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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 | 39 views

## 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. ## Weekly Breakdown ### Week 1: Introduction to Cloud Computing #### Topics: - [**What is cloud computing?**](https://spinncode.com/designs/4pKeX75o): Cloud computing is a model for delivering computing services over the internet, offering on-demand access to resources such as servers, storage, and applications. Key characteristics include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Understanding cloud service models, deployment models, and benefits can help organizations make informed decisions about adopting cloud computing. - [**History and evolution of cloud services.**](https://spinncode.com/designs/iL2jihjJ): Cloud computing has evolved significantly over the past few decades, from early mainframe computing to modern cloud platforms. Key milestones in its history include the launch of AWS, Google App Engine, and Microsoft Azure, which have shaped the cloud computing landscape. Understanding cloud deployment models and service models is essential for navigating the benefits and challenges of cloud computing. - [**Benefits and challenges of cloud adoption.**](https://spinncode.com/designs/c8eIRtpV): Cloud adoption offers businesses numerous benefits, including scalability, cost savings, increased efficiency, improved collaboration, and enhanced security. However, challenges such as ensuring security and compliance, maintaining data sovereignty, and minimizing vendor lock-in also exist. Understanding these advantages and disadvantages is crucial for effective cloud adoption. - [**Overview of different deployment models: Public, Private, Hybrid.**](https://spinncode.com/designs/K29erDes): Explore the three primary cloud deployment models - public, private, and hybrid - and understand their key features, benefits, and challenges to make informed decisions when selecting a cloud strategy. Learn about the advantages of each model, including scalability, cost-effectiveness, and security, and discover real-world examples from leading cloud providers. #### Lab: - [**Set up a cloud account (AWS, Azure, or Google Cloud) and explore the management console.**](https://spinncode.com/designs/ReZOkGwm) #### Lab Summary: Learn the basics of cloud computing by setting up an account on AWS, Azure, or Google Cloud and navigating the management console to explore its features and services. This hands-on lab guides you through creating and verifying your account, exploring the management console, and utilizing key resources like EC2 instances and storage buckets. By completing these tasks, you'll become familiar with the management console and be better equipped to manage your cloud resources efficiently. ### Week 2: Cloud Service Models #### Topics: - [**Infrastructure as a Service (IaaS): Overview and use cases.**](https://spinncode.com/designs/lD7dPpuB): Infrastructure as a Service (IaaS) provides scalable, on-demand computing resources over the internet, allowing users to focus on developing and managing applications and data. Key benefits include scalability, flexibility, cost-effectiveness, and reliability. However, IaaS also presents challenges such as security, compliance, and vendor lock-in. - [**Platform as a Service (PaaS): Overview and use cases.**](https://spinncode.com/designs/Vmc0yzBD): Platform as a Service (PaaS) is a cloud computing model that provides a complete platform for developing, running, and managing applications, enabling developers to focus on writing code without worrying about the underlying infrastructure. Key characteristics of PaaS include a managed platform, on-demand access, multi-tenancy, and scalability. PaaS can be deployed in various ways and is suitable for several use cases, including web and mobile application development, DevOps, and big data analytics. - [**Software as a Service (SaaS): Overview and use cases.**](https://spinncode.com/designs/F73MX49b): Understand Software as a Service (SaaS) and its role in cloud computing, including its definition, benefits, use cases, and security considerations. Learn how SaaS works, its cost-effectiveness and scalability, and explore real-world examples such as Microsoft Office 365 and Google Workspace. - [**Comparing service models and selecting the right model for applications.**](https://spinncode.com/designs/iXvJg1ey): Cloud service models - IaaS, PaaS, and SaaS - have distinct benefits and trade-offs, making it crucial to select the right model for various applications. Key factors to consider when comparing these models include level of control, scalability, cost, security, and maintenance. By understanding these differences and assessing an application's requirements, team expertise, and lifecycle, organizations can make informed decisions about which model to use. #### Lab: - [**Deploy a virtual machine using IaaS and a simple application using PaaS.**](https://spinncode.com/designs/RmgvNIqv) #### Lab Summary: Learn how to deploy a virtual machine using Infrastructure as a Service (IaaS) and a simple application using Platform as a Service (PaaS) on Amazon Web Services (AWS). This hands-on lab covers the key differences between IaaS and PaaS, including virtualized computing resources and managed application development platforms. By following along, you'll gain practical experience with IaaS and PaaS deployment and configuration. ### Week 3: Cloud Architecture and Design #### Topics: - [**Understanding cloud architecture principles.**](https://spinncode.com/designs/tXVpCQGY): Understanding the fundamental principles of cloud architecture is crucial for designing efficient, scalable, and secure cloud solutions. Key principles include scalability, availability, security, flexibility, and redundancy, which enable cloud architectures to adapt to changing business needs and withstand failures. By applying these principles and design patterns, you can create cloud architectures that meet the changing needs of your business. - [**Designing scalable and resilient cloud solutions.**](https://spinncode.com/designs/otn8sKHX): Designing scalable and resilient cloud solutions requires understanding key concepts like horizontal and vertical scaling, load balancing, fault tolerance, and high availability. Strategically implementing these principles through auto-scaling, queuing, database optimization, and data replication can ensure cloud solutions can handle increased traffic and unexpected events. Effective monitoring, performance analysis, and security best practices are also essential for ensuring scalability and resilience. - [**Microservices architecture and containerization.**](https://spinncode.com/designs/7EsOdE2K): Microservices architecture and containerization offer efficient and scalable methods for building cloud-based applications. By breaking down applications into small, independent services and packaging them into containers, you can achieve increased scalability, improved fault tolerance, and faster development and deployment. However, it's essential to consider the challenges and complexities associated with designing and implementing microservices architecture, and apply best practices for container orchestration and service management. - [**Serverless architecture: Concepts and applications.**](https://spinncode.com/designs/V5kfNQII): Serverless architecture is a cloud computing model that allows developers to focus on writing code without worrying about the underlying infrastructure, offering benefits such as scalability, cost-effectiveness, and increased productivity. However, it also presents limitations like vendor lock-in and security concerns. This topic explores the concepts, applications, and best practices for implementing serverless architecture. #### Lab: - [**Design a basic cloud architecture diagram for a sample application.