[{"data":1,"prerenderedAt":824},["ShallowReactive",2],{"/en-us/blog/gitlab-package-roadmap-for-2024":3,"navigation-en-us":40,"banner-en-us":461,"footer-en-us":471,"blog-post-authors-en-us-Tim Rizzi":711,"blog-related-posts-en-us-gitlab-package-roadmap-for-2024":726,"blog-promotions-en-us":761,"next-steps-en-us":814},{"id":4,"title":5,"authorSlugs":6,"authors":8,"body":10,"category":11,"categorySlug":11,"config":12,"content":16,"date":24,"description":17,"extension":25,"externalUrl":26,"featured":15,"heroImage":19,"isFeatured":15,"meta":27,"navigation":28,"path":29,"publishedDate":24,"rawbody":30,"seo":31,"slug":14,"stem":35,"tagSlugs":36,"tags":38,"template":13,"updatedDate":26,"__hash__":39},"blogPosts/en-us/blog/gitlab-package-roadmap-for-2024.md","GitLab Package roadmap for 2024",[7],"tim-rizzi",[9],"Tim Rizzi","_TLDR; In 2024, GitLab will deliver a dependency proxy for Maven, npm, PyPI, and NuGet (stretch). In addition, we'll expand the dependency proxy for containers to work with any external container registry, not just public Docker Hub accounts._\n\n2023 is nearly over. I'd like to take a minute to share some features for [GitLab Package](https://about.gitlab.com/stages-devops-lifecycle/package/) to look forward to in 2024. These new features will enable enterprise customers to consolidate on GitLab for artifact management, and help save money on licensing costs for JFrog/Sonatype and improve the developer experience.\n\n## Package registry\n\nAs the product manager for the Package stage, I have spent the past four years talking to customers and prospects about how they can replace their Artifactory or Sonatype instance with GitLab Package. Although we have helped many smaller organizations to consolidate on GitLab, it's been a challenge to help larger, more complex organizations to do so. Why? Because larger organizations typically need to pull packages from multiple repositories. Artifactory and Nexus offer a feature called virtual registries, which act as a single access point to download, install, or deploy artifacts in the same format from one or more upstream repositories.\n\nThis functionality can:\n- make pipelines faster\n- make pipelines more reliable\n- reduce the cost of data transfer because over time most packages will be pulled from the cache\n\nEach dependency proxy format will give users the ability to add/configure one external repository. \n\nOnce added, when a user tries to install a package using their project-level endpoint, GitLab will first look for the package in the project and, if it's not found, attempt to pull the package from the external repository.\n\nWhen a package is pulled from the external repository, it will be imported into the GitLab project so that the next time that particular package/version is pulled it's pulled from GitLab and not the external repository.\n\nIf the package is not found in their GitLab project or the external repository, GitLab will return an error.\n\n- This feature and all future dependency proxy formats will be in the Premium tier.\n- Project owners will be able to configure this via a project's settings (API or UI).\n- We will support external repositories that require authentication, such as Artifactory or Sonatype.\n\nTo support this theme, we will also likely need to invest in related features, such as those listed in the issues below, which focus on the performance of the registry or giving more fine-grained access control to customers:\n- [Add a dependency proxy scope for GitLab tokens](https://gitlab.com/gitlab-org/gitlab/-/issues/336800)\n- [Improve Package Registry metadata generation](https://gitlab.com/groups/gitlab-org/-/epics/9835)\n- [Package registry authentication token](https://gitlab.com/gitlab-org/gitlab/-/issues/328765)\n\n## Container registry\nToday, GitLab.com is supported by the next-generation container registry and we've seen many performance and reliability improvements.