Cloud Server Management AWS, Azure, and Google Cloud for Scalability
Explore Cloud Server Management with AWS, Azure, and Google Cloud. Learn to manage cloud infrastructure, optimize scalability, and implement best practices for performance, security, and cost-efficiency in cloud-based environments.
This comprehensive course will guide you through Cloud Server Management, focusing on hosting, scalability, and optimization using AWS, Azure, and Google Cloud. You’ll begin by learning how to configure virtual machines and deploy applications on cloud platforms. You’ll also explore best practices for managing cloud environments, ensuring cost-efficiency, performance optimization, and minimal downtime.
What Will You Learn?
This course will teach you the core concepts of Cloud Server Management, focusing on hosting, scalability, and optimization using AWS, Azure, and Google Cloud. By the end of this course, you’ll be equipped to deploy and manage cloud-based applications, optimize cloud environments, and ensure secure, scalable cloud infrastructure.
Set up and manage virtual machines and cloud instances on AWS, Azure, and Google Cloud.
Deploy web applications with cloud-based load balancing, auto-scaling, and CDN services.
Configure cloud security features, including identity and access management (IAM) and firewalls.
Manage cloud databases and storage solutions for efficient data handling.
Implement automated backups and disaster recovery plans for cloud environments.
Monitor cloud resources for performance optimization and cost-efficiency.
Leverage Infrastructure as Code (IaC) tools like Terraform for automated cloud provisioning.
Requirements
This course is designed for beginners who want to learn Cloud Server Management with a focus on AWS, Azure, and Google Cloud for scalability. While prior experience with cloud platforms is not required, a basic understanding of web development, operating systems, and networking will help you get the most out of this course.
Basic knowledge of operating systems (Linux/Unix preferred).
amiliarity with cloud concepts (virtual machines, storage, and security groups) is a plus.
A text editor or IDE (e.g., Visual Studio Code, Nano, or Vim).
A willingness to learn and experiment with cloud platforms and management tools.
No prior experience with AWS, Azure, Google Cloud, or cloud automation is required.
Module 1: Introduction to Cloud Computing & Server Management
Learn the fundamental concepts of cloud computing, including the differences between cloud and on-premise servers. Explore various cloud deployment models and gain an overview of the three leading cloud platforms: AWS, Microsoft Azure, and Google Cloud.
Module 2: Setting Up Cloud Servers (Compute Services)
In this module, you will learn how to set up and configure cloud servers using popular compute services across AWS, Azure, and Google Cloud. You will explore how to deploy virtual machines, manage server storage, and optimize network configurations. The module will also cover autoscaling and load balancing to ensure server performance and availability during peak loads.
Module 3: Networking & Security in Cloud Servers
This module covers cloud networking principles and security best practices to protect your cloud resources. You will learn to configure virtual private clouds (VPCs), set up firewalls, manage DNS, and implement VPNs for secure access. You will also dive into cloud-native tools for managing network security across AWS, Azure, and Google Cloud environments.
Module 4: Storage & Database Management in Cloud
In this module, you will learn how to manage cloud storage and databases efficiently. You will explore storage services like AWS S3, Azure Blob Storage, and Google Cloud Storage. Additionally, the module will cover database services such as RDS, Azure SQL, and Cloud SQL, focusing on performance optimization, backups, and disaster recovery to ensure data availability and security.
Module 5: Cloud Security & Identity Management
This module focuses on securing cloud environments using identity and access management (IAM) solutions. You will learn how to configure user roles, permissions, and access control policies to protect sensitive data. You will also explore advanced security techniques, including data encryption, managing security keys, and integrating identity protection mechanisms across AWS, Azure, and Google Cloud.
Module 6: Automation & DevOps in Cloud
This module introduces automation and DevOps practices for cloud server management. You will learn how to implement Infrastructure as Code (IaC) using tools like Terraform and CloudFormation to automate cloud infrastructure. The module will also cover CI/CD pipelines for automating deployments and explore serverless computing options, such as AWS Lambda, Azure Functions, and Google Cloud Functions.
Module 7: Monitoring & Performance Optimization
In this module, you will learn how to monitor cloud server performance and log activities using tools like AWS CloudWatch, Azure Monitor, and Google Stackdriver. You will explore performance optimization techniques, including autoscaling and cost management strategies, to ensure efficient resource allocation and maintain high availability.
Module 8: Hybrid & Multi-Cloud Server Management
This module explores hybrid and multi-cloud environments, teaching you how to integrate on-premise servers with cloud platforms. You will also learn how to use Kubernetes services like AWS EKS, Azure AKS, and Google Cloud GKE to manage multi-cloud server setups. The module concludes with best practices for hybrid cloud security and cost optimization.
Hands-On Projects
✅ Deploy a Web Server on AWS EC2, Azure VM, and Google Compute Engine
✅ Configure Cloud Security Policies & IAM Roles
✅ Set Up Auto-Scaling & Load Balancing
✅ Implement Serverless Functions for Automation
