
Mastering DevOps with Anil Dollor 2026
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: Hindi | Duration: 57h 20m | Size: 36.85 GB
2026 DevOps Excellence: A Course with Anil Dollor
What you'll learn
Expertize in Linux Adminstration
Student will learn Docker indepth
Student will learn AWS Services
Student will learn to create CI/CD pipeline using jenkins, bamboo and gitLabs
Student will learn the SQL to work with RDBMS Databases
Requirements
No DevOps and Linux Administration Skill is required
Description
Module 1: Introduction to DevOps
- Understanding DevOps
- History and Evolution of DevOps
- DevOps Principles and Goals
- Benefits and Business Value of DevOps
Module 2: Version Control and Collaboration
- Git and GitHub
- Branching and Merging Strategies
- Code Review and Collaboration
- Git Workflows (e.g., GitFlow)
Module 3: Continuous Integration (CI)
- Introduction to CI/CD
- Jenkins or other CI/CD tools
- Creating and Configuring CI Pipelines
- Automated Testing in CI
Module 4: Continuous Deployment (CD)
- CD Principles
- Deployment Strategies (e.g., Blue-Green, Canary)
- Deployment Automation
- Managing Configuration and Secrets
Module 5: Containerization and Orchestration
- Introduction to Containers (Docker)
- Docker Compose
- Kubernetes Basics
- Managing Containers with Kubernetes
Module 6: Infrastructure as Code (IaC)
- Introduction to IaC
- Tools like Terraform and Ansible
- Writing IaC Scripts
- Provisioning and Managing Cloud Resources
Module 7: Monitoring and Logging
- Importance of Monitoring
- Metrics, Logs, and Tracing
- Tools like Prometheus and Grafana
- Creating Dashboards and Alerts
Module 8: Security in DevOps
- DevSecOps Principles
- Security Scanning and Testing
- Secure Coding Practices
- Compliance and Governance
Module 9: DevOps Culture and Collaboration
- Building a DevOps Culture
- Team Collaboration and Communication
- DevOps Roles and Responsibilities
- Measuring Success and Continuous Improvement
Module 10: Advanced DevOps Topics (Optional)
- Serverless Computing
- Microservices Architecture
- DevOps for Data Science
- DevOps in a Multi-Cloud Environment
Module 11: Case Studies and Best Practices
- Real-world DevOps Success Stories
- Best Practices and Lessons Learned
- Case Study Analysis and Discussions
Module 12: Final Projects and Practical Implementation
- Students work on hands-on projects applying DevOps principles
- Building CI/CD pipelines
- Deploying applications to a cloud environment
- Troubleshooting and optimization
Module 13: Exam and Certification (if applicable)
- Assessing knowledge and skills acquired during the course
Module 14: Wrap-Up and Future Trends
- Recap of Key Concepts
- Emerging Trends in DevOps
- Preparing for Career Advancement
Who this course is for
Suituable for Software engineers who wants to gain expertise on Linux and DevOps Techniques
Homepage
https://www.udemy.com/course/mastering-devops-with-anil-dollor-2026

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