AI & Machine Learning

Shared Workflows: minha experiência definindo pipelines reutilizáveis

20 sec read61 views0 listens

The article describes the creation of reusable GitHub workflows for backend Node.js projects and AWS infrastructure to reduce redundancy and standardize practices across multiple teams. Key takeaways include using reusable workflows, parameterization, local testing, and documentation for successful implementation.

Read the full article at DEV Community

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.

I Built a Tool That Does All My DevOps Work For Me.

Adedamola Ayinuola has developed SwiftDeploy, a command-line tool that automates the deployment of web applications from a single configuration file, significantly simplifying and securing DevOps processes. This innovation is crucial for developers s...

Ali Nemati

AI & Machine LearningApr 1257 sec read

Leiningen - Complete Tutorial & Best Practices

This guide provides a comprehensive overview of how to set up and manage a Clojure project using Leiningen, the standard build tool for Clojure projects. It covers essential aspects such as setting up your environment, managing dependencies, running ...

Ali Nemati

AI & Machine LearningApr 71m & 1 s read

How to Set Up Automated Accessibility Testing in GitHub Actions (Copy-Paste Config)

Automated accessibility testing is an essential practice for ensuring that web applications are inclusive and usable by people with disabilities. The process described in your post outlines a straightforward way to integrate automated testing into yo...

Ali Nemati

AI & Machine LearningMar 2834 sec read

GitHub Contribution Graph Manipulation Tool Misleads Viewers, Violates Terms of Service: Removal Recommended

An interactive web tool allows users to manipulate their GitHub contribution graphs for aesthetic purposes, exploiting the platform's lack of metadata checks and visual aggregation mechanism. This manipulation can mislead viewers into overestimating ...

Ali Nemati

AI & Machine LearningFeb 2722 sec read

Unpacking GitHub Actions Delays: When Self-Hosted Runners Go Idle But Workflows Stay Queued

A GitHub Community discussion highlights an issue where self-hosted runners appear idle but workflows remain queued, delaying development processes and impacting efficiency. This unpredictability undermines trust in automated systems and necessitates...

Ali Nemati

Shared Workflows: minha experiência definindo pipelines reutilizáveis

Related Articles

I Built a Tool That Does All My DevOps Work For Me.

Leiningen - Complete Tutorial & Best Practices

How to Set Up Automated Accessibility Testing in GitHub Actions (Copy-Paste Config)

GitHub Contribution Graph Manipulation Tool Misleads Viewers, Violates Terms of Service: Removal Recommended

Unpacking GitHub Actions Delays: When Self-Hosted Runners Go Idle But Workflows Stay Queued