I would like to know if there is a difference between gVisor and Weave Ignite in terms of their use-cases (if there is any). To me, both of them seem to try a similar thing: make the execution of code in virtualized environments more secure.
gVisor is doing this by introducing runsc
, a runtime that enables sandboxed containers and Ignite is doing it by using Firecracker, which in their context also seems to be used as a sandbox.
Weave Ignite is an open source Virtual Machine (VM) manager with a container UX and built-in GitOps management. Combines Firecracker MicroVMs with Docker / OCI images to unify containers and VMs. Works in a GitOps fashion and can manage VMs declaratively and automatically like Kubernetes and Terraform.
gVisor is being used in Google's production environment like App Engine standard environment, Cloud Functions, Cloud ML Engine and Google Cloud Run according to Google and Brad Fitzpatrick.
What does gVisor do? gVisor provides a virtualized environment in order to sandbox containers. The system interfaces normally implemented by the host kernel are moved into a distinct, per-sandbox application kernel in order to minimize the risk of a container escape exploit.
gVisor provides a strong isolation boundary by intercepting application system calls and acting as the guest kernel, all while running in user-space. Unlike a VM which requires a fixed set of resources on creation, gVisor can accommodate changing resources over time, as most normal Linux processes do.
Both Firecracker and gVisor are technologies which provide sandboxing / isolation but in a different way.
Weave Ignite is a tool that helps you use Firecracker in order to run containers inside lightweight VMs and also do that with a nice UX, similar to using Docker.
This is also mentioned in the Scope section of github.com/weaveworks/ignite
Scope
Ignite is different from Kata Containers or gVisor. They don't let you run real VMs, but only wrap a container in new layer providing some kind of security boundary (or sandbox).
Ignite on the other hand lets you run a full-blown VM, easily and super-fast, but with the familiar container UX. This means you can "move down one layer" and start managing your fleet of VMs powering e.g. a Kubernetes cluster, but still package your VMs like containers.
Regarding the use-case part of your question, it's my feeling that because of the stronger isolation VMs offer, Ignite can be more production-ready. Also, the approach of gVisor seems to have a significant performance cost, as it is mentioned at The True Cost of Containing: A gVisor Case Study:
Conclusion
- gVisor is arguably more secure than
runc
- Unfortunately, our analysis shows that the true costs of effectively containing are high: system calls are 2.2× slower, memory allocations are 2.5× slower, large downloads are 2.8× slower, and file opens are 216× slower
Current Sandboxing Methods
Sandboxing with gVisor
Do I Need gVisor?
No. If you're running production workloads, don't even think about it! Right now, this is a metaphorical science experiment. That's not to say you may not want to use it as it matures. I don't have any problem with the way it's trying to solve process isolation and I think it's a good idea. There are also alternatives you should take the time to explore before adopting this technology in the future.
Where might I want to use it?
As an operator, you'll want to use gVisor to isolate application containers that aren't entirely trusted. This could be a new version of an open source project your organization has trusted in the past. It could be a new project your team has yet to completely vet or anything else you aren't entirely sure can be trusted in your cluster. After all, if you're running an open source project you didn't write (all of us), your team certainly didn't write it so it would be good security and good engineering to properly isolate and protect your environment in case there may be a yet unknown vulnerability.
My answer has information from the following sources which are in quote sections when taken "as-is" and I recommend them for further reading:
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