This guide explains why parallel task handling matters for CI/CD efficiency, details the core 'concurrent' setting in GitLab Runner's config.toml, shows step‑by‑step configuration across platforms, and demonstrates how to combine it with the .gitlab-ci.yml 'parallel' keyword for fine‑grained job scheduling.
Choosing the right GitLab Runner executor—shell or Docker—determines how jobs interact with the host, affecting speed, isolation, security, and reproducibility, and this guide compares their core features, use cases, risks, deployment options, and best‑practice recommendations for robust CI/CD pipelines.
Learn how to configure a single GitLab Runner on an Ubuntu server to handle both shell and Docker executors by registering multiple runner instances, assigning distinct tags, and using .gitlab-ci.yml job tags for precise task scheduling, complete with step‑by‑step commands and examples.
This article details how Moka migrated its CI/CD pipeline to Alibaba Cloud's serverless container service (ACS) on an ACK cluster, addressing high concurrency pain points, implementing step‑by‑step runner configuration, and achieving significant cost savings, higher resource utilization, and faster job execution.
This article explains how the Android department uses Ansible to automate server deployment, detailing installation, inventory setup, playbook structure, and example configurations for Cockpit monitoring and GitLab Runner, including command snippets and code examples to streamline operations.
This guide explains how to enable Prometheus metrics on GitLab Runner, configure the runner’s HTTP endpoint, collect the metrics with Prometheus, and visualize both runner and CI pipeline data in Grafana using ready‑made dashboards.
This article provides a comprehensive guide to installing GitLab Runner on various platforms, explains version and Docker requirements, details registration types and token retrieval, and presents both interactive and non‑interactive registration commands along with common runner commands and a sample pipeline configuration.
This guide explains the fundamentals of CI/CD, the benefits of automation, and provides a step‑by‑step tutorial on configuring GitLab CI/CD pipelines, including .gitlab-ci.yml syntax, job and stage definitions, runner installation, manual approvals, and scheduled executions using cron syntax.
This article outlines four practical strategies to accelerate CI/CD pipelines—using a self‑hosted GitLab Runner, caching build dependencies, employing lightweight Alpine images for CI jobs, and conditionally running jobs only when relevant files change—to improve developer efficiency.
This guide explains the fundamentals of continuous integration, continuous delivery, and continuous deployment, walks through a complete CI/CD workflow, and provides practical examples using GitLab CI, Docker, and GitLab Runner to automate building, testing, and deploying applications.
To accelerate CI/CD pipelines, the article recommends using self‑hosted GitLab Runners on a private cloud to eliminate network bottlenecks, caching build dependencies locally, employing lightweight Alpine images for faster container pulls, and limiting job execution to changed files via the only:changes directive.
This article provides a comprehensive overview of GitLab CI/CD, covering its core concepts—pipelines, stages, jobs, and runners—along with .gitlab-ci.yml configuration, variables, triggers, DAG pipelines, runner types, cloud‑native capabilities, efficiency management, and practical demo examples to help teams implement robust DevOps workflows.
This guide walks you through installing GitLab Runner via Docker, configuring its types and states, registering it with a GitLab instance, and creating a simple .gitlab-ci.yml pipeline to verify end‑to‑end CI/CD functionality.
This article provides a step‑by‑step guide to GitLab CI/CD, covering pipeline concepts, a sample .gitlab-ci.yml configuration, job and stage definitions, runner installation and registration, and secure SSH‑based deployment using Docker‑based runners.
This tutorial walks you through integrating Cube's API into a GitLab CI pipeline, covering runner setup, custom update commands, YAML template preparation, and a complete .gitlab-ci.yml example to achieve fully automated deployment from code push to Cube.
This comprehensive guide walks frontend developers through the concepts, benefits, and step‑by‑step implementation of automated deployment using GitLab CI, covering pipeline mechanics, runner configuration, YAML syntax, practical .gitlab-ci.yml examples, common pitfalls, and advanced features to streamline continuous integration and delivery.
This guide details how to enable Prometheus metrics on GitLab Runner, configure Prometheus to scrape those metrics, and set up the gitlab-ci-pipelines-exporter with Grafana dashboards to monitor both runner performance and CI/CD pipeline health.
This guide explains how to deploy MinIO object storage on Kubernetes using a PersistentVolume and Helm, configure GitLab Runner to use MinIO as an S3 cache, troubleshoot common issues, and verify the setup with a sample CI pipeline.
This tutorial explains how to install GitLab Runner on various platforms, register different runner types, retrieve tokens, and use common commands for managing the runner and executing CI/CD pipelines, providing code examples for Docker, CentOS, macOS, and interactive or non‑interactive registration.
This tutorial explains how to install GitLab Runner on various platforms, register it in different modes, and use common commands to manage CI/CD pipelines for continuous integration, including Docker-based setups and example pipeline configurations.
This article documents a multi‑stage investigation of intermittent GitLab Runner build timeouts and hangs, describing the background, VM configuration, successive diagnostic steps using strace, iotop, perf, and storage‑driver adjustments, and concludes with performance test results and lessons learned.
