DevOps Training
Career Path Benefit: DevOps training positions individuals for roles like DevOps Engineer, Automation Engineer, or Release Manager. As organizations prioritize efficiency in software development and deployment, DevOps professionals are highly sought after.
Key Career Path Benefits for Individuals:
DevOps Training
Course Overview
The Professional DevOps Full Training Course is designed to equip participants with advanced skills and practical experience in key DevOps technologies and methodologies. Through a combination of theoretical concepts, hands-on labs, and real-world scenarios, participants will gain proficiency in Docker, Kubernetes, CI/CD pipelines using Jenkins, Linux administration, and AWS cloud architecture.
DevOps Professional
Linux Administrator ,
Docker Certified (DCA) ,
Kubernetes Certified (CKA) ,
CI/CD Pipelines ( Jenkins ) ,
AWS Certified Solution Architecture
Course Outline: Linux Administration
Module 1: Introduction to Linux
History and evolution of Linux
Linux distributions and package management
Accessing Linux systems: SSH, terminal, and desktop environments
Module 2: Linux Installation and Initial Configuration
Planning a Linux installation
Installing Linux on physical and virtual machines
Basic system configuration: hostname, time zone, language settings
Module 3: User and Group Administration
Managing user accounts and groups
Password policies and authentication mechanisms
File system permissions and access control lists (ACLs)
Module 4: File System Management
Understanding Linux file system hierarchy
Disk partitioning and formatting
Mounting and unmounting file systems
Module 5: Linux Networking
Configuring network interfaces
IP addressing and routing
Troubleshooting network connectivity issues
Module 6: Linux System Maintenance
Managing software packages with package managers (apt, yum)
Updating and patching the Linux system
Monitoring system performance and resource usage
Module 7: Linux Security
Introduction to Linux security principles
Securing user accounts and authentication
Firewall configuration with iptables or firewalld
Module 8: Shell Scripting and Automation
Introduction to shell scripting languages (Bash)
Writing and executing shell scripts
Automating system administration tasks with cron jobs
Module 9: Advanced Linux Topics
Managing Linux services: systemd and SysVinit
Configuring and managing Apache web server
Introduction to containerization with Docker
Module 10: Linux Certification Exam Preparation
Overview of Linux certification exams (CompTIA Linux+, LPIC-1)
Practice questions and mock exams
Exam tips and strategies
Prerequisites:
Basic understanding of computer hardware and operating systems
Familiarity with command-line interface (CLI) usage
Prior exposure to Linux is helpful but not required
Course Outline: Docker
Module 1: Introduction to Docker
Understanding containerization
Overview of Docker and its ecosystem
Docker architecture and components
Module 2: Docker Installation and Setup
Installing Docker on different operating systems (Linux, Windows, macOS)
Configuring Docker Engine
Docker CLI basics
Module 3: Docker Images
Creating Docker images from containers
Managing Docker images: pulling, pushing, and tagging
Dockerfile fundamentals and best practices
Module 4: Docker Containers
Running and managing Docker containers
Container lifecycle management
Persistent storage in Docker containers
Module 5: Docker Networking
Overview of Docker networking models
Configuring network bridges and overlays
Container communication and service discovery
Module 6: Docker Security
Container security best practices
Docker security features: namespaces, cgroups, capabilities
Implementing secure Docker configurations
Module 7: Docker Orchestration with Docker Swarm
Introduction to Docker Swarm
Setting up a Docker Swarm cluster
Deploying and managing services with Docker Swarm
Module 8: Introduction to Kubernetes
Understanding Kubernetes architecture and components
Kubernetes installation and setup
Deploying applications with Kubernetes
Module 9: Docker Orchestration with Kubernetes
Kubernetes Pods, Deployments, and Services
Scaling and updating applications in Kubernetes
Kubernetes networking and storage
Module 10: Docker Certified Associate Exam Preparation
Overview of the Docker Certified Associate (DCA) exam
Practice questions and mock exams
Exam tips and strategies
Prerequisites:
Basic understanding of Linux operating system
Familiarity with command-line interface (CLI) usage
Prior exposure to software development concepts is beneficial but not required
Course Outline: Kubernetes
Module 1: Introduction to Kubernetes
Containerization concepts overview
Kubernetes architecture and components
Kubernetes API and resources
Module 2: Kubernetes Installation and Configuration
Installing Kubernetes on different platforms (e.g., local, cloud)
Configuring Kubernetes clusters
Kubernetes command-line interface (kubectl) basics
Module 3: Kubernetes Pods and Deployments
Understanding Kubernetes Pods
Deploying applications with Deployments
Managing application updates and rollbacks
Module 4: Kubernetes Services and Networking
Kubernetes networking model overview
Configuring Kubernetes Services
Networking policies and ingress controllers
Module 5: Kubernetes Storage
Persistent storage options in Kubernetes
Configuring storage classes and volumes
Managing storage in Kubernetes clusters
Module 6: Kubernetes Security
Kubernetes RBAC (Role-Based Access Control)
Securing Kubernetes clusters with Network Policies
Secrets management and encryption
Module 7: Kubernetes Cluster Administration
Monitoring and logging in Kubernetes
Resource quotas and limits
Backup and restore strategies for Kubernetes clusters
Module 8: Kubernetes Application Lifecycle Management
Continuous Integration and Continuous Deployment (CI/CD) with Kubernetes
Helm package manager for Kubernetes
GitOps principles and practices
Module 9: Kubernetes Advanced Topics
Autoscaling applications in Kubernetes
Custom Resource Definitions (CRDs) and Operators
Federation and multi-cluster management
Module 10: Certified Kubernetes Administrator (CKA) Exam Preparation
Overview of the Certified Kubernetes Administrator (CKA) exam
Practice exercises and mock exams
Exam tips and strategies
Course Outline: Kubernetes
Course Objectives:
Understand the principles and benefits of Continuous Integration (CI) and Continuous Deployment (CD).