\n\nIn 2024, we will focus on:\n- Getting the [container registry to GA for self-managed customers](https://gitlab.com/groups/gitlab-org/-/epics/5521)\n- [Improving the UI/UX of the container registry](https://gitlab.com/groups/gitlab-org/-/epics/3211)\n- Adding support for [granular access protection for container registries](https://gitlab.com/groups/gitlab-org/-/epics/9825) and [immutable container image tags](https://gitlab.com/gitlab-org/container-registry/-/issues/82)\n- Adding an integration with Google Cloud Platform's Artifact Registry to help [make deploying container images from GitLab to GCP easy](https://gitlab.com/groups/gitlab-org/-/epics/11443)\n\nThis functionality will:\n- help customers to reduce their storage costs\n- make the container registry more performant and reliable\n- make the GitLab team more efficient (by avoiding maintaining two codebases)\n\nWe have exciting plans for 2024! Please follow along as we make the package and container registries more useful, easier to use, and more secure.\n\n_Disclaimer: This blog contains information related to upcoming products, features, and functionality. It is important to note that the information in this blog post is for informational purposes only. Please do not rely on this information for purchasing or planning purposes. As with all projects, the items mentioned in this blog and linked pages are subject to change or delay. The development, release, and timing of any products, features, or functionality remain at the sole discretion of GitLab._","product",{"template":13,"slug":14,"featured":15},"BlogPost","gitlab-package-roadmap-for-2024",false,{"title":5,"description":17,"authors":18,"heroImage":19,"tags":20,"category":11,"date":24,"body":10},"GitLab is launching new package and container registry features to help enterprise customers consolidate on GitLab for artifact management.\n",[9],"https://res.cloudinary.com/about-gitlab-com/image/upload/v1749669103/Blog/Hero%20Images/AdobeStock_243118595.jpg",[11,21,22,23],"news","features","DevSecOps","2024-01-16","md",null,{},true,"/en-us/blog/gitlab-package-roadmap-for-2024","---\nseo:\n  title: GitLab Package roadmap for 2024\n  description: >\n    GitLab is launching new package and container registry features to help\n    enterprise customers consolidate on GitLab for artifact management.\n  ogTitle: GitLab Package roadmap for 2024\n  ogDescription: >\n    GitLab is launching new package and container registry features to help\n    enterprise customers consolidate on GitLab for artifact management.\n  noIndex: false\n  ogImage: >-\n    https://res.cloudinary.com/about-gitlab-com/image/upload/v1749669103/Blog/Hero%20Images/AdobeStock_243118595.jpg\n  ogUrl: https://about.gitlab.com/blog/gitlab-package-roadmap-for-2024\n  ogSiteName: https://about.gitlab.com\n  ogType: article\n  canonicalUrls: https://about.gitlab.com/blog/gitlab-package-roadmap-for-2024\ntitle: GitLab Package roadmap for 2024\ndescription: |\n  GitLab is launching new package and container registry features to help enterprise customers consolidate on GitLab for artifact management.\nauthors:\n  - Tim Rizzi\nheroImage: https://res.cloudinary.com/about-gitlab-com/image/upload/v1749669103/Blog/Hero%20Images/AdobeStock_243118595.jpg\ntags:\n  - product\n  - news\n  - features\n  - DevSecOps\ncategory: product\ndate: '2024-01-16'\nslug: gitlab-package-roadmap-for-2024\nfeatured: false\ntemplate: BlogPost\n---\n\n_TLDR; In 2024, GitLab will deliver a dependency proxy for Maven, npm, PyPI, and NuGet (stretch). In addition, we'll expand the dependency proxy for containers to work with any external container registry, not just public Docker Hub accounts._\n\n2023 is nearly over. I'd like to take a minute to share some features for [GitLab Package](https://about.gitlab.com/stages-devops-lifecycle/package/) to look forward to in 2024. These new features will enable enterprise customers to consolidate on GitLab for artifact management, and help save money on licensing costs for JFrog/Sonatype and improve the developer experience.\n\n## Package registry\n\nAs the product manager for the Package stage, I have spent the past four years talking to customers and prospects about how they can replace their Artifactory or Sonatype instance with GitLab Package. Although we have helped many smaller organizations to consolidate on GitLab, it's been a challenge to help larger, more complex organizations to do so. Why? Because larger organizations typically need to pull packages from multiple repositories. Artifactory and Nexus offer a feature called virtual registries, which act as a single access point to download, install, or deploy artifacts in the same format from one or more upstream repositories.