This is a liveblog of the Docker Networking breakout session. This session is led by Madhu Venugopal and Jana Radhakrishnan, both formerly of Socketplane (and now with Docker following the acquisition). They are introduced by John Willis, also formerly of Socketplane and well-known within the DevOps community.
Some display issues plague the session at the beginning, so it appears that Murphy’s Law is back with a vengeance.
Madhu starts out the session with an overview of why networking (in particular Docker networking) is so important. Networking is vast and complex, and networking is an inherent part of distributed applications. Therefore, it’s important to make networking developer-friendly and application-driven. He shares a vision: “We’ll do for networking what Docker did for compute”. So what are the goals from this vision?
Libnetwork is a key part of this effort. It was open-sourced in April, with over 200 pull requests and 200 GitHub stars. Windows and FreeBSD ports are in progress. Libnetwork is part of the Docker 1.7 release with limited functionality, allowing users to test it before it is fully enabled in Continue reading
This is the “Top Secret Docker Session led by Gordon the Turtle,” which is really a session on Docker Plugins. However, since Docker Plugins were only announced this morning during the general session, the title for this session had to be obscured. On stage are ClusterHQ (Luke Marsden), Glider Labs (Jeff Lindsay), and Weaveworks (Alexis Richardson).
Marsden starts the session with a brief history of the Docker Plugins project, and how it grew out of Powerstrip. Marsden reiterates that he said Powerstrip would be successful if they would “throw it away” in 6 months. Four months later, the Docker Plugins project is now officially announced, and Powerstrip is no longer necessary.
Marsden next turns the stage over to Jeff Lindsay. Lindsay talks about why the Docker Plugins project is so important—every customer is unique, and customers want/need the freedom to choose the right solution to use the tools that best solve their particular problem(s).
Jeff Lindsay turns it over to Alexis Richardson, who outlines the core requirements for Docker Plugins. Richardson outlines 3 requirements, but he doesn’t have a slide that lists those requirements, so I couldn’t capture them. Plugins today are limited to storage and networking, but that isn’t Continue reading
This is a liveblog of the DockerCon 2015 session on resilient routing and discovery, part of the “Advanced Tech” track. Simon Eskilden (@Sirupsen on Twitter) from Shopify is the speaker for this session.
Not surprisingly (you’d understand this if you walked Eskilden’s presentation from DockerCon EU 2015), he starts out with a mention of the walrus (his favorite animal). Eskilden starts with a brief overview of Shopify (his employer) and Shopify’s production deployment of Docker (they’ve had Docker in production for over a year). Eskilden freely acknowledges that moving to a microservices-based architecture increases complexity and is not “free”. In order to help address the complexity brought on by microservices-based architectures, Eskilden wants to talk about resiliency, service discovery, and routing.
Eskilden reinforces that companies shouldn’t be implementing Docker solely for the sake of implementing Docker; it should be for a reason, a purpose (for him, it’s making sure Shopify’s services stay up and available). Resiliency is about building a reliable system from a bunch of unreliable components. Total availability is the availability per service to the power of the number of services. This means that the more services there are, the lower the total availability is. (To help Continue reading
This is a liveblog for the day 1 general session at DockerCon 2015, taking place this week (today and tomorrow, anyway) at the Marriott Marquis in San Francisco, CA. This is my first DockerCon, and I’m looking forward to picking up lots of new knowledge.
The general session starts with a video (cartoon) about something working in development but not in production, and how Solomon Hykes came up with the idea for containers and Docker. It’s a humorous, tongue-in-cheek production. As the video wraps up, Docker CEO Ben Golub takes the stage.
Golub starts with a personal story about the various startups for which he’s worked, and the importance of his “two fold test” (that it has global significance and that it is easy to explain when you go home for Thanksgiving). Maybe the Thanksgiving test didn’t quite make it, but Golub does think (naturally) that Docker has global significance. Golub says that Docker has become a fundamental part of how companies build, ship, and run distributed applications, and that Docker is a key part of how industries and cultures are being transformed. He attributes this success to the Docker community and the Docker ecosystem. Rightfully so, Golub credits the Continue reading
Yesterday, I posted about using Vagrant to learn Ansible, in which I showed you one way to combine these two tools to make it easier to learn Ansible. This is a combination I’m currently using as I continue to explore Ansible. Today, I’m going to expand on yesterday’s post by showing you how to make Vagrant automatically build an Ansible inventory for a particular Vagrant environment.
