Introduction to Cloud Computing

Categories: AWS, Cloud Computing
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About Course

  • Prerequisites to Learn Cloud Computing.
  • Introduction to cloud computing concepts of Amazon Web Services Cloud Platform.
  • This course is designed specifically for those who are new to cloud computing and want to gain a basic understanding of the key concepts and terminology.
  • It’s a great option if you’re looking for a quick and easy way to get up to speed on cloud computing basics.
  • Official certifications and certification path offered by AWS cloud providers.

 

What Will You Learn?

  • Prerequisites to Learn Cloud Computing
  • Fundamentals of Server Hardware
  • Fundamentals of Networking
  • Virtualization Fundamentals
  • Everything you need to know to start with AWS
  • What is Cloud Computing?
  • Amazon Web Services Fundamentals
  • AWS Authentication and Access Control
  • AWS Compute Services
  • AWS Storage Services
  • DNS, Elastic Load Balancing, and Auto Scaling
  • Application Services
  • Amazon VPC, Networking, and Hybrid
  • Deployment and Automation
  • Databases and Analytics
  • Management and Governance
  • AWS Cloud Security and Identity
  • Architectural Case Study on AWS
  • Career path in Cloud and DevOps

Course Content

Let’s Get Started!
Welcome to Day One of our Cloud Training! Today, we’ll embark on an exciting journey into the world of cloud computing, focusing on AWS. We’ll cover the fundamental concepts, explore key services, and understand the benefits of cloud technology. Whether you're new to the field or looking to enhance your skills, this training will equip you with the knowledge and tools to succeed in a rapidly evolving landscape. Let’s dive in and unlock the potential of the cloud together!

  • Course Navigation
  • Introduction

Introduction to Cloud Computing
Cloud computing is the delivery of computing services over the internet, enabling on-demand access to resources such as servers, storage, databases, and software. It offers flexibility, scalability, and cost-efficiency, allowing businesses and individuals to innovate without the need for extensive physical infrastructure. Key models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). As organizations increasingly adopt cloud solutions, understanding the fundamentals of cloud computing is essential for leveraging its benefits effectively.

Prerequisites to Learn Cloud Computing
Prerequisites to Learn Cloud Computing To effectively learn cloud computing, it's helpful to have a basic understanding of networking concepts, operating systems, and virtualization. Familiarity with programming or scripting languages can also be beneficial, as it aids in automation and development tasks. Additionally, a willingness to explore new technologies and a problem-solving mindset will enhance your learning experience. No prior cloud experience is necessary, but a curious and proactive approach will help you succeed!

Fundamentals of Server Hardware
The fundamentals of server hardware encompass the essential components and architecture that power data processing and storage in a server environment. Key elements include the central processing unit (CPU), memory (RAM), storage devices (HDDs and SSDs), and network interfaces. Understanding how these components work together helps optimize server performance, reliability, and scalability

Fundamentals of Networking
The fundamentals of networking cover the principles and technologies that enable communication between devices within a network. Key topics include the OSI and TCP/IP models, network topologies, protocols (such as HTTP, FTP, and DNS), and IP addressing. Understanding concepts like routers, switches, and firewalls is essential for designing and managing networks. A solid grasp of networking fundamentals is crucial for troubleshooting connectivity issues and implementing secure, efficient network solutions in cloud computing and enterprise environments.

Fundamentals Virtualization
Virtualization fundamentals involve creating virtual versions of physical resources, such as servers, storage, and networks. This technology allows multiple virtual machines (VMs) to run on a single physical server, optimizing resource utilization and enhancing scalability. Key concepts include hypervisors, which manage VMs, and different virtualization types (e.g., full, para, and hardware-assisted). Understanding virtualization is crucial for efficient cloud computing, as it enables flexibility, cost savings, and improved disaster recovery by decoupling software from hardware.

AWS Authentication and Access Control
AWS Authentication and Access Control manage user identities and permissions within the AWS ecosystem. **Authentication** verifies the identity of users and applications, typically through AWS Identity and Access Management (IAM), which supports multi-factor authentication (MFA) for enhanced security. **Access Control** defines what authenticated users can do, utilizing IAM policies that grant or restrict permissions to AWS resources. This layered approach ensures that only authorized users can access sensitive data and perform actions, helping to maintain a secure cloud environment.