**](https://spinncode.com/designs/xAhQ1hJP) #### Lab Summary: Learn how to design a basic cloud architecture diagram for a sample e-commerce application, incorporating scalability, resilience, and security principles using Amazon Web Services (AWS). Understand the key components and services required to support a microservices-based application, including load balancing, auto scaling, and database management. Explore best practices for designing a secure and efficient cloud architecture. ### Week 4: Cloud Storage Solutions #### Topics: - [**Types of cloud storage: Object, Block, File storage.**](https://spinncode.com/designs/VOAed6lN): Discover the key differences between object, block, and file storage in the cloud, including their characteristics, use cases, and practical applications. Learn how to choose the right type of cloud storage for your organization's data storage and retrieval needs, and improve overall IT efficiency. - [**Understanding data redundancy and availability.**](https://spinncode.com/designs/gFlKdwhS): Data redundancy and availability are crucial in cloud storage solutions to prevent data loss and ensure business continuity. Understanding the importance of maintaining multiple data copies in different locations and considering factors like data storage location, network connectivity, and replication can help improve data availability. By choosing cloud storage solutions like AWS S3, Azure Blob Storage, or Google Cloud Storage, businesses can ensure automatic data redundancy and availability. - [**Using cloud storage services: AWS S3, Azure Blob Storage, Google Cloud Storage.**](https://spinncode.com/designs/qi8uf8xZ): Explore three popular cloud storage services: AWS S3, Azure Blob Storage, and Google Cloud Storage, including their features, pricing models, and common use cases. Learn how to choose the right service, understand pricing models, and use data lifecycle management to optimize storage costs. - [**Data lifecycle management and cost optimization.**](https://spinncode.com/designs/MxcW4kza): Effective cloud storage management requires understanding the data lifecycle and implementing cost optimization strategies. Learn how to manage your cloud storage costs through tiered storage, data compression, and automation, and discover best practices for monitoring usage, setting policies, and optimizing storage performance. #### Lab: - [**Upload and manage files in a cloud storage service and set up lifecycle rules.**](https://spinncode.com/designs/J1QAUoUs) #### Lab Summary: Learn to manage files in a cloud storage service, including uploading, downloading, and deleting files. Understand how to set up lifecycle rules to automate object management and explore best practices for data management in the cloud, such as versioning, data retention, and security. Practical examples using Amazon S3 provide hands-on experience with cloud storage. ### Week 5: Networking in the Cloud #### Topics: - [**Understanding cloud networking basics.**](https://spinncode.com/designs/1xyDOFQu): Understanding cloud networking basics is essential for designing and managing cloud solutions, with key concepts including IP addresses, subnets, routers, firewalls, and DNS. Cloud networking models, such as hub-and-spoke, mesh, and hybrid, determine how resources communicate with each other and with the outside world. Familiarizing yourself with cloud networking fundamentals and choosing the right cloud networking model is crucial for optimal application performance and security. - [**Virtual Private Cloud (VPC) and subnets.**](https://spinncode.com/designs/VihJnrUr): Learn about Virtual Private Clouds (VPCs) and subnets, including their benefits, configuration, and management in cloud environments, and discover best practices for creating a secure, scalable network infrastructure. Explore how to use VPCs to organize cloud resources, allocate IP addresses, and control traffic flow. Understand how to apply these concepts to real-world scenarios and improve your cloud networking skills. - [**Load balancing and auto-scaling.**](https://spinncode.com/designs/rgI5EUm5): Load balancing and auto-scaling are crucial cloud networking concepts that ensure efficient application deployment by distributing traffic and dynamically adjusting resources. These technologies help improve responsiveness, reliability, and scalability, while also reducing costs and waste by allocating resources based on actual demand. Effective implementation of load balancing and auto-scaling is key to achieving optimal application performance in the cloud. - [**DNS and content delivery networks (CDNs).**](https://spinncode.com/designs/ZRzi3cE5): Understanding DNS and CDNs: Essential Concepts for Cloud Networking. DNS translates domain names into IP addresses, while CDNs deliver content to users by caching it in multiple locations. By applying best practices for DNS and CDNs, you can design scalable and high-performance cloud networking architectures. #### Lab: - [**Set up a VPC with subnets, and configure a load balancer for a web application.**](https://spinncode.com/designs/132Y6AMa) #### Lab Summary: Create a Virtual Private Cloud (VPC) with subnets and configure a load balancer for a web application using cloud providers like AWS, Azure, or Google Cloud. This lab covers the hands-on process of setting up a VPC, launching EC2 instances, configuring security groups, and distributing traffic using a load balancer. By completing this lab, you will gain practical experience with cloud networking fundamentals and setup a scalable web application infrastructure. ### Week 6: Cloud Security Best Practices #### Topics: - [**Overview of cloud security fundamentals.**](https://spinncode.com/designs/QqC7MksX): Understanding cloud security fundamentals is crucial to protect against data breaches and other security threats. Cloud security principles, such as security by design and least privilege, provide guidelines for designing and implementing secure cloud solutions. Implementing cloud security frameworks and risk management strategies can also help mitigate security risks. - [**Identity and Access Management (IAM).**](https://spinncode.com/designs/qwvVAkSR): Mastering Identity and Access Management (IAM) is crucial for securing cloud resources and applications, enabling organizations to control access and reduce the risk of security breaches. Key concepts in IAM include authentication, authorization, permissions, and roles, while best practices involve implementing role-based access control, multi-factor authentication, and regular monitoring and auditing. By understanding IAM principles and services, organizations can protect their cloud infrastructure and ensure secure access to resources. - [**Data encryption and secure data transfer.**](https://spinncode.com/designs/gjl49BPF): Data encryption protects sensitive information in the cloud by converting plaintext into unreadable ciphertext. Different encryption options, such as server-side and client-side encryption, ensure data security at rest and in transit. Implementing strong encryption algorithms and secure protocols, such as HTTPS and SFTP, is crucial for secure data transfer in the cloud. - [**Compliance and regulatory considerations.**](https://spinncode.com/designs/HFQf7362): Compliance and regulatory considerations are crucial for cloud security, with various regulations and standards in place to protect sensitive data. Key requirements include GDPR, HIPAA, and PCI DSS, while frameworks like Cloud Security Alliance STAR and NIST Cybersecurity Framework provide guidelines for managing and reducing risk. Organizations can ensure compliance by conducting risk assessments, implementing access controls, and encrypting data. #### Lab: - [**Implement IAM policies and encryption for cloud resources.