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 Duration 28 hours

Course Outline

Introduction to 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).

Core Cloud-Native Technologies

  • Mastering containers and orchestration via Kubernetes.
  • Concepts and platforms for serverless computing.
  • Storage and networking solutions within the cloud-native stack.

Designing Cloud-Native Platforms

  • Architectural patterns specific to cloud-native platforms.
  • Creating a Platform-as-a-Service (PaaS) environment.
  • Utilizing managed services for key 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.

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

  • Configuring CI/CD pipelines with cloud-native tooling.
  • Automating deployment workflows.
  • Best practices for CI/CD in a cloud-native context.

Monitoring and Observability in Cloud-Native Platforms

  • Tools for overseeing cloud-native applications.
  • Establishing observability and distributed tracing.
  • Log management and analytical techniques.

Security and Compliance in the Cloud

  • Foundations of cloud security.
  • Identity and access management (IAM).
  • Addressing compliance and regulatory requirements.

Managing Cloud Costs and Resources

  • Strategies for optimizing costs in cloud-native platforms.
  • Efficient resource management and scaling.
  • Tools for cost monitoring and reporting.

Hands-On Labs and Workshops

  • Practical exercises involving cloud-native technologies.
  • Construction and deployment of a sample cloud-native application.
  • Resolving common challenges in cloud-native environments.

Summary and Next Steps

Requirements

  • Familiarity with fundamental cloud computing concepts.
  • Practical experience with containerization and orchestration tools.
  • Proficiency in DevOps workflows and associated tooling.

Target Audience

  • Platform engineers.
  • Cloud architects.
  • DevOps specialists.
  • IT professionals.

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