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Go

Understanding Go Channels: An Overview for Beginners

On a server infrastructure, Go code can be quickly deployed and updated across different installations as needed. It also supports a variety of operating systems and processor designs, which is a significant advantage. Some of the biggest and most well-known projects have been written completely in Go, which has emerged as the preferred language for open-source infrastructure software. For instance, Docker was created completely in Go.

How to use JSON in Golang?

JSON is among the most popular data exchange formats, while Go is mainly used for software development. In Go, the encoding/json package provides built-in support for encoding and decoding JSON data. With this package, Go programs can easily read and write JSON data to communicate with external systems, such as web services or databases, or to exchange data between different components of the same program.

Building a RESTful API with Go and Gin

When it comes to building an API, Go is an extremely popular programming language choice to build powerful RESTful APIs with. The language is super lightweight, has many different libraries and frameworks available, and is easy to run. One of the frameworks support by Go is Gin. Gin is a web framework written in Golang that offers great performance and scalability, amongst other features.

Building a RESTful API with Go

When it comes to building an API, Go is an extremely popular programming language choice to build powerful RESTful APIs with. The language is super lightweight, has many different libraries and frameworks available, and is easy to run. In this tutorial, we will build a simple REST API using Go. The API endpoint will allow a user to retrieve a credit score rating.

Integrating Keploy with Redis in Golang

In this video, we'll see how keploy has evolved. Presenting a new installation process of Keploy where the server of keploy can be installed using binary for Linux and macOS, and we can run the keploy server using the command "keploy" from the CLI. The test cases when you make an API call is reflected in the CLI where keploy is running, and the test runs details are also shown there. The test runs report is stored in yaml file format under the test-reports directory.