criu: time and space travel for linux containers
TRANSCRIPT
CRIU:
time and space travel
for Linux containers
Kirill KolyshkinContainerDays NYC, 30 Oct 2015
Agenda
Why would we want to migrate containers
Why wouldn't we want to migrate containers
How complex is to migrate containers
It's not about CRIU per se, as I can talk for a whole day about it, and you are probably not interested. It's about one of it's applications, which is containers live migration. I'm going to tell why and when it is useful, why it's not, and what are the obstacles if you decide to do it.
Live migration at a glance
Save the state
Transfer the state
Restore the state
What is live migration? Live migration is very well described in science fiction, it's just its called teleportation there. An object is analyzed, information about its bits and pieces are communicated to the other side, and it's assembled there at the destination.It's pretty much the same for containers, except for the fact it's already implemented.
Container live migration
It is already implemented in OpenVZ, for about 10 years, in the kernel, as a kernel modules. For the last 4 years we are working on re-implementing that feature using a different engine, developing the functionality of analyzing, decomposing and then re-composing the processes not as kernel modules, but as a user-space application.
Why would we want to migrate containers?
It's awesome!
Load balancing in a cluster
Kernel upgradeCan be done without migration
Hardware upgrade
Why would we want to migrate containers?: First, It looks
awesome, totally mind blowing. If you take an inexperienced user
and show them a set of processes with all the bells and whistles
and stuff being moved from one physical server to another without
being stopped --- it looks cool!Live migration can also be used to
balance a load between a few machines.
Why wouldn't we want to live migrate containers?
Of course live migration is a complex technology, and it is error-prone and people are afraid of using it because of various possible side effects, good or bad. So, there are ways to avoid live migration.
How to avoid live migrating containers
Incoming traffic load balancing
Microservices
Crash-driven upgrades
Scheduled downtimes
One method is to balance not the processes using the resources,
but the reason why they start to do it. For example, incoming
network traffic you can use some frontend to load balance, if your
architecture allows it.
Another method is microservices you run services that don't have much context, much state, so you can stop anything and run it on a different machine pretty fast and without losing anything. Again, if your architecture allows it. This is a paradigm of OpenStack, Docker, and some Docker-based projects such as Kubernetes.
Third option is somewhat peculiar, but is still being used. You wait until there's a major problem with the machine, and then you reboot and upgrade.
Obvious option is to plan a downtime.
How to make live migration really live?
Need to get rid of migrating memory while the container is frozen
Two ways:Pre-copy the memory
Post-copy the memory
Anyway, live migration is also a way to go, and once we start using it we'll see that during migration a lot of time is spent on moving the memory over the network. To make the migration really live, to have a really uninterrupted service, you need to exclude this memory migration from the period of time when the container is frozen. There are two options for that.
First one is to copy all or most of the memory before freezing the container.
Second is not to migrate the memory.
Live migration in more details
Pre-copy: collect and transfer the memory (might be iterative)
Freeze the container
Save its state
Copy the state
Restore
Unfreeze
Post-copy: swap in the memory over the network
Once we take into account this need to pre- or post-migrate the memory, the live migration is becoming more complicated.
Obstacles, booby traps, and rakes
VS
There is some specifics in implementing such a technology for containers. As live migration for VMs exist for a while, while for containers it's relatively new. So to better understand the details, let's compare containers and VMs. Let's do it step by step.
What do we need to migrate
Virtual MachineEnvironment (i.e. virtual hardware)
CPU state
Memory
ContainerEnvironment (cgroups, namespaces)
Processes and stuff
Memory
All the virtual hardware a hypervisor gives to the guest OS, virtual CPU state and memory state.
It's sort of like the same for Cts, but named differently. Instead of virtual hardware we have cgroups and namespaces. Instead of CPUs we have processes.
Collect and copy the memory
Virtual MachineAll memory is at hand
ContainerMemory is spread through the processes
Different types of memory (shared/private, backed by a file or not)
Need to collect the processes firstOnly then collect the memory
Not a problem for VM, as a hypervisor manages VM memory and knows everything about it.
