[{"data":1,"prerenderedAt":784},["ShallowReactive",2],{"/en-us/blog/build-and-run-containers-in-remote-development-workspaces":3,"navigation-en-us":38,"banner-en-us":438,"footer-en-us":448,"blog-post-authors-en-us-Vishal Tak":689,"blog-related-posts-en-us-build-and-run-containers-in-remote-development-workspaces":703,"assessment-promotions-en-us":735,"next-steps-en-us":774},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":26,"isFeatured":12,"meta":27,"navigation":12,"path":28,"publishedDate":20,"seo":29,"stem":34,"tagSlugs":35,"__hash__":37},"blogPosts/en-us/blog/build-and-run-containers-in-remote-development-workspaces.yml","Build And Run Containers In Remote Development Workspaces",[7],"vishal-tak",null,"product",{"slug":11,"featured":12,"template":13},"build-and-run-containers-in-remote-development-workspaces",true,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"Build and run containers in Remote Development workspaces","Use this easy-to-follow tutorial to create a secure, ephemeral, reproducible development environment in GitLab that can replace your local environments.",[18],"Vishal Tak","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749663857/Blog/Hero%20Images/blog-image-template-1800x945__12_.png","2025-03-03","Development environments often require the ability to build and run containers as part of their local development. Securely running containers within containers can be challenging. This article will provide a step-by-step guide to securely build and run containers in a workspace.\n\nYou will learn how to:\n- [Create a Kubernetes cluster on AWS EKS](#create-a-kubernetes-cluster-on-aws-eks)\n- [Configure Sysbox](#configure-sysbox)\n- [Configure GitLab agent for Kubernetes and GitLab Workspaces Proxy](#configure-gitlab-agent-for-kubernetes-and-gitlab-workspaces-proxy)\n- [Configure sudo access for a workspace with Sysbox](#configure-sudo-access-for-a-workspace-with-sysbox)\n- [Configure Ingress Controller](#configure-ingress-controller)\n- [Build containers inside a workspace](#build-containers-inside-a-workspace)\n- [Run containers inside a workspace](#run-containers-inside-a-workspace)\n- [Get started today](#get-started-today)\n\n## Create a Kubernetes cluster on AWS EKS\nInstall the [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) on your local machine. Next, configure a [named profile](https://docs.aws.amazon.com/cli/latest/reference/configure/) and export it to ensure all the following `aws` commands use the set credentials.\n\n```shell\naws configure --profile gitlab-workspaces-container-demo\nexport AWS_PROFILE=gitlab-workspaces-container-demo\n```\n\nInstall [eksctl](https://eksctl.io/installation/), a CLI to interact with AWS EKS. Let’s now create a Kubernetes 1.31 cluster on AWS EKS with 1 node of Ubuntu 22.04 of `c5.2xlarge` instance type. The nodes can autoscale from 0-20 nodes and each node will have a label `sysbox-install: yes` . This will be explained later in the article.\n\n```shell\nexport CLUSTER_NAME=\"gitlab-workspaces-container-demo-eks-sysbox\"\n\neksctl create cluster \\\n  --name \"${CLUSTER_NAME}\" \\\n  --version 1.31 \\\n  --node-ami-family=Ubuntu2204 \\\n  --nodes=1 \\\n  --nodes-min=0 \\\n  --nodes-max=20 \\\n  --instance-types=c5.2xlarge \\\n  --node-labels \"sysbox-install=yes\" \\\n  --asg-access \\\n  --external-dns-access \\\n  --full-ecr-access\n\n```\n\nCreate an [IAM OIDC](https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html) provider for your cluster.\n\n```shell\neksctl utils associate-iam-oidc-provider --cluster \"${CLUSTER_NAME}\" --approve\n```\n\nCreate IAM role for [EBS add-on](https://docs.aws.amazon.com/eks/latest/userguide/ebs-csi.html) for EKS.\n\n```shell\neksctl create iamserviceaccount \\\n  --name ebs-csi-controller-sa \\\n  --namespace kube-system \\\n  --cluster \"${CLUSTER_NAME}\" \\\n  --role-name \"AmazonEKS_EBS_CSI_DriverRole_${CLUSTER_NAME}\" \\\n  --role-only \\\n  --attach-policy-arn arn:aws:iam::aws:policy/service-role/AmazonEBSCSIDriverPolicy \\\n  --approve\n\n```\n\nCreate Amazon EBS CSI driver add-on for Amazon EKS cluster.  \n\n```shell\neksctl utils describe-addon-versions --kubernetes-version 1.31 | grep aws-ebs-csi-driver\n\nexport AWS_ACCOUNT_ID=\"UPDATE_ME\"\n\neksctl create addon \\\n  --cluster \"${CLUSTER_NAME}\" \\\n  --name aws-ebs-csi-driver \\\n  --version latest \\\n  --service-account-role-arn \"arn:aws:iam::${AWS_ACCOUNT_ID}:role/AmazonEKS_EBS_CSI_DriverRole_${CLUSTER_NAME}\" \\\n  --force\n\n```\n\nInstall [kubectl](https://kubernetes.io/docs/reference/kubectl/), a command line tool for communicating with a Kubernetes cluster's control plane, using the Kubernetes API.\n\nLet’s get the [kubeconfig](https://kubernetes.io/docs/concepts/configuration/organize-cluster-access-kubeconfig/) of the created cluster.\n\n```shell\naws eks update-kubeconfig --name \"${CLUSTER_NAME}\"\n```\n\n## Configure Sysbox\n\n[Sysbox](https://github.com/nestybox/sysbox) is a container runtime that improves container isolation and enables containers to run the same workloads as virtual machines.\n\n[Install](https://github.com/nestybox/sysbox#installation) Sysbox on the Kubernetes cluster using the `sysbox-deploy-k8s daemonset`.\n\n```shell\ncurl https://raw.githubusercontent.com/nestybox/sysbox/refs/tags/v0.6.6/sysbox-k8s-manifests/sysbox-install.yaml -o sysbox-install.yaml\n```\n\nBecause of how Sysbox releases itself, it first created a git tag, which runs a pipeline to build assets after which the YAML files for the `sysbox-deploy-k8s daemonset` are updated. Thus, we need to update the DaemonSet's `spec.template.soec.containers[0].image` to [registry.nestybox.com/nestybox/sysbox-deploy-k8s:v0.6.6-0](https://github.com/nestybox/sysbox/blob/46ba726e8e894aa22e20465a32d22dfa2863ec12/sysbox-k8s-manifests/sysbox-install.yaml#L66) .\n\n```text\nnew_image_value=\"registry.nestybox.com/nestybox/sysbox-deploy-k8s:v0.6.6-0\"\ntemp_file=$(mktemp)\nsed -E \"s|^([[:space:]]*image:)[[:space:]]*.*|\\1 $new_image_value|\" \"sysbox-install.yaml\" > \"$temp_file\"\nmv \"$temp_file\" \"sysbox-install.yaml\"\n```\n\nApply the YAML file to Kubernetes and ensure all the pods of the DaemonSet are running.\n\n```shell\nkubectl apply -f sysbox-install.yaml\nkubectl get pod -A\nkubectl -n kube-system get daemonset\n```\n\nVerify the installation by creating a pod which uses Sysbox container runtime.\n\n```shell\ncat \u003C\u003CEOF | kubectl apply -f -\napiVersion: v1\nkind: Pod\nmetadata:\n  name: sysbox-verification-pod\n  namespace: default\n  annotations:\n    io.kubernetes.cri-o.userns-mode: \"auto:size=65536\"\nspec:\n  runtimeClassName: sysbox-runc\n  containers:\n  - image: \"hello-world\"\n    imagePullPolicy: Always\n    name: main\n  restartPolicy: Always\nEOF\n\nkubectl -n default get pod sysbox-verification-pod\nkubectl exec -it sysbox-verification-pod -- echo \"Pod is running successfully on a Kubernetes cluster configured with Sysbox.\"\nkubectl -n default delete pod sysbox-verification-pod\n```\n\n## Configure GitLab agent for Kubernetes and GitLab Workspaces Proxy\n\nFollow our [documentation tutorial](https://docs.gitlab.com/ee/user/workspace/set_up_gitlab_agent_and_proxies.html) to set up GitLab agent and GitLab Workspaces Proxy.  \n\n## Configure sudo access for a workspace with Sysbox\n\nFollow our [documentation](https://docs.gitlab.com/ee/user/workspace/configuration.html#with-sysbox) to configure sudo access for a workspace with Sysbox.\n\n## Configure Ingress Controller\n\nSetup [Ingress NGINX Controller for Kubernetes](https://github.com/kubernetes/ingress-nginx)\n\n```shell\nhelm repo add ingress-nginx https://kubernetes.github.io/ingress-nginx --force-update\nhelm repo update\n\nhelm upgrade --install \\\n  ingress-nginx ingress-nginx/ingress-nginx \\\n  --namespace ingress-nginx \\\n  --create-namespace \\\n  --version 4.11.1 \\\n  --timeout=600s --wait --wait-for-jobs\n\nkubectl -n ingress-nginx get pod\n```\n\n## Build containers inside a workspace\n\nWe’ll use [example-go-http-app](https://gitlab.com/gitlab-org/workspaces/examples/example-go-http-app) as the project to create a workspace from. Open the workspace, start a terminal, and install [Docker](https://docs.docker.com/engine/install/).\n\n```shell\n# Add Docker's official GPG key:\nsudo apt-get update\nsudo apt-get install ca-certificates curl\nsudo install -m 0755 -d /etc/apt/keyrings\nsudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc\nsudo chmod a+r /etc/apt/keyrings/docker.asc\n\n# Add the repository to Apt sources:\necho \\\n  \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \\\n  $(. /etc/os-release && echo \"${UBUNTU_CODENAME:-$VERSION_CODENAME}\") stable\" | \\\n  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\nsudo apt-get update\nsudo apt-get install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin\n\n# Start the Docker Daemon\nsudo dockerd\n```\n\nBuild the container image.