GitLab Package Registry

GitLab Package Registry

The GitLab Package Registry is an integrated, centralized repository for various software packages and dependencies, allowing development teams to host, manage, and share their project’s building blocks directly within their GitLab projects and groups. It is a crucial component for streamlining artifact management in a DevOps workflow, reducing the need for external tools and simplifying … Read more

GitLab Container Registry

GitLab Container Registry

The GitLab Container Registry is a secure and private registry for container images (like Docker images and OCI-compliant images) that is fully integrated into GitLab. It allows you to store, manage, and share your container images directly within your GitLab projects, streamlining your DevOps workflow. What is the GitLab Container Registry? A container registry is … Read more

GitLab CI/CD – Secrets

GitLab CI/CD – Secrets

This article covers the secrets keyword in GitLab CI/CD, explaining its utility in securely passing external secrets (like those from HashiCorp Vault) into your pipeline jobs. We will explore how to define secret variables, specify their providers, and manage their access within your CI/CD configuration, ensuring sensitive information remains protected while enabling secure interactions with … Read more

GitLab CI/CD – Release

GitLab CI CD - Release

This article covers the release keyword in GitLab CI/CD, explaining its use in automating the creation of project releases directly from your CI/CD pipeline. We will explore how to define release details like name, tag, description, and asset links, providing practical examples and best practices for streamlining your code release management process. Understanding the release … Read more

GitLab CI/CD – Environment

GitLab CI CD Environment

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

GitLab CI/CD – Retry

GitLab CI CD - Retry

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

GitLab CI/CD – Cache

GitLab CI CD – Cache

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

GitLab CI/CD – Runner Tags

GitLab CI/CD - Runner Tags

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

GitLab CI/CD – Include

GitLab CI CD Include

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

GitLab CI/CD – Needs

GitLab CI/CD - Needs

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