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About Developer

Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

If you enjoy my work, please consider supporting me on platforms like Patreon or subscribing to my YouTube channel. I am also open to job opportunities and collaborations in software development. Let's build something amazing together!

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    infor@spinncode.com
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    Nairobi, Kenya
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7 Months ago | 53 views

**Course Title:** Cloud Platforms: Foundations and Applications **Section Title:** Cloud Service Models **Topic:** Deploy a virtual machine using IaaS and a simple application using PaaS.(Lab topic) **Introduction** In this lab topic, we will guide you through the process of deploying a virtual machine using Infrastructure as a Service (IaaS) and a simple application using Platform as a Service (PaaS). This hands-on experience will help you understand the concepts of IaaS and PaaS, which were covered in previous topics. **Objective** By the end of this lab, you will be able to: * Deploy a virtual machine using IaaS * Deploy a simple application using PaaS * Understand the difference between IaaS and PaaS **Lab Environment** For this lab, we will be using Amazon Web Services (AWS) as our cloud provider. You will need to create an AWS account if you haven't already. You can sign up for a free tier account using the following link: https://aws.amazon.com/free/ **Deploying a Virtual Machine using IaaS** IaaS provides you with virtualized computing resources, such as virtual machines (VMs). In this section, we will deploy a VM using AWS. **Step 1: Launch an EC2 Instance** * Log in to your AWS management console. * Navigate to the EC2 dashboard. * Click on "Launch Instance" and choose your desired operating system (e.g., Ubuntu). * Choose the instance type (e.g., t2.micro) and click "Next: Configure Instance Details". * Configure your instance details (e.g., number of instances, instance type, tenancy) and click "Next: Add Storage". * Configure your storage (e.g., add a new volume) and click "Next: Add Tags". * Add tags to your instance (e.g., name, environment) and click "Next: Configure Security Group". * Configure your security group (e.g., add a new rule for SSH) and click "Review and Launch". * Review your instance details and click "Launch". **Step 2: Connect to Your EC2 Instance** * Go to the EC2 dashboard and select your instance. * Click on "Actions" and select "Connect to instance". * Choose the connection method (e.g., SSH) and click "Connect". * You will see a connection dialog with instructions on how to connect to your instance. **Deploying a Simple Application using PaaS** PaaS provides you with a platform for developing, running, and managing applications without worrying about the underlying infrastructure. In this section, we will deploy a simple Node.js application using AWS Elastic Beanstalk. **Step 1: Create an Elastic Beanstalk Environment** * Log in to your AWS management console. * Navigate to the Elastic Beanstalk dashboard. * Click on "Create environment" and choose "Web server environment". * Choose your platform (e.g., Node.js) and configure your environment details. * Click "Create environment" to create your environment. **Step 2: Deploy Your Application** * Clone or create a new Node.js project (e.g., a simple "Hello World" application). * Initialize a new Git repository and commit your code. * Go back to the Elastic Beanstalk dashboard and select your environment. * Click on "Upload and deploy" and upload your code. * Click "Deploy" to deploy your application. **Conclusion** In this lab, you deployed a virtual machine using IaaS and a simple application using PaaS. You have seen firsthand the difference between IaaS and PaaS, and how each service model can be used to deploy different types of applications. **Practical Takeaways** * IaaS provides you with virtualized computing resources, such as virtual machines. * PaaS provides you with a platform for developing, running, and managing applications without worrying about the underlying infrastructure. * Each service model has its own strengths and weaknesses, and choosing the right model depends on your application's needs. **Lab Exercises** * Deploy a virtual machine using IaaS and experiment with different instance types and security groups. * Deploy a simple application using PaaS and experiment with different platforms and configuration options. **Resources** * AWS Documentation: https://aws.amazon.com/documentation/ * Elastic Beanstalk Documentation: https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/Welcome.html **Leave a comment or ask for help** If you have any questions or need help with this lab, please leave a comment below.
Course
Cloud Computing
AWS
Azure
Google Cloud
IaaS/PaaS/SaaS