AWS Compute Services
AWS Compute Services provide scalable processing power to run applications and manage workloads in the cloud. Key offerings include: Amazon EC2 (Elastic Compute Cloud) AWS Lambda Amazon ECS (Elastic Container Service) Amazon EKS (Elastic Kubernetes Service)

AWS Storage Services
AWS Storage Services offer scalable, secure, and durable solutions for storing and managing data in the cloud. Key services include: 1.Amazon S3 (Simple Storage Service) 2.Amazon EBS (Elastic Block Store) 3.Amazon EFS (Elastic File System) 4.Amazon Glacier

DNS, Elastic Load Balancing, and Auto Scaling
DNS, Elastic Load Balancing, and Auto Scaling are essential components for managing application availability and performance in AWS. DNS (Domain Name System) translates human-readable domain names into IP addresses, enabling users to access applications easily. Elastic Load Balancing automatically distributes incoming traffic across multiple targets, such as EC2 instances, to ensure even load distribution and enhance fault tolerance. Auto Scaling dynamically adjusts the number of active instances based on demand, allowing applications to maintain performance during traffic fluctuations while optimizing costs. Together, these services ensure that applications are resilient, scalable, and responsive to user needs.

Application Services
Serverless Services and Event-Driven Architecture Application Integration Services Amazon EventBridge / CloudWatch Events Amazon API Gateway

Amazon VPC, Networking, and Hybrid
Amazon VPC (Virtual Private Cloud) is a service that enables users to create a private network within the AWS cloud, allowing for customized network configurations, including IP address ranges, subnets, and routing tables. It provides enhanced security and control over your cloud resources. Networking services in AWS facilitate communication between VPCs and other resources, including VPN connections and Direct Connect, which allow for secure, low-latency connections to on-premises data centers. The hybrid cloud model combines on-premises infrastructure with cloud resources, enabling seamless integration and resource sharing between local and cloud environments. Together, these technologies offer flexibility, security, and scalability for modern applications.

Databases and Analytics
AWS offers a range of database and analytics services that enable organizations to store, manage, and analyze data efficiently. Database services include Amazon RDS (Relational Database Service) for managed relational databases, Amazon DynamoDB for fully managed NoSQL databases, and Amazon Aurora for high-performance, scalable relational databases. For analytics, AWS provides services like Amazon Redshift, a fast data warehousing solution, and Amazon Athena, which allows for querying data directly in S3 using SQL. These tools empower businesses to derive insights from their data, support complex queries, and scale according to their needs, all while minimizing administrative overhead.

Deployment and Automation
AWS provides powerful deployment and automation tools to streamline application management and infrastructure provisioning. AWS CloudFormation allows users to define and provision AWS infrastructure as code, enabling consistent and repeatable deployments. AWS Elastic Beanstalk simplifies application deployment by automatically handling the underlying infrastructure, scaling, and monitoring. Additionally, AWS CodePipeline orchestrates continuous integration and continuous delivery (CI/CD) processes, facilitating automated application updates and deployments. Together, these services enhance operational efficiency, reduce manual effort, and ensure reliable and rapid application delivery in the cloud.

AWS Cloud Security and Identity
AWS Cloud Security and Identity services focus on safeguarding your data and managing user access within the AWS ecosystem. AWS Identity and Access Management (IAM) allows you to create and manage AWS users and groups, setting permissions that control access to resources. Multi-Factor Authentication (MFA) adds an extra layer of security by requiring a second form of verification. Additionally, AWS Key Management Service (KMS) enables the creation and control of encryption keys for data protection. With tools like AWS CloudTrail, you can monitor and log account activity for security auditing and compliance. Together, these services provide a robust framework for protecting your cloud environment and ensuring secure access to resources.

Migration, Machine Learning and More
AWS offers a comprehensive suite of services for migration, machine learning, and additional functionalities that enhance cloud capabilities. Migration services, such as AWS Migration Hub and AWS Database Migration Service, facilitate seamless transitions from on-premises environments to the cloud, minimizing downtime and ensuring data integrity. In the realm of machine learning, AWS provides tools like Amazon SageMaker, which enables developers to build, train, and deploy machine learning models quickly and efficiently, without deep expertise in data science. Furthermore, AWS offers a variety of other services, including IoT, analytics, and serverless computing, empowering organizations to innovate and scale rapidly. Together, these capabilities support diverse workloads and drive digital transformation across industries.

Architectural Case Study on AWS

Course Completion Congratulations!
Course Completion Congratulations! Congratulations! You have successfully completed the course! 🎉 Your dedication and hard work have paid off, and you are now equipped with valuable knowledge in cloud computing and AWS. We hope you feel empowered to apply what you’ve learned and continue your journey in the cloud. Thank you for being a part of this learning experience, and best of luck in your future endeavors!

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