**](https://spinncode.com/designs/BSoFso5m) #### Lab Summary: Implement cloud security best practices by learning how to create and manage IAM policies, and implement data encryption for cloud resources to control access and protect data from unauthorized access. ### Week 7: Monitoring and Performance Management #### Topics: - [**Monitoring cloud resources and applications.**](https://spinncode.com/designs/XuM4Hjr0): Monitoring cloud resources and applications is crucial for ensuring optimal performance, security, and cost efficiency in the cloud. Effective monitoring involves understanding key components and approaches, including data collectors, alerting systems, and visualization tools. By combining metrics, logs, and traces, setting alerts, and using automation, you can design and implement an effective monitoring strategy for your cloud infrastructure. - [**Using cloud-native monitoring tools: AWS CloudWatch, Azure Monitor, Google Stackdriver.**](https://spinncode.com/designs/iQ6pfEeH): Explore the cloud-native monitoring tools of AWS CloudWatch, Azure Monitor, and Google Stackdriver, and discover how to leverage features like metrics, logs, and alerts to optimize resource utilization and troubleshoot performance issues. Understanding these tools and implementing best practices can improve performance, reduce downtime, and optimize resource utilization. - [**Performance tuning and optimization strategies.**](https://spinncode.com/designs/rFeiNdFy): Optimize cloud performance with effective tuning and optimization strategies, including caching, load balancing, autoscaling, and database optimization. Learn best practices for monitoring, analyzing, and refining performance to ensure your cloud solutions operate efficiently. Master the techniques to maximize your cloud solution's efficacy and efficiency. - [**Understanding billing and cost management.**](https://spinncode.com/designs/YwdyMV3c): Understand the key concepts of cloud billing and cost management to optimize your organization's cloud investment. Learn how to read and analyze cloud bills, identify strategies for cost optimization, and implement cost governance policies for accountability and transparency. Effective cloud cost management involves understanding pricing models, rightsizing resources, and leveraging tools like AWS CloudWatch, GCP Cost Reports, and Azure Cost Estimator. #### Lab: - [**Set up monitoring for cloud resources and analyze performance metrics.**](https://spinncode.com/designs/TfmDqxq6) #### Lab Summary: Set up monitoring for cloud resources and analyze performance metrics using AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring. Learn how to enable monitoring, configure metrics and alarms, and use performance data to optimize system performance. By the end of this lab, you'll be able to analyze performance trends, identify areas for improvement, and optimize system performance using performance data. ### Week 8: DevOps and CI/CD in the Cloud #### Topics: - [**Introduction to DevOps practices.**](https://spinncode.com/designs/yqtFV2TB): Discover how DevOps practices combine people, processes, and technology to achieve continuous value delivery, its key benefits and practices, and explore the various tools and technologies that support this cultural shift in the world of cloud computing. Learn how to adopt DevOps principles to improve collaboration, speed up time-to-market, and enhance customer experience. Find out how to start implementing DevOps practices in your team with practical takeaways and additional resources. - [**Continuous Integration and Continuous Deployment (CI/CD) concepts.**](https://spinncode.com/designs/WYeQj8TY): Explore the fundamentals of Continuous Integration and Continuous Deployment (CI/CD) in cloud computing, including their benefits, implementation strategies, and tools like Jenkins and GitLab. Learn how to automate testing and deployment to improve software quality and efficiency in modern DevOps. - [**Using cloud services for CI/CD: AWS CodePipeline, Azure DevOps, Google Cloud Build.**](https://spinncode.com/designs/e9Q28U6D): Explore the benefits of using cloud services for CI/CD, including AWS CodePipeline, Azure DevOps, and Google Cloud Build. Learn how to create and customize pipelines for each service and evaluate factors to consider when choosing the right tool for your development team. - [**Infrastructure as Code (IaC) with tools like Terraform and CloudFormation.**](https://spinncode.com/designs/5NldjbJc): Discover how Infrastructure as Code (IaC) with Terraform and CloudFormation enables you to manage and provision cloud infrastructure resources using configuration files. Learn about the benefits of IaC, including version control, reusability, and automation, and explore best practices for implementing IaC in your cloud infrastructure projects. #### Lab: - [**Create a simple CI/CD pipeline for deploying an application in the cloud.**](https://spinncode.com/designs/hxvlUitV) #### Lab Summary: Learn how to set up a simple Continuous Integration and Continuous Deployment (CI/CD) pipeline using AWS CodePipeline to automate the deployment of a cloud-based application. This lab walks you through creating a GitHub repository, configuring AWS CodePipeline, and deploying a Node.js application to AWS Elastic Beanstalk. By following these steps, you'll gain hands-on experience with CI/CD pipelines and cloud-based application deployment. ### Week 9: Building Serverless Applications #### Topics: - [**Understanding serverless computing concepts.**](https://spinncode.com/designs/bU5V0fS0): Serverless computing is a cloud computing model that dynamically allocates resources as needed, allowing developers to focus on writing code without managing infrastructure. Key concepts include event-driven architecture, stateless functions, and Function-as-a-Service, which enable benefits like reduced administrative burden, increased scalability, and cost savings. Serverless computing is well-suited for applications like real-time data processing, APIs and microservices, and image and video processing. - [**Using AWS Lambda, Azure Functions, or Google Cloud Functions.**](https://spinncode.com/designs/4rjAfJwU): Build scalable serverless applications using AWS Lambda, Azure Functions, and Google Cloud Functions, exploring their key features, use cases, and best practices for real-time data processing, API backends, and IoT device data processing. Mastering these services enables the creation of efficient, cost-effective serverless applications, integrating seamlessly with other cloud services and applications. - [**Event-driven architecture and triggers.**](https://spinncode.com/designs/umC8IEjh): Learn how event-driven architecture and triggers work in serverless computing, including key characteristics, common event sources and triggers, and best practices for designing scalable and flexible serverless applications. Discover how to decouple components, define triggers, and create a robust event-driven architecture using AWS Lambda, API Gateway, S3, DynamoDB, and Kinesis. - [**Best practices for serverless application design.**](https://spinncode.com/designs/dVMyjSQd): Designing effective serverless applications requires a deep understanding of underlying architecture and adherence to key principles and best practices for scalability, security, and performance. Key principles include the Single-Responsibility Principle, loose coupling, event-driven architecture, and stateless compute, while best practices cover event-driven design, cloud-native services, retry mechanisms, and secure coding practices. By following these guidelines, developers can build fast, secure, and scalable applications that meet modern business needs. #### Lab: - [**Build a serverless application using AWS Lambda and API Gateway.**](https://spinncode.com/designs/s2Tinlqh) #### Lab Summary: Build and deploy a serverless application using AWS Lambda and API Gateway, learning how to design, integrate, and test a real-world application that demonstrates the power of serverless computing. This hands-on lab covers key concepts, including event-driven architecture, triggers, and RESTful APIs. By the end, you'll be equipped to build and deploy your own serverless applications using AWS Lambda and API Gateway. ### Week 10: Advanced Cloud Services and Use Cases #### Topics: - [**Exploring machine learning services in the cloud.