Automation

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Welcome to Technology Short Take #42, another installation in my ongoing series of irregularly published collections of news, items, thoughts, rants, raves, and tidbits from around the Internet, with a focus on data center-related technologies. Here’s hoping you find something useful!

Networking

  • Anthony Burke’s series on VMware NSX continues with part 5.
  • Aaron Rosen, a Neutron contributor, recently published a post about a Neutron extension called Allowed-Address-Pairs and how you can use it to create high availability instances using VRRP (via keepalived). Very cool stuff, in my opinion.
  • Bob McCouch has a post over at Network Computing (where I’ve recently started blogging as well—see my first post) discussing his view on how software-defined networking (SDN) will trickle down to small and mid-sized businesses. He makes comparisons among server virtualization, 10 Gigabit Ethernet, and SDN, and feels that in order for SDN to really hit this market it needs to be “not a user-facing feature, but rather a means to an end” (his words). I tend to agree—focusing on SDN is focusing on the mechanism, rather than focusing on the problems the mechanism can address.
  • Want or need to use multiple external networks in your OpenStack deployment? Lars Kellogg-Stedman shows you how in this post on multiple external networks with a single L3 agent.

Servers/Hardware

  • There was some noise this past week about Cisco UCS moving into the top x86 blade server spot for North America in Q1 2014. Kevin Houston takes a moment to explore some ideas why Cisco was so successful in this post. I agree that Cisco had some innovative ideas in UCS—integrated management and server profiles come to mind—but my biggest beef with UCS right now is that it is still primarily a north/south (server-to-client) architecture in a world where east/west (server-to-server) traffic is becoming increasingly critical. Can UCS hold on in the face of a fundamental shift like that? I don’t know.

Security

  • Need to scramble some data on a block device? Check out this command. (I love the commandlinefu.com site. It reminds me that I still have so much yet to learn.)

Cloud Computing/Cloud Management

  • Want to play around with OpenDaylight and OpenStack? Brent Salisbury has a write-up on how to OpenStack Icehouse (via DevStack) together with OpenDaylight.
  • Puppet Labs has released a module that allows users to programmatically (via Puppet) provision and configure Google Compute Platform (GCP) instances. More details are available in the Puppet Labs blog post.
  • I love how developers come up with these themes around certain projects. Case in point: “Heat” is the name of the project for orchestrating resources in OpenStack, HOT is the name for the format of Heat templates, and Flame is the name of a new project to automatically generate Heat templates.

Operating Systems/Applications

  • I can’t imagine that anyone has been immune to the onslaught of information on Docker, but here’s an article that might be helpful if you’re still looking for a quick and practical introduction.
  • Many of you are probably familiar with Razor, the project that former co-workers Nick Weaver and Tom McSweeney created when they were at EMC. Tom has since moved on to CSC (via the vCHS team at VMware) and has launched a “next-generation” version of Razor called Hanlon. Read more about Hanlon and why this is a new/separate project in Tom’s blog post here.
  • Looking for a bit of clarity around CoreOS and Project Atomic? I found this post by Major Hayden to be extremely helpful and informative. Both of these projects are on my radar, though I’ll probably focus on CoreOS first as the (currently) more mature solution.
  • Linux Journal has a nice multi-page write-up on Docker containers that might be useful if you are still looking to understand Docker’s basic building blocks.
  • I really enjoyed Donnie Berkholz’ piece on microservices and the migrating Unix philosophy. It was a great view into how composability can (and does) shift over time. Good stuff, I highly recommend reading it.
  • cURL is an incredibly useful utility, especially in today’s age of HTTP-based REST API. Here’s a list of 9 uses for cURL that are worth knowing. This article on testing REST APIs with cURL is handy, too.
  • And for something entirely different…I know that folks love to beat up AppleScript, but it’s cross-application tasks like this that make it useful.

Storage

  • Someone recently brought the open source Open vStorage project to my attention. Open vStorage compares itself to VMware VSAN, but supporting multiple storage backends and supporting multiple hypervisors. Like a lot of other solutions, it’s implemented as a VM that presents NFS back to the hypervisors. If anyone out there has used it, I’d love to hear your feedback.
  • Erik Smith at EMC has published a series of articles on “virtual storage networks.” There’s some interesting content there—I haven’t finished reading all of the posts yet, as I want to be sure to take the time to digest them properly. If you’re interested, I suggest starting out with his introductory post (which, strangely enough, wasn’t the first post in the series), then moving on to part 1, part 2, and part 3.

