gRPC [Java] Master Class: Build Modern API and Microservices - Scalability in gRPC

The video tutorial explains the high performance and scalability of GRPC, highlighting its asynchronous nature that allows servers to handle millions of requests in parallel. It discusses the flexibility of GRPC clients to choose between asynchronous and synchronous models, and introduces client-side load balancing for horizontal scaling. The tutorial also references Google's use of GRPC, managing 10 billion requests per second, showcasing its robustness and reliability.

What is a key feature of GRPC servers that contributes to their high performance?

• They require manual scaling.

• They are asynchronous by default.

• They block threads on request.

• They are synchronous by default.

How can GRPC clients be configured in terms of request handling?

• Only asynchronous

• Neither synchronous nor asynchronous

• Either synchronous or asynchronous

• Only synchronous

What is the purpose of client-side load balancing in GRPC?

• To increase client-side processing

• To enable vertical scaling

• To reduce server load

• To distribute requests across multiple servers

What is the scale of GRPC requests handled by Google per second?

• 1 million

• 10 billion

• 1 billion

• 100 million

Why should users not worry about GRPC's scalability and performance?

• It requires constant updates.

• It is battle-tested and used by Google.

• It is only used by small companies.

• It is a new framework.