\n\nThis functionality can:\n- make pipelines faster\n- make pipelines more reliable\n- reduce the cost of data transfer because over time most packages will be pulled from the cache\n\nEach dependency proxy format will give users the ability to add/configure one external repository. \n\nOnce added, when a user tries to install a package using their project-level endpoint, GitLab will first look for the package in the project and, if it's not found, attempt to pull the package from the external repository.\n\nWhen a package is pulled from the external repository, it will be imported into the GitLab project so that the next time that particular package/version is pulled it's pulled from GitLab and not the external repository.\n\nIf the package is not found in their GitLab project or the external repository, GitLab will return an error.\n\n- This feature and all future dependency proxy formats will be in the Premium tier.\n- Project owners will be able to configure this via a project's settings (API or UI).\n- We will support external repositories that require authentication, such as Artifactory or Sonatype.\n\nTo support this theme, we will also likely need to invest in related features, such as those listed in the issues below, which focus on the performance of the registry or giving more fine-grained access control to customers:\n- [Add a dependency proxy scope for GitLab tokens](https://gitlab.com/gitlab-org/gitlab/-/issues/336800)\n- [Improve Package Registry metadata generation](https://gitlab.com/groups/gitlab-org/-/epics/9835)\n- [Package registry authentication token](https://gitlab.com/gitlab-org/gitlab/-/issues/328765)\n\n## Container registry\nToday, GitLab.com is supported by the next-generation container registry and we've seen many performance and reliability improvements.\n\nIn 2024, we will focus on:\n- Getting the [container registry to GA for self-managed customers](https://gitlab.com/groups/gitlab-org/-/epics/5521)\n- [Improving the UI/UX of the container registry](https://gitlab.com/groups/gitlab-org/-/epics/3211)\n- Adding support for [granular access protection for container registries](https://gitlab.com/groups/gitlab-org/-/epics/9825) and [immutable container image tags](https://gitlab.com/gitlab-org/container-registry/-/issues/82)\n- Adding an integration with Google Cloud Platform's Artifact Registry to help [make deploying container images from GitLab to GCP easy](https://gitlab.com/groups/gitlab-org/-/epics/11443)\n\nThis functionality will:\n- help customers to reduce their storage costs\n- make the container registry more performant and reliable\n- make the GitLab team more efficient (by avoiding maintaining two codebases)\n\nWe have exciting plans for 2024! Please follow along as we make the package and container registries more useful, easier to use, and more secure.\n\n_Disclaimer: This blog contains information related to upcoming products, features, and functionality. It is important to note that the information in this blog post is for informational purposes only. Please do not rely on this information for purchasing or planning purposes. As with all projects, the items mentioned in this blog and linked pages are subject to change or delay. 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Patch Release: 18.11.2, 18.10.5","Learn about this release for GitLab Community Edition and Enterprise Edition.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749661926/Blog/Hero%20Images/security-patch-blog-image-r2-0506-700x400-fy25_2x.jpg","2026-04-29",[734],"patch releases",{"featured":15,"template":13,"externalUrl":736},"https://docs.gitlab.com/releases/patches/patch-release-gitlab-18-11-2-released/",{"content":738,"config":744},{"title":739,"description":740,"heroImage":731,"date":741,"category":11,"tags":742},"GitLab Patch Release: 18.11.1, 18.10.4, 18.9.6","Discover what's in this latest patch release.","2026-04-22",[734,743],"security releases",{"featured":15,"template":13,"externalUrl":745},"https://docs.gitlab.com/releases/patches/patch-release-gitlab-18-11-1-released/",{"content":747,"config":759},{"title":748,"description":749,"body":750,"category":11,"tags":751,"date":754,"authors":755,"heroImage":758},"GitLab + Amazon: Platform orchestration on a trusted AI foundation","Pair GitLab Duo Agent Platform with Amazon Bedrock for agentic software development and orchestration.","If your team runs GitLab and has a strong AWS practice, a new combination of Duo Agent Platform and Amazon Bedrock is just for you. The model is simple: GitLab acts as your orchestration layer to help accelerate your entire software lifecycle with agentic AI, and Bedrock is designed to provide a secure, compliant foundation model layer with AI inference behind the scenes.