This document discusses the need for continuous delivery in software development. It defines continuous delivery as making sure software can be reliably released at any time. The document outlines some key aspects of continuous delivery including automated testing, infrastructure as code, continuous integration, and blue/green deployments. It provides an example of implementing continuous delivery for a large retail company using tools like Jenkins, Puppet, Logstash and practices like infrastructure as code and automated testing.

1. Path to Continuous
Delivery
anirudh bhatnagar
@anirudh_bh

2. 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

3. - 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!

4. Need of the hour!
FASTER, EFFICIENT, ERROR-FREE,
AUTOMATED DELIVERY OF
SOFTWARE

5. Forrester Research survey
A recent Forrester Research survey of Fortune 1000
companies indicates that 58% of IT leaders in their
companies place faster delivery of IT services in their top 3
priorities.
Yet, only 12% can deliver high quality results fast
enough.

6. Introducing Continuous Delivery

7. From Idea to Product

8. Definition of done
● Quality Code Compiled and Unit Tested.
● Deployed on an environment IDENTICAL to
actual environment as much as possible.
● Meeting ALL the Acceptance Criterias and
functionalities.
● Good to Go Live in ONE CLICK!

9. Every change starts from the first step
- Clean Code
- Refactoring
- OO Design
Principles

10. Code Quality Check points
Code Quality - SONAR, PMD, FindBugs,etc.

11. Unit Testing , TDD ,BDD

12. Mocking

13. Source Control Management
Branching strategy and tools

14. Continuous Integration

15. Managing Data
Automated Process:
-Inmemory databases
-Rollback Scripts
-Backups

16. Automated testing
Automated Functional and acceptance Testing.

17. Early feedback Environments
Need replica of Production Environments early
in the sprint, to deploy and test

18. Dependency on External Systems
Assume everything will fail

19. end to end automation

20. 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.

21. Sample Jenkins Build pipeline

22. Automated Deployment

23. Blue Green Deployments

24. Taking it to the next level !

25. Provisioning and On demand
Infrastructure

26. Infrastructure

27. Configuration Management
● How soon can you write this script?
● How maintainable is it?
● Can the cross functional teams understand them?
● Can you have versioning?
● Can you have reusability?
● Risk????
● Idempotency

28. Infrastructure as 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."

29. Tools of the game

30. 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.

31. Cloud Support : EC2
$ knife ec2 server create "role[Demo] -N
"demo.example.net" -i ami -3e02f257

32. Production
Deployment
tool

33. Impediments

34. Silos, departments and Corporates

35. The Division Wall!

36. The Dev world
Write Code
Write Unit Test Cases

37. The Ops World
Installation of server hardware and OS
Configuration of servers, networks, storage, etc…
Monitoring of servers
Respond to outages
IT security
Managing network
Change control
Backup and disaster recovery planning

38. Developer vs IT Operations

39. Bridging the gap- devOps!

40. its a cultural change
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.
And they are all in one same dev team trying to achieve
ONE GOAL!

42. picture courtesy : xebiaLabs

43. Case Study : Implementing
Continuous Delivery for a big Retail
Company

44. 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

45. 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 / PO

46. Delivery Components

47. Repositories and Release
Management

48. Configuration Management ( Puppet)

49. Jenkins : Build Pipelines

50. Logging and Dashboard: Logstash,
ElasticSearch with Kibana

51. Build Radiators

52. System Monitoring : Icinga

53. Questions and Feedback?

54. Thanks!