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This article covers the environment keyword in GitLab CI/CD, explaining its role in defining and managing deployment environments within your pipelines. We will explore how it links jobs to specific environments, tracks deployments, and provides access to environment-specific variables, enhancing visibility and control over your continuous delivery process. What is an Environment in GitLab CI/CD? An environment in … Read more

This article covers the retry keyword in GitLab CI/CD, explaining its utility in enhancing pipeline error handling by automatically re-executing failed jobs. We will cover how to configure retry attempts, set delay intervals, and apply it to specific jobs, providing practical examples and best practices. So without any further delay, let us get started! Understanding … Read more

This article covers the cache keyword in GitLab CI/CD, explaining its role in optimizing pipeline performance by storing and reusing dependencies between jobs and pipeline runs. We will cover the mechanics of caching, including keying strategies, path definitions, and cache policies, along with practical examples and best practices for efficient dependency management to speed up … Read more

In today’s blog post, we will discuss GitLab runner tags in .gitlab-ci.yml. Specifically, what is a GitLab runner?, Types of GitLab runners, What is a runner tag?, How to use runner tag in .gitlab-ci.yml. So without a further delay let us get started. What is a GitLab Runner? A GitLab Runner is the lightweight, standalone … Read more

This article covers the include keyword in GitLab CI/CD, detailing its purpose in breaking down large .gitlab-ci.yml files into smaller, manageable, and reusable components. We will cover various inclusion methods like local, remote, template, and project includes, along with best practices for structuring your CI/CD configuration to enhance readability, maintainability, and reusability. Understanding the include … Read more

In GitLab CI/CD, the traditional way pipelines execute is in stages: all jobs within a stage run in parallel, and all jobs in a stage must complete successfully before the next stage begins. While this sequential stage execution works well for many common workflows (build -> test -> deploy), it can become a bottleneck for … Read more

This article explores GitLab CI/CD artifacts, detailing their definition, purpose in passing data between jobs and stages, common use cases like build outputs and test reports, and important considerations such as expiration policies and best practices for efficient pipeline management. Learn how to use artifacts to in your GitLab CI/CD pipeline. Understanding GitLab CI/CD Artifacts … Read more

In today’s blog post, we will discuss rules in .gitlab-ci.yml. GitLab CI/CD pipeline rules offer a highly flexible and intuitive way to manage conditional job execution, allowing your pipelines to adapt dynamically based on various factors like branch names, commit messages, file changes, and even the source of the pipeline trigger. Why rules? The Evolution … Read more

In today’s blog post, we will learn variables in GitLab CI/CD pipeline. Specifically, what are variables? How to define variables in .gitlab-ci.yml, different types of variables in GitLab with examples. So without ant further delay, let us get started. What are Variables in GitLab CI/CD? Variables allow you to store and manage dynamic values that … Read more

In today’s blog post, we will discuss image keyword in .gitlab-ci.yml file. Specifically, what is image keyword in .gitlab-ci.yml?, how to define image with example?, tips and best practices of using image in GitLab CI/CD pipeline. So without any further delay, let us get started. What is the image Keyword? The image keyword in your … Read more