Deploying Virtual Machines and Applications using IaaS and PaaS

**Course Title:** Cloud Platforms: Foundations and Applications **Section Title:** Cloud Service Models **Topic:** Deploy a virtual machine using IaaS and a simple application using PaaS.(Lab topic) **Introduction** In this lab topic, we will guide you through the process of deploying a virtual machine using Infrastructure as a Service (IaaS) and a simple application using Platform as a Service (PaaS). This hands-on experience will help you understand the concepts of IaaS and PaaS, which were covered in previous topics. **Objective** By the end of this lab, you will be able to: * Deploy a virtual machine using IaaS * Deploy a simple application using PaaS * Understand the difference between IaaS and PaaS **Lab Environment** For this lab, we will be using Amazon Web Services (AWS) as our cloud provider. You will need to create an AWS account if you haven't already. You can sign up for a free tier account using the following link: https://aws.amazon.com/free/ **Deploying a Virtual Machine using IaaS** IaaS provides you with virtualized computing resources, such as virtual machines (VMs). In this section, we will deploy a VM using AWS. **Step 1: Launch an EC2 Instance** * Log in to your AWS management console. * Navigate to the EC2 dashboard. * Click on "Launch Instance" and choose your desired operating system (e.g., Ubuntu). * Choose the instance type (e.g., t2.micro) and click "Next: Configure Instance Details". * Configure your instance details (e.g., number of instances, instance type, tenancy) and click "Next: Add Storage". * Configure your storage (e.g., add a new volume) and click "Next: Add Tags". * Add tags to your instance (e.g., name, environment) and click "Next: Configure Security Group". * Configure your security group (e.g., add a new rule for SSH) and click "Review and Launch". * Review your instance details and click "Launch". **Step 2: Connect to Your EC2 Instance** * Go to the EC2 dashboard and select your instance. * Click on "Actions" and select "Connect to instance". * Choose the connection method (e.g., SSH) and click "Connect". * You will see a connection dialog with instructions on how to connect to your instance. **Deploying a Simple Application using PaaS** PaaS provides you with a platform for developing, running, and managing applications without worrying about the underlying infrastructure. In this section, we will deploy a simple Node.js application using AWS Elastic Beanstalk. **Step 1: Create an Elastic Beanstalk Environment** * Log in to your AWS management console. * Navigate to the Elastic Beanstalk dashboard. * Click on "Create environment" and choose "Web server environment". * Choose your platform (e.g., Node.js) and configure your environment details. * Click "Create environment" to create your environment. **Step 2: Deploy Your Application** * Clone or create a new Node.js project (e.g., a simple "Hello World" application). * Initialize a new Git repository and commit your code. * Go back to the Elastic Beanstalk dashboard and select your environment. * Click on "Upload and deploy" and upload your code. * Click "Deploy" to deploy your application. **Conclusion** In this lab, you deployed a virtual machine using IaaS and a simple application using PaaS. You have seen firsthand the difference between IaaS and PaaS, and how each service model can be used to deploy different types of applications. **Practical Takeaways** * IaaS provides you with virtualized computing resources, such as virtual machines. * PaaS provides you with a platform for developing, running, and managing applications without worrying about the underlying infrastructure. * Each service model has its own strengths and weaknesses, and choosing the right model depends on your application's needs. **Lab Exercises** * Deploy a virtual machine using IaaS and experiment with different instance types and security groups. * Deploy a simple application using PaaS and experiment with different platforms and configuration options. **Resources** * AWS Documentation: https://aws.amazon.com/documentation/ * Elastic Beanstalk Documentation: https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/Welcome.html **Leave a comment or ask for help** If you have any questions or need help with this lab, please leave a comment below.

