Continuous Delivery of Software

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1 Continuous Delivery of Software Reducing risks with systems, feedback and flow SEPG North America 2013 Joanne Molesky October 3, All rights reserved.

2 Purpose Challenge traditional concepts for software delivery 2

3 Agenda What is Continuous Delivery? Continuous Delivery principles and concepts Implications for organization process development Conclusion Questions 3

4 What is Continuous Delivery? 4

5 What is Continuous Delivery? An approach to delivering software that reduces the cost, time, and risk of delivering incremental changes to users fast, automated feedback on the production readiness of your applications every time there is a change whether code, infrastructure, configuration or database Jez Humble and David Farley 5

6 Continuous Delivery Concepts small feature chunks time Enables: Software that is always production ready Minimized lead time from idea to live Decisions based on real data and empirical evidence 6

7 CD is not: Continuous Release 7

8 Crash Course on Evolution of Software Development 8

9 A classic software release Design Build Test Release This should work. Here is is your documentation. I think this is the way it should go together Well, this isn t right! No more time or money left, put it in, warts and all. 9

10 A classic software release Defect Introduced Stuff built on top Deployment Issues! Defects! Bloat Feature incorrectly implemente d Business has Changed 10

11 Agile Software Delivery 11

12 Activities typically pulled forward: Inception Iterations Release Design Build Test Design Build Test Design Build Test Design Build Test Testing of completed stories by QAs Review & sign off stories by stakeholders Feedback incorporated into following iterations Release testing Release to production 12

13 Typical Agile Delivery Inception Iterations Release Deployment Issues! This is what we think it will look like and how we want to start. We built the basics. How does it look? What do we do next? You want something new? What shall we drop? We built the next part. How does it look? What do we do next? This is what is good to go Support Issues 13

14 Continuous Delivery 14

15 Deployment Pipeline - Treat Everything as Code operating environment update Implementation Planning PAF update mainframe ETL Check Data patching story / defect java CI production initiate regression Control-M Go live Dry run 15

16 Continuous Delivery: small incremental change Series of tested small commits??????????? Unsuccessful changes aren t allowed in the system Every successful change is a release Delivery candidate pipeline 16

17 Continuous Delivery: small incremental change??????? Releases on demand 17

18 Continuous Delivery The benefit: Releasing becomes a business decision 18

19 Repeatable Reliable Releases 19

20 Deployment Pipeline Deployment Pipeline = Greater Control Complete traceability No emergency Fast recovery Test ideas 20

21 Repeatable Reliable Releases Automation Less human error Faster service delivery Creates opportunities to practice Improves transparency Enables monitoring and measurement 21

22 Repeatable Reliable Releases Leverage virtual machines and IAAS Treat servers like cattle - NOT pets Continuous integration of code eventually no branching All changes managed in source control Creation of environments Deployments to all environments Automated testing 22

23 Flow 23

24 Functional Silos Create Waste Analayze Specif y Develop Test Release 24

25 Flow: Small Incremental Change Delivering smaller incremental change = Time and money saved, better product Delivers business value faster Easier to locate mistakes Easier to fix Build only what you need 25

26 Flow - Deliver Value Traditional Approach Untested/ Unreleased changes = risk Measurable Value = Code Time Working Software

27 Flow - Deliver Value Code Time Working Software Tested released changes = less risk Released changes = measureable value

28 Flow - Easier to Fix time to figure out cause of problem >> time to fix problem!??*!!##^%**#??!! time uh oh problem happens wheeew problem solved adapted from John Allspaw 28

29 Flow - Build Only What You Need Standish Group: how often features are used Stop when you have enough 29

30 Feedback 30

31 Continuous Delivery Principle: Early Feedback Early frequent feedback = Better product Fewer Defects Build the right thing 31

32 Technology Business Early Feedback support programming functional tests acceptance tests critique the product showcases exploratory testing usability testing unit tests component tests system tests performance tests security tests 32

33 Collaboration 33

34 Collaboration Collaboration = Better Outcomes Less waste Improved understanding Better decision making Shares responsibility Improves transparency 34

35 Typical IT Organisation Business Engineering Operations Project C Project A DBAs Infrastructure team Service Desk Project B 35

36 Think Product and Services Products / Services Operations IaaS Service desk Ops management 36

37 Process Implications 37

38 Solution Development Get rid of siloed functional teams Focus on people and outcomes first, then process Reduce bottle necks and waste Encourage self service Encourage collaboration Increase transparency and visibility Allow for experiments 38

39 Change Management Process One size does not fit all Decisions s/b made by those with knowledge and skin in the game Focus on outcomes, not activity Store evidence in the deployment pipeline Allow exceptions and improvement in the process 39

40 Project Management Think products, not projects Manage Portfolios Still need product development management Focus transparency and visibility of what is done Use empirical data to make decisions 40

41 Budgets and Financial Management Don t focus on annual budgets You still need to plan Manage product costs not project costs Rethink CapEx/OpEx buckets Allow for experimentation 41

42 Conclusion Digitalnative Colin Harris 42

43 References Continuous Delivery Jez Humble, David Farley Addison- Wesley, 2011 Lean Enterprise Jez Humble Joanne Molesky, Barry O Reilly To be Released O Reilly Books, 2014 Why Enterprises Must Adopt Devops to Enable Continuous Delivery Jez Humble, Joanne Molesky Cutter IT Journal, 24:08 pp 6-12, August

44

45 Q&A

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