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Course Outline

Fundamentals of Cloud-Native Platform Engineering

  • Defining the scope of Cloud-Native Platform Engineering
  • Advantages of adopting cloud-native platforms
  • Overview of cloud service models (IaaS, PaaS, SaaS)

Essential Cloud-Native Technologies

  • Mastering containers and orchestration via Kubernetes
  • Key concepts and platforms in serverless computing
  • Advanced cloud-native storage and networking solutions

Architecting Cloud-Native Platforms

  • Design patterns for cloud-native infrastructure
  • Constructing a platform-as-a-service (PaaS) environment
  • Integrating managed services for core platform components

Implementing Serverless Architectures

  • In-depth analysis of Function-as-a-Service (FaaS)
  • Designing event-driven architectures
  • Deploying serverless applications using AWS Lambda, Azure Functions, or Google Cloud Functions

Cloud Continuous Integration and Deployment %28CI%2FCD%29

  • Configuring CI/CD pipelines using cloud-native tooling
  • Automating deployment workflows
  • Best practices for CI/CD within a cloud-native ecosystem

Monitoring and Observability in Cloud-Native Platforms

  • Instrumentation tools for cloud-native applications
  • Establishing observability and distributed tracing
  • Log aggregation and analytical practices

Cloud Security and Compliance

  • Foundational principles of cloud security
  • Identity and access management (IAM) strategies
  • Navigating compliance and regulatory frameworks

Optimizing Cloud Costs and Resources

  • Strategies for cost efficiency in cloud-native platforms
  • Resource allocation and autoscaling mechanisms
  • Tools for expense tracking and reporting

Practical Labs and Workshops

  • Applied exercises utilizing cloud-native technologies
  • Building and deploying a representative cloud-native application
  • Resolving common challenges in cloud-native environments

Wrap-up and Future Directions

Requirements

  • A solid grasp of fundamental cloud computing concepts
  • Practical experience with containerization and orchestration tools
  • Working familiarity with DevOps workflows and associated tools

Target Audience

  • Platform engineers
  • Cloud architects
  • DevOps professionals
  • IT specialists
 28 Hours

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