**](https://spinncode.com/designs/ck8jY7ZV): Explore the machine learning services offered by top cloud providers like AWS, Google Cloud, Azure, and IBM, and learn how to choose the right service for your needs, use autoscaling and distributed training, and deploy models in various environments. - [**Using data analytics tools and services.**](https://spinncode.com/designs/1eM1MsI7): Explore cloud-based data analytics tools and services offered by AWS, Azure, and Google Cloud, including features, use cases, and best practices for scalable and cost-effective data analysis. Learn how to unlock the potential of your data with cloud-based data analytics, and discover how to apply these tools and services in various scenarios, including business intelligence, predictive analytics, and real-time analytics. - [**Introduction to IoT and cloud integration.**](https://spinncode.com/designs/15jxhAFk): Discover the fundamentals of IoT and its integration with cloud platforms, and learn how to harness the benefits of this convergence to drive innovation and business value. Key topics include IoT devices and sensors, cloud-based analytics, scalability, security, and real-time decision-making. Explore practical takeaways and example use cases to get started with IoT and cloud integration. - [**Case studies of cloud applications in different industries.**](https://spinncode.com/designs/qdZS45V0): Real-world examples of cloud applications in various industries, including finance, healthcare, education, and e-commerce, demonstrate how cloud services can drive innovation, improve efficiency, and reduce costs. Five case studies highlight the challenges, solutions, and benefits of cloud adoption in different sectors. By analyzing these examples, organizations can gain insights into how to leverage cloud services to meet their specific needs and challenges. #### Lab: - [**Use a cloud ML service to analyze data and generate predictions.**](https://spinncode.com/designs/GAM1r5oX) #### Lab Summary: Discover how to leverage cloud machine learning (ML) services to analyze data and make predictions. This topic covers the basics of cloud ML services, preparing data for ML analysis, building and training an ML model using Google Cloud's AutoML and Azure Machine Learning, and deploying the model to generate predictions. By comparing the results from different cloud ML services, you can choose the best approach for your specific use case. ### Week 11: Disaster Recovery and Business Continuity #### Topics: - [**Understanding disaster recovery concepts.**](https://spinncode.com/designs/6rRNP47Q): Understanding the fundamentals of disaster recovery planning is crucial for organizations to minimize downtime and data loss. Effective disaster recovery involves assessing risks, analyzing business impact, and implementing strategies like backup and restore, system replication, and cloud-based disaster recovery. Choosing the right cloud-based disaster recovery strategy can offer benefits such as scalability, cost-effectiveness, and high availability. - [**Designing a cloud disaster recovery plan.**](https://spinncode.com/designs/MET95kb2): Design a comprehensive cloud disaster recovery plan with a step-by-step approach to ensure business continuity and minimize the impact of disasters. Learn key concepts, best practices, and cloud disaster recovery models to create a plan that meets your organization's needs. Understand the importance of testing, automating, and monitoring your plan to ensure its effectiveness. - [**Data backup strategies in the cloud.**](https://spinncode.com/designs/Xvocj7ur): Designing a comprehensive data backup strategy in the cloud is crucial for disaster recovery and business continuity. Explore the importance of data backup, types of backups, and cloud backup strategies such as the 3-2-1 Rule, cloud-to-cloud backup, and hybrid backup. Learn how to implement a cloud backup strategy and best practices to follow for redundant and recoverable backups. - [**Testing and validating recovery plans.**](https://spinncode.com/designs/CUTdUVSl): Testing and validating a cloud disaster recovery plan is crucial to ensure business continuity and data recovery in the event of a disaster. This involves simulating disaster scenarios through tabletop exercises, walkthroughs, and simulation tests to identify gaps and weaknesses in the plan. By following best practices, using relevant tools, and involving all stakeholders, you can ensure that your recovery plan is effective and up-to-date. #### Lab: - [**Create a disaster recovery plan for a cloud application and perform a test restore.**](https://spinncode.com/designs/PFwza6KY) #### Lab Summary: Learn how to create a disaster recovery plan for a cloud application, including assessing critical components, identifying risks, and establishing recovery goals. Perform a test restore to ensure your plan is effective. Discover cloud provider tools and services to streamline the disaster recovery process. ### Week 12: Final Project and Course Review #### Topics: - [**Review of key concepts and technologies covered in the course.**](https://spinncode.com/designs/HYgqF5TY): Review key concepts in cloud computing, covering cloud fundamentals, service models, architecture, storage, networking, security, monitoring, DevOps, and advanced services like serverless computing and machine learning to solidify understanding and prepare for future cloud computing endeavors. - [**Best practices for cloud architecture and deployment.**](https://spinncode.com/designs/cqvk8Gd1): Discover the fundamentals of designing and deploying cloud architectures, including best practices for scalability, security, cost optimization, and deployment strategies, to create efficient, scalable, and secure cloud solutions. Key considerations include implementing automation, monitoring performance, and complying with regulations. By following these guidelines, you can design and deploy cloud architectures that meet your organization's needs. - [**Project presentations: Demonstrating learned skills through a capstone project.**](https://spinncode.com/designs/Qe87Br8y): Learn to design and present a comprehensive capstone project that integrates key concepts learned about cloud platforms, and demonstrate your ability to apply cloud computing principles to a real-world problem. This project involves choosing a real-world problem, proposing a cloud-based solution, and presenting your design decisions and results. Develop the skills to effectively communicate your project's goals, design, and results to an audience. #### Lab: - [**Complete the final project and prepare for presentation.**](https://spinncode.com/designs/VkxJvU2J) #### Lab Summary: Apply knowledge and skills to design and deploy a cloud-based solution for a real-world scenario, integrating at least three cloud services from different providers and ensuring scalability and security. Examples of projects include cloud-based e-commerce platforms and serverless data analytics pipelines. Submit a comprehensive project report including architecture diagram, cloud service details, and deployment plan, using free tiers, IaC tools, and CI/CD tools from cloud providers. ## Final Project - **Description:** Design and implement a complete cloud solution for a sample business case, integrating multiple services and demonstrating best practices in cloud architecture, security, and deployment. - **Presentation:** Students will present their projects, showcasing the architecture, technologies used, and lessons learned. ## Grading Breakdown - **Assignments&Labs:** 40% - **MidtermProject:** 20% - **FinalProject:** 30% - **Participation&Quizzes:** 10%
Course Outline