As you may already know, the Vagrantfile that Vagrant uses to instantiate and configure the VMs in a particular Vagrant environment is just Ruby. As such, it can be extended in a lot of different ways to do a lot of different things. In my case, I’ve settled on a design pattern that involves a separate YAML file with all the VM-specific data, which is read by the Vagrantfile when the user runs vagrant up. The data in the YAML file determines how many VMs are instantiated, what box is used for each VM, and the resources that are allocated to each VM. This is a design pattern I’ve used repeatedly in my GitHub “learning-tools” repository, and it seems to work pretty well (for me, at least).
Using this arrangement, since I Continue reading
I’ve been spending some time with Ansible recently, and I have to say that it’s really growing on me. While Ansible doesn’t have a steep learning curve, there is still a learning curve—albeit a smaller/less steep curve—so I wanted to share here a “trick” that I found for using Vagrant to help with learning Ansible. (I say “trick” here because it isn’t that this is complicated or undocumented, but rather that it may not be immediately obvious how to combine these two.)
Note that this is not to be confused with using Ansible from within Vagrant as a provisioner; that’s something different (see the Vagrant docs for more information on that use case). What I’m talking about is having a setup where you can easily explore how Ansible works and iterate through your playbooks using a Vagrant-managed VM.
Here are the key components:
Vagrantfile and any associated support files).Vagrantfile, you’ll need an Continue readingAs I’ve recently had the opportunity to start working with Cumulus Linux (running on a Dell S6000-ON switch), in this post I wanted to share a few concepts I’ve learned about networking with Cumulus Linux.
I’m not a networking guru, but I’m also not new to configuring network equipment—I’ve configured GRE tunnels on a Cisco router, set up link-state tracking, and enabled jumbo frames on a Nexus 5000 (to name a few examples). I’ve worked with Cisco gear, HP equipment, Dell PowerConnect switches, and Arista EOS-powered switches. However, as a full distribution of Linux, networking with Cumulus Linux is definitely different from your typical network switch. To help make the transition easier, I’ll share here a few things I’ve learned so far.
It’s important to understand that Cumulus Linux isn’t just a “Linux-based network OS”—it’s actually a full Linux distribution (based on Debian). Lots of products are Linux-based these days, but often hide the full power of Linux behind some sort of custom command-line interface (CLI) or shell. Not so in this case! I think this fact is perhaps a bit easy to overlook, but it shapes everything that happens in Cumulus Linux:
Rubrik today announced a new Series B investment (of $41 million) and introduced their r300 Series Hybrid Cloud Appliance, powered by what they’re touting as a “Converged Data Management” platform. Wow—that’s a mouthful, isn’t it? It sounds a bit like buzzword bingo, but after having spent a bit of time talking to Rubrik last week, there are some interesting (in my opinion) things going on here.
So what exactly is Rubrik doing? Here’s the “TL;DR” for those of you that don’t have the patience (or the time) for anything more in-depth: Rubrik is targeting the secondary storage and backup/recovery market with a solution that combines a distributed file system, a distributed metadata service, clustering, and a distributed task scheduler to provide a scale-out backup/recovery solution that also seamlessly integrates cloud storage platforms for long-term retention. The catch-phrase they’re using is “Time Machine for cloud infrastructure” (I wonder how our good friends in Cupertino will react to the use of that phrase?).
Here’s a bit more detail on the various components of the solution:
As part of a lab rebuild I’ve been doing over the last few weeks (funny how hardware failures can lead to a lab rebuild), I’ve been expanding the use of Ansible for configuration automation. In this post, I’m going to share the process I’ve created for bootstrapping newly-built servers into Ansible.
I developed this Ansible bootstrapping process to work in conjunction with the fully automated Ubuntu installation method that I described in an earlier post. The idea is that I would be able to boot a new server (virtual or physical), choose a configuration from the PXE menu, and a few minutes later have a built Ubuntu system. Then, with a single command, I could “bootstrap” the server into an Ansible configuration automation system. This latter part—configuring systems to work with Ansible—is what I’ll be describing here.
First, a (very) brief overview of Ansible. Ansible is a configuration automation tool that leverages standard SSH connections to remote devices in order to perform its work. Ansible is agentless, so no software has to be pre-installed on the managed servers, but this means Ansible has to authenticate against remote systems in order to establish these SSH connections. This authentication should, in ideal Continue reading
Welcome to Technology Short Take #51, another collection of posts and links about key data center technologies like networking, virtualization, cloud management, and applications/operating systems. Here’s hoping you find something useful in this collection!