Virtualization

  • Did you happen to see this write-up on migrating a VMware Fusion VM to VMware’s vCloud Hybrid Service? For now—I believe there are game-changing technologies out there that will alter this landscape—one of the very tangible benefits of vCHS is its strong interoperability with your existing vSphere (and Fusion!) workloads.
  • Need a listing of the IP addresses in use by the VMs on a given Hyper-V host? Ben Armstrong shares a bit of PowerShell code that produces just such a listing. As Ben points out, this can be pretty handy when you’re trying to track down a particular VM.
  • vCenter Log Insight 2.0 was recently announced; Vladan Seget has a decent write-up. I’m thinking of putting this into my home lab soon for gathering event information from VMware NSX, OpenStack, and the underlying hypervisors. I just need more than 24 hours in a day…
  • William Lam has an article on lldpnetmap, a little-known utility for mapping ESXi interfaces to physical switches. As the name implies, this relies on LLDP, so switches that don’t support LLDP or that don’t have LLDP enabled won’t work correctly. Still, a useful utility to have in your toolbox.
  • Technology previews of the next versions of Fusion (Fusion 7) and Workstation (Workstation 11) are available; see Eric Sloof’s articles (here and here for Fusion and Workstation, respectively) for more details.
  • vSphere 4 (and associated pieces) are no longer under general support. Sad face, but time stops for no man (or product).
  • Having some problems with VMware Fusion’s networking? Cody Bunch channels his inner Chuck Norris to kick VMware Fusion networking in the teeth.
  • Want to preview OS X Yosemite? Check out William Lam’s guide to using Fusion or vSphere to preview the new OS X beta release.

I’d better wrap this up now, or it’s going to turn into one of Chad’s posts. (Just kidding, Chad!) Thanks for taking the time to read this far!

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In an earlier post, I provided an introduction to OpenStack Heat, and provided an example Heat template that launched two instances with a logical network and a logical router. Here I am going to provide another view of a Heat template that does the same thing, but uses YAML and the HOT format instead of JSON and the CFN format.

Here’s the full template (click here if the code box below isn’t showing up):

I won’t walk through the whole template again, but rather just talk briefly about a couple of the differences between this YAML-encoded template and the earlier JSON-encoded template:

  • You’ll note the syntax is much simpler. JSON can trip you up on commas and such if you’re not careful; YAML is simpler and cleaner.
  • You’ll note the built-in functions are different, as I pointed out in my first Heat post. Instead of using Ref to refer to an object defined elsewhere in the template, HOT uses get_resource instead.

Aside from these differences, you’ll note that the resource types and properties match between the two; this is because resource types are separate and independent from the template format.

Feel free to post any questions, corrections, or clarifications in the comments below. Thanks for reading!

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In this post, I’m going to provide a quick introduction to OpenStack Heat, the orchestration service that allows you to spin up multiple instances, logical networks, and other cloud services in an automated fashion. Note that this is only an introductory post—I’m not an expert on Heat, but I did want to share at least some basic information to help others get started as well.

Let’s start with some terminology, so that there is no confusion about the terms later when we start using them in specific examples:

  • Stack: In Heat parlance, a stack is the collection of objects—or resources—that will be created by Heat. This might include instances (VMs), networks, subnets, routers, ports, router interfaces, security groups, security group rules, auto-scaling rules, etc.
  • Template: Heat uses the idea of a template to define a stack. If you wanted to have a stack that created two instances connected by a private network, then your template would contain the definitions for two instances, a network, a subnet, and two network ports. Since templates are central to how Heat operates, I’ll show you examples of templates in this post.
  • Parameters: A Heat template has three major sections, and one of those sections defines the template’s parameters. These are tidbits of information—like a specific image ID, or a particular network ID—that are passed to the Heat template by the user. This allows users to create more generic templates that could potentially use different resources.
  • Resources: Resources are the specific objects that Heat will create and/or modify as part of its operation, and the second of the three major sections in a Heat template.
  • Output: The third and last major section of a Heat template is the output, which is information that is passed to the user, either via OpenStack Dashboard or via the heat stack-list and heat stack-show commands.
  • HOT: Short for Heat Orchestration Template, HOT is one of two template formats used by Heat. HOT is not backwards-compatible with AWS CloudFormation templates and can only be used with OpenStack. Templates in HOT format are typically—but not necessarily required to be—expressed as YAML (more information on YAML here). (I’ll do my best to avoid saying “HOT template,” as that would be redundant, wouldn’t it?)
  • CFN: Short for AWS CloudFormation, this is the second template format that is supported by Heat. CFN-formatted templates are typically expressed in JSON (see here and see my non-programmer’s introduction to JSON for more information on JSON specifically).