\n\n```shell\nsudo docker build -t workspaces-golang-server .\n```\n\n## Run containers inside a workspace\n\nLet’s run the container built above and expose port 3000 from the container onto the host (workspace).\n\n```shell\nsudo docker run -p 3000:3000 workspaces-golang-server\n```\n\nThe port `3000` is exposed in the [.devfile.yaml](https://gitlab.com/gitlab-org/workspaces/examples/example-go-http-app/-/blob/dd3dbb38cdce1143f7ed023980f34630cea991a5/.devfile.yaml#L15) used to create the workspace. Access the server running inside the container from the browser. Here is a video clip.\n\n\u003C!-- blank line -->\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/JQErF0U6oFk?si=6oiK48q5ghZq312g\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\u003C!-- blank line -->\n\n## Get started today\n\nFrom GitLab 17.4, you can build and run containers securely in GitLab Workspaces. See our [documentation](https://docs.gitlab.com/ee/user/workspace/configuration.html#build-and-run-containers-in-a-workspace) for more information. Replace your local development environments to GitLab Workspaces for a secure, ephemeral, reproducible development environment. \n\n## Read more\n\n- [Enable secure sudo access for GitLab Remote Development workspaces](https://about.gitlab.com/blog/enable-secure-sudo-access-for-gitlab-remote-development-workspaces/)\n- [Quickstart guide for GitLab Remote Development workspaces](https://about.gitlab.com/blog/quick-start-guide-for-gitlab-workspaces/)\n- [Create a workspace quickly with the GitLab default devfile](https://about.gitlab.com/blog/create-a-workspace-quickly-with-the-gitlab-default-devfile/)\n- [Contributor how-to: Remote Development workspaces and GitLab Developer Kit](https://about.gitlab.com/blog/gitlab-gdk-remote-development/)\n",[23,24,25,9],"tutorial","DevSecOps 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GitLab metrics and registry features help reduce CI/CD bottlenecks","See how CI/CD Job Performance Metrics and Container Virtual Registry, currently in beta, help platform teams quickly spot slow jobs and simplify multi-registry container pulls.",[709],"Talia Armato-Helle","https://res.cloudinary.com/about-gitlab-com/image/upload/v1771438388/t6sts5qw4z8561gtlxiq.png","Platform and DevOps engineers spend too much time piecing together visibility across fragmented tools and managing infrastructure that should just work.\n\nTwo new GitLab features currently in beta tackle this from different angles but share the same goal: giving practitioners direct control over the CI/CD infrastructure they depend on, without adding another third-party tool. One surfaces job-level performance data right where you monitor pipelines. The other simplifies how you pull container images from multiple registries with built-in caching.\n\nBoth features are open for feedback now. Your input will help shape what ships next.\n\n## CI/CD Job Performance Metrics\n\n* **Available tiers:** GitLab Premium, GitLab Ultimate\n* **Status:** Limited-availability beta on GitLab.com; available on GitLab Self-Managed and GitLab Dedicated when ClickHouse is configured\n\nToday, there’s no simple way to see when a particular job’s duration starts increasing or which jobs are quietly dragging down your pipeline runtimes. Most teams either build custom dashboards or manually dig through logs to answer basic questions like:\n\n* Which jobs are slowest?  \n* Where are failure rates climbing?  \n* Which stage is the real bottleneck?\n\nCI/CD Job Performance Metrics changes that by adding a new job-focused panel to the CI/CD analytics page at the project level.\n\nFor each job in your pipelines, you can see:\n\n* Typical (P50, median) and worst‑case (P95) job duration, so you can quickly view normal versus slowest runs  \n* Failure rate, so you can spot fragile or flaky jobs  \n* Job name and stage, covering the last 30 days by default\n\nThe table is sortable, searchable by job name, and paginated, so platform teams get a single view to answer questions that previously required separate tools or custom reporting.