\n\nGitLab Duo Agent Platform enables you to handle planning, merge pipelines, security scanning, vulnerability remediation, and more as part of your GitLab workflows, while the GitLab AI Gateway routes model calls to Bedrock (or GitLab-managed Bedrock-backed endpoints, depending on your setup). That means you can build on the identity and access management (IAM) policies, virtual private cloud (VPC) boundaries, regional controls, and cloud spend commitments you already have in AWS.\n\nIf you already use Amazon Bedrock and want AI to help inside the work you already do in GitLab, not in yet another standalone chat tool, this is the pairing for you.\n\n\nIn this article, we look at the real problem many teams face today: AI is fragmented, data paths are fuzzy, and Bedrock investment gets underused when AI sits outside the software development lifecycle. Then we break down your deployment options for GitLab Duo Agent Platform:\n\n* Integrated with self-hosted models on Amazon Bedrock for GitLab Self-Managed deployments and self-hosted AI gateway   \n* Integrated with GitLab-operated models on Amazon Bedrock (with GitLab-owned keys) for GitLab Self-Managed deployments and GitLab-hosted AI gateway  \n* Integrated with GitLab-operated models on Amazon Bedrock (with GitLab-owned keys) for GitLab.com instances and GitLab-hosted AI gateway\n\nWe wrap with a summary on how this approach helps avoid shadow AI and point-tool sprawl without creating a parallel tech stack for AI tooling.\n\n## AI everywhere, control nowhere\n\nSomewhere in your company right now, software teams might be using an AI tool that your security team hasn't approved. Prompt data might be leaving your environment through a path no one has fully mapped. And your organization’s Amazon Bedrock investment might be underused while individual teams expense separate AI tools, pulling workloads and cloud spend away from the platforms you’ve already committed to.\n\nInstead of being a people problem, this might be an architecture problem. And it surfaces the same three constraints in nearly every enterprise:\n\n**Operational fragmentation.** Each team, or sometimes even an individual developer, picks their own development toolset, including AI tooling and model selection. That fragmentation makes end-to-end governance within the software development lifecycle nearly impossible.\n\n**Security and sovereignty.** Where does prompt and code data actually flow? Who owns the logs?\n\n**Cloud spend optimization.** Commitments to key cloud providers like AWS are diluted as workloads and AI usage drift to point tools outside of customers’ existing agreements.\n\nGitLab Duo Agent Platform and Amazon Bedrock help solve this together. The division of labor is straightforward: Duo Agent Platform owns the workflow orchestration with agentic AI for software development, Bedrock owns the inference layer and hosts approved foundational models, and your organization has full control over the data and policy boundaries you already defined in AWS. Three jobs, three owners, no fragmentation.\n\n## GitLab Duo Agent Platform: The agentic control plane\n\nGitLab Duo Agent Platform is GitLab's agentic AI layer: a framework of specialized agents and flows that operate simultaneously and in-parallel, going beyond the traditional stage-based handoffs  and helping automate work across the entire software lifecycle. Rather than a single assistant responding to prompts, Duo Agent Platform enables teams to orchestrate many AI agents asynchronously using unified data and project context, including issues, merge requests, pipelines, and security findings. Linear workflows are turned into coordinated, continuous collaboration between software teams and their AI agents, at scale.