— Introduction —

First blog



Computers have been one of the most fruitful inventions that humanity has witnessed in the last century or so. There have been many factors contributing to the rise of use of computers in almost all the fields from things as simple as adding two number to launching space probes to Deep Space. Many notable computer scientists have contributed to this rise. The computer has traveled a long journey from the ENIAC (Electronic Numerical Integrator and Computer) in early 1940s to the present world of Big Data, AI, Deep Learning.

Computers are dumb, unless a human writes something called as a software program to instruct the computer, what operations it has to perform.The people who are involved in creating software, make use of a process called SDLC (Software Development Life Cycle) which defines methods, phases, processes, other metrics that needs to be followed in order to ship the software according to business requirements.

There have been many development models like Waterfall, Iterative, Spiral, RAD, etc. One of the newest addition to this list is Agile which was officially coined in 2001. Another breed of Software Delivery methodolgy called devOps has sprung up to complement this.

There are many definitions of devOps, which varies from time to time and person to person.In its simplest form “DevOps is an approach to bridge gap agile software development and operations” [agileweboperations.com]
It tries to bring the traditionally different teams of Development, Testing, Operations, Security, Admin into one big family which work together to provide better services to the Business. The inception of using devOps in real-world projects has been termed as the next IT revolution. (http://info.puppet.com/rs/307-QLA-991/images/the-2016-State-of-DevOps-Report.pdf). Tons of tools have sprung out that helps an oraganisation to adapt to devOps startegies / refine their existing implementations.

docker 101 – v1.0

A brief introduction to docker and basic command usage

docker is one of the most popular containerization platform which helps developers, operators, sysadmins to develop, build and distribute robust applications. This eliminates the classic ‘it-works-on-my-machine’ syndrome among developers (no offence intended!!).  Available in two flavors — Community Edition [CE], Enterprise Edition [EE], CE being free of cost. docker can be installed in all major OS distributions including popular cloud computing platforms like Azure, AWS.



[image source :: http://www.networkcomputing.com/data-centers/docker-containers-9-fundamental-facts/1537300193%5D


The traditional approach used to have a dozen VMs running under a hypervisor which acted as a layer between all the Guest OSes and Host OS. docker eliminates this dependency by not having to create separate VMs for applications.


Basic commands and usage :

$ docker –version
Docker version 17.05.0-dev, build 08544b1

[desc] Prints out the docker version

$ docker info
Containers: 0
Running: 0
Paused: 0
Stopped: 0
Images: 0
Server Version: 17.05.0-dev
Storage Driver: overlay2
Backing Filesystem: xfs
Supports d_type: true
Native Overlay Diff: true
Logging Driver: json-file
Cgroup Driver: cgroupfs
Volume: local
Network: bridge host ipvlan macvlan null overlay
Swarm: inactive
Runtimes: runc
Default Runtime: runc
Init Binary:
containerd version: 422e31ce907fd9c3833a38d7b8fdd023e5a76e73
runc version: 9c2d8d184e5da67c95d601382adf14862e4f2228
init version: 949e6fa
Security Options:
Profile: default
Kernel Version: 4.4.0-66-generic
Operating System: Alpine Linux v3.5 (containerized)
OSType: linux
Architecture: x86_64
CPUs: 16
Total Memory: 120.1GiB
Name: node1
Docker Root Dir: /graph
Debug Mode (client): false
Debug Mode (server): true
File Descriptors: 15
Goroutines: 23
System Time: 2017-03-27T21:13:23.942533878Z
EventsListeners: 0
Registry: https://index.docker.io/v1/
Experimental: true
Insecure Registries:
Live Restore Enabled: false

WARNING: No swap limit support
WARNING: bridge-nf-call-iptables is disabled
WARNING: bridge-nf-call-ip6tables is disabled

[desc] shows the docker component information and the system information that is collected by docker

$ docker run hello-world
Unable to find image ‘hello-world:latest’ locally
latest: Pulling from library/hello-world
78445dd45222: Pull complete
Digest: sha256:c5515758d4c5e1e838e9cd307f6c6a0d620b5e07e6f927b07d05f6d12a1ac8d7
Status: Downloaded newer image for hello-world:latest

Hello from Docker!
This message shows that your installation appears to be working correctly.

To generate this message, Docker took the following steps:
1. The Docker client contacted the Docker daemon.
2. The Docker daemon pulled the “hello-world” image from the Docker Hub.
3. The Docker daemon created a new container from that image which runs the
executable that produces the output you are currently reading.
4. The Docker daemon streamed that output to the Docker client, which sent it
to your terminal.

To try something more ambitious, you can run an Ubuntu container with:
$ docker run -it ubuntu bash

Share images, automate workflows, and more with a free Docker ID:
For more examples and ideas, visit:

[desc] Pulls the docker image called ‘hello-world’ and shows a simple flow of docker.

$ docker pull alpine

[desc] Pulls an image called ‘alpine’ which is a lightweight Linux distro from docker Hub.

$ docker images
alpine latest 4a415e366388 3 weeks ago 3.99MB
ubuntu latest 0ef2e08ed3fa 4 weeks ago 130MB
hello-world latest 48b5124b2768 2 months ago 1.84kB

[desc] Displays the list of images in the host

$ docker run alpine echo “hello from alpine”
hello from alpine

[desc] Executes the passed command passed into a container.

$ docker ps -a
1ce2fa639c32 alpine “/bin/sh” 44 seconds ago Exited (0
) 13 seconds ago dazzling_jackson
2785afd14dcb alpine “echo ‘hello from …” 3 minutes ago Exited (0
) 3 minutes ago tender_volhard
ce2eac52e379 ubuntu “bash” 11 minutes ago Exited (1
) 11 minutes ago nervous_almeida
af52f465ea46 hello-world “/hello” 38 minutes ago Exited (0
) 38 minutes ago distracted_bell

[desc] Lists all the containers.