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📅 Course Duration
3 Months
💰 Course Price
₹ 25000
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📄 Course Content
Overview of Multi Cloud Devops Training in Hyderabad
With modern organizations going international and adopting digital transformation, the demands to have engineers with the capability of working across various platforms across multiple clouds have never been higher. Past experience in single-clouds is no longer sufficient. Now enterprises use a multi-cloud approach, switching to such platforms as AWS, in order to achieve better reliability, security, performance, and cost effectiveness.
Multi-cloud devops training in Hyderabad offered by Version IT is designed to ensure that the IT professionals acquire practically relevant job skills in AWS DevOps in order to design, automate, deploy, and administer applications in various cloud ecosystems. The course will teach you how to master the tools, frameworks, and DevOps practices that contemporary organizations are applying in order to create scalable cloud environments.
This applies to the roles you seek whether they are DevOps, a position in cloud engineering or even an SRE opportunity; mastering multi-cloud platforms would provide you with an extremely large competitive edge in the current technology industry.
Why Multi Cloud Devops Skills Matter Today
Companies have lost interest in being tied to one cloud provider. Organizations are moving towards multi-clouds infrastructures in an attempt to satisfy worldwide availability needs, price optimization, workload balancing, and regulatory demands by the region. This transformation needs experts who are familiar with the construction of CI/CD pipelines, auto deployments, distributed system monitoring, and cloud security on AWS Devops.
The skill gap between these two is overcome by Version IT’s multi cloud devops Course in Hyderabad, which is an industry-facade, comprehensive course that is set to launch you into the real enterprise world.
Multi Cloud Devops Training in Hyderabad at Version IT
Multi Cloud Training is a practical based program that we have constructed. Each module is connected with on-the-job labs, cloud platforms, and all-the-way DevOps operations. The curriculum is presented by the certified cloud and DevOps specialists who have a profound knowledge of operations in real-time multi-clouds.
You will learn the entire lifecycle of DevOps on AWS and Azure including:
- CI/CD pipelines
- Infrastructure automation
- Containerization and orchestration.
- Cloud security and compliance.
- Deployment automation
- Observability and monitoring.
- Delivery of multi-cloud projects.
During the course, you will develop practical skills, such as designing cross-platform pipelines, deploying a microservice, automating infrastructure using Terraform, and observing multi-cloud environments.
This helps you make sure that your training is not merely theoretical- but it is based on the tasks that a DevOps engineer has to complete in a hybrid and multi-cloud environment.
Key Benefits of Version IT’s Multi Cloud Devops Training in Hyderabad
When you switch to Version IT, you are not only getting knowledge in the cloud, but the entire full-stack DevOps applications that employers are actively recruiting.
- Dual-Cloud Mastery (Azure DevOps | AWS).
Master both cloud systems and have the ability to be flexible and have greater employment prospects.
- Practical labs based on actual cloud technology.
You will do all the assignments on real AWS and Azure accounts- not simulation.
- Learn Industry Tools
Terraform, and Docker, Kubernetes, GitHub Actions, Ansible, Prometheus, CloudWatch, and Azure Monitor et al.
- Production-Grade CI/CD Training.
Construct pipelines that are similar to enterprise DevOps architectures.
- Certification Support
Get guidance for:
- AWS DevOps Engineer
- Microsoft Azure DevOps Specialist.
- Terraform Associate
- Multi Cloud online training: classroom and multi-cloud online training.
Either attend or study online in interactive sessions.
- Job Service & Career Advice.
Resume development, practice which imitates interviews, and job references.
- Eligibility to Well-Paying positions.
The niche and high-demand skills that multi-cloud professionals have allow them to earn a lot more.
Version IT’s Multi Cloud Devops Certification
After graduating with the Multi Cloud Devops Course in Hyderabad, you will be awarded with an industry-approved certification by Version IT. This certification certifies that you are competent in:
- Create CI/CD pipelines in clouds.
- Use IaC tools effectively
- Start containerized workloads.
- Lock, observe and store cloud systems.
- Confidently operate in multi-cloud DevOps environments.
Job Opportunities After Multi Cloud Training in Hyderabad
The multi-cloud DevOps engineers are some of the most expensive engineers in the cloud ecosystem. Companies are demanding engineers that would be compatible in both AWS and Azure.
You can apply for roles like:
- Multi-Cloud DevOps Engineer
- Azure & AWS DevOps Engineer
- CI/CD Pipeline Architect
- Cloud Automation Engineer
- DevSecOps Engineer
- Release & Deployment Manager
Version IT makes you equipped with the essential experience to be successful in every of these roles.
WhoCan Learn Multi Cloud Devops?
The course is best suited for:
- DevOps Engineers
- Cloud Architects
- System Admins
- SREs
- Full-Stack Developers
- IT Professionals who would like cloud migration skills.
- Cloud career seekers: students and freshers.
- Business teams in cloud transformation.
- AWS /Azure certification professionals.
This course is beneficial to both beginners or mid-level engineers to enable them to grow at a high rate.
Topics You will Learn
- 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
- 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
- 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
FAQ's
Normally 6-8 weeks, including weekday and weekend batches.
Yes, everything is being done on actual AWS and Azure accounts.
Yes, it has a Multi Cloud Online Training option.
Terraform, Ashura, Docker, Kubernetes, Azure DevOps, AWS DevOps tools, Ansible etc.
Yes, Version IT offers a completion certificate of the course.
