GitHub Articles
What is Natural language processing (NLP)?
Learn what natural language processing (NLP) is and why it's becoming an indispensable technology for developers.
DevOps monitoring tools: Automating your DevOps monitoring processes
At its core, DevOps is a fundamentally data-driven practice. The ability to continuously improve the code that drives a product comes from understanding how it performs, what risks it introduces, and where to find opportunities. Monitoring tools tap into each layer of a product’s technology stack to deliver the data to catch code errors early, improve operational efficiency, and respond rapidly to changes in usage.
Mobile application security
Mobile application security safeguards against threats like reverse engineering attacks, tampering, malware, and data theft. Security breaches risk financial loss and damage to brand credibility. To get the most out of mobile application security, it’s important to understand how it works and how to implement best practices.
Machine Learning (ML) in Software Development
Discover how machine learning (ML) is used in software development to optimize workflows and improve user experiences. Gain insights from real-world examples, learn how developers are integrating ML models into existing pipelines, and explore the future potential of ML in software development.
An introduction to innersource
Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software.
How to improve code with code reviews
Learn about code reviews and gain insights into how they’re essential to increasing code quality. See how code review tools, including AI-powered tools, help development teams streamline the code review process, identify issues, and help developers ship great software faster.
What is the DevOps Model? Exploring foundational practices in DevOps
DevOps helps teams ship high-quality products faster by reducing the friction between writing, testing, and deploying code. GitHub offers a holistic platform designed to help organizations successfully adopt DevOps, making it easier to continuously ship and improve software.
The fundamentals of continuous integration in DevOps
What is continuous integration in DevOps? Continuous integration (CI) is a foundational DevOps practice where development teams integrate code changes from multiple contributors into a shared repository. Automation is used throughout this process to merge, build, and test code to facilitate a higher speed of software development. This process is often called a CI pipeline. When implemented properly, CI enables organizations to quickly identify defects and ship higher-quality software faster.
What is Continuous Deployment?
One of the more advanced automation practices in DevOps. It requires rigorous testing, cross-team collaboration, advanced tools, and workflow processes throughout the design and development stages.
What is containerization?
When it’s successfully implemented, DevOps can transform software reliability by making the software development lifecycle (SDLC) more predictable through a combination of automation and cultural practices that favor deep collaboration and incremental releases. With less chance for variation, fewer code-related issues make it to production.
Application security testing
Application security testing (AST) is the process of making applications more resilient to security threats by evaluating the application to identify potential vulnerabilities that can be exploited. Although organizations have invested billions of dollars into application security, web applications are still vulnerable to a range of cyberattacks. To keep software safe, it’s important to use application security testing tools.