Learn how to set up and configure CI/CD pipelines using popular tools.
Master version control, automated testing, and code quality assurance in CI/CD pipelines.
Explore advanced CI/CD practices such as infrastructure as code and blue-green deployments.
Gain proficiency in monitoring and optimizing CI/CD pipelines for performance and reliability.
Module 1: Introduction to CI/CD
Overview of CI/CD concepts and benefits
CI/CD pipeline stages: build, test, deploy
CI/CD pipeline automation tools and platforms
Module 2: Version Control Systems (VCS)
Introduction to version control with Git
Branching and merging strategies
Git workflows: GitFlow, GitHub Flow
Module 3: CI/CD Pipeline Setup
Setting up CI/CD environments with Jenkins, GitLab CI, or Travis CI
Configuring build agents and runners
Defining pipeline stages and tasks
Module 4: Automated Testing in CI/CD
Introduction to automated testing: unit tests, integration tests, end-to-end tests
Implementing automated testing in CI/CD pipelines
Code coverage analysis and reporting
Module 5: Code Quality Assurance
Code linting and static code analysis
Code review processes and best practices
Integration with code quality tools: SonarQube, Code Climate
Module 6: Continuous Deployment Strategies
Introduction to Continuous Deployment (CD)
Deployment strategies: blue-green deployments, canary releases, rolling deployments
Implementing CD with container orchestration platforms (Kubernetes)
Module 7: Infrastructure as Code (IaC)
Introduction to Infrastructure as Code (IaC) principles
Configuration management tools: Ansible, Terraform
Automating infrastructure provisioning in CI/CD pipelines
Module 8: Monitoring and Optimization
Monitoring CI/CD pipeline performance and reliability
Implementing logging and monitoring solutions
Optimizing CI/CD pipelines for speed and efficiency
Module 9: CI/CD Best Practices
Best practices for designing efficient CI/CD pipelines
Security considerations in CI/CD pipelines
CI/CD pipeline maintenance and troubleshooting
Module 10: Real-world CI/CD Implementation Scenarios
Case studies and examples of CI/CD implementation in different organizations
Challenges and lessons learned from real-world CI/CD projects
Best practices for successful CI/CD adoption and scaling
Prerequisites:
Basic understanding of software development principles and practices
Familiarity with version control systems (
., Git) is recommended
Prior experience with CI/CD tools and practices is beneficial but not required
Target Audience:
Course Outline: AWS
Module 1: Introduction to AWS
Overview of AWS cloud computing services
AWS Global Infrastructure: Regions, Availability Zones, Edge Locations
AWS Well-Architected Framework
Module 2: AWS Compute Services
Amazon EC2: Virtual servers in the cloud
Amazon ECS and EKS: Container orchestration services
AWS Lambda: Serverless computing
Module 3: AWS Storage Services
Amazon S3: Object storage in the cloud
Amazon EBS and EFS: Block and file storage options
AWS Storage Gateway: Hybrid storage integration
Module 4: AWS Networking
Amazon VPC: Virtual Private Cloud
Elastic Load Balancing (ELB) and Amazon Route 53: Load balancing and DNS services
AWS Direct Connect: Dedicated network connection to AWS
Module 5: AWS Database Services
Amazon RDS: Relational Database Service
Amazon DynamoDB: NoSQL database service
Amazon Redshift: Data warehousing solution
Module 6: Security and Identity Management
AWS Identity and Access Management (IAM)
Security best practices in AWS architectures
AWS Key Management Service (KMS) and AWS Certificate Manager (ACM)
Module 7: AWS Cost Optimization
Understanding AWS pricing models
Cost allocation and tagging strategies
Optimizing AWS resources for cost efficiency
Module 8: High Availability and Fault Tolerance
Designing highly available architectures on AWS
Multi-region and multi-AZ architectures
Disaster recovery planning and implementation
Module 9: Performance Optimization
Monitoring and performance tuning in AWS
AWS CloudWatch and AWS Trusted Advisor
Optimizing performance for scalability and responsiveness
Module 10: AWS Solutions Architect Professional Exam Preparation