Search Results for "write"

...Enjoy strongly-typed Web services and never have to write an API client library again.

...Although intended to be generally useful, it is primarily targeted toward DevOps tools, servers, etc. HCL has both a native syntax, intended to be pleasant to read and write for humans, and a JSON-based variant that is easier for machines to generate and parse. It includes an expression syntax that allows basic inline computation and, with support from the calling application, the use of variables and functions for more dynamic configuration languages. HCL provides a set of constructs that can be used by a calling application to construct a configuration language. ...

The zerolog package provides a fast and simple logger dedicated to JSON output. Zerolog's API is designed to provide both a great developer experience and stunning performance. Its unique chaining API allows zerolog to write JSON (or CBOR) log events by avoiding allocations and reflection. Uber's zap library pioneered this approach. Zerolog is taking this concept to the next level with a simpler-to-use API and even better performance. To keep the code base and the API simple, zerolog focuses on efficient structured logging only. Pretty logging on the console is made possible using the provided (but inefficient) zerolog.ConsoleWriter.

...Within Getty, each connection (session) involves two separate goroutines. One handles the reading of TCP streams, UDP packets, or WebSocket packages, while the other manages the logic processing and writes responses into the network write buffer. If your logic processing might take a considerable amount of time, it's recommended to start a new logic process goroutine yourself within codec.go's (Codec)OnMessage method. Additionally, you can manage heartbeat logic within the (Codec)OnCron method in codec.go. If you're using TCP or UDP, you should send heartbeat packages yourself and then call session.go's (Session)UpdateActive method to update the session's activity timestamp. ...

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. With our new proto3 language version, you can also work with Dart, Go, Ruby, and C#, with more languages to come. Package proto provides functions operating on protobuf messages such as cloning, merging, and checking equality, as well as binary serialization and text serialization. ...

...Buffer is a simple custom buffer type that complies with io.Writer. Its main benefit is that it has a pooling built-in. This goes a long way to helping make jingo fast by reducing its allocations and ensuring good write speeds. When you create an instance of an encoder it recursively generates an instruction set that defines how to iteratively encode your structs. This gives it the ability to provide a clear API but with the same benefits as a build-time optimized encoder. It's almost exclusively able to do all types of assertions and reflection activity during the compile, then makes ample use of the unsafe package during the instruction-set execution (the Marshal call) to make reading and writing very fast.

TySON (TypeScript Object Notation) is a subset of TypeScript, chosen to be useful as an embeddable configuration language that generates JSON. You can think of TySON as JSON + comments + types + basic logic using TypeScript syntax. TySON files use the .tson extension. The goal is to make it possible for all major programming languages to read configurations written in TypeScript using native libraries. That is, a go program should be able to read TySON using a go library, a rust program...

Twirp is a simple RPC framework built on protobuf. You define a service in a .proto specification file, then Twirp will generate servers and clients for that service. It's your job to fill in the "business logic" that powers the server, and then generated clients can consume your service straight away. Twirp routing and serialization reduces the risk of introducing bugs. Both JSON and Protobuf are supported. The Protobuf protocol is designed to allow backwards compatible changes (unlike...

jk is pre-1.0, and as such, features, commands, and APIs inevitably will change. jk is a data templating tool designed to help write structured configuration files. The main idea behind jk is to use a general-purpose language for this task. They offer mature tooling, great runtimes, a well-established ecosystem, and many learning resources. jk uses Javascript and a runtime tailored for configuration.