![]() ![]() WebSockets is based on HTTP/1.1, which came to support bi-directional communication. With WebSockets API, we will be able to send messages to a server and also will be able to receive event-driven responses without having to poll the server for a reply. The IETF standardised the WebSocket protocol as RFC 6455 in 2011, and the WebSocket API in Web IDL is being standardized by the W3C. It provides a full-duplex mode of communication over a single TCP connection. WebSockets is a protocol beneficial for creating a two-way channel between the server and the web browser. Now let’s move on to understanding WebSockets and how it is different from gRPC? gRPC is mostly used in those use cases where there is communication between services internally. gRPC is available only for internal services as there are no APIs available for external use. Multiplexing, duplex streaming and protobufs make gRPC much faster. Because of this binary data format, gRPC is much lighter. It uses protocol buffers for communication. GRPC has been built using HTTP/2 which supports the traditional request/response model and bi-directional streams. Companies like Netflix, Cockroach Labs, Cisco, Slack and many more used gRPC. Also like I said earlier, gRPC is also open source, meaning that the system can be audited, iterated, forked, and more. In Addition, gRPC has a very effective authentication system which utilizes SSL/TLS through Google’s token-based system. Protobufs are the language-agnostic and platform agnostic systems used to serialise data. The most unique feature added by gRPC is the concept of protobufs. In RPC, the Client takes a lot of responsibility for execution while offloading much of the handling and computation to the remote server hosting the resource. RPC functions on an idea of contracts, in which the relationship is being negotiated by the client and the server itself. It’s like running a program on your computer miles away from your workstation. It is a method for executing a procedure on a remote server. gRPC is easily a new take on an old approach known as RPC. gRPC is being open-sourced and developed by Google. One other consideration is test time some engines start up much faster than others.GRPC is a high-performance, open source RPC framework. The Tech Empower benchmarks attempt to simulate simple real-world scenarios, but they can behave drastically different than your app. Top rank: 55/113 - Apache backend Recommendations ¶īenchmark your own app's performance trying different engines if performance is critical. The standard Jackson module used for JSON creation and marshalling. ![]() Random DB updates: results: ¶ĭatabase driver used is PostgreSql backed by a Hikari pool. Single DB query: results: ¶ĭatabase driver used is PostgreSql backed by a Hikari pool. Multiple DB queries: results: ¶ĭatabase driver used is PostgreSql backed by a Hikari pool. Handlebars templating engine used for rendering. *Top rank: 9/29 DB query + HTML rendering: results: ¶ĭatabase driver used is PostgreSql backed by a Hikari pool. The big surprise was the high performance of the Apache server backend, which consistently outranked Undertow (which is the most fully featured of all the supported backends and our default option). Overall, http4k did very well in this round of benchmarking, placing 19/104 - especially considering that the ethos of the library is one of excellent Developer experience over and above high-end performance (which tends to result in less friendly APIs). ![]() The full implementation of the benchmark can be found here. Fun main () Ĭommand-line JVM options, however, were tuned for the test to take advantage of various JVM features. ![]()
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