sysbox | empowers rootless containers to run workloads | Continuous Deployment library
kandi X-RAY | sysbox Summary
kandi X-RAY | sysbox Summary
Sysbox is an open-source and free container runtime (a specialized "runc"), developed by Nestybox, that enhances containers in two key ways:. Think of it as a "container supercharger": it enables your exisiting container managers / orchestrators (e.g., Docker, Kubernetes, etc.) to deploy containers that have hardened isolation and can run almost any workload that runs in VMs. Sysbox does this by making the container resemble a VM-like environment as much as possible, using advanced OS virtualization techniques. Unlike alternative runtimes such as Kata and KubeVirt, it does not use VMs. This makes it easier to use (particularly in cloud environments by avoiding nested virtualization), although it does not provide the level of isolation that VM-based runtimes do. See here for a comparison. There is no need to learn new tools or modify your existing container images or workflows to take advantage of Sysbox. Simply install it and point your container manager / orchestrator to it to deploy enhanced containers. Sysbox can live side-by-side with other container runtimes on the same host (e.g., the default OCI runc, Kata, etc.) You can easily choose which containers or pods to run with each, depending on your needs.
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Trending Discussions on sysbox
QUESTION
We have a Gitlab setup with Sysbox (link to the setup) to avoid running the docker executor on priviledged mode. Currently the services
attribute works and we can communicate to it, but containers started with dind
are inaccessible. Here's a minimal .gitlab-ci.yml
file to reproduce the problem:
ANSWER
Answered 2021-May-18 at 09:54Can you try 0.0.0.0
instead of localhost
? Also, the network_mode
property for the runner should be host
(https://docs.gitlab.com/runner/executors/docker.html)
QUESTION
I'd like to install a CI tool on GKE so I can run docker-in-docker via Sysbox.
In order to do that, I need to install the Sysbox container runtime.
Is it possible to do that in GKE?
...ANSWER
Answered 2021-Jan-28 at 12:16GKE
is a provider-managed Kubernetes solution where certain aspects are handled by your cloud provider. Things like nodes provisioning, automatic updates, security patching, access to certain storage solutions out of the box, etc.
Focusing specifically on Nodes
. Kubernetes relies on Container Runtime
to run it's containers. GKE
has predefined images with specific Container Runtimes
. You can see by below table:
OS Node images Container-Optimized OS Container-Optimized OS with Containerd (cos_containerd), Container-Optimized OS with Docker (cos) Ubuntu Ubuntu with Containerd (ubuntu_containerd), Ubuntu with Docker (ubuntu) Windows Server Windows Server LTSC (windows_ltsc), Windows Server SAC (windows_sac)-- Cloud.google.com: Kubernetes Engine: Docs: Concepts: Node images
As you can see the Container Runtimes
are already predetermined. There are differences between the OS
's which are prepared to run within GKE
ecosystem. For example, COS
does not have an inherent package manager (for that you should use CoreOS Toolbox).
Adding to that:
Node VM modificationsModifications on the boot disk of a node VM do not persist across node re-creations. Nodes are re-created during manual upgrade, auto-upgrade, auto-repair, and auto-scaling. In addition, nodes are re-created when you enable a feature that requires node re-creation, such as GKE sandbox, intranode visibility, and shielded nodes.
To preserve modifications across node re-creation, use a DaemonSet.
It's not recommended to manage critical software provided by a node image, such as the kernel or container runtime (whether
containerd
ordocker
). Node images are tested extensively, and modifying critical software provided in the node image puts the node into an unknown and untestable state.-- Cloud.google.com: Kubernetes Engine: Docs: Concepts: Node images: Modifications
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