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Introduction to Docker

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James Turnbull
James Turnbull

Docker allows building, shipping and running applications as lightweight containers. It provides an isolated runtime environment for applications and their dependencies, allowing developers to easily deploy their code in a consistent manner across different environments. Operations teams also benefit from Docker as it standardizes the application lifecycle and deployment process, improving efficiency, quality and speed of continuous integration and deployment. Docker containers are more lightweight than virtual machines and provide better performance, density and portability.

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Introduction to  Docker Containerization is the new virtualization
who engineer and operations chap open source chap funny accent (photo by Jennie Rainsford)
other matters author http://www.jamesturnbull.net hack-n-slash developer https://github.com/jamtur01 pontification http://www.kartar.net
The Docker Book www.dockerbook.com
Who are you folks?
So what is Docker? Container virtualization Build, pack, ship and run applications as containers Build once, run in many places Isolated and content agnostic
Some history
So why should I care? Easy (and lightweight!) way to model reality Devs care about their app, Ops cares about the containers Golden images without the overhead
Why developers care... A clean, safe, hygienic and portable runtime environment No worries about missing dependencies, packages and other pain points Run each app in its own isolated container, so you can run various versions of libraries and other dependencies Automate testing, integration, packaging Reduce/eliminate concerns about compatibility on different platforms
Why operations care... Make the entire lifecycle more efficient, consistent, and repeatable Increase the quality of code produced by developers Eliminate inconsistencies between development, test, and production environments Support segregation of duties Significantly improves the speed and reliability of continuous deployment and integration
So why not VMs or Cloud? Speed of deployment Portability Size aka cached layering FTW Density & Performance Cost
Technology Stack Runs (for now) on most Linux distros cgroups and namespacing Device Mapper or AUFS or vfs or <pluggable in future> lxc or <pluggable in future>
Technology Stack
Docker Basics Image Registry Container
Building Docker images with a Dockerfile FO RM uut bnu MITIE JmsTrbl "ae@xml.o" ANANR ae unul jmseapecm RNatgtisal- aah2 U p-e ntl y pce EVAAH_U_SRwwdt N PCERNUE w-aa EVAAH_U_RU wwdt N PCERNGOP w-aa EVAAH_O_I /a/o/pce N PCELGDR vrlgaah2 EPS 8 XOE 0 ETYON [/s/bnaah2] NRPIT "ursi/pce" CD[-" "OERUD] M "D, FRGON"
Building the image $sd dce bid-=jmu0/pce". uo okr ul t"atr1aah2
Pushing the image $sd dce ps jmu0/pce uo okr uh atr1aah2
Running the container $sd dce rn- - 8 - /a/w/yp jmu0/pce uo okr u d p 0 v vrwwmap atr1aah2
Questions?

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