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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.

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    infor@spinncode.com
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    Nairobi, Kenya
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7 Months ago | 48 views

**Course Title:** Cloud Platforms: Foundations and Applications **Section Title:** Final Project and Course Review **Topic:** Review of key concepts and technologies covered in the course **Introduction:** As we approach the end of the Cloud Platforms: Foundations and Applications course, it's essential to review the key concepts and technologies covered throughout the course. This review will help solidify your understanding of cloud computing and its applications, ensuring you're well-prepared for the final project and future endeavors in the field. **Cloud Computing Fundamentals:** We began by exploring the basics of cloud computing, including its history, evolution, benefits, and challenges. We discussed the various deployment models, such as public, private, and hybrid clouds, and the importance of selecting the right deployment model for specific use cases. For a more in-depth look at cloud computing fundamentals, refer to the following resources: * National Institute of Standards and Technology (NIST) Cloud Computing Reference Architecture [https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.500-299.pdf](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.500-299.pdf) * Cloud Security Alliance (CSA) Security Guidance for Cloud Computing [https://cloudsecurityalliance.org/artifacts/security-guidance-for-cloud-computing-v5-0/](https://cloudsecurityalliance.org/artifacts/security-guidance-for-cloud-computing-v5-0/) **Cloud Service Models:** We covered the three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Each service model offers unique benefits and is suited for specific use cases. For more information on cloud service models, visit the following websites: * AWS service models [https://aws.amazon.com/types-of-cloud-computing/](https://aws.amazon.com/types-of-cloud-computing/) * Microsoft Azure service models [https://azure.microsoft.com/en-us/overview/service-models/](https://azure.microsoft.com/en-us/overview/service-models/) * Google Cloud service models [https://cloud.google.com/docs/overview/service-models](https://cloud.google.com/docs/overview/service-models) **Cloud Architecture and Design:** We explored the principles of cloud architecture and design, including scalability, resilience, and security. We also discussed microservices architecture, containerization, and serverless architecture. For additional resources on cloud architecture and design, refer to the following resources: * AWS Well-Architected Framework [https://aws.amazon.com/well-architected-tool/](https://aws.amazon.com/well-architected-tool/) * Microsoft Azure Architecture Style Guide [https://docs.microsoft.com/en-us/azure/architecture/guide/](https://docs.microsoft.com/en-us/azure/architecture/guide/) * Google Cloud Architecture Center [https://cloud.google.com/docs/architecture](https://cloud.google.com/docs/architecture) **Cloud Storage Solutions:** We discussed the various cloud storage options, including object, block, and file storage. We also covered data redundancy, availability, and lifecycle management. For more information on cloud storage solutions, visit the following websites: * AWS Storage Options [https://aws.amazon.com/storage_Options/](https://aws.amazon.com/storage_Options/) * Microsoft Azure Storage [https://azure.microsoft.com/en-us/services/storage/](https://azure.microsoft.com/en-us/services/storage/) * Google Cloud Storage [https://cloud.google.com/docs/storage](https://cloud.google.com/docs/storage) **Cloud