Go

elastic

The Go client for Elasticsearch: Working with data

In our previous two blogs, we provided an overview of the architecture and design of the Elasticsearch Go client and explored how to configure and customize the client. In doing so, we pointed to a number of examples available in the GitHub repository. The goal of these examples is to provide executable "scripts" for common operations, so it's a good idea to look there whenever you're trying to solve a specific problem with the client.

lightstep

The Concurrent Bug I Keep Writing

I'm pretty happy using Go in my day-to-day programming. I work on data storage and data retrieval for Lightstep and our data ingestion and storage systems are large enough that there are at least six services involved with more than a hundred actual instances. At various places in the pipeline we need fan-out and fan-in for serving requests to analysis tools, the web UI, and our public API. When I'm writing this fan-out/fan-in pattern, I reach for goroutines and channels by default.

honeybadger

A Gentle Introduction to Web Services With Go

When you're deciding on a technology to use for your project, it helps to have a broad understanding of your options. You may be tempted to build a web service in Go for performance reasons - but what would that code actually look like? How would it compare to languages like Ruby or JS? In this article, Ayooluwa Isaiah gives us a guided tour through the building blocks of go web services so you'll be well-informed.

elastic

The Go client for Elasticsearch: Configuration and customization

In a previous blog, we saw that the seemingly simple job of an Elasticsearch client — moving data between the calling code and the cluster — is actually quite complicated under the hood. Naturally, as much as we try to make the default behaviour of the client optimal for the majority of scenarios, there are situations where you want to configure, customize, or enable/disable certain features.

bleemeo

New monitoring agent in Go: Glouton

Bleemeo announces the General Availability of the new monitoring agent written in Go. This agent is the successor of the previous agent written in Python. All good aspects have been kept: Open Source, easy to deploy, and to use, available as a package for main Linux distributions: Debian/Ubuntu, CentOS/RedHat, available for Windows and available as a container.

elastic

The Go client for Elasticsearch: Introduction

The official Go client for Elasticsearch is one of the latest additions to the family of clients developed, maintained, and supported by Elastic. The initial version was published early in 2019 and has matured over the past year, gaining features such as retrying requests, discovering cluster nodes, and various helper components. We also provide comprehensive examples to facilitate using the client.

jfrog

Godoc in GoCenter Tells A Go Module's Story

Using an open-source Go module from the community of other developers can be like going on a blind date. That “getting to know you” phase that can be awkward and risky. The more you know in advance, the better off you’ll be, right? When using software, having accurate and precise documentation is one of the most important aspects. Good software documentation tells the story of what a particular piece of code does and how to use it.

datadog

Datadog API client libraries now available for Java and Go

Client libraries are collections of code that make it easier for developers to write flexible and efficient applications that interface with APIs. Datadog provides client libraries so you can programmatically interact with our API to customize dashboards, search metrics, create alerts, and perform other tasks. We’re pleased to announce that we’ve developed and open-sourced two new client libraries for Java and Go in addition to our existing Ruby and Python libraries.