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Continuous Delivery in
Enterprise
anirudh bhatnagar
@anirudh_bh
Amazon’s web infrastructure guru James Hamilton uses Facebook’s recently
released energy data to make an educated guess for how many servers
Facebook now has: potentially 180,000. That’s up from an estimated 30,000
in the winter of 2009, and 60,000 by the Summer of 2010.
google has more than one million servers
10 releases per day!
● 3 engineers
● over 14 million users
● no hardware
● +100 instances on Amazon EC2
- competition - Reduce Time to Market
- Increasing users and traffic.
- Huge amount of servers on cloud.
- Zero downtime.
- Huge data
- Cost!
More Servers, More Releases, More Data!
Need of the hour!
FASTER, EFFICIENT, ERROR-FREE,
AUTOMATED DELIVERY OF
SOFTWARE
Introducing Continuous Delivery
From Idea to Product
agile methodologies
From the beginning!
Clean testable code.
Use of tools like ant, maven.
Unit test coverage.
Code Quality.
Source Control Management
Branching strategy and tools
Continuous Integration
Automated testing
Automated Functional and acceptance Testing.
But what about Release?
Definition of done
Committed and Compiled
Unit Tested
Deployed on QA/UAT
Automated Functional Test for acceptance
testing
Early Feedback
Introduce Dev/QA/UAT environment early in
the project
Automated Deployment
Build pipelines
t makes every part of the process of building, deploying, testing, and releasing software visible to everybody involved, aiding collaboration.
Increases visibility of each step.
Early feedback.
Automate deploy and release any version to any
environment.
Sample Jenkins Build pipeline
Provisioning and On demand
Infrastructure
Configuration Management
● How soon can you write this script?
● How maintainable is it?
● Can you write test cases for it?
● Can you have versioning?
● Can you have reusability?
● Risk????
● Idempotency
Infrastructure as code
Evolving from Scripts to code
"a flexible model for reuse by enabling users to model
infrastructure as code to easily and consistently configure
and deploy infrastructure across any platform.
Create a blueprint of your infrastructure that enables you to
build or rebuild, automatically in minutes or hours – not
weeks or months."
Tools of the game
What is Chef?
Chef is a configuration management tool.
Using its cookbooks and recipes we can
provisions VMs, environments.
Community maintained code, almost everything
is prebuilt (cookbooks and recipes), need not
reinvent the wheel, just modify as per the need.
Cloud Support : EC2
$ knife ec2 server create "role[Demo] -N "demo.example.
net" -i ami -3e02f257
Production
Deployment
tool
Impediments
Silos, departments and Corporates
1 : Inside the team
The Division Wall!
The Dev world
Write Code
Write Unit Test Cases
The Ops World
IT buying
Installation of server hardware and OS
Configuration of servers, networks, storage, etc…
Monitoring of servers
Respond to outages
IT security
Managing phone systems, network
Change control
Backup and disaster recovery planning
Manage active directory
Asset tracking
Developer vs IT Operations
Bridging the gap- devOps!
its a culture... its a movement..
Started as devOps days in Belgium in 2009.
Developers interested in cloud, clusters, servers,
deployments, databases learn to write code to maintain
them.
Ops people evolve and start developing the code to
maintain infrastructure.
Collaboration -> Best practices
Ops learn from developers - > Coding
principles,
managed code, versioning.
Dev learn from Ops -> Insights of environment
and deployments, their problems.
Introducing Mr. DevOps
Mr. Sacha Noam Baron Cohen
Designation : Senior DevOps Engineer
2. Outside the team
But, the Management?
The boss is always right!
The long wait for approvals...
Open source vs Proprietary!
Business Involvement
Case Study : Implementing
Continuous Delivery for a big Retail
Company
Building a PAAS solution for service orchestration for
services like Payment,Fraud Check,Fulfillment.
Technology : ESB Mule
Deployed on : EC2 and Cloud hub
Build tools: Jenkins, Maven, JGit plugin,
SCM : Git
Artifact repository : Nexus
Logging : Elastic search , LogStash with Kibana
System Monitoring : Icinga.
Test Automation:
-Functional Testing : JBehave + Selenium
-Performance /Load Testing : JMeter
Configuration Management : Puppet
Team Structure
1 Architect
3 developers
2 devOps
1 Automation QA
1 BA / Product Owner
1 Scrum Master
1 person from business acting as BA/support
Delivery Components
Repositories and Release
Management
Configuration Management ( Puppet)
Jenkins : Build Pipelines
Logging and Dashboard: Logstash,
ElasticSearch with Kibana
Build Radiators
System Monitoring : Icinga
Continuous Delivery Maturity Model
picture courtesy : xebiaLabs
Thanks!

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Continuous delivery in enterprise agile NCR 2014 New Delhi