Scalable Microservices with gRPC & Kubernetes
summary
Builds a Python gRPC server and client, generates pb2 and pb2_grpc stubs from .proto, containerizes both with Docker containers pushed to Kubernetes (minikube), deploys them and uses kubectl to scale a deployment from 5 to 10 replicas on the dashboard. Shows a Flask HTTP front end calling gRPC, demos protobuf binary serialization that drastically reduces packet size, cites ~7–8% efficiency gain at production scale, and covers HTTP/2 streaming, client-side load balancing, and how code generation removes most cross-language client-library drift.
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chapters (20)
- 0:00Start
- 0:21Why Grpc
- 4:25Dedicated Frameworks
- 4:57Grpc
- 9:58Grpc to the Rescue
- 11:41Built-in Code Generators
- 15:30Language Neutral
- 19:16Protocol Buffer
- 21:22What Grpc Recommends
- 24:54Implementation
- 27:22Pros and Cons
- 29:20Kubernetes
- 32:51Containerization
- 33:26Docker File
- 34:52Why Do We Need To Containerize
- 36:22Setting Up Kubernetes
- 37:01To Set Up the Kubernetes
- 39:44Cube Ctl
- 41:54Scale Deployment
- 54:06Securing on the Transport Layer
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