OK, that should be enough to get us going. (BTW, the OpenStack Heat documentation actually has a really good glossary. Please note that this link might break as OpenStack development continues.)

Architecturally, Heat has a few major components:

  • The heat-api component implements an OpenStack-native RESTful API. This components processes API requests by sending them to the Heat engine via AMQP.
  • The heat-api-cfn component provides an API compatible with AWS CloudFormation, and also forwards API requests to the Heat engine over AMQP.
  • The heat-engine component provides the main orchestration functionality.

All of these components would typically be installed on an OpenStack “controller” node that also housed the API servers for Nova, Glance, Neutron, etc. As far as I know, though, there is nothing that requires them to be installed on the same system. Like most of the rest of the OpenStack services, Heat uses a back-end database for maintaining state information.

Now that you have an idea about Heat’s architecture, I’ll walk you through an example template that I created and tested on my own OpenStack implementation (running OpenStack Havana on Ubuntu 12.04 with KVM and VMware NSX). Here’s the full template:

(Can’t see the code above? Click here.)

Let’s walk through this template real quick:

  • First, note that I’ve specified the template version as “AWSTemplateFormatVersion”. One thing that confused me at first was the relationship between the template format (CFN vs. HOT) and resource types. It turns out these are independent of one another; you can—as I have done here—use HOT resource types (like OS::Neutron::Net) in a CFN template. Obviously, if you use HOT resources you’re not fully compatible with AWS. Also, as I stated earlier, CFN templates are typically expressed in JSON (as mine is). Heat does support YAML for CFN templates, although again you’d be sacrificing AWS compatibility.
  • You’ll note that my template skips any use of parameters and goes straight to resources. This is perfectly acceptable, although it means that some values (like the shared public provider network to which the logical router uplinks and the security group) have to be hard-coded in the template.
  • One thing that the template format does control is some of the syntax. So, for example, you’ll note the template uses “Resources”, “Type”, and “Properties.” In some of the other template formats, these could be specified lowercase.
  • The first resource defined is a logical network, defined as type OS::Neutron::Net.
  • The next resource is a subnet (of type OS::Neutron::Subnet), which is associated with the previously-defined logical network through the use of the Ref built-in function on line 20. Built-in functions are another thing controlled by the template format, so when you want to refer to another object in a CFN template, you’ll use the Ref function as I did here. This associates the “network_id” property of the subnet with the logical network defined just prior. You’ll also note that the subnet resource has a number of properties associated with it—CIDR, DNS name servers, DHCP, and gateway IP address.
  • The third resource defined is a logical router.
  • After the logical router is defined, the template links the logical router to a pre-existing provider network via the OS::Neutron::RouterGateway type. (This was deprecated in Icehouse in favor of an external_gateway_info property on the logical router.) The UUID listed there is the UUID of a pre-existing provider network. Note the use of the Ref function again to link this resource back to the logical router.
  • Next up the template creates an interface on the logical router, using two Ref instances to link this router interface back to the logical router and the subnet created earlier. This means we are adding an interface to the referenced logical router on the specified subnet (and that interface will assume the IP address specified by the “gateway_ip” property on the subnet).
  • Next the template creates two Neutron ports, and links them to the default security group. Note that if you don’t specify a security group when creating the Neutron port, it will have none—and no traffic will pass.
  • Finally, the Heat template creates two instances (type OS::Nova::Server), using the “m1.xsmall” flavor and a hard-coded Glance image ID. These instances are connected to the Neutron ports created earlier using the Ref function once more.

