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DEVOPS INDONESIA
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DEVOPS INDONESIA
Jakarta, 20 August 2019
DevOps Community in Indonesia
Docker, What’s next?

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DevSecOps enthusiasts
Self proclaimed runner
4+ experience of DevOps in
banking industry
$rfebriya
Riza F. Ariyanto

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Background

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Still Background

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Docker
• 3.5 million applications have been placed in containers using Docker technology
• 37 billion containerized applications have been downloaded.
• 451 Research also sees Docker technology being wildly successful
• Annual revenue is expected to increase by 4x, growing from $749 million in 2016 to
more than $3.4 billion by 2021

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Docker
• A container image format
• A method for building container images (Dockerfile/docker build)
• A way to manage container images (docker images, docker rmi, etc.)
• A way to manage instances of containers (docker ps, docker rm, etc.)
• A way to share container images (docker push/pull)
• A way to run containers (docker run)

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Moby
Source: Solomon Hykes @solomonstre

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Moby
https://github.com/moby/moby
https://github.com/docker/cli

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The History of Containers
2008:
KERNEL & USER
NAMESPACES
2008:
LINUX
CONTAINER
PROJECT (LXC)
2013:
DOTCLOUD
BECOMES
DOCKER
2013:
RED HAT
ENTERPRISE
LINUX
2000
2010
2005
2000:
JAILS ADDED
TO FREEBSD
2006:
PROCESS
CONFINEMENT
2007:
GPC RENAMED
CGROUPS
2014:
GOOGLE
KUBERNETES
2001:
LINUX -VSERVER
PROJECT
2003:
SELINUX
ADDED TO LINUX
MAINLINE
2005:
FULL RELEASE
OF SOLARIS
ZONES
2013:
DOTCLOUD PYCON
LIGHTNING TALK
1979:
CHROOT
SYSCALL ADDED
1979

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Container
Important corrections
● Containers do not run ON docker.
Containers are processes - they
run on the Linux kernel.
Containers are Linux.
● The docker daemon is one of the
many user space tools/libraries
that talks to the kernel to set up
containers

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Container Engine
1. Provide API/User Interface
○ We really want to use a simple API and/or command line tool. That’s how the docker
command line interface and API were developed.
2. Pulling/Expanding images to disk
○ The container engine has to pull the images to a local cache.
○ Extracting the image layers to disk when a container is created.
3. Building a config.json
○ Container engine is responsible for creating a config.json and passing it to runc.

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Container Runtime
● Consuming the container mount point provided by the Container Engine
● Consuming the container metadata (config.json) provided by the Container
Engine
● Communicating with the kernel to start containerized processes (clone
system call)
● Setting up cgroups
● Setting up SELinux Policy
● Setting up App Armor rules

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You guys should read this
https://www.ianlewis.org/en/container-runtimes-part-1-introduction-container-r

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So what is actually Docker?
Source:https://www.aquasec.com/wiki/display/containers/Docker+Architecture

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So what is actually Docker nowadays?
● Docker contributed that libary to
the OCI standards body as a
reference implementation called
runc.
● runC is a lightweight tool that
does one thing and does it well: it
runs a container.
● Containerd is a simple daemon
that uses runC to manage
containers and exposes
● Docker Engine exposes not only
containers, but also images,
volumes, networks, builds, etc.
using a full-blown HTTP API

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Is not Finished
2017:
Moby project
Announced
2018:
CRI-O is GA and
powers OpenShfit
Online
2017
2016
2018
2015:
Tectonic
Announced
2016:
Docker engine
1.12 adds swarm
2016:
CRI-O project
launched under
the name OCID
2017:
Buildah released
and ships in RHEL
2018:
Podman released
and ships in RHEL
2017:
Kata merges
Clear & RunV
projects
2017:
Docker includes
the new
containerd
2016:
Containerd
project launched
2017:
V1.0 of image &
runtime spec
2018:
V1.0 of
distribution spec
2016:
Skopeo project
launched under
the name OCID
2015
2015:
RED HAT
CONTAINER
PLATFORM 3.0
2015:
STANDARDS VIA
OCI AND CNCF

