Blogs | New Batches | Hire From Us | +91 8179191999 | [email protected] | 040-2374 6666 / +91 8179191999 | [email protected] |
  1. Courses
  2. Trending
  3. DevOps with Multi Cloud

Training Type

Select faculty

Select Date

Dur:
Course fee : /-

Download Curriculum

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.
Enroll Now
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
APPLY NOW !
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
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

Our Trainees are Working with
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
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!

Angie M. Jaya Priya
course : DevOps with Multi Cloud
Talk to Advisor +91 8179191999

Top 5 Technologies to learn Register for the Course !

By Providing your contact details, you agree to our Terms of use & Privacy Policy

Our Relevant Courses list

SnowFlake

0

ENROLL   SHARE
Google Cloud Online Training

0

ENROLL   SHARE
Multi Cloud

5

ENROLL   SHARE
MS Azure Data Factory

5

ENROLL   SHARE
Azure Fundamentals (AZ-900)

0

ENROLL   SHARE
Azure Developer Associate (AZ-204)

0

ENROLL   SHARE
Azure DevOps (AZ-400)

0

ENROLL   SHARE
Azure Administrator (AZ-104)

0

ENROLL   SHARE
Salesforce LWC

5

ENROLL   SHARE
Salesforce CRM

4.5

ENROLL   SHARE
Azure Data Engineer

4.5

ENROLL   SHARE
MS Azure + Azure DevOps

5

ENROLL   SHARE
Amazon Web Services (AWS)

4.5

ENROLL   SHARE