In this post I’ll show you how to use apt-cacher-ng as an Apt proxy for Ubuntu systems on your network. I’m sure there are a lot of other resources that also provide this information, but I’m including it here for the sake of completeness and making it as easy as possible for others. Using an Apt proxy will help reduce the traffic coming from your network to external repositories, but it simpler and easier than running your own internal repository or mirror.
This isn’t the first time I’ve discussed apt-cacher-ng; almost two years ago I showed you how to use Puppet to configure Ubuntu to use apt-cacher-ng. This post focuses on the manual configuration of an Apt proxy.
On the server side, setting up an Apt proxy is as simple as one command:
apt-get install apt-cacher-ng
I’m sure there are some optimizations or advanced configurations, but this is enough to get the Apt proxy up and running.
On the client side, there are a couple of ways to configure the system. You could use a tool like Puppet (as described here), or manually configure the system. If you choose manual configuration, you can place the configuration in either /etc/apt/apt. Continue reading
Recently on Twitter, I mentioned that I had managed to successfully create a fully automated process for installing Ubuntu Server 14.04.2, along with a method for bootstrapping Ansible. In this post, I’m going to describe the installation process I built and the components that went into making it work. I’ll discuss the Ansible bootstrap process in a separate post. I significantly doubt that there is anything new or unique here, but hopefully this information will prove helpful to others facing similar challenges.
Before I continue, allow me to briefly discuss why I didn’t use a system like Cobbler instead of putting together my own system. Cobbler is a great tool. For me, though, this was also about deepening my own knowledge. I wanted to better understand the various components involved and how they interacted, and I didn’t feel I would really be able to do that with a “prebuilt” system like Cobbler. If you are more interested in getting something up and running as opposed to learning more about how it works (and that’s OK), then I’d recommend you skip this post and go download Cobbler. If, on the other hand, you want to make this into more Continue reading
In this post, I’ll just share a quick command that can be used to build and install a KVM guest using PXE instead of an ISO image. There’s nothing new here; this is just me documenting a command so that it’s easier for me (and potentially others) to find next time I need it.
I shared how to use the virt-install command to build KVM guest domains in a blog post talking about working with KVM guests. In that post, I used an ISO image with the virt-install command to build the guest domain.
However, there may be times when you would prefer to use PXE instead of an ISO image. To build a KVM guest domain and instruct the guest domain to boot via PXE, you would use this command (I’ve inserted backslashes and line returns to improve readability):
sudo virt-install --name=guest-name --ram=2048 --vcpus=1
--disk path=/var/lib/libvirt/images/guest-disk.qcow2,bus=virtio
--pxe --noautoconsole --graphics=vnc --hvm
--network network=net-name,model=virtio
--os-variant=ubuntuprecise
The key here is the --pxe parameter, which virt-install uses to instruct the guest domain to PXE boot instead of booting from a virtual CD-ROM backed by an ISO image.
Naturally, you’d want to substitute the desired values for the KVM Continue reading
With the recent release of Ubuntu 15.04, aka “Vivid Vervet”, the Ubuntu community has also unveiled an early release of LXD (pronounced “lex-dee”), a new project aimed at revitalizing the use of LXC and LXC-based containers in the face of application container efforts such as Docker and rkt. In this post, I’ll provide a quick introduction to LXD.
To make it easier to follow along with some of the examples of using LXD, I’ve created an lxd directory in my GitHub “learning-tools” repository. In that directory, you’ll find a Vagrantfile that will allow you to quickly and easily spin up one or more VMs with LXD.
LXD works in conjunction with LXC and is not designed to replace or supplant LXC. Instead, it’s intended to make LXC-based containers easier to use through the addition of a back-end daemon supporting a REST API and a straightforward CLI client that works with both the local daemon and remote daemons via the REST API. You can get more information about LXD via the LXD web site. Also, if you’re unfamiliar with LXC, check out this brief introduction to LXC. Once you’ve read that, you can browse some Continue reading
This session is titled “The Post-Cloud,” and the speaker is Nick Weaver, Director of SDI-X at Intel.
Nick starts his presentation with a summary of our society: some people produce goods through an effort, and others consume what is produced. Things have changed over the years that have affected this production-consumption model, but Nick quickly turns his focus to the use of machines in the production portion of this cycle. As production efficiency increased, the level of consumption also increased. This is especially true for computing machines, and how people consume the services/information produced by the computing machines.