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Cloud Platforms: Foundations and Applications

Course

Objectives

  • Understand the fundamental concepts of cloud computing.
  • Explore major cloud service models (IaaS, PaaS, SaaS) and their applications.
  • Gain hands-on experience with leading cloud platforms such as AWS, Azure, and Google Cloud.
  • Learn about cloud architecture, security, and best practices for deployment.

Introduction to Cloud Computing

  • What is cloud computing?
  • History and evolution of cloud services.
  • Benefits and challenges of cloud adoption.
  • Overview of different deployment models: Public, Private, Hybrid.
  • Lab: Set up a cloud account (AWS, Azure, or Google Cloud) and explore the management console.

Cloud Service Models

  • Infrastructure as a Service (IaaS): Overview and use cases.
  • Platform as a Service (PaaS): Overview and use cases.
  • Software as a Service (SaaS): Overview and use cases.
  • Comparing service models and selecting the right model for applications.
  • Lab: Deploy a virtual machine using IaaS and a simple application using PaaS.

Cloud Architecture and Design

  • Understanding cloud architecture principles.
  • Designing scalable and resilient cloud solutions.
  • Microservices architecture and containerization.
  • Serverless architecture: Concepts and applications.
  • Lab: Design a basic cloud architecture diagram for a sample application.

Cloud Storage Solutions

  • Types of cloud storage: Object, Block, File storage.
  • Understanding data redundancy and availability.
  • Using cloud storage services: AWS S3, Azure Blob Storage, Google Cloud Storage.
  • Data lifecycle management and cost optimization.
  • Lab: Upload and manage files in a cloud storage service and set up lifecycle rules.

Networking in the Cloud

  • Understanding cloud networking basics.
  • Virtual Private Cloud (VPC) and subnets.
  • Load balancing and auto-scaling.
  • DNS and content delivery networks (CDNs).
  • Lab: Set up a VPC with subnets, and configure a load balancer for a web application.

Cloud Security Best Practices

  • Overview of cloud security fundamentals.
  • Identity and Access Management (IAM).
  • Data encryption and secure data transfer.
  • Compliance and regulatory considerations.
  • Lab: Implement IAM policies and encryption for cloud resources.

Monitoring and Performance Management

  • Monitoring cloud resources and applications.
  • Using cloud-native monitoring tools: AWS CloudWatch, Azure Monitor, Google Stackdriver.
  • Performance tuning and optimization strategies.
  • Understanding billing and cost management.
  • Lab: Set up monitoring for cloud resources and analyze performance metrics.

DevOps and CI/CD in the Cloud

  • Introduction to DevOps practices.
  • Continuous Integration and Continuous Deployment (CI/CD) concepts.
  • Using cloud services for CI/CD: AWS CodePipeline, Azure DevOps, Google Cloud Build.
  • Infrastructure as Code (IaC) with tools like Terraform and CloudFormation.
  • Lab: Create a simple CI/CD pipeline for deploying an application in the cloud.

Building Serverless Applications

  • Understanding serverless computing concepts.
  • Using AWS Lambda, Azure Functions, or Google Cloud Functions.
  • Event-driven architecture and triggers.
  • Best practices for serverless application design.
  • Lab: Build a serverless application using AWS Lambda and API Gateway.

Advanced Cloud Services and Use Cases

  • Exploring machine learning services in the cloud.
  • Using data analytics tools and services.
  • Introduction to IoT and cloud integration.
  • Case studies of cloud applications in different industries.
  • Lab: Use a cloud ML service to analyze data and generate predictions.

Disaster Recovery and Business Continuity

  • Understanding disaster recovery concepts.
  • Designing a cloud disaster recovery plan.
  • Data backup strategies in the cloud.
  • Testing and validating recovery plans.
  • Lab: Create a disaster recovery plan for a cloud application and perform a test restore.

Final Project and Course Review

  • Review of key concepts and technologies covered in the course.
  • Best practices for cloud architecture and deployment.
  • Project presentations: Demonstrating learned skills through a capstone project.
  • Lab: Complete the final project and prepare for presentation.

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