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DevOps with Multi Cloud

Teacher
Mr. Sumanth
Review

Overview
Instructor

Course Summary

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.

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.

Requirements

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.

Mr Mohan

Teacher

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.