2017 Newt Global |www.NewtGlobal.com | Confidential

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Docker In Production Webinar Docker Orchestration

Newt Global Overview

Leader in DevOps Transformation, Test Automation and Cloud Enablement

Implemented end-to-end DevOps tool chains for Fortune 50 clients

Global Delivery Capability for any shore solution

Premium Level partnership with product companies

Reusable framework and libraries for faster delivery

Delivering cost optimization & measurable ROI consistently over a decade

Speakers

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• Venkat is DevOps Practice Leader, His area of expertise includes DevOps and Cloud. Consult Fortune 100 customers on DevOps IT Strategy. Responsible for building the global pre-sales, consulting and delivery team for Newt Global

• He has 16+ years of IT industry experience and delivered multiple enterprise scale projects for Fortune 500 customer base

Venkatnadhan ThirunalaiDevOps, Practice Leader Newt

Global

• AWS solution specialist, DevOps strategist. Area of expertise includes AWS infrastructure management and architectural design, Docker container management solution, DevOps strategy for automation, Ansible scripter for automation, Jenkins work practice for design architecture. Responsible for AWS management, Docker management and DevOps automation works with jenkins and ansible

• Industry experience of 6+ years in IT and worked on 24 projects with smooth deliverables for enterprise clients

Jayakarthi DhanabalanAWS Solution Specialist

Newt Global

Newt Global Overall Offerings

Onboarding Zone Engineering Zone Re-Architecture Zone

DevOps Pipeline CI/CD Enabled QA

Infrastructure Automation

Cloud Enablement

Modernize Architecture

Consulting Tool chain selection,

Implementation and Integration

Test Automation framework,

Intelligent # Tag

Infrastructure as code. Spin up/down

infrastructure on demand and

manage it as code

Assessment of application Refactor application

Data Migration services

Micro services based architecture &

domain based design

Engagements at various levels of maturity

Agile Process

Benefits:

Improve Agility To enable instant change deployment

Accelerate time to marketShorten the development to

deployment lifecycle

Increase ProductivityReduce downtime during deployment & errors caused by manual intervention

Enhance ROIOptimize tooling expenditure, increase

productivity,

Docker in production 1/2

Quick deployment One of the key features of Docker is its ease of deployment.

Containers can be deployed quickly and managed using orchestration tools such as Docker Swarm or Kubernetes.

Resource Management Resource management is a very crucial aspect in Docker systems.

Host machine resources such as CPU, memory, I/O, etc. are shared among the containers.

Over time, traffic spikes can happen and containers may face resource shortage.

Not having enough resources can cause containers to crash, thus disrupting the business.

Backup management Backups are vital for any live server. Disasters may strike any moment unexpectedly and an unavailable website can lead to a loss of business income.

Having backups handy, helps to ensure business continuity and to minimize the downtime. We maintain custom scripts to backup and restore the container data.

Docker in production 2/2

System security By default, Docker containers cannot be accessed from the external network. But when using docker in production, many applications require to be accessed externally.

This is done by exposing Docker container ports by mapping them to the host machine’s port. But when ports are exposed, security issues tag along with it.

Container monitoring Uptime and availability of production servers are crucial for online businesses. But high traffic, abusive users or vulnerable applications can cause containers to crash.

To timely identify crashes and resolve them to ensure uptime, an effective Docker monitoring system such as Zabbix

Image and storage management

The main components of a Docker infrastructure are the data storage for storing the container data and the image repository for saving Docker images.

In Docker, the data stored in the containers would be lost upon restart. To retain the data and to make the system scalable, we configure persistent data storage using data volumes.

Many applications and services require customized Docker images for their business. Keeping these images up-to-date with patches is crucial for Docker security.

Housekeeping Instructions

• All phones are set to mute. If you have any questions, please type them in the Chat window located beside the

presentation panel

• We have already received several questions from the registrants, which will be answered by the speakers during

the Q & A session

• We will continue to collect more questions during the session as we receive and will try to answer them during

today’s session

• In case if you do not receive answers to your question today, you will certainly receive answers via email shortly

• Thanks for your participation and enjoy the session!

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Docker Familiarize

Production scale clustering and container scheduling for Docker

Docker compose

Docker machine

Docker nodes

Docker CLI

Docker container

Continuous Availability of Services

Docker is all about the high and reliable service to the end user.

Failover setup and sequential execution is at priority for the web applications in HA setup.

Docker is all about resource utilization and saves good quantity of time used for deployment.

Docker deployments are easier and cross platform.

Docker container porting is simplified with the docker hub.

Docker management is handled container management solutions.

Docker Swarm - Features

Docker-native clustering system

Pool of Docker hosts into a single, virtual host.

Multi-host networking.

Load balancing

Rolling updates

Secure by default

Cluster management integrated with Docker Engine

Define the desired state of the various services in the application stack.

Swarm mode CLI - Production

swarm init

swarm join

service create

service inspect

service ls

service rm

service scale

service ps

service update

Swarm – setup

AWS architecture supports terraform for the rolling update and integrates the swarm mode configuration inside a AWS VPC.

• manager1• worker1• worker2

Service Automate – docker

Updating A Service Using Its Image Hash

Stack deployment is being made on automation

Docker service deployment with create and update commands

Lets look into the redis service deployment.

Demo

• We will have a simplified cluster formation in the AWS environment using Jenkins and terraform.

Kubernetes - Pods

Pod is one or more container• Volumes• IP/network• Port Space• CPU / Memory allocation

Ensures co-location / shared fate

Pods are scheduled, then do not move between nodes

Shared resources:

Label/selectors

Labels are arbitrary metadata

Attachable to nearly all API objects

Simple key=value pairs

Can be queried with selectors

Ex: release=stable, release=canary

Kubernetes AWS

Pods are created on EC2 and then the resources are shared.

Pods are working overlay networks.

We can see the service automate as similar to docker swarm cluster management.

Kubernetes – Demo

• Lets see the demo of working of cluster management with kubernetes.