(In case it wasn’t obvious already, you can’t just copy-and-paste this Heat template and use it in your own environment, as it references UUIDs for objects in my environment that won’t be the same.)

If you are going to use JSON (as I have here), then I’d recommend bookmarking a JSON validation site, such as jsonlint.com.

Once you have your Heat template defined, you can then use this template to create a stack, either via the heat CLI client or via the OpenStack Dashboard. I’ll attach a screenshot from a stack that I deployed via the Dashboard so that you can see what it looks like (click the image for a larger version):

A deployed Heat stack in OpenStack Dashboard

Kinda nifty, don’t you think? Anyway, I hope this brief introduction to OpenStack Heat has proven useful. I do plan on covering some additional topics with OpenStack Heat in the near future, so stay tuned. In the meantime, if you have any questions, corrections, or clarifications, I invite you to add them to the comments below.

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For the last couple of years, I’ve been sharing my annual “projects list” and then grading myself on the progress (or lack thereof) on the projects at the end of the year. For example, I shared my 2012 project list in early January 2012, then gave myself grades on my progress in early January 2013.

In this post, I’m going to grade myself on my 2013 project list. Here’s the project list I posted just under a year ago:

  1. Continue to learn German.
  2. Reinforce base Linux knowledge.
  3. Continue using Puppet for automation.
  4. Reinforce data center networking fundamentals.

So, how did I do? Here’s my assessment of my progress:

  1. Continue to learn German: I have made some progress here, though certainly not the progress that I wanted to learn. I’ve incorporated the use of Memrise, which has been helpful, but I still haven’t made the progress I’d like. If anyone has any other suggestions for additional tools, I’m open to your feedback. Grade: D (below average)

  2. Reinforce base Linux knowledge: I’ve been suggesting to VMUG attendees that they needed to learn Linux, as it’s popping up all over the place in all sorts of roles. In my original 2013 project list, I said that I was going to focus on RHEL and RHEL variants, but over the course of the year ended up focusing more on Debian and Ubuntu instead (due to more up-to-date packages and closer alignment with OpenStack). Despite that shift in focus, I think I’ve made decent progress here. There’s always room to grow, of course. Grade: B (above average)

  3. Continue using Puppet for automation: I’ve made reasonable progress here, expanding my use of Puppet to include managing Debian/Ubuntu software repositories (see here and here for examples), managing SSH keys, managing Open vSwitch (OVS) via a third-party module, and—most recently—exploring the use of Puppet with OpenStack (no blog posts—yet). There’s still quite a bit I need to learn (some of my manifests don’t work quite as well as I’d like), but I did make progress here. Grade: C (average)

  4. Reinforce data center networking fundamentals: Naturally, my role at VMware has me spending a great deal of time on how network virtualization affects DC networking, and this translated into some progress on this project. While I gained solid high-level knowledge on a number of DC networking topics, I think I was originally thinking I needed more low-level “in the weeds” knowledge. In that regard, I don’t feel like I did well; on the flip side, though, I’m not sure whether I really needed more low-level “in the weeds” knowledge. This highlights a key struggle for me personally: how to balance the deep, “in the weeds” knowledge with the high-level knowledge. Suggestions on how others have overcome this challenge are welcome. Grade: C (average)

In summary: not bad, but could have been better!

What’s not reflected in this project list is the progress I made with understanding OpenStack, or my deepened level of knowledge of OVS (just browse articles tagged OVS for an idea of what I’ve been doing in that area).

Over the next week or two, I’ll be reflecting on my progress with my 2013 projects and thinking about what projects I should be taking in 2014. In the meantime, I would love to hear any feedback, suggestions, or thoughts on projects I should consider, technologies that should be incorporated, or learning techniques I should leverage. Feel free to speak up in the comments below.

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I’m back with another “Reducing the Friction” blog post, this time to talk about training an e-mail spam filter. As you may recall if you read one of the earlier posts (may I suggest this one and this one?), I use the phrase “reducing the friction” to talk about streamlining and simplifying commonly-performed tasks so as to allow you to improve your own personal efficiency and/or adopt more efficient habits or workflows.