This brings Nick around to a discussion of Jevons’ Paradox, which basically states that the increased efficiency of producing something actually leads to an increase in consumption, not a decrease of consumption.
So what does efficiency in technology look like? Technology enables things; by itself, it doesn’t really add value. Therefore, efficiency in technology means enabling more (or more powerful) things. Nick starts his discussion on technology efficiency with a discussion of DevOps, and what DevOps means. Although a number of technologies are involved to deal with the ever-increasing complexity and density that has emerged, DevOps is really about a culture change. Continue reading
This is a liveblog of the Thursday morning Cloud Connect keynote at Interop 2015 in Las Vegas. The title of the presentation is “Doing it Live,” and the speaker is Jared Wray (@jaredwray on Twitter; he’s Cloud CTO and SVP of Platform at CenturyLink).
As the session kicks off, Wray shares that his presentation was drastically altered, a nod to the drastic changes that he is seeing at CenturyLink. He then shares a bit of background on him, his history in IT, and the events that brought him to CenturyLink. Wray then spends a few minutes talking about CenturyLink and CenturyLink’s services, which he insists “isn’t a product pitch” (it feels like one). The key tenets of CenturyLink’s offerings are that they are fully automated; they are programmable; and they are self service.
Wray points out that CenturyLink’s transformation to next generation platform services and containers requires that they also transform their operations (and people, though that is called out separately).
According to Wray, the blanket “move everything to the cloud” doesn’t work; enterprises must embrace a “cap and grow” strategy. This means not moving applications if there is no benefit (and also moving applications to maintenance mode until Continue reading
This is “Techniques of a Network Detective,” led by Denise “Fish” Fishburne (@DeniseFishburne on Twitter). Denise starts the session with a quick introduction, in which she discloses that she is a “troubleshooting junkie.” She follows up with a short description of what life looks like in her role in the customer proof-of-concept lab at Cisco.
Denise kicks off the main content of the session by drawing an analogy between solving crimes and solving network performance/behavior problems. The key is technique and methodology, which may sound boring but really have a huge payoff in the end.
When a network error occurs, the network is the crime scene. This crime scene is filled with facts, clues, evidence, and potential witnesses—or even potential suspects. How does one get from receiving notification of the problem, to asking the right questions, to solving the problem? Basically it boils down to these major areas:
This session was titled “IPv6 Microsegmentation,” and the speaker was Ivan Pepelnjak. Ivan is, of course, a well-known figure in the networking space, and publishes content at http://ipspace.net.
The session starts with a discussion of the problems found in Layer 2 IPv6 networks. Some of the problems include spoofing RA (Router Advertisement) messages, NA (Neighbor Advertisement) messages, DHCPv6 spoofing, DAD (Duplicate Address Detection) DoS attacks, and ND (Neighbor Discovery) DoS attacks. All of these messages derive from the assumption that one subnet = one security zone, and therefore intra-subnet communications are not secured.
Note that some of these attacks are also common to IPv4 and are not necessarily unique to IPv6. The difference is that these problems are well understood in IPv4 and therefore many vendors have implemented solutions to mitigate the risks.
According to Ivan, the root cause of all these problems originates with the fact that all LAN infrastructure today emulates 40 year old thick coax cable.
The traditional fix is to add kludges….er, new features—like RA guard (prevents non-routers from sending RA messages), DHCPv6 guard (same sort of functionality), IPv6 ND inspection (same idea), and SAVI (Source Address Verification Inspection; complex idea where all these Continue reading
By now you’ve probably seen or heard the news about Ravello Systems launching Inception—the ability to run nested VMware ESXi on AWS or GCE, including the ability to run VMs on these nested ESXi instances. (Here’s Ravello’s press release.)
In my opinion, this is pretty cool, and it opens the door to a lot of different possibilities: upgrade testing, automation testing, new feature testing, hosted home labs (aka “Lab as a Service”). Lots of folks are interested in using this new Ravello functionality for “Lab as a Service.” Here’s Andrea Mauro’s take on this topic.
As part of the pre-launch activities, a number of bloggers and community advocates were able to work with Ravello on some very interesting projects:
I was also engaged with Ravello on a project: building a (reasonably) large-scale vSphere environment on Ravello. The original goal was to Continue reading
Welcome to Technology Short Take #50, the latest in my series of posts sharing various links and articles pertaining to key data center technologies. I hope that you find something useful here!