\n\nWith that control plane in place, the natural next question is which AI foundation should power these agents. For customers who run GitLab Self-Managed on AWS and need inference traffic, prompt data, and logs to also stay within their AWS environment along with their software lifecycle data, Amazon Bedrock acting as the AI inference layer is the natural fit. \n\n## Amazon Bedrock: The trusted AI foundation\n\nAmazon Bedrock is a fully managed, serverless foundation model layer that runs entirely within your AWS environment. Customer data stays in the customer's AWS account: inputs and outputs are encrypted in transit and at rest, never shared with model providers, and never used to train base models. Bedrock carries compliance certifications across GDPR, HIPAA, and FedRAMP High, covering many regulated industry requirements out of the box. Teams can also bring fine-tuned models from elsewhere via Custom Model Import and deploy them alongside native Bedrock models through the same infrastructure, without managing separate deployment pipelines. Bedrock Guardrails adds configurable safeguards across all models for content filtering, hallucination detection, and sensitive data protection.\n\nTogether, GitLab Duo Agent Platform and Bedrock consolidate DevSecOps orchestration and AI model governance, helping eliminate the fragmentation that happens when teams roll out AI tools independently.\n\n## Choosing your deployment path\n\nThe integration delivers the same core GitLab Duo Agent Platform capabilities regardless of how it is deployed. What varies is who runs GitLab, who operates the AI Gateway, and whose Bedrock account the inference runs through. The right pattern depends on where your organization already operates.\n\nAt a high level, the integration has three main components:\n\n* **GitLab Duo Agent Platform:** agentic workflows embedded across the software development lifecycle  \n* **AI Gateway (GitLab-managed or self-hosted):** the abstraction layer between Duo Agent Platform and the foundational model backend   \n* **Amazon Bedrock:** the AI model and inference substrate\n\n![Deployment of GitLab and AWS Bedrock](https://res.cloudinary.com/about-gitlab-com/image/upload/v1776362365/udmvmv2efpmwtkxgydch.png)\n\nChoosing a deployment pattern is informed by where an organization wants to place the levers of control. The patterns below are designed to meet teams where they already are, whether that's SaaS-first, self-managed for compliance, or all-in on AWS with existing Bedrock investments.\n\n| Deployment Model | GitLab.com instance with GitLab-hosted AI Gateway with GitLab-operated Bedrock models   | GitLab Self-Managed with GitLab-hosted AI Gateway with GitLab-operated Bedrock models | GitLab Self-Managed  with self-hosted AI Gateway and customer-operated Bedrock models |\n| :---- | :---- | :---- | :---- |\n| **Ideal if you:** | Are primarily on GitLab.com and don’t want to self-host AI gateway and Bedrock models  | Need GitLab Self-Managed for compliance and operational reasons but don’t want to manage AI layer | Are AWS-centric with existing Bedrock usage and strict data/control needs  |\n| **Key Benefits** | Fastest, turnkey way to get Duo Agent Platform workflows: GitLab runs GitLab.com, the AI Gateway, integrated with Bedrock AI models. | Keep GitLab deployed in your own environment while consuming Bedrock models via a GitLab-managed AI Gateway, combining deployment control with simplified AI operations. | Run GitLab and AI Gateway in your AWS account, reuse existing IAM/VPC/regions, keep logs and data in your environment, and draw Bedrock usage from your existing AWS spend commitments. |\n\n## How customers use GitLab Duo Agent Platform with Amazon Bedrock\n\nPlatform teams can use GitLab Duo Agent Platform with Amazon Bedrock to standardize which models handle code suggestions, security analysis, and pipeline remediation. This helps enforce guardrails and logging centrally rather than letting individual teams adopt separate tools independently.\n\nSecurity workflows see particular benefit. GitLab Duo Agent Platform agents can propose and validate fixes for security findings within GitLab, helping reduce the manual triage work developers would otherwise handle outside the platform.