Introduction to Docker at the Azure Meet-up in New York

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This is the presentation given at the Azure New York Meet-Up group, September 3rd. It includes a quick overview of the Open Source Docker Engine and its associated services delivered through the Docker Hub. It also covers the new features of Docker 1.0, and briefly explains how to get started with Docker on Azure.

Transcript of Introduction to Docker at the Azure Meet-up in New York

Docker

September 2014—Docker 1.2

@jpetazzo

● Wrote dotCloud PAAS deployment tools

– EC2, LXC, Puppet, Python, Shell, ØMQ...● Docker contributor

– Security, Networking...● Runs all kinds of crazy things in Docker

– Docker-in-Docker, VPN-in-Docker,KVM-in-Docker, Xorg-in-Docker...

Let's start with Questions

Raise your hand if you have ...

● Tried Docker (online tutorial)

Raise your hand if you have ...

● Tried Docker (online tutorial)● Tried the real Docker (e.g. deployed remote VM)

Raise your hand if you have ...

● Tried Docker (online tutorial)● Tried the real Docker (e.g. deployed remote VM)● Installed Docker locally (e.g. with boot2docker)

Raise your hand if you have ...

● Tried Docker (online tutorial)● Tried the real Docker (e.g. deployed remote VM)● Installed Docker locally (e.g. with boot2docker)● Written a Dockerfile (and built it!)

Raise your hand if you have ...

● Tried Docker (online tutorial)● Tried the real Docker (e.g. deployed remote VM)● Installed Docker locally (e.g. with boot2docker)● Written a Dockerfile (and built it!)● An image on Docker Hub (pushed or autobuilt)

Raise your hand if you have ...

● Tried Docker (online tutorial)● Tried the real Docker (e.g. deployed remote VM)● Installed Docker locally (e.g. with boot2docker)● Written a Dockerfile (and built it!)● An image on Docker Hub (pushed or autobuilt)● Deployed Docker images for dev/QA/test/prod...

Agenda

● What is Docker and Why it matters● What are containers● The Docker ecosystem (Engine, Hub, etc.)● Deployment options and first steps● What's new in the latest Docker?

Whatis Docker

Whyit matters

Deploy everything

● Webapps● Backends● SQL, NoSQL● Big data● Message queues● … and more

Deploy almost everywhere

● Linux servers● VMs or bare metal● Any distro● Kernel 3.8+ (or RHEL 2.6.32)

Currently: focus on x86_64.

(But people reported success on arm.)

Deploy reliably & consistently

Deploy reliably & consistently

● If it works locally, it will work on the server● With exactly the same behavior● Regardless of versions● Regardless of distros● Regardless of dependencies

Deploy efficiently

● Containers are lightweight– Typical laptop runs 10-100 containers easily

– Typical server can run 100-1000 containers

● Containers can run at native speeds– Lies, damn lies, and other benchmarks:

http://qiita.com/syoyo/items/bea48de8d7c6d8c73435http://www.slideshare.net/BodenRussell/kvm-and-docker-lxc-benchmarking-with-openstack

Booting 15 OpenStack VMs:KVM vs Docker

Memory speed:Bare Metal vs Docker vs KVM

OK, but what is

Docker?

Docker Engine+ Docker Hub

= Docker Platform

The Docker Engine runs containers.

OK, but what is a

container?

High level approach:it's a lightweight VM

● Own process space● Own network interface● Can run stuff as root● Can have its own /sbin/init

(different from the host)

« Machine Container »

Low level approach:it's chroot on steroids

● Can also not have its own /sbin/init● Container = isolated process(es)● Share kernel with host● No device emulation (neither HVM nor PV)

« Application Container »

Stop.Demo time.

Alright, I get this.Containers = nimble Vms.

Let's just tell the CFO,and get back to work!

What happens when something becomes

10-100x cheaper?

Random example:testing

● Project X has 100 unit tests● Each test needs a pristine SQL database

Random example:testing

● Project X has 100 unit tests● Each test needs a pristine SQL database

● Plan A: spin up 1 database, clean after each use– If we don't clean correctly, random tests will fail

– Cleaning correctly can be expensive (e.g. reload DB)

Random example:testing

● Project X has 100 unit tests● Each test needs a pristine SQL database

● Plan B: spin up 100 databases– … in parallel: needs too much resources

– … one after the other: takes too long

Random example:testing

● Project X has 100 unit tests● Each test needs a pristine SQL database

● Plan C: spin up 100 databases in containers– fast, efficient (no overhead, copy-on-write)

– easy to implement without virtualization black belt

Containers make testing(and many other things)

way easier

The container metaphor

Problem: shipping goods

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Solution:the intermodal shipping container

Solved!

Problem: shipping code

? ? ? ? ? ?

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Solution:the Linux container

Solved!

