Real-time container runtime support
Project Description
As per discussions in the SOAFEE SIG that SUSE is a founding member of, container users will be in need of running workloads with mixed criticality.
Maybe the easiest starting point will be allowing to assign containerized processes real-time priorities.
During last Hack Week, code review had confirmed no process priorities were being set in runc, but work towards experimental code changes got interrupted.
Goal for this Hackweek
Goal is to create a proof of concept where initially a hardcoded process priority gets assigned to a container (which would confirm we found the right place and have the needed capability permissions). This includes figuring out a development set-up for these container components. SUCCESS! Nice values such as -5 (range -20 to 19) could be assigned to a Tumbleweed container executed via podman on Tumbleweed x86_64, using a modified locally built and installed (PREFIX=/usr) runc binary in the initProcess code path.
Next step would be to alternatively assign a real-time process priority (different syscall and number range). SUCCESS! Among others, FIFO scheduler with real-time priority 42 (range 1 to 99) could be assigned to the Tumbleweed container's bash process.
A further step would be figuring out how to pass such meta information from container manifest through orchestrator to the runtime components, so that the priority does not need to be hardcoded and can be applied to one specific container only.
Out of scope will likely be investigating alternative container components, such as crun in place of runc.
It is understood real-time process priorities can be investigated on regular current Tumbleweed or SLE kernels, without requiring a SLERT kernel with PREEMPT_RT patchset specifically (although that would still be the deployment use case).
Resources
SUSE Labs Conference 2022 paper "SOAFEE: The quest for mixed criticality" by A. Färber, sections "Operating system and real-time" and "Kubernetes and real-time".
Looking for hackers with the skills:
This project is part of:
Hack Week 22 Hack Week 21
Activity
Comments
-
about 2 years ago by afaerber | Reply
Results presented in SOAFEE MCO tiger team: 20230214_SUSE_Hackweek_real-time.pdf
Code is pushed to GitHub now: https://github.com/afaerber/runc/commits/hackweek22
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Description
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or local installations. However, the goal is to expand its use to encompass all installations of
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It simplifies cluster management by automating tasks and providing just one user-friendly YAML-based
configuration config.yml.
Overview
- Simplified Configuration: Define your desired cluster state in a simple YAML file, and ClusterOps will handle the rest.
- Automated Setup: Automates initial cluster configuration, including network settings, storage provisioning, special requirements (for example GPUs) and essential components installation.
- Ongoing Maintenance: Performs routine maintenance tasks such as upgrades, security updates, and resource monitoring.
- Extensibility: Easily extend functionality with custom plugins and configurations.
- Self-Healing: Detects and recovers from common cluster issues, ensuring stability, idempotence and reliability. Same operation can be performed multiple times without changing the result.
- Discreet: It works only on what it knows, if you are manually configuring parts of your kubernetes and this configuration does not interfere with it you can happily continue to work on several parts and use this tool only for what is needed.
Features
- distribution and engine independence. Install your favorite kubernetes engine with your package
manager, execute one script and you'll have a complete working environment at your disposal.
- Basic config approach. One single
config.ymlfile with configuration requirements (add/remove features): human readable, plain and simple. All fancy configs managed automatically (ingress, balancers, services, proxy, ...). - Local Builtin ContainerHub. The default installation provides a fully configured ContainerHub available locally along with the kubernetes installation. This configuration allows the user to build, upload and deploy custom container images as they were provided from external sources. Internet public sources are still available but local development can be kept in this localhost server. Builtin ClusterOps operator will be fetched from this ContainerHub registry too.
- Kubernetes official dashboard installed as a plugin, others planned too (k9s for example).
- Kubevirt plugin installed and properly configured. Unleash the power of classic virtualization (KVM+QEMU) on top of Kubernetes and manage your entire system from there, libvirtd and virsh libs are required.
- One operator to rule them all. The installation script configures your machine automatically during installation and adds one kubernetes operator to manage your local cluster. From there the operator takes care of the cluster on your behalf.
- Clean installation and removal. Just test it, when you are done just use the same program to uninstall everything without leaving configs (or pods) behind.
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- Containerized Data Importer (CDI). Persistent storage management add-on for Kubernetes to provide a declarative way of building and importing Virtual Machine Disks on PVCs for