevOps

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Who can learn this course

DevOps engineers looking to expand their skillset to multi-cloud environments.
Cloud architects and IT professionals seeking to enhance their cloud deployment and management skills.
System administrators and infrastructure engineers who want to automate cloud-based DevOps workflows.
Software developers and engineers aiming to master CI/CD, containerization, and cloud automation.
Anyone interested in multi-cloud strategy and modern DevOps practices.

Average package of course (DevOps with Multi Cloud)

100% Avg
salary hike

4 - 10L Avg
Package

Upcoming Batches

Course Name	Faculty	Date	Time	Mode of Training	Batch Type	Meeting Link
DevOps with Multi Cloud	Mr. Veera Babu	13 Nov	9:00 AM (IST)	online	Online Training
DevOps with Multi Cloud	Mr. Veera Babu	13 Nov	9:00 AM (IST)	offline	Classroom Training

Training Features

Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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Reviews

For the best understanding of DevOps with MultiCloud, first focus on learning AWS. Mastering AWS separately will enhance your DevOps knowledge. It's easy to learn with no coding required!

Jaya Priya