Microservices with FastAPI – Full Course

Course Overview:

Dive deep into the world of microservices with FastAPI, one of the fastest and most modern frameworks for building APIs with Python. In this comprehensive course, you'll explore the essentials and best practices of designing, developing, and deploying scalable microservices using FastAPI.

Course Highlights:

Introduction to Microservices:

  • Understanding the microservices architecture.
  • Benefits and challenges of adopting microservices.

Getting Started with FastAPI:

  • Setting up the development environment.
  • Exploring the basics of FastAPI and its advantages.

Designing Microservices:

  • API design principles.
  • Versioning, error handling, and documentation with FastAPI.

Data Handling and Validation:

  • Using Pydantic models for data validation and serialization.
  • Handling database operations and integrations.

Authentication and Authorization:

  • Implementing JWT for secure data exchange.
  • Role-based access and OAuth integrations.

Testing and Documentation:

  • Writing effective unit and integration tests.
  • Auto-generating interactive API documentation with FastAPI.

Deployment and Scaling:

  • Dockerizing FastAPI microservices.
  • Best practices for deploying and scaling with Kubernetes.

Monitoring and Logging:

  • Tools and techniques to monitor microservices health.
  • Effective logging and error tracking.

Real-world Projects and Case Studies:

  • Practical hands-on projects to solidify your learning.
  • Analyzing real-world scenarios to understand common patterns and pitfalls.

Who Should Attend:

Developers, architects, and tech enthusiasts interested in mastering microservices development using FastAPI. Prior knowledge of Python is recommended.

Course Outcomes:

By the end of this course, participants will be equipped with the skills and knowledge to design, develop, and deploy robust and scalable microservices using FastAPI. They will also be familiar with best practices and common patterns that can be applied in real-world scenarios.

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