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 %28CI%2FCD%29 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

  • An understanding of basic cloud computing concepts
  • Experience with containerization and orchestration tools
  • Familiarity with DevOps practices and tools

Audience

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

Number of participants



Price per participant

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