Networking and Security:** We explored the basics of cloud networking, including VPCs, subnets, and security groups. We also discussed the importance of identity and access management, data encryption, and compliance. For additional resources on cloud networking and security, refer to the following resources: * AWS Networking and Security [https://aws.amazon.com/products/networking-security/](https://aws.amazon.com/products/networking-security/) * Microsoft Azure Networking and Security [https://azure.microsoft.com/en-us/services/networking-security/](https://azure.microsoft.com/en-us/services/networking-security/) * Google Cloud Networking and Security [https://cloud.google.com/docs/networking-security](https://cloud.google.com/docs/networking-security) **Monitoring, Performance Management, and DevOps:** We covered the importance of monitoring and performance management in the cloud, including metrics, logging, and alerting. We also discussed the principles of DevOps, including continuous integration and continuous deployment (CI/CD). For more information on monitoring, performance management, and DevOps, visit the following websites: * AWS Monitoring and Performance [https://aws.amazon.com/products/monitoring-performance/](https://aws.amazon.com/products/monitoring-performance/) * Microsoft Azure Monitoring and DevOps [https://azure.microsoft.com/en-us/services/monitoring-devops/](https://azure.microsoft.com/en-us/services/monitoring-devops/) * Google Cloud Monitoring and DevOps [https://cloud.google.com/docs/monitoring-devops](https://cloud.google.com/docs/monitoring-devops) **Serverless Computing and Advanced Cloud Services:** We explored the concepts of serverless computing and advanced cloud services, including machine learning, data analytics, and IoT. For additional resources on serverless computing and advanced cloud services, refer to the following resources: * AWS Lambda and Serverless Computing [https://aws.amazon.com/lambda/](https://aws.amazon.com/lambda/) * Microsoft Azure Functions and Serverless Computing [https://azure.microsoft.com/en-us/services/functions/](https://azure.microsoft.com/en-us/services/functions/) * Google Cloud Functions and Serverless Computing [https://cloud.google.com/docs/functions](https://cloud.google.com/docs/functions) **Conclusion:** This review of key concepts and technologies covered in the Cloud Platforms: Foundations and Applications course should provide you with a solid foundation for your future endeavors in cloud computing. As you move forward, remember to stay up-to-date with the latest developments in the field and continually apply what you've learned to real-world scenarios. **Practice Exercise:** 1. Review the course materials and create a mind map or concept map of the key concepts and technologies covered. 2. Identify the most important takeaways from the course and create a list of "best practices" for cloud computing. 3. Research and write a short paper on a specific topic or technology discussed in the course, such as serverless computing or machine learning. **Additional Resources:** * Cloud Computing Weekly Newsletter [https://cloudcomputingweekly.com/newsletter/](https://cloudcomputingweekly.com/newsletter/) * Cloud Tech News [https://cloudtechnews.com/](https://cloudtechnews.com/) * The Cloud Council [https://www.cloudcouncil.org/](https://www.cloudcouncil.org/) **Leave a comment or ask for help:** If you have any questions or comments regarding the course material, please leave a comment below. If you're struggling with a specific concept or technology, feel free to ask for help. **Next Topic:** Our next topic will be "Best practices for cloud architecture and deployment."
Course
Cloud Computing
AWS
Azure
Google Cloud
IaaS/PaaS/SaaS

