This article provides a current overview of the various licensing and installation (deployment) options for GitLab
Read more »Archive for the ‘GitLab CI’ Category
What’s New in GitLab 19?
GitLab 19 was recently released and we’ve made two unique lists of GitLab features: all features and what’s new
Read more »How to Integrate LiteLLM with git, GitHub and GitLab Workflows?
LiteLLM is a practical way to add AI capabilities to Git-based automation without locking yourself into a single model provider. For teams using GitHub or GitLab, it can sit in the middle as a unified AI gateway for code review, commit assistance, merge request analysis, and CI-driven automations. That makes it especially useful when you […]
Read more »How GitLab Helps Prevent Supply Chain Attacks and Malwares from Entering Development Environments
Using GitLab as your end‑to‑end DevOps platform helps you prevent supply‑chain attacks (like the recent PyPI litellm compromise) and block malware from entering your environment by enforcing controls directly in the CI/CD pipeline, dependency flow, and identity layer. Below is how that maps to your concrete threat model. Note: Implementing these practices requires a GitLab […]
Read more »How Socket Helps Prevent Supply Chain Attacks and Malwares from Entering Development Environments
Socket.dev prevents supply chain attacks by scanning dependencies for malware signatures, obfuscated code, and suspicious behaviors like data exfiltration or unauthorized API calls in JS, Python, and Go packages. Integrated into GitHub, GitLab, and Jenkins CI/CD pipelines, it blocks threats at the PR stage without uploading source code, complementing tools like SonarQube in DevSecOps workflows.
Read more »What’s New in GitLab 18?
GitLab 18 was recently released and we’ve made two unique lists of GitLab features: all features and what’s new
Read more »AI Detects Code Vulnerabilities, but Who Governs the Risk?
AI-assisted vulnerability detection is evolving rapidly, but the complex challenges of enforcement, governance, and supply chain security require a holistic platform like GitLab.
Read more »Fix GitLab CI Minutes Limit: Switch to Private Runners in Minutes (2026 Guide)
Ran out of GitLab shared runner CI minutes? This 2026 guide shows you how to deploy unlimited private GitLab runners using Docker in under 10 minutes. Disable shared runners, register your own runner, and bypass quotas forever – no Kubernetes required. Perfect for DevOps teams hitting CI limits
Read more »GitLab 2025 Release Highlights: AI-First DevSecOps, Better CI/CD, and What’s Next in 2026
Recap of GitLab’s 2025 releases: GitLab Duo agentic AI, CI/CD hardening, version control wins and 2026 outlook
Read more »GitLab Projects We Have Implemented Over the Years (2026)
Here we list GitLab projects we have implemented over the years for our customers – all based on GitLab commercial editions or free
Read more »GitLab Duo Agent Platform: AI Agents Transforming DevSecOps
This article shares our perspective on the new GitLab Duo Agent Platform (DAP), based on our experience as long-time GitLab partners providing support and professional services
Read more »How Docker Integrates with Git and GitLab: A DevOps Overview
Overview of how Docker connects with git and GitLab, offering best practices for workflows optimized for today’s DevOps environments
Read more »Why Teams Couple SonarQube and GitLab ?
This acticle explanis why software teams couple SonarQube and GitLab. It provides some common use cases and how to integrate both tools
Read more »What Components are Running in GitLab Behind the Scenes?
Understanding GitLab’s infrastructure and architecture helps to understand the implications for future challenges and problems
Read more »Watch: GitLab 18 Virtual Launch Event
Join the virtual launch event and see how you can make your entire SDLC smarter, faster, and more secure. Recording is ready! Watch now: Date: Tuesday, June 24, 2025Time: Choose your preferred timezone!Duration: 1 hour & 30 mins AI has transformed software development, enabling faster code contributions but revealing new challenges: fragmented toolchains, limited AI […]
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