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Course Outline

Introduction to Cloud-Native Platform Engineering

  • Defining Cloud-Native Platform Engineering.
  • Benefits of cloud-native platforms.
  • Overview of cloud service models (IaaS, PaaS, SaaS).

Core Cloud-Native Technologies

  • Understanding containers and orchestration with Kubernetes.
  • Serverless computing concepts and platforms.
  • Cloud-native storage and networking solutions.

Designing Cloud-Native Platforms

  • Architectural patterns for cloud-native platforms.
  • Building a platform-as-a-service (PaaS) environment.
  • Leveraging managed services for platform components.

Implementing Serverless Architectures

  • Function-as-a-Service (FaaS) deep dive.
  • Event-driven architecture and design.
  • Deploying serverless applications with AWS Lambda, Azure Functions, or Google Cloud Functions.

Continuous Integration and Deployment (CI/CD) in the Cloud

  • Setting up CI/CD pipelines with cloud-native tools.
  • Automating deployment processes.
  • Best practices for CI/CD in a cloud-native ecosystem.

Monitoring and Observability in Cloud-Native Platforms

  • Tools for monitoring cloud-native applications.
  • Implementing observability and tracing.
  • Log management and analysis.

Security and Compliance in the Cloud

  • Cloud security fundamentals.
  • Identity and access management (IAM).
  • Compliance and regulatory considerations.

Managing Cloud Costs and Resources

  • Cost optimization strategies for cloud-native platforms.
  • Resource management and scaling.
  • Tools for cost monitoring and reporting.

Hands-On Labs and Workshops

  • Practical exercises with cloud-native technologies.
  • Building and deploying a sample cloud-native application.
  • Troubleshooting common issues in cloud-native environments.

Summary and Next Steps

Requirements

  • A solid understanding of basic cloud computing concepts.
  • Hands-on experience with containerization and orchestration tools.
  • Familiarity with DevOps practices and tools.

Audience

  • Platform engineers.
  • Cloud architects.
  • DevOps practitioners.
  • IT professionals.
 28 Hours

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