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Standardise Container
• The goal of the OCI is to avoid a
“balkanization” of the container ecosystem,
and ensure that containers built with one
engine can run on another
• Runtime spec (runc = Reference
implementation)
• Image Spec
• Distribution Spec

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Use API/Interfaces to Container Runtimes

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How a container gets created in a Kubernetes environment
At a high level, conceptually here is what is happening:
Orchestration API -> Container Engine API -> Kernel API
Digging one level deeper:
Kubernetes Master -> Kubelet -> Docker Engine -> containerd
-> runc -> Linux kernel

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Next
In OpenShift 4 they are moving to this architecture:
Kubernetes Master -> Kubelet -> CRI-O -> runc -> Linux kernel
In the coming months, theoretically, some Kubernetes deployments could like this, with
containerd:
Kubernetes Master -> Kubelet -> containerd -> runc -> Linux
kernel

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Does It Matter?
CRI-O vs Containerd?
Which one should we use?

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Does It Matter?

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Docker alternative
• A method for building container images (Dockerfile/docker build)
• A way to manage container images (docker images, docker rmi , etc.)
• A way to manage instances of containers (docker ps, docker rm , etc.)
• A way to share container images (docker push/pull)
• A way to run containers (docker run)

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CRI-O

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CRI-O
Open source & Open governance
Lean, Stable, Secure and BORING!
● Tied to the CRI
● Shaped around Kubernetes
● Only supported user is Kubernetes
● Versioning and Support are tied to
Kubernetes

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Podman

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Podman
Library (libpod) and CLI (podman) for
managing OCI-based Pods, Containers, and
Container Images
• Replacement for docker cli (known CLI)
• Integrated with CRI-O
• No daemon running

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Demo Podman
$ docker images
$ sudo systemctl stop docker
$ podman images
$ podman run -it -d --rm -p 8080:80 nginx
$ curl http://localhost:8080
$ podman ps
$ podman logs <CONTAINER_ID>
$ podman exec -t <CONTAINER_ID> ls /etc/nginx
$ podman images
$ podman run -t fedora echo "Hello Riza"
$ podman ps -a

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Skopeo
• Copy images from/to (multiple
transports/storages)
• Inspect images
• Delete an image from a repository
• Standalone binary / No daemon running
• Perfect for pipelines (e.g. Jenkins)

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Demo Skopeo
COPY IMAGE
$ skopeo copy docker://busybox:latest docker-daemon:riza/busybox:200819
$ skopeo copy docker://busybox:latest docker://rfebriya/busybox:200819
$ docker images
$ docker run -it --rm -d riza/busybox:200819
$ docker ps -a
$ docker rm $(docker ps -qa)
$ skopeo inspect docker://busybox:latest

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Buildah
• Build images
• No daemon running
• shell-like syntax
• Build from Dockerfile(s)

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Demo Buildah
$ container=$(buildah from fedora)
$ buildah containers
$ buildah config --author "rfebriya" --label "METADATA=Built with buildah"
$container
$ buildah inspect $container
$ buildah run $container sh
# echo “Hello Riza, built by Buildah” > /hello
# ls /
# cat /hello
# exit
$ buildah commit $container riza/example-buildah
$ podman run -it riza/example-buildah cat /hello
$ buildah bud -t riza/example-buildah-dockerfile:200819 -f 200819/Dockerfile .
$ podman run -it riza/example-buildah-dockerfile:200819 cat /hello

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Dockerless
Consume a Dockerfile, but build image without a docker daemon
Pros:
• Docker build-like experience (just write a Dockerfile)
• Less configuration
• Docker image best practices can be codified into tools
Cons:
• Dockerfile fidelity might make difficult some use cases
• Different approaches to image layer construction; Very fragmented across vendors,
no real standard

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Conclusion
1. Docker still provides nice end-to-end experience when it comes to containers
especially for developers
2. Docker engine doesn’t move at the same speed as Kubernetes. It’s on a totally
different lifecycle (same with containerd). This makes it difficult to add features
in the engine to support the Kubelet.
3. There’s some alternatives out there beside the Docker and it’s still far from
finished yet.

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THANK YOU !
Quote by Steve