gRPC [Golang] 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 client options for asynchronous or synchronous communication and client-side load balancing for horizontal scaling. The tutorial also references Google's use of gRPC, managing 10 billion requests per second, showcasing its massive scalability. The conclusion reassures viewers of gRPC's reliability, as it is a battle-tested framework used by Google.

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

• They require manual scaling.

• They are asynchronous by default.

• They block threads on requests.

• They are synchronous by default.

What choice do GRPC clients have regarding their operation mode?

• They can only be asynchronous.

• They can be either asynchronous or synchronous.

• They must be synchronous.

• They do not have any choice.

What is client-side load balancing in GRPC?

• Balancing load on a single server.

• Distributing requests across multiple clients.

• Allowing clients to balance load across multiple servers.

• Using a central server to manage load.

How many GRPC requests does Google handle per second within their systems?

• 10 billion

• 100 million

• 1 million

• 1 billion

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

• It is a battle-tested framework used by Google.

• It is a new and untested framework.

• It is only used by small companies.

• It requires constant manual adjustments.