Gitlab

Learn how GitLab DevSecOps empowers enterprises to balance innovation and security. Gain leadership insights to transform development culture

Introduction to DevSecOps with GitLab CI/CD

In today’s fast-paced world of software development, the need for security and efficiency has never been more critical. DevOps practices have transformed the way we build, test, and deploy software, enabling faster delivery and collaboration between development and operations teams. However, with the ever-evolving landscape of security threats, it has become evident that simply practicing …

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git unstaged changes

Unstaging Changes in Git: A Step-by-Step Tutorial

Understanding how to manage your changes is a crucial aspect of using Git, and knowing how to unstaged changes effectively can help streamline your workflow. In this tutorial, we will walk you through the process of undoing git staged changes step by step. All examples also work with GitLab. Scenario: Imagine you’re working on a …

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Practical Example of GitLab CI YML Examples

Practical Examples of GitLab CI YML

In this tutorial, we’ll explore a real-world project scenario that requires the creation of a GitLab Continuous Integration (CI) pipeline using GitLab CI/CD. We’ll provide practical examples and explain the importance of gitlab ci yml examples in your DevOps workflow. Let’s say you are part of a development team at a small software company. Your …

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GitLab

Multi-Account AWS SAM Deployments with GitLab CI/CD

Introduction The AWS Serverless Application Model (SAM) is a robust framework that enables developers to define, deploy, and manage serverless applications. With the rise of serverless computing, continuous integration and delivery (CI/CD) has become increasingly important in the development process. GitLab CI/CD is an excellent tool for automating application deployment workflows, making it an ideal …

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GitLab CI Cache

GitLab CI Cache

Hello BitsLovers! Today will talk about Gitlab CI Cache. It’s crucial to know how to work with Gitlab Cache to improve performance and save us a lot of time. For example, we may want to use caches to not need downloading content, like dependencies or libraries, each time we run a job —for example, Java …

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