Separation of concerns:Dave the Developer

● Inside my container:– my code

– my libraries

– my package manager

– my app

– my data

Separation of concerns:Oscar the Ops guy

● Outside the container:– logging

– remote access

– network configuration

– monitoring

Docker's Entourage

Docker: the cast

● Docker Engine● Docker Hub● Docker, the community● Docker Inc, the company

Docker Engine

● Open Source engine to commoditize LXC● Uses copy-on-write for quick provisioning● Written in Go, runs as a daemon, comes with a CLI● Everything exposed through a REST API● Allows to build images in standard, reproducible way● Allows to share images through registries● Defines standard format for containers

(stack of layers; 1 layer = tarball+metadata)

… Open Source?

● Nothing up the sleeve, everything on the table– Public GitHub repository: https://github.com/dotcloud/docker

– Bug reports: GitHub issue tracker

– Mailing lists: docker-user, docker-dev (Google groups)

– IRC channels: #docker, #docker-dev (Freenode)

– New features: GitHub pull requests (see CONTRIBUTING.md)

– Docker Governance Advisory Board (elected by contributors)

Docker Hub

Collection of services to make Docker more useful.● Public registry

(push/pull your images for free)● Private registry

(push/pull secret images for $)● Automated builds

(link github/bitbucket repo; trigger build on commit)● More to come!

Docker, the community

● >500 contributors● ~20 core maintainers● >8,000 Dockerized projects on GitHub● >30,000 repositories on Docker Hub● >250 meetups in >90 cities in >30 countries● >750,000 downloads of boot2docker

Docker Inc, the company

● Headcount: ~50● Led by Open Source veteran Ben Golub

(GlusterFS)● Revenue:

– t-shirts and stickers featuring the cool blue whale

– SAAS delivered through Docker Hub

– Support & Training

Using Docker

One-time setup

● On your dev env (Linux, OS X, Windows)– boot2docker (25 MB VM image)

– Natively (if you run Linux)

● On your servers (Linux)– Packages (Ubuntu, Debian, Fedora, Gentoo, Arch...)

– Single binary install (Golang FTW!)

– Easy provisioning on Azure, Rackspace, Digital Ocean...

– Special distros: CoreOS, Project Atomic

Azure deployment

VMNAME=jpetazzoIMAGE=b39f27a8b8c64d52b05eac6a62ebad85__Ubuntu-14_04-LTS-amd64-server-20140724-en-us-30GBUSER=jpetazzoPASSWORD=1234abcdABCD@LOCATION="West US"

azure vm docker create $VMNAME \ $IMAGE $USER $PASSWORD -l "$LOCATION" export DOCKER_HOST=tcp://$VMNAME.cloudapp.net:4243docker --tls versionazure vm endpoint create $VMNAME 80

Authoring imageswith a Dockerfile

FROM ubuntu:14.04

RUN apt-get updateRUN apt-get install -y nginxRUN echo 'Hi, I am in your container!' \ >/usr/share/nginx/html/index.html

CMD nginx -g "daemon off;"

EXPOSE 80

docker build -t jpetazzo/staticweb .docker run -P jpetazzo/staticweb

FROM ubuntu:12.04

RUN apt-get -y updateRUN apt-get install -y g++RUN apt-get install -y erlang-dev erlang-base-hipe ...RUN apt-get install -y libmozjs185-dev libicu-dev libtool ...RUN apt-get install -y make wget

RUN wget http://.../apache-couchdb-1.3.1.tar.gz \ | tar -C /tmp -zxf-RUN cd /tmp/apache-couchdb-* && ./configure && make install

RUN printf "[httpd]\nport = 8101\nbind_address = 0.0.0.0" \ > /usr/local/etc/couchdb/local.d/docker.ini

EXPOSE 8101CMD ["/usr/local/bin/couchdb"]

docker build -t jpetazzo/couchdb .

FROM debian:jessie

RUN apt-get -y updateRUN apt-get install -y python-pip

RUN mkdir /srcWORKDIR /src

ADD requirements.txt /srcRUN pip install -r requirements.txt

ADD . /srcRUN python setup.py install

Do you evenChef?

Puppet?Ansible?

Salt?

Summary

With Docker, I can:● put my software in containers● run those containers anywhere● write recipes to automatically build containers

Advanced concepts

● naming– give a unique name to your containers

● links– connect containers together

● volumes– separate code and data

– share data between containers

Recent features: 0.10

● TLS support for API access● Configurable DNS search● BTRFS is no longer experimental● Integration with systemd cgroups● Use proxy environment variables (for registry)

Recent features: 0.11

● SELinux integration(works better with CentOS)

● DNS integration for links(access linked containers by hostname)

● « docker run --net »– use host networking for high speed

– share network of another container

Recent features: 0.12

● docker pause/unpause● more importantly: 1.0 release candidate :-)

Docker 1.1

● .dockerignore(don't upload your .git anymore!)

● docker logs --tail– further logging improvements on the way

(truncate)

Docker 1.2

● New cool options for docker run

--restart=always/no/on-failure

--cap-add=NETADMIN

--cap-drop=CHOWN

--device=/dev/kvm:/dev/kvm

Coming soon(maybe)

● logging improvements● device mapper tuning● image squashing● ARM support● use secrets in builds

● volume management● hairpin nat● IPV6 support● seccomp + native● user namespaces

Thank you! Questions?

http://docker.com/

@docker

@jpetazzo