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Updated to cover Docker version 1.10
Docker is quickly changing the way that organizations are deploying software at scale. But understanding how Linux containers fit into your workflow—and getting the integration details right—are not trivial tasks. With this practical guide, you’ll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production.
Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced.
- Learn how Docker simplifies dependency management and deployment workflow for your applications
- Start working with Docker images, containers, and command line tools
- Use practical techniques to deploy and test Docker-based Linux containers in production
- Debug containers by understanding their composition and internal processes
- Deploy production containers at scale inside your data center or cloud environment
- Explore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration
- Sales Rank: #70025 in Books
- Brand: O Reilly Media
- Published on: 2015-07-03
- Original language: English
- Number of items: 1
- Dimensions: 9.17" h x .49" w x 7.01" l, .85 pounds
- Binding: Paperback
- 232 pages
- O Reilly Media
About the Author
Karl Matthias is a Principal Systems Engineer with Nitro Software. He has worked as a developer, systems administrator, and network engineer for everything from startups to Fortune 500 companies. After a few years at startups in Germany and the UK followed by a stint at home in Portland, Oregon, he and his family recently landed in Dublin, Ireland. When not devoting his time to things digital, he can be found herding his two daughters, shooting film with vintage cameras, or riding one of his bicycles.
Sean Kane is currently a Lead Site Reliability Engineer for the Shared Infrastructure Team at New Relic. He has had a long career in production operations, with many diverse roles, in a broad range of industries. He has spoken about subjects like alerting fatigue and hardware automation at various meet-ups and technical conferences, including Velocity.Sean spent most of his youth living overseas, and exploring what life has to offer, including graduating from the Ringling Brother & Barnum & Bailey Clown College, completing 2 summer internships with the US Central Intelligence Agency, and building the very first web site in the state of Alaska. He gratefully lives in the US Pacific Northwest with his wife and children and still loves traveling and still photography.
Most helpful customer reviews
43 of 46 people found the following review helpful.
Mind the subtitle - this is a "Docker for DevOps" book
By Bill
Be careful to understand what this book is about before you order it. The subtitle is quite important: "shipping reliable containers in production." Although this is a deep topic that no one book cannot be a definitive reference for - this is precisely what this book is about. I happen to be interested in Docker for other reasons - for instance as a sandboxing tool in support of software development.
So if you're interested in Docker from the deployment and DevOps perspective, this book seems fine. That said, I think its a rather one-sided portrayal of a powerful tool that may have other uses.
9 of 9 people found the following review helpful.
Could have been good, but I can't recommend it.
By npc
Other reviewers have suggested that this book is good for beginners on the topic of using Docker in production. Respectfully, I disagree. There are a lot of well considered details included about the operation of Docker in a production environment, but there's a lot that's missing here. Overall, I while I believe that the details of the book are well considered, there is a lot of context missing that makes the material more difficult to understand than it should be.
Here's an example. In Chapter 9, "Docker at Scale", consider the section on running Docker on Amazon's EC2 service. The first step is to set up proper access in Amazon's IAM, and the authors provide a JSON snippet that will do so. Other than the mention of IAM, there's no discussion about where this code goes or how one would get it into production. Yes, someone familiar with AWS should know what to do with this, and, yes, this section assumes some familiarity with AWS. However, how much effort would it have taken to make this clear to the reader? One good sentence would do it, and doing so would improve the accessibility of this material to novices as well as the readability of the section greatly. The authors could broaden their audience and increase clarity with very little extra work, but they have to step back and read what they have written assuming that the reader doesn't know everything that they do.
Another example occurs just two pages later, when they show output from requesting details about a container instance within an AWS cluster. We get almost a page and a half of output, but then the authors don't describe any of the output or how it might be useful. What are the units? What do the numbers mean? How can I use this? How do I make the changes if I don't like what I see? I can figure this out, but why show me a page and a half of output without explaining what even a little of it means?
In my opinion, too much of the book is like this. The authors are clearly knowledgeable about the subject, the sentences are clear, and I don't doubt that they'd be good teachers of this material in an interactive environment. The problem is that readers of this book don't get to ask questions where clarification is necessary. I don't think the authors do a good job of contextualizing the details of operating Docker in a manner useful to those who don't already know most of this material. One can figure this stuff out with queries to online documentation, but, IMHO, the reason to buy a book is to have all that minutia aggregated into a coherent whole, and I just can't say that this is accomplished in this book. The book barely tips the scales at 200 pages, so I can't believe the authors were under pressure to keep the word count down. Another 40 pages of clarity would make it a lot more readable without making it overly long, and I'm guessing it would actually *shorten* the time it would take to read it cover to cover.
When assembling technical reviewers it can be tempting for authors to surround themselves with subject matter experts, but it is also important to find some way to look at the material from the perspective of the target audience. I don't know this is what happened in this case, but it sure feels like it to me. I don't know how much experience these authors have at writing, so my inclination is to put at least some of this on the managing editor. Someone should have been approaching the manuscript from the point of view of a reader at the low end of the experience scale, and I don't see any reason to think that this happened.
In any case, it's my opinion that the trees are all fine, but the forest gets lost. The best thing I can say about it is that if someone were to focus on these issues, a second edition could end up being pretty good.
3 of 3 people found the following review helpful.
Quick Intro to Docker
By Ryan MacLean
Just like the title says, this is a quick intro to Docker. The author does a very good job explaining the overall concepts of containers, some easy ways to get up and running, as well as an intro to the AWS ECS platform.
Unfortunately the code does not flow well online and lead to some very odd things, and the book itself has quite a few
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