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. ## Weekly Breakdown ### Week 1: Introduction to Cloud Computing #### Topics: - [**What is cloud computing?**](https://spinncode.com/designs/4pKeX75o): Cloud computing is a model for delivering computing services over the internet, offering on-demand access to resources such as servers, storage, and applications. Key characteristics include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Understanding cloud service models, deployment models, and benefits can help organizations make informed decisions about adopting cloud computing. - [**History and evolution of cloud services.**](https://spinncode.com/designs/iL2jihjJ): Cloud computing has evolved significantly over the past few decades, from early mainframe computing to modern cloud platforms. Key milestones in its history include the launch of AWS, Google App Engine, and Microsoft Azure, which have shaped the cloud computing landscape. Understanding cloud deployment models and service models is essential for navigating the benefits and challenges of cloud computing. - [**Benefits and challenges of cloud adoption.**](https://spinncode.com/designs/c8eIRtpV): Cloud adoption offers businesses numerous benefits, including scalability, cost savings, increased efficiency, improved collaboration, and enhanced security. However, challenges such as ensuring security and compliance, maintaining data sovereignty, and minimizing vendor lock-in also exist. Understanding these advantages and disadvantages is crucial for effective cloud adoption. - [**Overview of different deployment models: Public, Private, Hybrid.**](https://spinncode.com/designs/K29erDes): Explore the three primary cloud deployment models - public, private, and hybrid - and understand their key features, benefits, and challenges to make informed decisions when selecting a cloud strategy. Learn about the advantages of each model, including scalability, cost-effectiveness, and security, and discover real-world examples from leading cloud providers. #### Lab: - [**Set up a cloud account (AWS, Azure, or Google Cloud) and explore the management console.**](https://spinncode.com/designs/ReZOkGwm) #### Lab Summary: Learn the basics of cloud computing by setting up an account on AWS, Azure, or Google Cloud and navigating the management console to explore its features and services. This hands-on lab guides you through creating and verifying your account, exploring the management console, and utilizing key resources like EC2 instances and storage buckets. By completing these tasks, you'll become familiar with the management console and be better equipped to manage your cloud resources efficiently. ### Week 2: Cloud Service Models #### Topics: - [**Infrastructure as a Service (IaaS): Overview and use cases.**](https://spinncode.com/designs/lD7dPpuB): Infrastructure as a Service (IaaS) provides scalable, on-demand computing resources over the internet, allowing users to focus on developing and managing applications and data. Key benefits include scalability, flexibility, cost-effectiveness, and reliability. However, IaaS also presents challenges such as security, compliance, and vendor lock-in. - [**Platform as a Service (PaaS): Overview and use cases.**](https://spinncode.com/designs/Vmc0yzBD): Platform as a Service (PaaS) is a cloud computing model that provides a complete platform for developing, running, and managing applications, enabling developers to focus on writing code without worrying about the underlying infrastructure. Key characteristics of PaaS include a managed platform, on-demand access, multi-tenancy, and scalability. PaaS can be deployed in various ways and is suitable for several use cases, including web and mobile application development, DevOps, and big data analytics. - [**Software as a Service (SaaS): Overview and use cases.**](https://spinncode.com/designs/F73MX49b): Understand Software as a Service (SaaS) and its role in cloud computing, including its definition, benefits, use cases, and security considerations. Learn how SaaS works, its cost-effectiveness and scalability, and explore real-world examples such as Microsoft Office 365 and Google Workspace. - [**Comparing service models and selecting the right model for applications.**](https://spinncode.com/designs/iXvJg1ey): Cloud service models - IaaS, PaaS, and SaaS - have distinct benefits and trade-offs, making it crucial to select the right model for various applications. Key factors to consider when comparing these models include level of control, scalability, cost, security, and maintenance. By understanding these differences and assessing an application's requirements, team expertise, and lifecycle, organizations can make informed decisions about which model to use. #### Lab: - [**Deploy a virtual machine using IaaS and a simple application using PaaS.**](https://spinncode.com/designs/RmgvNIqv) #### Lab Summary: Learn how to deploy a virtual machine using Infrastructure as a Service (IaaS) and a simple application using Platform as a Service (PaaS) on Amazon Web Services (AWS). This hands-on lab covers the key differences between IaaS and PaaS, including virtualized computing resources and managed application development platforms. By following along, you'll gain practical experience with IaaS and PaaS deployment and configuration. ### Week 3: Cloud Architecture and Design #### Topics: - [**Understanding cloud architecture principles.**](https://spinncode.com/designs/tXVpCQGY): Understanding the fundamental principles of cloud architecture is crucial for designing efficient, scalable, and secure cloud solutions. Key principles include scalability, availability, security, flexibility, and redundancy, which enable cloud architectures to adapt to changing business needs and withstand failures. By applying these principles and design patterns, you can create cloud architectures that meet the changing needs of your business. - [**Designing scalable and resilient cloud solutions.**](https://spinncode.com/designs/otn8sKHX): Designing scalable and resilient cloud solutions requires understanding key concepts like horizontal and vertical scaling, load balancing, fault tolerance, and high availability. Strategically implementing these principles through auto-scaling, queuing, database optimization, and data replication can ensure cloud solutions can handle increased traffic and unexpected events. Effective monitoring, performance analysis, and security best practices are also essential for ensuring scalability and resilience. - [**Microservices architecture and containerization.**](https://spinncode.com/designs/7EsOdE2K): Microservices architecture and containerization offer efficient and scalable methods for building cloud-based applications. By breaking down applications into small, independent services and packaging them into containers, you can achieve increased scalability, improved fault tolerance, and faster development and deployment. However, it's essential to consider the challenges and complexities associated with designing and implementing microservices architecture, and apply best practices for container orchestration and service management. - [**Serverless architecture: Concepts and applications.**](https://spinncode.com/designs/V5kfNQII): Serverless architecture is a cloud computing model that allows developers to focus on writing code without worrying about the underlying infrastructure, offering benefits such as scalability, cost-effectiveness, and increased productivity. However, it also presents limitations like vendor lock-in and security concerns. This topic explores the concepts, applications, and best practices for implementing serverless architecture. #### Lab: - [**Design a basic cloud architecture diagram for a sample application.