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Archive for the ‘DevOps Toolchain Project’ Category

ServiceDeliveryPlatformExample

Integrating DevOps tools into a Service Delivery Platform (VIDEO)

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Damon Edwards / 

The ecosystem of open source DevOps-friendly tools has experienced explosive growth in the past few years. There are so many great tools out there that finding the right one for a particular use case has become quite easy.

As the old problem of a lack of tooling fades into the distance, the new problem of tool integration is becoming more apprent. Deployment tools, configuration management tools, build tools, repository tools, monitoring tools — By design, most of the popular modern tools in our space are point solutions.

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Video Q&A: Aaron Peterson and Kevin Gray on self-healing infrastructure

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Damon Edwards / 

At LISA 2010, I caught up with Aaron Peterson (Opscode) and Kevin Gray (Dyn) after they gave a very interesting presentation/demo called “DevOps Gameday“.

From the title, I think a number of attendees were expecting to see the standard Dev to Ops promotion/deployment of code that is so common to the DevOps discussion. Instead the presenters (Opscode, Zenoss, Dyn Inc.) focused on what happens when you have a failure after the code has been deployed. This demo was about self-healing infrastructure… breaking a multi-node system and having it heal itself.

Of course, this kind of canned demo isn’t all that new in the vendor world. However, what is very interesting about their efforts is they want to capture the best practices required to do it and share the code with the world through their combined project (hosted on GitHub). 

If they fulfill the mission of their open project, it’s exactly the kind of “here is how you can do what the big players do” sharing that is good for our industry. 

 

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Anthony Shortland on strategies for solving DevOps problems (Video)

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Dev2ops / 

Last night, Adrian Cole (of jclouds fame) organized a Java-oriented DevOps Meetup here in San Francisco. 

There were a number of freeform lightening talks used as an excellent device to get the conversation started. Below is an interesting talk from DTO’s Anthony Shortand. Anthony gave an excellent conceptual introduction to two strategies for solving DevOps problems, “Full Lifecycle Traceability” and “Establishing a Formal Separation of Concerns”.

 

 

 

 

DevOps (live) at OSCON

DevOps (live) at OSCON

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Dev2ops / 

Early reports from OSCON are that DevOps is a topic of much discussion. My fellow dev2ops.org contributor Alex Honor and I are headed to Portland this morning to give DevOps related talks at OSCON. If you are there Wednesday or Thursday, please come by and say hello!

 

Wednesday (7/21) 1:40pm in room Portland 251 is Alex’s presentation…
Open Source Tool Chains for Cloud Computing 

Thursday (7/22) 10:40am in room D135 is Damon’s presentation… 
The IT Philharmonic: How Out of Tune Are Your Operations? 

 

Both talks feature lots of new content (even though the titles and outdated descriptions on the OSCON site are similar to our Velocity talks) 

 

 

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Panel discussion from OpsCamp San Francisco (video)

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Damon Edwards / 

My fellow dev2ops.org contributor, Lee Thompson, and I were asked to be a part of an impromptu panel discussion that kicked off OpsCamp San Francisco.

The results were an interesting and organic conversation that ranged from “DevOps”, to “repository and dependency management”, to “security is not compliance”, to “managing multiple data centers”, and to a variety of other topics in the span of 24 minutes.

Luckily, we got it all on video.  (Special thanks to Erica Brescia from Bitnami for doing the camera work!)

OpsCamp San Francisco 2010 Panel Discussion from dev2ops.org on Vimeo.

 

Criteria for Fully Automated Provisioning

Criteria for Fully Automated Provisioning

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Damon Edwards / 

“Done” is one of those interesting words. Everyone knows what it means in the abstract sense. However, look at how much effort has to go into getting developers to agree that done really does mean 100% done (no testing, docs, formatting, acceptance, etc. left to do).

“Fully” is similarly an interesting word. I can’t tell you how many times I’ve encountered a a situation where someone says that they’ve “fully automated” their deployments. Then when they walk me through the steps involved with a typical deployment it’s full of just-in-time hand-editing of scripts, copying and pasting, fetching of artifacts, manual “finishing” or “verification” steps, and things of that nature. Even worse, if you ask two different people to walk you through the same process you might get two completely different versions of “fully” definitely not meaning “fully”.

Just like Agile developers use the mantra “done means done“. Operations needs the mantra “fully automated means fully automated“. Without a clear definition of what “fully automated” means, it’s going to be difficult to come up with any kind of consensus around solutions.

As part of the original “Web Ops 2.0: Achieving Fully Automated Provisioning” whitepaper, we listed a criteria for “Fully Automated Provisioning”. I’ve taken that content and posted to the new DevOps Toolchain project. Hopefully it will spur some discussion on what “fully automated” actually means.

Here’s the initial list of criteria:

1. Be able to automatically provision an entire environment — from “bare-metal” to running business services — completely from specification

Starting with bare metal (or stock virtual machine images), can you provide a specification to your provisioning tools and the tools will in turn automatically deploy, configure, and startup your entire system and application stack? This means not leaving runtime decisions or “hand-tweaking” for the operator. The specification may vary from release to release or be broken down into individual parts provided to specific tools, but the calls to the tools and the automation itself should not vary from release to release (barring a significant architectural change).

2. No direct management of individual boxes

This is as much a cultural change as it is a question of tooling. Access to individual machines for purposes other than diagnostics or performance analysis should be highly frowned upon and strictly controlled. All deployments, updates, and fixes must be deployed only through specification-driven provisioning tools that in turn manages each individual server to achieve the desired result.

3. Be able to revert to a “previously known good” state at any time

Many web operations lack the capability to rollback to a “previously known good” state. Once an upgrade process has begun, they are forced to push forward and firefight until they reach a functionally acceptable state. With fully automated provisioning you should be able to supply your provisioning system with a previously known good specification that will automatically return your applications to a functionally acceptable state. The most successful rollback strategy is what can be described as “rolling forward to a previous version”. Database issues are generally the primary complication with any rollback strategy, but it is rare to find a situation where a workable strategy can’t be achieved.

4. It’s easier to re-provision than it is to repair

This is a litmus test. If your automation is implemented correctly, you will find it is easier to re-provision your applications than it is to attempt to repair them in place. “Re-provisioning” could simply mean an automated cycle of validating and regenerating application and system configurations or it could mean a full provisioning cycle from the base OS up to running business applications.

5. Anyone on your team with minimal domain specific knowledge can deploy or update an environment

You don’t always want your most junior staff to be handling provisioning, but with a full automated provisioning system they should be able to do just that. Once your domain specific experts collaborate on the specification for that release, anyone familiar with a few basic commands (and having the correct security permissions) should be able to deploy that release to any integrated development, test, or production environment.

 

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