For Cts, there are many different types of memory shared or private, backed by a file or not backed by a file, etc etc
Freezing
Virtual MachineSuspend all CPUs
ContainerWalk the tree (/proc), catch the processes and freeze those
Freeze cgroup helps a bit
There are two ways to catch the processes. First, we follow the
steps of ps utility, get the processes one by one, stop them, make
sure the ones we haven't stopped yet might fork and their children
might fork.
A second option is to use freeze cgroup. If you put processes
inside such a cgroup you can later say freeze! and it will. In such
case this freezing will be done by the kernel who is good at
it.
Saving the state
Virtual MachineHardware state, tree, 300K, ~70 objects
ContainerState of all objects, graph, 160K, ~1000 objects
Not all objects have decent API to get the state
For VM running a fresh install of say Fedora Linux, excluding the memory it will be about 300K of data and less than 100 objects.
For CT, this is way more fine grained open files, sockets, and everything those processes might have used. Plus, some of those objects might be shared, like files so we have a graph rather than a tree. It takes somethat less space (comparable to VM), but the number of objects is two orders of magnitude greater! The second problem is not a fundamental one, but rather a specifics of the CRIU implementation. If we would do checkpoint from the kernel, we would know everything, every state of every object. But as we are doing it from the userspace we need some API to get such state.
Copying the state
Virtual MachineCan read and copy at once, easy to serialize
ContainerNot easy to serialize as it's a graph not a tree
For containers, receiving side can't get it from a socket as there might be some objects depending on the objects that are not yet copied
Restoring the state
VM: recreate the memory, state of CPUs and virtual hardware
ContainersIn-kernel: create a myriad of small objects
In CRIU: same, but there might not be a convenient APIOver 1000 syscalls
Need to sort it all out
For CTs, we have a set of objects to be restored, and we have relations between those objects, a graph, and we have some rules, some restrictions on how to create these objects with their relations. It's not like we can create an object and then tie it to some other objects. We also have a state to which we want to go. So we need to solve this task, figure out a sequence to recreate all this.
Freeze
VM: resume the virtual CPUs
Container
Either SIGCONT through the tree
Or unfreeze the cgroup
Problem: need to wake processes in the proper order
To install a font: Open Fonts by clicking the Start button , clicking Control Panel, clicking Appearance and Personalization, and then clicking Fonts.Click File, and then click Install New Font. ...In the Add Fonts dialog box, under Drives, click the drive where the font that you want to install is located.http://windows.microsoft.com/en-us/windows-vista/install-or-uninstall-fonts
Post-memory migration: network swap device
Not yet ready for neither VMs nor CTs
userfaultfd by Andrea Arcangeli of Red Hata file descriptor to inform about page fault and get a memory back
merged into 4.2 kernel
work in progress to use it for KVM/QEMU
Container
Userfault FD is not sufficient for CRIU case
If a page is missing, the kernel won't kill the process but send a special message over that file descriptor so the listening process can get this memory and give it to the kernel
Userfaultfd is not working as it for CRIU for a few reasons:-
with QEMU, it's the same process initialing and handling the page
fault,
with CRIU it's different processes- not all memory types are
currently supported . - an app can remap its memory, currently
unsupported- fork() is not supported, child wil have pages with
zeroes
Implementation
https://criu.org
plus.google.com/+CriuOrg
@__criu__
github: xemul/criu
Vibrant community, version 1.7.2 was released this week. Mostly driven by Odin, but also Google, Canonical, Red Hat, SuSE Debian, Samsung, Huawei, DockerIntegrated with OpenVZ (future version), LXC, LXD, Docker/Rocket libcontainer.Linux kernel developers are aware and helpful
CRIU uses beyond the live migration
HPC jobs: periodic checkpoints
Slow boot services speed up
That magical SAVE button e.g. in games
Software testing speed up
Reverse debugging
For slow boot, we tried starting Eclipse GUI, took 30s to start, 1.5s to restore.
Live migration
P.HaulProcess hauler
http://criu.org/P.Haul
Uses CRIU for c/r
Project logo is the little humpbacked horse (a magic pony)
That's all Folks!
Kirill [email protected]
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