Linux Containers, LXC, FreeBSD Jails, VServer…

These days containerization of work, applications and storage on systems has become a hot topic. Not to say it wasn’t before, but it’s got a boost from the cloud computing segment of the industry. With that I felt the need to write up what I’ve discovered of the history in this industry so far. I’d love feedback and corrections if I’ve got anything out of order here or if – heaven forbid – I’ve got something wrong.

What are Containers?

Before I get into what a container is, it is best to define what operating system-level virtualization is. Sometimes this is referred to as jailed services or apps running in a jail.

This level of virtualization often provides extremely similar functionality as a VMware, Virtual Box or Hyper-V virtual server would provide. The difference however is primarily around the idea that the operating system-level virtualization actually runs as a service, usually protected, that runs apps as if it were an operating system itself.

So what’s a container?

Linux Contains is a feature that allows Linux to run a single or more isolated virtual systems that each have their own network interfaces, computer process threads and namespaces, user namespaces and states.

One of the common abbreviations for Linux Containers you’ll see is LxC. There are however many distinct operating system-level virtualization solutions.

  • Open VZ – this technology uses a single patched Linux kernel, providing the ability to use the architecture and kernel version of the system that is executing the container.
  • Linux V-Server – this technology is a virtual private server implementation that was created by adding operating system-level virtualization to the Linux kerne. The project was started by Jacques Gélinas. It is now maintained by Herbert Pötzl of Austria and is not related to the Linux Virtual Server project. The server breaks things into partitions called security contexts, within that is the virtual private server.
  • FreeBSD Jail – This container technology breaks apps and services into jails.
  • Workload Partitions – This is a technology built for AIX, introduced in AIX 6.1. Workload Partitions breaks things into WPARs. These are software partitions that are created from the resources of a single AIX OS instance. WPARs can be created on any system p (the new old thing, was the RS/6000 tech) hardware that supports AIX 6.1 or higher versions. There are two kinds of WPARs, System WPARs and Application WPARs.
  • Solaris Containers – is a container tech for x86 and SPARC systems. It was first released in February 04′ for Solaris 10. It is also available in OpenSolaris, SmartOS and others as well os Oracle Solaris 11. The Solaris container combines resource controls in seperations referred to as zones. These zones act as completely isolated virtual servers within a OS.

What is so great about a container?

Ok, so I’ve covered what a container is. You’re probably asking, “so what do I do with these containers?” There are a number of things, for starters speed is a huge advantage with containers. You can spool up entire functional application or service systems, like an API facade or something, in seconds. Often times a container will spool up and be ready in less than a second. This provides a huge amount of power to build out flexible, resilient, self-healing distributed systems that otherwise are just impossible to build with slow loading traditional virtual machine technology.

Soft memory is another capability that most containers have. This is the capability of being allocated, or being allocated and running, in memory. As one may already know, if you run something purely out of memory it is extremely fast, often 2-10x faster than running something that has to swap on a physical drive.

Managing crashing services or damaged ecosystem elements. If the containers are running, but one gets hit with an overloaded compute ask, software crashes on it, or one of the many receive some type of blocking state like a DDOS of sorts, just reboot it. Another option is just to kill it and spool up and entirely new instance of the app or service in a container. This ability really is amplified in any cloud environment like AWS where a server instance may crash with some containers on it, but having another instance running with multiple containers on it is easy, and restarting those containers on running instances is easy and extremely fast.

Security is another element that can be assisted with container technology. As I alluded to in the previous point above, if a container gets taken over or otherwise compromised, it’s very easy to just kill it and resume one that is not compromised. Often buying more time to resolve the security concern. Also, by having each container secured against each other container, controlling a container does not result in a compromised physical machine and operating system. This is a huge saving grace when security is breached.

Container Summary

Containers are a hot ticket topic, for good reason. They provide increase management of apps and services, can utilize soft memory, increase security and they’re blazing fast. The technology, albeit having been around for a good decade, is starting to grow in new ways. Containers are starting to also become a mainstay of cloud technology, almost a requirement for effective management of distributed environments.

Next up, I’ll hit on Docker tech from DotCloud and Salomon Hykes @solomonstre.