\n\nFor enterprises already committed to AWS, routing AI workloads through Bedrock from within GitLab enables you to keep developer AI usage aligned with existing cloud agreements rather than generating separate, unplanned spend.\n\n## Closing the loop\n\nThe constraints that slow enterprise AI adoption are often not technical. They are organizational: fragmented tooling, ungoverned data flows, and cloud spend that never consolidates. Those are the problems that can stall AI programs even after the pilots succeed.\n\nGitLab Duo Agent Platform and Amazon Bedrock help address each one directly. Platform teams get consistent governance, auditability, and standardized paths for AI usage across the software development lifecycle. Development teams get streamlined, agentic workflows that feel native to GitLab. And AWS-centric organizations get to extend their existing Bedrock investment rather than build parallel AI infrastructure alongside it.\n\nThe result is an AI program that scales without fragmenting. Governance and velocity on the same stack, serving the same teams, under policies the organization already owns.\n\n\n> To explore which deployment pattern is right for your organization and how to align GitLab Duo Agent Platform and Amazon Bedrock with your existing AWS strategy, [contact the GitLab sales team](https://about.gitlab.com/sales/) and we’ll help you design and implement the best architecture for your environment. You can also [visit our AWS partner page](https://about.gitlab.com/partners/technology-partners/aws/) to learn more.",[288,752,753],"AWS","AI/ML","2026-04-21",[756,757],"Joe Mann","Mark Kriaf","https://res.cloudinary.com/about-gitlab-com/image/upload/v1776362275/ozbwn9tk0dditpnfddlz.png",{"featured":28,"template":13,"slug":760},"gitlab-amazon-platform-orchestration-on-a-trusted-ai-foundation",{"promotions":762},[763,777,788,800],{"id":764,"categories":765,"header":767,"text":768,"button":769,"image":774},"ai-modernization",[766],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":770,"config":771},"Get your AI maturity score",{"href":772,"dataGaName":773,"dataGaLocation":251},"/assessments/ai-modernization-assessment/","modernization assessment",{"config":775},{"src":776},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/qix0m7kwnd8x2fh1zq49.png",{"id":778,"categories":779,"header":780,"text":768,"button":781,"image":785},"devops-modernization",[11,37],"Are you just managing tools or shipping innovation?",{"text":782,"config":783},"Get your DevOps maturity score",{"href":784,"dataGaName":773,"dataGaLocation":251},"/assessments/devops-modernization-assessment/",{"config":786},{"src":787},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138785/eg818fmakweyuznttgid.png",{"id":789,"categories":790,"header":792,"text":768,"button":793,"image":797},"security-modernization",[791],"security","Are you trading speed for security?",{"text":794,"config":795},"Get your security maturity score",{"href":796,"dataGaName":773,"dataGaLocation":251},"/assessments/security-modernization-assessment/",{"config":798},{"src":799},"https://res.cloudinary.com/about-gitlab-com/image/upload/v1772138786/p4pbqd9nnjejg5ds6mdk.png",{"id":801,"paths":802,"header":805,"text":806,"button":807,"image":812},"github-azure-migration",[803,804],"migration-from-azure-devops-to-gitlab","integrating-azure-devops-scm-and-gitlab","Is your team ready for GitHub's Azure move?","GitHub is already rebuilding around Azure. Find out what it means for you.",{"text":808,"config":809},"See how GitLab compares to GitHub",{"href":810,"dataGaName":811,"dataGaLocation":251},"/compare/gitlab-vs-github/github-azure-migration/","github azure migration",{"config":813},{"src":787},{"header":815,"blurb":816,"button":817,"secondaryButton":822},"Start building faster today","See what your team can do with the intelligent orchestration platform for DevSecOps.\n",{"text":818,"config":819},"Get your free trial",{"href":820,"dataGaName":50,"dataGaLocation":821},"https://gitlab.com/-/trial_registrations/new?glm_content=default-saas-trial&glm_source=about.gitlab.com/","feature",{"text":517,"config":823},{"href":54,"dataGaName":55,"dataGaLocation":821},1777934803140]