I recently moved my e-mail services off Google and onto Fastmail. (I described the reasons why I made this move in this post.) Fastmail has been great—I find their e-mail service to be much faster than what I was seeing with Google. The one drawback, though, has been an increase in spam. Not a huge increase, mind you, but enough to notice. Fastmail recommends that you help train your personal spam filter by moving messages into a folder you designate, and then telling their systems to consider everything in that folder to be spam. While that’s not hard, it’s also not very streamlined, so I took up the task of making it even easier and faster.

(Note that, as a Mac user, most of my tips focus on Mac applications. If you’re a user of another platform, I do apologize—but I can only speak about what I use myself.)

To help make this easier, I came up with this bit of AppleScript:

(Click here if you don’t see a code block above this paragraph.)

To make this work on your system, all you need to do is just change the two property declarations at the top. Set them to the correct values for your system.

As you can tell by the comments in the code, this script was designed to be run from within Apple’s Mail app itself. To make that easy, I use a fantastic tool called FastScripts (highly recommended!). Using FastScripts, I can easily designate an application-specific shortcut key (I use Ctrl-Cmd-S) to invoke the script from within Apple Mail. Boom! Just like that, you now have a super-easy way to both help speed up processing your e-mail as well as helping train your personal spam filter. (Note: if you are also a FastMail customer, refer to the FastMail help screens while logged in to get more details on marking a folder for spam learning.)

I hope this helps someone out there!

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In this post, I’m going to show you how to manage Open vSwitch (OVS) using the popular open source configuration management tool Puppet. This is not the first time I’ve written about this topic; in the past I showed you how to automate OVS configuration with Puppet via a hack utilizing some RHEL-OVS integrations. This post, however, focuses on the use of an actual Puppet module that will manage the configuration of OVS, a much cleaner solution—in my view, at least—than leveraging the file-based integrations I discussed earlier.

The Puppet module I’ll be using and discussing in this post is the L23Network module (found here on GitHub). This is an extremely flexible and useful module, capable of not only configuring and managing network interfaces but also capable of managing the configuration of OVS. The latter functionality—managing the configuration of OVS—will be the primary focus of this article (with one exception).

The L23Network module is pretty well-documented, so I won’t bother regurgitating the documentation here. Instead, I’ll just try to provide some specific examples, and tie those examples back to some of the various OVS configurations I’ve shown you in earlier posts.

First, let’s get “the one exception” I mentioned earlier out of the way. In OVS environments, you’ll often need to bring up a physical interface without assigning that interface an IP address. For example, consider a physical interface that is providing bridged connectivity to guest domains (VMs) on an OVS bridge. You’ll want the interface to be up, but the interface does not need an IP address. Using the L23Network module, you can accomplish that with this piece of code in your manifest:

l23network::l3::ifconfig {'eth1': ipaddr => 'none'}

Now that eth1 is up, you could create a bridge to which to attach it with this code:

l23network::l2::bridge {'br-ex': }

And then you could actually attach eth1 like this:

l23network::l2::port {'eth1': bridge => 'br-ex'}

You could then provide multi-VLAN bridged connectivity to guest domains via libvirt as I explained in my post on using VLANs with libvirt and OVS. (Or, if you are using LXC with libvirt and OVS, you could provide multi-VLAN bridged connectivity to containers.)

The L23Network module can also work with other types of interfaces, not just physical interfaces. Want to create an internal interface, perhaps to use as a tunnel endpoint for GRE tunnel as I described here? Use this snippet of Puppet code:

l23network::l2::port {'tep0': bridge => 'br-tun', type => 'internal'}

You could then assign the newly-created tep0 interface an IP address on your transport network like this:

l23network::l3::ifconfig {'tep0': ipaddr => '10.1.1.1/24'}

(In theory, you could also use the L23Network module to create an internal interface so as to run host management through OVS, but then you could run into issues communicating with the Puppet server over the same interfaces the Puppet server is configuring.)

I haven’t yet used L23Network to create/manage patch ports or GRE ports, but the documentation indicates the module is capable of doing so. This is an area that I plan to explore in a bit more detail in the near future (in my copious free time).

Based on the snippets I’ve given you above, it should be pretty straightforward how to combine these various pieces together to fully configure and manage OVS instances across a large number of systems. However, if you have any questions, feel free to post them in the comments below. I also welcome all other courteous feedback; you are encouraged to start (or join) the conversation.