**](https://spinncode.com/designs/xAhQ1hJP) #### Lab Summary: Learn how to design a basic cloud architecture diagram for a sample e-commerce application, incorporating scalability, resilience, and security principles using Amazon Web Services (AWS). Understand the key components and services required to support a microservices-based application, including load balancing, auto scaling, and database management. Explore best practices for designing a secure and efficient cloud architecture. ### Week 4: Cloud Storage Solutions #### Topics: - [**Types of cloud storage: Object, Block, File storage.**](https://spinncode.com/designs/VOAed6lN): Discover the key differences between object, block, and file storage in the cloud, including their characteristics, use cases, and practical applications. Learn how to choose the right type of cloud storage for your organization's data storage and retrieval needs, and improve overall IT efficiency. - [**Understanding data redundancy and availability.**](https://spinncode.com/designs/gFlKdwhS): Data redundancy and availability are crucial in cloud storage solutions to prevent data loss and ensure business continuity. Understanding the importance of maintaining multiple data copies in different locations and considering factors like data storage location, network connectivity, and replication can help improve data availability. By choosing cloud storage solutions like AWS S3, Azure Blob Storage, or Google Cloud Storage, businesses can ensure automatic data redundancy and availability. - [**Using cloud storage services: AWS S3, Azure Blob Storage, Google Cloud Storage.**](https://spinncode.com/designs/qi8uf8xZ): Explore three popular cloud storage services: AWS S3, Azure Blob Storage, and Google Cloud Storage, including their features, pricing models, and common use cases. Learn how to choose the right service, understand pricing models, and use data lifecycle management to optimize storage costs. - [**Data lifecycle management and cost optimization.**](https://spinncode.com/designs/MxcW4kza): Effective cloud storage management requires understanding the data lifecycle and implementing cost optimization strategies. Learn how to manage your cloud storage costs through tiered storage, data compression, and automation, and discover best practices for monitoring usage, setting policies, and optimizing storage performance. #### Lab: - [**Upload and manage files in a cloud storage service and set up lifecycle rules.**](https://spinncode.com/designs/J1QAUoUs) #### Lab Summary: Learn to manage files in a cloud storage service, including uploading, downloading, and deleting files. Understand how to set up lifecycle rules to automate object management and explore best practices for data management in the cloud, such as versioning, data retention, and security. Practical examples using Amazon S3 provide hands-on experience with cloud storage. ### Week 5: Networking in the Cloud #### Topics: - [**Understanding cloud networking basics.**](https://spinncode.com/designs/1xyDOFQu): Understanding cloud networking basics is essential for designing and managing cloud solutions, with key concepts including IP addresses, subnets, routers, firewalls, and DNS. Cloud networking models, such as hub-and-spoke, mesh, and hybrid, determine how resources communicate with each other and with the outside world. Familiarizing yourself with cloud networking fundamentals and choosing the right cloud networking model is crucial for optimal application performance and security. - [**Virtual Private Cloud (VPC) and subnets.**](https://spinncode.com/designs/VihJnrUr): Learn about Virtual Private Clouds (VPCs) and subnets, including their benefits, configuration, and management in cloud environments, and discover best practices for creating a secure, scalable network infrastructure. Explore how to use VPCs to organize cloud resources, allocate IP addresses, and control traffic flow. Understand how to apply these concepts to real-world scenarios and improve your cloud networking skills. - [**Load balancing and auto-scaling.**](https://spinncode.com/designs/rgI5EUm5): Load balancing and auto-scaling are crucial cloud networking concepts that ensure efficient application deployment by distributing traffic and dynamically adjusting resources. These technologies help improve responsiveness, reliability, and scalability, while also reducing costs and waste by allocating resources based on actual demand. Effective implementation of load balancing and auto-scaling is key to achieving optimal application performance in the cloud. - [**DNS and content delivery networks (CDNs).**](https://spinncode.com/designs/ZRzi3cE5): Understanding DNS and CDNs: Essential Concepts for Cloud Networking. DNS translates domain names into IP addresses, while CDNs deliver content to users by caching it in multiple locations. By applying best practices for DNS and CDNs, you can design scalable and high-performance cloud networking architectures. #### Lab: - [**Set up a VPC with subnets, and configure a load balancer for a web application.**](https://spinncode.com/designs/132Y6AMa) #### Lab Summary: Create a Virtual Private Cloud (VPC) with subnets and configure a load balancer for a web application using cloud providers like AWS, Azure, or Google Cloud. This lab covers the hands-on process of setting up a VPC, launching EC2 instances, configuring security groups, and distributing traffic using a load balancer. By completing this lab, you will gain practical experience with cloud networking fundamentals and setup a scalable web application infrastructure. ### Week 6: Cloud Security Best Practices #### Topics: - [**Overview of cloud security fundamentals.**](https://spinncode.com/designs/QqC7MksX): Understanding cloud security fundamentals is crucial to protect against data breaches and other security threats. Cloud security principles, such as security by design and least privilege, provide guidelines for designing and implementing secure cloud solutions. Implementing cloud security frameworks and risk management strategies can also help mitigate security risks. - [**Identity and Access Management (IAM).**](https://spinncode.com/designs/qwvVAkSR): Mastering Identity and Access Management (IAM) is crucial for securing cloud resources and applications, enabling organizations to control access and reduce the risk of security breaches. Key concepts in IAM include authentication, authorization, permissions, and roles, while best practices involve implementing role-based access control, multi-factor authentication, and regular monitoring and auditing. By understanding IAM principles and services, organizations can protect their cloud infrastructure and ensure secure access to resources. - [**Data encryption and secure data transfer.**](https://spinncode.com/designs/gjl49BPF): Data encryption protects sensitive information in the cloud by converting plaintext into unreadable ciphertext. Different encryption options, such as server-side and client-side encryption, ensure data security at rest and in transit. Implementing strong encryption algorithms and secure protocols, such as HTTPS and SFTP, is crucial for secure data transfer in the cloud. - [**Compliance and regulatory considerations.**](https://spinncode.com/designs/HFQf7362): Compliance and regulatory considerations are crucial for cloud security, with various regulations and standards in place to protect sensitive data. Key requirements include GDPR, HIPAA, and PCI DSS, while frameworks like Cloud Security Alliance STAR and NIST Cybersecurity Framework provide guidelines for managing and reducing risk. Organizations can ensure compliance by conducting risk assessments, implementing access controls, and encrypting data. #### Lab: - [**Implement IAM policies and encryption for cloud resources.**](https://spinncode.com/designs/BSoFso5m) #### Lab Summary: Implement cloud security best practices by learning how to create and manage IAM policies, and implement data encryption for cloud resources to control access and protect data from unauthorized access. ### Week 7: Monitoring and Performance Management #### Topics: - [**Monitoring cloud resources and applications.