\n\n**Try it now**\n\n* Navigate to your project and select **Analyze \\> CI/CD analytics**.  \n* Look for the CI/CD job performance metrics panel and sort by duration or failure rate to find your slowest or least reliable jobs.\n\n**Documentation**\n\n* [CI/CD analytics – CI/CD job performance metrics](https://docs.gitlab.com/user/analytics/ci_cd_analytics/#cicd-job-performance-metrics)\n\n**What’s coming next**\n\nWe’re working on stage-level grouping, so you can view aggregated metrics across your build, test, and deploy stages, and quickly understand where to focus optimization work.\n\n**Share your feedback:**\n\n* [CI/CD job performance metrics epic](https://gitlab.com/groups/gitlab-org/-/work_items/18548)\n\n## Container Virtual Registry\n\n**Tier:** GitLab Premium, GitLab Ultimate\n**Status:** Beta, API-ready in 18.9\n\nMost organizations pulling container images into CI/CD pipelines rely on multiple registries: Docker Hub, Harbor, Quay, and internal registries, to name a few. Managing authentication, availability, and caching across all of them is operational overhead that slows pipelines down and introduces fragility.\n\nThe Container Virtual Registry lets you create a single GitLab endpoint that pulls from multiple upstream container sources with built-in caching.\n\nInstead of configuring credentials and availability for each registry individually in your pipeline configuration, you can:\n\n* Point your pipelines at one GitLab virtual registry endpoint  \n* Configure multiple upstream registries (Docker Hub, Harbor, Quay, and others using long-lived token authentication)  \n* Let GitLab resolve image pulls automatically, with pull-through caching to reduce bandwidth costs and improve reliability\n\nFor teams evaluating GitLab as a container registry replacement, this closes a critical capability gap. For teams already managing multi-registry container workflows, it centralizes image management into GitLab and cuts down on repeated pulls.\n\n**What the beta supports today**\n\n* Upstream registries using long-lived token authentication: Docker Hub, Harbor, Quay, and other compatible registries  \n* Pull-through caching so commonly used images are served from GitLab after the first pull  \n* API-first configuration, with UI management in progress++\n\nCloud provider registries requiring IAM authentication (such as Amazon Elastic Container Registry, Google Artifact Registry, and Azure Container Registry) are being considered for future iterations.\n\n**Test it today**\n\n* The Container Virtual Registry is API-ready in 18.9.  \n* SaaS (GitLab.com): Request access through your CSM or by commenting on the feedback issue below to have the feature flag enabled for your group.  \n* Self-managed: Enable the feature flag and configure the virtual registry using the API.\n\n**Documentation**\n\n* [Container Virtual Registry API](https://docs.gitlab.com/api/container_virtual_registries/)  \n* [Pull container images from the virtual registry](https://docs.gitlab.com/user/packages/virtual_registry/container/#pull-container-images-from-the-virtual-registry)\n\n\n Watch this walkthrough of the Container Virtual Registry Beta:\n   \n\n  \u003Ciframe src=\"https://player.vimeo.com/video/1167512082?title=0&byline=0&portrait=0&badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"20260223_Container Virtual Registry Beta_V1\">\u003C/iframe>\u003C\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n  \u003Cbr>\u003C/br>\n\n\n\n**Share your feedback:**\n\n* [Container virtual registry feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/589630)\n\n## Help us build what matters\n\nEveryone in the GitLab community is a contributor. We built these betas based on community requests.\n\n* **CI/CD Job Performance Metrics** came from teams who had no easy way to see when build times started trending in the wrong direction, or which jobs were hurting pipeline reliability.  \n* **Container Virtual Registry** came from enterprise customers managing multiple registries and looking to reduce tool sprawl and bandwidth costs while evaluating GitLab as a central registry.\n\nYour feedback shapes what we create next. Try one or both of these betas, and share your experience in the linked feedback issues.\n\nThis is the first in a series of Core DevOps betas we plan to highlight. 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