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Some time ago, I showed you how to use Puppet to add Ubuntu Cloud Archive support to your Ubuntu installation. Since that time, OpenStack has had a new release (the Havana release) and the Ubuntu Cloud Archive repository has been updated with new packages to support the Havana release. In this post, I’ll show you an updated snippet of code to take advantage of these newer packages in the Ubuntu Cloud Archive repository.

For reference, here’s the original Puppet code I posted in the first article:

(If you can’t see the code snippet above, please click here.)

That points your Ubuntu installation to the Grizzly packages.

Here’s updated code that will point your installation to the appropriate packages to support OpenStack’s Havana release:

(Click here if you can’t see the code snippet above.)

As you can see, there is only one small change between the two code snippets: changing “precise-updates/grizzly” in the first to “precise-updates/havana” in the second. (Naturally, this assumes you’re using Ubuntu 12.04, the latest LTS release as of this writing.) I know this seems like a pretty simple thing to post, but I wanted to include it here for the sake of completeness and the benefit of future readers.

Feel free to speak up in the comments with any questions, suggestions, or corrections.

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Welcome to Technology Short Take #36. In this episode, I’ll share a variety of links from around the web, along with some random thoughts and ideas along the way. I try to keep things related to the key technology areas you’ll see in today’s data centers, though I do stray from time to time. In any case, enough with the introduction—bring on the content! I hope you find something useful.

Networking

  • This post is a bit older, but still useful in the event if you’re interested in learning more about OpenFlow and OpenFlow controllers. Nick Buraglio has put together a basic reference OpenFlow controller VM—this is a KVM guest with CentOS 6.3 with the Floodlight open source controller.
  • Paul Fries takes on defining SDN, breaking it down into two “flavors”: host dominant and network dominant. This is a reasonable way of grouping the various approaches to SDN (using SDN in the very loose industry sense, not the original control plane-data plane separation sense). I’d like to add to Paul’s analysis that it’s important to understand that, in reality, host dominant and network dominant systems can coexist. It’s not at all unreasonable to think that you might have a fabric controller that is responsible for managing/optimizing traffic flows across the physical transport network/fabric, and an overlay controller—like VMware NSX—that integrates tightly with the hypervisor(s) and workloads running on those hypervisors to create and manage logical connectivity and logical network services.
  • This is an older post from April 2013, but still useful, I think. In his article titled “OpenFlow Test Deployment Options“, Brent Salisbury—a rock star new breed network engineer emerging in the new world of SDN—discusses some practical deployment strategies for deploying OpenFlow into an existing network topology. One key statement that I really liked from this article was this one: “SDN does not represent the end of networking as we know it. More than ever, talented operators, engineers and architects will be required to shape the future of networking.” New technologies don’t make talented folks who embrace change obsolete; if anything, these new technologies make them more valuable.
  • Great post by Ivan (is there a post by Ivan that isn’t great?) on flow table explosion with OpenFlow. He does a great job of explaining how OpenFlow works and why OpenFlow 1.3 is needed in order to see broader adoption of OpenFlow.

Servers/Hardware

  • Intel announced the E5 2600 v2 series of CPUs back at Intel Developer Forum (IDF) 2013 (you can follow my IDF 2013 coverage by looking at posts with the IDF2013 tag). Kevin Houston followed up on that announcement with a useful post on vSphere compatibility with the E5 2600 v2. You can also get more details on the E5 2600 v2 itself in this related post by Kevin as well. (Although I’m just now catching Kevin’s posts, they were published almost immediately after the Intel announcements—thanks for the promptness, Kevin!)
  • blah

Security

Nothing this time around, but I’ll keep my eyes posted for content to share with you in future posts.

Cloud Computing/Cloud Management

Operating Systems/Applications

  • I found this refresher on some of the most useful apt-get/apt-cache commands to be helpful. I don’t use some of them on a regular basis, and so it’s hard to remember the specific command and/or syntax when you do need one of these commands.
  • I wouldn’t have initially considered comparing Docker and Chef, but considering that I’m not an expert in either technology it could just be my limited understanding. However, this post on why Docker and why not Chef does a good job of looking at ways that Docker could potentially replace certain uses for Chef. Personally, I tend to lean toward the author’s final conclusions that it is entirely possible that we’ll see Docker and Chef being used together. However, as I stated, I’m not an expert in either technology, so my view may be incorrect. (I reserve the right to revise my view in the future.)