Course Review: Cloud Platforms and Applications

**Course Title:** Cloud Platforms: Foundations and Applications **Section Title:** Final Project and Course Review **Topic:** Review of key concepts and technologies covered in the course **Introduction:** As we approach the end of the Cloud Platforms: Foundations and Applications course, it's essential to review the key concepts and technologies covered throughout the course. This review will help solidify your understanding of cloud computing and its applications, ensuring you're well-prepared for the final project and future endeavors in the field. **Cloud Computing Fundamentals:** We began by exploring the basics of cloud computing, including its history, evolution, benefits, and challenges. We discussed the various deployment models, such as public, private, and hybrid clouds, and the importance of selecting the right deployment model for specific use cases. For a more in-depth look at cloud computing fundamentals, refer to the following resources: * National Institute of Standards and Technology (NIST) Cloud Computing Reference Architecture [https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.500-299.pdf](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.500-299.pdf) * Cloud Security Alliance (CSA) Security Guidance for Cloud Computing [https://cloudsecurityalliance.org/artifacts/security-guidance-for-cloud-computing-v5-0/](https://cloudsecurityalliance.org/artifacts/security-guidance-for-cloud-computing-v5-0/) **Cloud Service Models:** We covered the three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Each service model offers unique benefits and is suited for specific use cases. For more information on cloud service models, visit the following websites: * AWS service models [https://aws.amazon.com/types-of-cloud-computing/](https://aws.amazon.com/types-of-cloud-computing/) * Microsoft Azure service models [https://azure.microsoft.com/en-us/overview/service-models/](https://azure.microsoft.com/en-us/overview/service-models/) * Google Cloud service models [https://cloud.google.com/docs/overview/service-models](https://cloud.google.com/docs/overview/service-models) **Cloud Architecture and Design:** We explored the principles of cloud architecture and design, including scalability, resilience, and security. We also discussed microservices architecture, containerization, and serverless architecture. For additional resources on cloud architecture and design, refer to the following resources: * AWS Well-Architected Framework [https://aws.amazon.com/well-architected-tool/](https://aws.amazon.com/well-architected-tool/) * Microsoft Azure Architecture Style Guide [https://docs.microsoft.com/en-us/azure/architecture/guide/](https://docs.microsoft.com/en-us/azure/architecture/guide/) * Google Cloud Architecture Center [https://cloud.google.com/docs/architecture](https://cloud.google.com/docs/architecture) **Cloud Storage Solutions:** We discussed the various cloud storage options, including object, block, and file storage. We also covered data redundancy, availability, and lifecycle management. For more information on cloud storage solutions, visit the following websites: * AWS Storage Options [https://aws.amazon.com/storage_Options/](https://aws.amazon.com/storage_Options/) * Microsoft Azure Storage [https://azure.microsoft.com/en-us/services/storage/](https://azure.microsoft.com/en-us/services/storage/) * Google Cloud Storage [https://cloud.google.com/docs/storage](https://cloud.google.com/docs/storage) **Cloud Networking and Security:** We explored the basics of cloud networking, including VPCs, subnets, and security groups. We also discussed the importance of identity and access management, data encryption, and compliance. For additional resources on cloud networking and security, refer to the following resources: * AWS Networking and Security [https://aws.amazon.com/products/networking-security/](https://aws.amazon.com/products/networking-security/) * Microsoft Azure Networking and Security [https://azure.microsoft.com/en-us/services/networking-security/](https://azure.microsoft.com/en-us/services/networking-security/) * Google Cloud Networking and Security [https://cloud.google.com/docs/networking-security](https://cloud.google.com/docs/networking-security) **Monitoring, Performance Management, and DevOps:** We covered the importance of monitoring and performance management in the cloud, including metrics, logging, and alerting. We also discussed the principles of DevOps, including continuous integration and continuous deployment (CI/CD). For more information on monitoring, performance management, and DevOps, visit the following websites: * AWS Monitoring and Performance [https://aws.amazon.com/products/monitoring-performance/](https://aws.amazon.com/products/monitoring-performance/) * Microsoft Azure Monitoring and DevOps [https://azure.microsoft.com/en-us/services/monitoring-devops/](https://azure.microsoft.com/en-us/services/monitoring-devops/) * Google Cloud Monitoring and DevOps [https://cloud.google.com/docs/monitoring-devops](https://cloud.google.com/docs/monitoring-devops) **Serverless Computing and Advanced Cloud Services:** We explored the concepts of serverless computing and advanced cloud services, including machine learning, data analytics, and IoT. For additional resources on serverless computing and advanced cloud services, refer to the following resources: * AWS Lambda and Serverless Computing [https://aws.amazon.com/lambda/](https://aws.amazon.com/lambda/) * Microsoft Azure Functions and Serverless Computing [https://azure.microsoft.com/en-us/services/functions/](https://azure.microsoft.com/en-us/services/functions/) * Google Cloud Functions and Serverless Computing [https://cloud.google.com/docs/functions](https://cloud.google.com/docs/functions) **Conclusion:** This review of key concepts and technologies covered in the Cloud Platforms: Foundations and Applications course should provide you with a solid foundation for your future endeavors in cloud computing. As you move forward, remember to stay up-to-date with the latest developments in the field and continually apply what you've learned to real-world scenarios. **Practice Exercise:** 1. Review the course materials and create a mind map or concept map of the key concepts and technologies covered. 2. Identify the most important takeaways from the course and create a list of "best practices" for cloud computing. 3. Research and write a short paper on a specific topic or technology discussed in the course, such as serverless computing or machine learning. **Additional Resources:** * Cloud Computing Weekly Newsletter [https://cloudcomputingweekly.com/newsletter/](https://cloudcomputingweekly.com/newsletter/) * Cloud Tech News [https://cloudtechnews.com/](https://cloudtechnews.com/) * The Cloud Council [https://www.cloudcouncil.org/](https://www.cloudcouncil.org/) **Leave a comment or ask for help:** If you have any questions or comments regarding the course material, please leave a comment below. If you're struggling with a specific concept or technology, feel free to ask for help. **Next Topic:** Our next topic will be "Best practices for cloud architecture and deployment."

Images

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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