Cloud Computing_C102: Cloud-native Application Development

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About Course

This course unveils the art of crafting modern applications tailored for the dynamic realm of cloud computing:

  • From mastering microservices architecture, containerization with Docker, and orchestration with Kubernetes
  • To delve into serverless computing, CI/CD pipelines, and cloud-native data management.
  • This course equips you with the skills to architect, build, and deploy applications optimized for cloud environments.
  • Through hands-on labs, real-world scenarios, and in-depth exploration of cloud platforms

 

After the completion of course student will be able to:

  • Cloud-native Fundamentals: Gain understanding of cloud-native principles, including microservices, containerization, and cloud platforms, enabling you to design applications that influence the scalability, flexibility, and efficiency of the cloud.
  • Containerization and Orchestration Proficiency: Acquire practical skills in containerization using Docker and orchestration using Kubernetes, enabling you to create, manage, and deploy applications with efficiency, portability, and resilience.
  • DevOps and CI/CD Implementation: Learn how to implement DevOps practices and set up automated CI/CD pipelines, ensuring seamless integration, continuous testing, and automated deployment of your cloud-native applications.
  • Microservices Mastery: Develop expertise in designing, developing, and deploying microservices-based architectures, allowing you to break down complex applications into manageable components that can be independently developed, deployed, and scaled.
  • Cloud-native Best Practices: Explore and apply cloud-native design patterns, security practices, and monitoring strategies to build applications that are fault-tolerant, scalable, and optimized for performance in cloud environments
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Course Content

Module 1

  • Topic 1: Introduction to Cloud-native Concepts
    03:50
  • LO1: Understand the fundamental principles of Cloud-native application development
    21:11
  • LO2: Differentiate between Cloud-native and traditional applications
    13:07
  • LO3: Analyze the benefits and challenges of adopting a Cloud-native approach
    22:26
  • LO4: Knowledge Check
  • Case Study: Introduction to Cloud-native Concepts
  • Topic 2: Cloud-native Development Platforms
    03:44
  • LO1: Understand the different platforms available for Cloud-native development
    25:22
  • LO2: Describe PaaS in Cloud-Native Environments
    07:51
  • LO3: Analyze Platforms for Scalable Data Management, Continuous Delivery and for Microservices
    24:42
  • LO4: Knowledge Check
  • Case Study: Cloud-native Development Platforms
  • Topic 3: Microservices Architecture
    03:50
  • LO1: Understand the principles and benefits of Microservices Architecture
    13:25
  • LO2: Identify the Components and Patterns of Microservices
    16:52
  • LO3: Analyse Microservices Deployment in Kubernetes and Service Mesh
    19:25
  • LO4: Knowledge Check
  • Case Study: Microservices Architecture
  • Topic 4: Containerization with Docker
    04:04
  • LO1: Understand the concept of Docker Fundamentals, Building and Managing Containers
    17:33
  • LO2: Explain how to create and manage Docker Containers
    16:17
  • LO3: Evaluate the Use Cases for Containerization
    11:23
  • LO4: Discuss Containerizing Applications for CI/CD and Data-Intensive Applications
    20:39
  • LO5: Knowledge Check
  • Case Study: Containerization with Docker
  • Topic 5: Container Orchestration with Kubernetes
    03:51
  • LO1: Identify the key Components and Architecture of Kubernetes
    14:03
  • LO2: Understand the role of Pod Management, Services and Networking
    20:59
  • LO3: Evaluate the benefits and challenges of using Kubernetes
    08:02
  • LO4: Discuss Kubernetes in CI/CD Pipelines and Scalable Data Management
    11:50
  • Case Study: Container Orchestration with Kubernetes
  • LO5: Knowledge Check
  • Topic 6: Cloud-native Application Development Patterns
    04:00
  • LO1: Understand Common Design Patterns used in Cloud-native Application development
    20:24
  • LO2: Identify the Best Practices for Implementing Cloud-native Patterns
    16:08
  • LO3: Evaluate the Impact of the Patterns on Scalability and Resilience
    07:39
  • LO4: Apply Cloud-native Design Patterns to Solve Real-world Problems
    12:49
  • LO5: Knowledge Check
  • Case Study: Cloud-native Application Development Patterns
  • Topic 7: API Design and Management
    03:44
  • LO1: Understand the principles of effective API Design
    14:48
  • LO2: Identify the best practices for API Management and Security
    14:08
  • LO3: Design and Implement a Robust API for a Cloud-native Application
    14:37
  • LO4: Knowledge Check
  • Case Study: API Design and Management
  • Topic 8: DevOps and Continuous Integration/Continuous Deployment (CI/CD)
    04:11
  • LO1: Understand the role of DevOps in Cloud-native Application Development
    11:59
  • LO2: Identify the Fundamental Practices, Benefits and Tools for CI/CD
    14:17
  • LO3: Set up a CI/CD pipeline for a Cloud-native Application
    10:28
  • LO4: Knowledge Check
  • Case Study: DevOps and Continuous Integration/Continuous Deployment (CI/CD)
  • Topic 9: Serverless Computing
    03:51
  • LO1: Understand the Principles and Benefits of Serverless Computing
    17:50
  • LO2: Identify the Critical Components of Serverless Architecture
    10:15
  • LO3: Analyse the use cases for Serverless Computing in Cloud-native applications
    14:11
  • LO4: Discuss Kubernetes Integration with Serverless Frameworks
    15:24
  • LO5: Knowledge Check
  • Case Study: Serverless Computing
  • Topic 10: Cloud-native Data Management
    03:51
  • LO1: Understand the challenges in data management in Cloud-native applications
    10:10
  • LO2: Identify the Technologies and Tools for Cloud-native Data Management
    11:54
  • LO3: Analyse the impact of Data Management on Application Performance and Scalability
    10:59
  • LO4: Describe Data Persistence in Kubernetes and Stateful Applications
    20:21
  • LO5: Knowledge Check
  • Case Study: Cloud-native Data Management
  • Topic 11: Monitoring, Logging, and Tracing
    03:34
  • LO1: Understand the importance of Monitoring, Logging, and Tracing
    14:01
  • LO2: Identify the essential tools and techniques for effective Monitoring and Logging
    12:13
  • LO3: Analyse Monitoring and Feedback Loops in DevOps and Observability in Data-Intensive Systems
    20:32
  • LO4: Knowledge Check
  • Case Study: Monitoring, Logging, and Tracing
  • Topic 12: Security in Cloud-native Applications
    03:34
  • LO1: Understand Security Best Practices in Kubernetes, RBAC, and Network Policies
    10:25
  • LO2: Identify Securing Data in Distributed Systems and Security Integration in CI/CD Pipelines
    07:56
  • LO3: Analyse Security as a DevOps Practice, Continuous Security
    12:21
  • LO4: Knowledge Check
  • Case Study: Security in Cloud-native Applications
  • Module Based Quiz

Final Exam

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