Storage

  • Using Dell EqualLogic with VMFS? Better read this heads-up from Cormac Hogan and take the recommended action right away.
  • Erwin van Londen proposes some ideas for enhancing FC error detection and notification with the idea of making hosts more aware of path errors and able to “route” around them. It’s interesting stuff; as Erwin points out, though, even if the T11 accepted the proposal it would be a while before this capability showed up in actual products.

Virtualization

That’s it for this time around, but feel free to continue to conversation in the comments below. If you have any additional information to share regarding any of the topics I’ve mentioned, please take the time to add that information in the comments. Courteous comments are always welcome!

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In this post, I’ll show you how I extended my solution for managing user accounts with Puppet to include managing SSH authorized keys. With this solution in place, user accounts managed through Puppet can also include their SSH public key, and that public key will automatically be installed on hosts where the account is realized. All in all, I think it’s a pretty cool solution.

Just to refresh your memory, here’s the original Puppet manifest code I posted in the original article; this code uses define-based virtual user resources that you then realize on a per-host basis.

(If the code block showing the Puppet code isn’t appearing above, click here.)

Since I posted this original code, I’ve made a few changes. I switched some of the hard-coded values to parameters (stored in a separate subclass), and I made a few stylistic/syntactic changes based on running the code through puppet-lint. But, by and large, this is still quite similar to the code I’m running right now.

Here’s the code after I modified it to include managing SSH authorized keys for user accounts:

(Can’t see the code block? Click here.)

Let’s walk through the changes between the two snippets of code:

  • Two new parameters are added, $sshkeytype and $sshkey. These parameters hold, quite naturally, the SSH key type and the SSH key itself.
  • Several values are parameterized, pulling values from the accounts::params manifest.
  • You can note a number of stylistic and syntactical changes.
  • The accounts::virtual class now includes a stanza using the built-in ssh_authorized_key resource type. This is the real heart of the changes—by adding this to the virtual user resource, it makes sure that when users are realized, their SSH public keys are added to the host.

With this code in place, you’d then define a user like this:

(Click here if the code block doesn’t appear above.)

The requirement for Class[‘accounts::config'] is to ensure that various configuration tasks are finished before the user account is defined; I discussed this in more detail in this post on Puppet, user accounts, and configuration files. Now, when I realize a virtual user resource, Puppet will also ensure that the user’s SSH public key is automatically added to the user’s .ssh/authorized_keys file on that host. Pretty sweet, eh? Further, if the key ever changes, you need only change it on the Puppet server itself, and on the next Puppet agent run the hosts will update themselves.

I freely admit that I’m not a Puppet expert, so there might be better/faster/more efficient ways of doing this. If you are a Puppet expert, please feel free to weigh in below in the comments. I welcome all courteous comments!

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In this post, I’ll share with you some Puppet code that you can include in your manifests to install Open vSwitch (OVS) packages on Ubuntu. This post, along with a number of others (like using Puppet for Ubuntu Cloud Archive support or using Puppet to configure an Apt proxy) stems from my work on building a new home lab in which I’ll be doing some OpenStack and NSX testing.

This code makes a couple of assumptions:

  1. It assumes that you’ve established an internal Apt repository (I created one using reprepro). In the code below, you’ll see that I’ve used the Puppet Labs Apt module to define my internal Apt repository.
  2. It assumes that you have Debian packages for OVS in that internal Apt repository. Depending on which version of OVS you need (I needed a newer version than was available in the public repositories), you might be able to get away with just using the public repositories.

OK, with the assumptions out of the way, let’s have a look at the code:

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The code is fairly straightforward; the key is making sure that the appropriate packages are installed before you attempt to install the OVS DKMS module. This is reflected in the require statement for the openvswitch-datapath-dkms package.

I’ve only tested this on Ubuntu 12.04 LTS, so use at your own risk on other distributions and other versions.

As always, I encourage you to participate in the discussion by adding your questions, thoughts, suggestions, and/or clarifications in the comments below. All courteous comments are welcome.

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