For now, anybody got some additions or corrections for this short history and definitions of containers?  🙂

Getting Docker Installed on Ubuntu 12.04 LTS

A few days ago I posted the blog entry “Using SSH Locally to Work With Ubuntu VM + VMware Tools Installation via Shell“, it was related to getting a clean Ubuntu Server install running with VMware Tools and so that I could use it as a hosted instance. Simply put, being able to SSH into it just as I would a hosted AWS or Windows Azure Ubuntu Server image. Once I had the default virtual machine running 12.04 LTS I went about another installation that is needed to run Docker. Docker will have issues with anything pre-3.8 kernel. Running the command below will show that kernel 3.5 is the current kernel in 12.04 LTS.

[sourcecode language=”bash”]
apt-cache search linux-headers-$(uname -r)
[/sourcecode]

To update to the 3.8 kernel I ran the following command and then rebooted.

[sourcecode language=”bash”]
sudo apt-get install linux-image-generic-lts-raring linux-headers-generic-lts-raring
sudo shutdown -r now
[/sourcecode]

With the reboot complete, I checked the kernel version again and 3.8 was installed successfully.

[sourcecode language=”bash”]
@ubuntu:~$ apt-cache search linux-headers-$(uname -r)
linux-headers-3.8.0-33-generic – Linux kernel headers for version 3.8.0 on 64 bit x86 SMP
[/sourcecode]

To get Docker installed (as of 0.6) run the following command.

[sourcecode language=”bash”]
sudo sh -c "wget -qO- https://get.docker.io/gpg | apt-key add -"
sudo sh -c "echo deb http://get.docker.io/ubuntu docker main\
> /etc/apt/sources.list.d/docker.list"
[/sourcecode]

Next update the sources, then install lxc-docker.

[sourcecode language=”bash”]
sudo apt-get update
sudo apt-get install lxc-docker
[/sourcecode]

To verify that docker is installed I executed the following command and…

[sourcecode language=”bash”]
sudo docker run -i -t ubuntu /bin/bash
[/sourcecode]

…see similar results just after issuing the command.

[sourcecode language=”bash”]
Unable to find image ‘ubuntu’ (tag: latest) locally
Pulling repository ubuntu
8dbd9e392a96: Download complete
b750fe79269d: Download complete
27cf78414709: Download complete
[/sourcecode]

After that displays then I typed exit to leave docker. I now have a running version of docker on the Ubuntu 12.04 LTS instance ready for testing and hacking with docker.

OSCON : Conversations, Deployments, Architecture, Docker and the Future?

I wrote about my first day of OSCON “OSCON : Day 1, Windows Just Doesn’t Do Cloud Foundry… but, there’s a fix for that…“. The rest of the week was most excellent. I caught up with friends and past coworkers. I heard about people working on some amazing new projects. Some things I will try to write up in the coming days, as I’m sure some of it will be making the tech news (if not the regular people news too).

Conversations

Had some great conversations about the direction of enterprise and paas uptake. It’s great to hear that there is some movement in that space finally. As one would expect however, there is still a lot of distance for the enterprise to catch up on, but they’ll get there – or fall apart in the meantime.

There were also tons of conversation about the Indiegogo Ubuntu Edge mobile device. This device is a great looking and sounds like a solid idea. The questions arise in the fact that they’re working to make this a purely crowd funded project. This wouldn’t be a concern if they were trying to just get a few million in capital, but they’re aiming for $32 million! Overall though, with 128 GB, Dual LTE Antennas for Europe and the US, a top tier screen in quality and design, a metal body and also multiple other features that put this phone ahead of anything out there. I hope it’s successful, but I must admit my own hesitance. What’s your take on the device?

Deployments

Over the course of the conference I talked to and worked with a number of other individuals playing around with Cloud Foundry and also OpenShift. The primary aspect that we worked on was strategies around deployment of these PaaS Technologies.

We also worked with Iron Foundry to extend Cloud Foundry to support .NET. If you love .NET or hate .NET, wherever in that spectrum, it has an absolutely huge user base still. Primarily because .NET spent the last decade and a few years going head to head against Java in the Enterprise, and we all know the enterprise is slow to shift anything. So for now and the foreseeable future .NET is an extremely large part of the development world. Having it work in your PaaS is fundamental to gaining significant enterprise share. Cloud Foundry is the only open source, internally usable PaaS on the market today. There are closed source options available, but that obviously doens’t come up at OSCON.

While at OSCON, I also got to discuss architecture and deployment of Riak with a number of people. The usage of Riak continues to grow and the environments, use cases and tooling that people are using Riak with and for is always an interesting space for me. I also got to discuss deployment of Cassandra and even some Neo4j, Redis and Riak side by side deployments. People have used an interesting mix of NoSQL solutions out there to pull their respective data together for their needs.