**](https://spinncode.com/designs/XuM4Hjr0): Monitoring cloud resources and applications is crucial for ensuring optimal performance, security, and cost efficiency in the cloud. Effective monitoring involves understanding key components and approaches, including data collectors, alerting systems, and visualization tools. By combining metrics, logs, and traces, setting alerts, and using automation, you can design and implement an effective monitoring strategy for your cloud infrastructure. - [**Using cloud-native monitoring tools: AWS CloudWatch, Azure Monitor, Google Stackdriver.**](https://spinncode.com/designs/iQ6pfEeH): Explore the cloud-native monitoring tools of AWS CloudWatch, Azure Monitor, and Google Stackdriver, and discover how to leverage features like metrics, logs, and alerts to optimize resource utilization and troubleshoot performance issues. Understanding these tools and implementing best practices can improve performance, reduce downtime, and optimize resource utilization. - [**Performance tuning and optimization strategies.**](https://spinncode.com/designs/rFeiNdFy): Optimize cloud performance with effective tuning and optimization strategies, including caching, load balancing, autoscaling, and database optimization. Learn best practices for monitoring, analyzing, and refining performance to ensure your cloud solutions operate efficiently. Master the techniques to maximize your cloud solution's efficacy and efficiency. - [**Understanding billing and cost management.**](https://spinncode.com/designs/YwdyMV3c): Understand the key concepts of cloud billing and cost management to optimize your organization's cloud investment. Learn how to read and analyze cloud bills, identify strategies for cost optimization, and implement cost governance policies for accountability and transparency. Effective cloud cost management involves understanding pricing models, rightsizing resources, and leveraging tools like AWS CloudWatch, GCP Cost Reports, and Azure Cost Estimator. #### Lab: - [**Set up monitoring for cloud resources and analyze performance metrics.**](https://spinncode.com/designs/TfmDqxq6) #### Lab Summary: Set up monitoring for cloud resources and analyze performance metrics using AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring. Learn how to enable monitoring, configure metrics and alarms, and use performance data to optimize system performance. By the end of this lab, you'll be able to analyze performance trends, identify areas for improvement, and optimize system performance using performance data. ### Week 8: DevOps and CI/CD in the Cloud #### Topics: - [**Introduction to DevOps practices.**](https://spinncode.com/designs/yqtFV2TB): Discover how DevOps practices combine people, processes, and technology to achieve continuous value delivery, its key benefits and practices, and explore the various tools and technologies that support this cultural shift in the world of cloud computing. Learn how to adopt DevOps principles to improve collaboration, speed up time-to-market, and enhance customer experience. Find out how to start implementing DevOps practices in your team with practical takeaways and additional resources. - [**Continuous Integration and Continuous Deployment (CI/CD) concepts.**](https://spinncode.com/designs/WYeQj8TY): Explore the fundamentals of Continuous Integration and Continuous Deployment (CI/CD) in cloud computing, including their benefits, implementation strategies, and tools like Jenkins and GitLab. Learn how to automate testing and deployment to improve software quality and efficiency in modern DevOps. - [**Using cloud services for CI/CD: AWS CodePipeline, Azure DevOps, Google Cloud Build.**](https://spinncode.com/designs/e9Q28U6D): Explore the benefits of using cloud services for CI/CD, including AWS CodePipeline, Azure DevOps, and Google Cloud Build. Learn how to create and customize pipelines for each service and evaluate factors to consider when choosing the right tool for your development team. - [**Infrastructure as Code (IaC) with tools like Terraform and CloudFormation.**](https://spinncode.com/designs/5NldjbJc): Discover how Infrastructure as Code (IaC) with Terraform and CloudFormation enables you to manage and provision cloud infrastructure resources using configuration files. Learn about the benefits of IaC, including version control, reusability, and automation, and explore best practices for implementing IaC in your cloud infrastructure projects. #### Lab: - [**Create a simple CI/CD pipeline for deploying an application in the cloud.**](https://spinncode.com/designs/hxvlUitV) #### Lab Summary: Learn how to set up a simple Continuous Integration and Continuous Deployment (CI/CD) pipeline using AWS CodePipeline to automate the deployment of a cloud-based application. This lab walks you through creating a GitHub repository, configuring AWS CodePipeline, and deploying a Node.js application to AWS Elastic Beanstalk. By following these steps, you'll gain hands-on experience with CI/CD pipelines and cloud-based application deployment. ### Week 9: Building Serverless Applications #### Topics: - [**Understanding serverless computing concepts.**](https://spinncode.com/designs/bU5V0fS0): Serverless computing is a cloud computing model that dynamically allocates resources as needed, allowing developers to focus on writing code without managing infrastructure. Key concepts include event-driven architecture, stateless functions, and Function-as-a-Service, which enable benefits like reduced administrative burden, increased scalability, and cost savings. Serverless computing is well-suited for applications like real-time data processing, APIs and microservices, and image and video processing. - [**Using AWS Lambda, Azure Functions, or Google Cloud Functions.**](https://spinncode.com/designs/4rjAfJwU): Build scalable serverless applications using AWS Lambda, Azure Functions, and Google Cloud Functions, exploring their key features, use cases, and best practices for real-time data processing, API backends, and IoT device data processing. Mastering these services enables the creation of efficient, cost-effective serverless applications, integrating seamlessly with other cloud services and applications. - [**Event-driven architecture and triggers.**](https://spinncode.com/designs/umC8IEjh): Learn how event-driven architecture and triggers work in serverless computing, including key characteristics, common event sources and triggers, and best practices for designing scalable and flexible serverless applications. Discover how to decouple components, define triggers, and create a robust event-driven architecture using AWS Lambda, API Gateway, S3, DynamoDB, and Kinesis. - [**Best practices for serverless application design.**](https://spinncode.com/designs/dVMyjSQd): Designing effective serverless applications requires a deep understanding of underlying architecture and adherence to key principles and best practices for scalability, security, and performance. Key principles include the Single-Responsibility Principle, loose coupling, event-driven architecture, and stateless compute, while best practices cover event-driven design, cloud-native services, retry mechanisms, and secure coding practices. By following these guidelines, developers can build fast, secure, and scalable applications that meet modern business needs. #### Lab: - [**Build a serverless application using AWS Lambda and API Gateway.**](https://spinncode.com/designs/s2Tinlqh) #### Lab Summary: Build and deploy a serverless application using AWS Lambda and API Gateway, learning how to design, integrate, and test a real-world application that demonstrates the power of serverless computing. This hands-on lab covers key concepts, including event-driven architecture, triggers, and RESTful APIs. By the end, you'll be equipped to build and deploy your own serverless applications using AWS Lambda and API Gateway. ### Week 10: Advanced Cloud Services and Use Cases #### Topics: - [**Exploring machine learning services in the cloud.