gRPC Load Balancing
This post describes various load balancing scenarios seen when deploying gRPC. If you use gRPC with multiple backends, this document is for you. A large scale gRPC deployment typically has a number of identical back-end instances, and a number of clients. Each server has a certain capacity. Load balancing is used for distributing the load from clients optimally across available servers. Why gRPC?g
gRPC-Web: Moving past REST+JSON towards type-safe Web APIs
gRPC-Web: Moving past REST+JSON towards type-safe Web APIs04.26.17 Michal Witkowski is Improbable’s Principal Tech Lead on SpatialOS and Marcus Longmuir is the Tech Lead of Improbable’s Webtools Team. REST+JSON is the de-facto standard way of building interactions between Web Apps and API servers. However, once you get past the initial ease of the prototyping phase, it shows problems with maintain
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1. The document discusses RESTful APIs and gRPC, comparing their characteristics and use cases. 2. RESTful APIs typically use HTTP and JSON to access resources via URLs while gRPC uses protocol buffers and HTTP/2 for efficient streaming and RPC. 3. gRPC is better suited for microservices and mobile apps due to its ability to handle streaming and performance, while REST is more widely used due to i
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