Among all these deployments, conversations regularly returned to a known topic of mine. Cloud computing and who is capable of what, where and when. AWS is still an easy leader in cloud computing, not just in customers but in technology. This also brought up the concerns and apathy that some have around OpenStack (hat tip to Ben Kepes for the write up) working more homogeneously with AWS. Whatever the case might be, the path for OpenStack needs to be clarified regularly. I imagine the next movement is going to be away from being too concerned with infrastructure and increased concern with portability of applications and development of applications.

Another growing topic of discussion was around building applications for, on and with Windows Azure. Microsoft has actually become dramatically more involved in open source in an honest and more integrity based way. I’m honestly amazed at how far they’ve come from the declaration years ago that “open source is a cancer” and the all too famous, “linux is communism“. Whatever that was supposed to mean, they didn’t seem to get it back then. Now however, they regularly contribute to open source projects on codeplex but also github and other places. Microsoft has even contributed to the Linux kernal a few months ago.

That leads me to the next topic that came up a number of times…

Architecture

There’s been a lot of discussion about architecture around PaaS, containers (more on that in a moment), distributed systems in general and distributed databases. As I wrote about recently, “Architectural PaaS Cracks or Crack PaaS” the world of distributed systems and distributed databases has more than a few issues when working together in a PaaS environment. This brought up the discussion about what solutions exist today, solutions I look forward to writing and building in the coming months.

The most immediate solution to scalable data sources is still to run your operational data sources such as Neo4j, Redis, Riak or other database autonomously but residing close to your PaaS System. The current public PaaS Providers do exactly this and in some cases extend that to offer the databases and data sources as services through add-ons. These are currently great solutions, but require time, effort and custom development work when setting up internally.

This leads me to the last topic…

The Story of a Container – Docker

Well, not just Docker, but containers in general and Docker specifically. First some context about what a container is.

Container – In this particular context I’m writing about a container, or more specifically a runtime-container, that isolates resources for applications or services. Containers are common in PaaS technologies to help isolate the specific services or applications when they’re on a single physical machine or instance. For each of the respective PaaS systems that came up at OSCON we have dotCloud from the same team that created Docker, Cloud Foundry has Warden and OpenShift has gears and Red Hat Enterprise Linux OS specific containers.

I’ve studied Warden a little in the past while I was working with AppFog and Tier 3 around Cloud Foundry. Warden is a great piece of technology. However the star at OSCON was clearly Docker. I jumped into a number of conversations around Docker. This conversation would then take the direction to containers becoming the key to PaaS tooling and systems growth and increasing capabilities. That leads me back to my previous blog entry “Architectural PaaS Cracks or Crack PaaS” and one of the key solutions to the data tier issue.

Containers, A Solution for Scaling the Data Tier

One of the issues that comes up when trying to scale any distributed database in a PaaS Environment is how to provide multi-tenancy without spooling up new instances for each and every single installation of a node within that distributed database. Here’s an example diagram of the requirements behind a scalable distributed database.

Masterless, Distributed Cluster of Nodes
Masterless, Distributed Cluster of Nodes

In a default configuration you’d want each node to be running on a physical machine or dedicated virtual instance. This is for performance reasons as well as reasons for load balancing, security, data integrity and a host of others. This is the natural beginning state of a highly available distributed database or distributed system.

Trying to deploy something like this into a PaaS environment is tricky. Take into account that there is no such thing in application or service speak as an instance, and especially not anything such as a physical server. The real division between process and resources are containers. These containers are what actually needs to run the distributed system node. This becomes possible, if a distributed system node can be deployed to and executed from within a container.

Enter Docker

After reviewing Docker, the capabilities around it and the requirements of a distributed database, it looks like an ideal marriage of the two technologies. Already Docker has Redis and other database technologies running on it. The Container technology around Docker looks like an ideal fit to extend distributed systems to run autonomously of a single physical machine or single instance per node. This would enable nodes to be deployed as resources are available to provide a more seamless and PaaS style deployment for systems like Cassandra, Riak and related distributed systems. Could this be the next evolution of affordable distributed systems, containers to the rescue?

I’ll be reporting back on my progress, this could be cool!

Stay tuned for a write up on Docker in the near future. For more information now check out http://www.docker.io.