**](https://spinncode.com/designs/ck8jY7ZV): Explore the machine learning services offered by top cloud providers like AWS, Google Cloud, Azure, and IBM, and learn how to choose the right service for your needs, use autoscaling and distributed training, and deploy models in various environments. - [**Using data analytics tools and services.**](https://spinncode.com/designs/1eM1MsI7): Explore cloud-based data analytics tools and services offered by AWS, Azure, and Google Cloud, including features, use cases, and best practices for scalable and cost-effective data analysis. Learn how to unlock the potential of your data with cloud-based data analytics, and discover how to apply these tools and services in various scenarios, including business intelligence, predictive analytics, and real-time analytics. - [**Introduction to IoT and cloud integration.**](https://spinncode.com/designs/15jxhAFk): Discover the fundamentals of IoT and its integration with cloud platforms, and learn how to harness the benefits of this convergence to drive innovation and business value. Key topics include IoT devices and sensors, cloud-based analytics, scalability, security, and real-time decision-making. Explore practical takeaways and example use cases to get started with IoT and cloud integration. - [**Case studies of cloud applications in different industries.**](https://spinncode.com/designs/qdZS45V0): Real-world examples of cloud applications in various industries, including finance, healthcare, education, and e-commerce, demonstrate how cloud services can drive innovation, improve efficiency, and reduce costs. Five case studies highlight the challenges, solutions, and benefits of cloud adoption in different sectors. By analyzing these examples, organizations can gain insights into how to leverage cloud services to meet their specific needs and challenges. #### Lab: - [**Use a cloud ML service to analyze data and generate predictions.**](https://spinncode.com/designs/GAM1r5oX) #### Lab Summary: Discover how to leverage cloud machine learning (ML) services to analyze data and make predictions. This topic covers the basics of cloud ML services, preparing data for ML analysis, building and training an ML model using Google Cloud's AutoML and Azure Machine Learning, and deploying the model to generate predictions. By comparing the results from different cloud ML services, you can choose the best approach for your specific use case. ### Week 11: Disaster Recovery and Business Continuity #### Topics: - [**Understanding disaster recovery concepts.**](https://spinncode.com/designs/6rRNP47Q): Understanding the fundamentals of disaster recovery planning is crucial for organizations to minimize downtime and data loss. Effective disaster recovery involves assessing risks, analyzing business impact, and implementing strategies like backup and restore, system replication, and cloud-based disaster recovery. Choosing the right cloud-based disaster recovery strategy can offer benefits such as scalability, cost-effectiveness, and high availability. - [**Designing a cloud disaster recovery plan.**](https://spinncode.com/designs/MET95kb2): Design a comprehensive cloud disaster recovery plan with a step-by-step approach to ensure business continuity and minimize the impact of disasters. Learn key concepts, best practices, and cloud disaster recovery models to create a plan that meets your organization's needs. Understand the importance of testing, automating, and monitoring your plan to ensure its effectiveness. - [**Data backup strategies in the cloud.**](https://spinncode.com/designs/Xvocj7ur): Designing a comprehensive data backup strategy in the cloud is crucial for disaster recovery and business continuity. Explore the importance of data backup, types of backups, and cloud backup strategies such as the 3-2-1 Rule, cloud-to-cloud backup, and hybrid backup. Learn how to implement a cloud backup strategy and best practices to follow for redundant and recoverable backups. - [**Testing and validating recovery plans.**](https://spinncode.com/designs/CUTdUVSl): Testing and validating a cloud disaster recovery plan is crucial to ensure business continuity and data recovery in the event of a disaster. This involves simulating disaster scenarios through tabletop exercises, walkthroughs, and simulation tests to identify gaps and weaknesses in the plan. By following best practices, using relevant tools, and involving all stakeholders, you can ensure that your recovery plan is effective and up-to-date. #### Lab: - [**Create a disaster recovery plan for a cloud application and perform a test restore.**](https://spinncode.com/designs/PFwza6KY) #### Lab Summary: Learn how to create a disaster recovery plan for a cloud application, including assessing critical components, identifying risks, and establishing recovery goals. Perform a test restore to ensure your plan is effective. Discover cloud provider tools and services to streamline the disaster recovery process. ### Week 12: Final Project and Course Review #### Topics: - [**Review of key concepts and technologies covered in the course.**](https://spinncode.com/designs/HYgqF5TY): Review key concepts in cloud computing, covering cloud fundamentals, service models, architecture, storage, networking, security, monitoring, DevOps, and advanced services like serverless computing and machine learning to solidify understanding and prepare for future cloud computing endeavors. - [**Best practices for cloud architecture and deployment.**](https://spinncode.com/designs/cqvk8Gd1): Discover the fundamentals of designing and deploying cloud architectures, including best practices for scalability, security, cost optimization, and deployment strategies, to create efficient, scalable, and secure cloud solutions. Key considerations include implementing automation, monitoring performance, and complying with regulations. By following these guidelines, you can design and deploy cloud architectures that meet your organization's needs. - [**Project presentations: Demonstrating learned skills through a capstone project.**](https://spinncode.com/designs/Qe87Br8y): Learn to design and present a comprehensive capstone project that integrates key concepts learned about cloud platforms, and demonstrate your ability to apply cloud computing principles to a real-world problem. This project involves choosing a real-world problem, proposing a cloud-based solution, and presenting your design decisions and results. Develop the skills to effectively communicate your project's goals, design, and results to an audience. #### Lab: - [**Complete the final project and prepare for presentation.**](https://spinncode.com/designs/VkxJvU2J) #### Lab Summary: Apply knowledge and skills to design and deploy a cloud-based solution for a real-world scenario, integrating at least three cloud services from different providers and ensuring scalability and security. Examples of projects include cloud-based e-commerce platforms and serverless data analytics pipelines. Submit a comprehensive project report including architecture diagram, cloud service details, and deployment plan, using free tiers, IaC tools, and CI/CD tools from cloud providers. ## Final Project - **Description:** Design and implement a complete cloud solution for a sample business case, integrating multiple services and demonstrating best practices in cloud architecture, security, and deployment. - **Presentation:** Students will present their projects, showcasing the architecture, technologies used, and lessons learned. ## Grading Breakdown - **Assignments&Labs:** 40% - **MidtermProject:** 20% - **FinalProject:** 30% - **Participation&Quizzes:** 10%

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