Search Results for "cover"

The Operator SDK makes it easier to build Kubernetes native applications, a process that can require deep, application-specific operational knowledge. The Operator SDK provides the tools to build, test, and package Operators. Initially, the SDK facilitates the marriage of an application’s business logic (for example, how to scale, upgrade, or backup) with the Kubernetes API to execute those operations. Over time, the SDK can allow engineers to make applications smarter and have the user...

...Rather than being a single cohesive application, it serves as a repository of practical command-line tools that can be used independently or combined into workflows. The scripts cover a wide range of tasks, including URL manipulation, parameter replacement, data extraction, and reconnaissance automation. Many of the tools in the repository are designed for efficiency and simplicity, enabling users to perform complex operations with minimal overhead. It is particularly popular among security researchers and developers who need quick, flexible solutions for niche problems.

...It serves as a shared foundation for IO helpers, messaging formats, and other utilities that would otherwise be copy-pasted between codebases. The repository is versioned and published as Go modules, making it easy to import stable subsets into downstream applications. Individual subpackages cover concerns like streaming IO and JSON message structures, keeping implementations small and composable. By consolidating these pieces, the ecosystem around frp/fft benefits from consistent behavior and fewer bespoke dependencies. The code is released under the Apache-2.0 license, enabling broad adoption in both open and closed source contexts.

Google Cloud Platform Go Samples repository is a comprehensive collection of Go-based code examples that demonstrate how to build applications and services using Google Cloud Platform. It provides developers with practical implementations that cover a wide spectrum of cloud functionalities, including storage, compute, networking, and machine learning services. Each sample is designed to be easily reusable, allowing developers to copy code directly into their own projects as a starting point for development. The repository includes both simple quickstart examples and more advanced application patterns, often accompanied by documentation guides that explain how to deploy and run them in different environments. ...

This repository holds the Uber Go Style Guide, which documents patterns and conventions used in Go code at Uber. Styles are the conventions that govern our code. The term style is a bit of a misnomer, since these conventions cover far more than just source file formatting—gofmt handles that for us. The goal of this guide is to manage this complexity by describing in detail the Dos and Don'ts of writing Go code at Uber. These rules exist to keep the code base manageable while still allowing engineers to use Go language features productively. This guide was originally created by Prashant Varanasi and Simon Newton as a way to bring some colleagues up to speed with using Go. ...

audit2rbac takes a Kubernetes audit log and username as input, and generates RBAC role and binding objects that cover all the API requests made by that user.

...The README explains that the original author, Ivo Balbaert, granted authorization for the translation and even for updating certain content to match newer Go versions. The repository is structured like a full book: there are directories for cover and eBook materials, a table of contents file (TOC.md), configuration for building, and the chapters themselves in Markdown. It also documents translation progress, acknowledges all translators and reviewers by handle, and explains how new contributors can help correct or extend the text.

...Due to the complexity of algorithm knowledge points, it is necessary to classify the algorithms you have learned and the questions you have done. An algorithm template should cover the following points. Basic introduction to the algorithm (core idea, complexity, etc.) Reference links or book chapters (good material) Template code (can contain some comments, usage instructions) Template supplements (extra codes in common question types, modeling tips, etc.) Related topic links (template questions, classic questions, thinking conversion questions, etc.) ...