
Learn protocol buffers as the foundation for gRPC, covering syntax, messages, data types, and services, and see how compiling proto files generates server and client code across languages.
Explore gRPC communication patterns, from unary RPC to server-side, client-side, and bidirectional streaming, enabling real-time data, large data handling, and interactive services like chat and gaming.
Master unary streaming in gRPC with Python by building a simple greeter service: define hello request and hello reply in a proto file, generate code, and run client and server.
Learn how to apply gRPC data compression, choosing among no compression, deflate, and gzip, and configure it on the server and client for efficient, trade-off aware communication.
Explore gRPC interceptors on both client and server sides, enabling logging, authentication, and metrics for unary requests and responses; implement by subclassing and registering interceptors.
Discover how gRPC metadata carries authentication, logging, and tracing information as client-server key-value data. Learn to read request metadata and set response metadata in a Python echo service.
Why Take This Course?
Hands-On Learning: This course emphasizes practical, hands-on learning. You'll build real-world gRPC applications in Python.
Focused and Efficient: We focus on the essential aspects of gRPC, ensuring you get the knowledge you need without unnecessary complexity.
No Prior gRPC Experience Required: Designed for beginners with basic Python knowledge, this course requires no prior experience with gRPC.
Key Learning Points:
Introduction to gRPC: Understand what gRPC is and why it is important.
Protobuf Basics: Learn about Protocol Buffers (protobuf), the language-agnostic binary serialization format used by gRPC.
gRPC Architecture: Get to know the architecture of gRPC, including clients, servers, and stubs.
Creating gRPC Services: Step-by-step guide to creating your own gRPC services in Python.
gRPC Communication Patterns: Explore different communication patterns such as unary, server streaming, client streaming, and bidirectional streaming.
Error Handling and Deadlines: Learn how to handle errors and set deadlines for gRPC calls.
Security in gRPC: Implement security measures such as SSL/TLS encryption for your gRPC services.
By the end of this course, you'll have a solid understanding of gRPC and the skills to implement efficient, scalable, and secure gRPC services in Python.
Join us and unlock the potential of gRPC to build robust and high-performance microservices!