1.
DevOps
Achieving speed to market by adding DevOps to your Agile methods

2.
IT organizations typically
spend more time testing,
deploying and releasing
software than designing and
building it
A high proportion of
production incidents are
a result of human errors
in the manual release
of software
IT Development and IT
Operations have different
values and ways of working
that are often
not in alignment
“IT Speed: The Crisis and the Savior of the Enterprise,” A Forrester Consulting study commissionedby Chef, December 2013
3Copyright © 2016 Accenture All rights reserved.
Challenges . . .
Only 17% of IT teams can deliver fast enough*

3.
ANZ Testing
Symposium 2015
Both digital and enterprise applications must move faster to keep pace
Multi-Modal IT – A new reality (at least for a while)
3Copyright © 2015 Accenture All rights reserved.
• Digital and mobile applications require fast
changes to respond to short feedback cycles.
• Legacy systems need to be streamlined
through automated deployment approaches.
• IT must adopt fundamentally new ways to
build software including innovative
engineering practices to compete with agility
and speed.

4.
ANZ Testing
Symposium 2015
While companies are flocking in ever-increasing numbers to cloud’s “everything-as-a-service” promise,
a reliance on traditional, in-house IT systems and applications still exists.
The Legacy Complication…and need for multi-modal IT
6
Channels & Customer Experience
“High Speed Agility”
DECOUPLING
Core Services
“Low Speed Stability”
Partners
Channels & Customer Experience
Core Services
Typical
project
Front
Back
- Today -
Cost & Pace of change led by front & backend changes
- Tomorrow -
Pace of change led by front end changes only; backend work is separate.
• High flexibility to customer needs
• Short-time to market
• Differentiation from competition
• Back-end for internal process
• High level of standardization
• Efficiency and low cost

5.
ANZ Testing
Symposium 2015
Difference between Agile and DevOps
6
Wall of
Conflict
Wanting
Change
Development
• Create effective change
• Add/Modify features
Wanting
Stability
Operations
• Create stability
• Enhance services
Wall of
Conflict
Wanting
Flexibility
Customers
• Create flexibility
• Improve time to market
Agile
Development
DevOps
Benefits:
Alignment between Business & IT
Flexibility
More effective solutions
Reduction in Risk
(Speed to market – through smaller
batches)
Benefits:
Speed to Market
Increased Throughput
Reduction in Risk
Faster Feedback
(Reduced Cost)

6.
ANZ Testing
Symposium 2015
Adopting DevOps principles compliments Agile delivery to enable faster delivery and speed to market
Why DevOps – example in an Agile delivery context
7Copyright © 2015 Accenture All rights reserved.
Team B
Backlog
Release
Iteration
Planning
Iteration
Planning
Iteration 1
Iteration 3
Iteration 2
Team A
Backlog
Iteration 1
Iteration 3
Iteration 2
Working software
Working software
Working software
Working software
Working software
Working software
! Wait
! Wait
! Wait
! Wait
Wallofconfusion
Developers Ops
Month 1
Month 2
Month 3
Month 4
Month 5
Month 6
Release 1
Release 2
Want Change Want Stability

7.
ANZ Testing
Symposium 2015
Benefits Dependency Network for Continuous Delivery
Vision Objectives Benefits
Implement a
DevOps enabled
optimised IT
delivery
organisation
Increase Business
Agility
Reduced requirement creep (largely a function of development schedule)
Reduced cost of experimentation - in turn reducing the investment hurdle challenge (not rate)
Reduce Time to
Market
Increased velocity and faster time to market
Reduced risk of building the wrong thing (and not finding out until too late)
Reduced WIP
Reduce Running
Costs
Reduced deployment effort (cost)/Reduced deployment duration (time)
Reduced risk of deployment failureIncrease Delivery
Productivity
Reduced idea - realisation cycle time
Continuous Improvement of delivery (as we cycle many times, rather than once a year)
Productivity (as a function of specialisation/standardisation)
Earlier regression test through CI/shift left
Faster defect resolution (function of smaller batch sizes and faster feedback cycle -> less
triage)
Reduced production outages due to badly planned/executed changes through improved ways of working,
automation and continuous deployment, self-healing architectures, modularised IT, consistent infrastructure
across environments
Reduced production downtime to support releases

8.
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DevOps Capabilities: Automated Release of Software
Leading Practices
1 2 3Source Code
Version Control
and Traceability
Deployment
Process
Deployment
Artifact
Management
Long-lived branches
discouraged – replaced with
feature toggling and smaller
units of change.
Zero touch, zero-downtime
deployment
Automatic rolled back of
failed changes
Artifact repository tool (e.g.
nexus) is consistently used
and accessible form all
environments.

9.
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DevOps Capabilities: Continuous Integration
Leading Practices
1 2 3
Traceability
Continuous
Integration
Code Quality &
Unit Test
Builds traceable to source
code and requirements.
Test-cases traceable to
requirements.
Release notes generated from
tools
Fully automated builds on
every check-in which triggers
continuous delivery pipeline if
quality gates met
Build is typically green – CI
tooling automatically
reverses the failed change
Maintaining or improving
static code analysis is a
quality gate

10.
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DevOps Capabilities: Continuous Delivery Pipelines (Incl. Automated QA)
Leading Practices
1 2 3 4
Test Strategy Test Automation
Test Data
Management
Deployment
Pipelines
Final test phase conducted in
production environment with
a portion of traffic
Tests automated and run
within the pipeline – including
UAT, performance and
security tests
Test data (and test scripts)
version-controlled and
released via pipeline
Deployment pipeline is
consistently used across all
environment and includes all
phases of the SDLC and
automated QA

11.
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Continuous Delivery vs. Continuous Deployment
Dev
Application
Test
Integration
Test
Acceptance
Test
Production
Dev
Application
Test
Integration
Test
Acceptance
Test
Production
Automatic
trigger
Manual
trigger
Continuous Delivery
Continuous Deployment

12.
Copyright © 2016 Accenture. All rights reserved. 13
SDLC: Agile + DevOps Tool Sets
13

13.
14
Accenture DevOps Platform
Pre-configured tools, environments, automation blueprints and security features to increase the speed of adoption
Cloud-hosted development
environment integrated to
source code repository via
code review server
Autonomous build and
testing of code submissions
ContinuousIntegration
Quality gates enforced using
standardized tests against re-
usable components and
libraries Continuous Delivery
Managed roll-out of new
features via A/B testing
ContinuousDeployment
Cloud-based hosting and access to application services through Accenture Cloud Platform
Code Analysis
(Sonar and Black
Duck)
Integrated
Development
Environment
(Eclipse, X-code)
Source Code
Repository
(Git / Gerrit)
Continuous
Integration
(Jenkins)
Deploy
(Chef and Docker)
Test
(Selenium, Grid,
Cucumber)
Enabling tools
Development
Source
Control
Code
Review
Build
Code
Quality
Deploy Testing
A/B
Test
Release
https://www.youtube.com/watch?v=cI1RpzdsDQI - https://github.com/accenture

14.
ANZ Testing
Symposium 2015
DevOps becomes a natural part of the Agile journey
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Formal
Establishment of
Agile Initiative
and creation of
Agile framework
2010Before 2010
Agile Training
roll-out, Central
Coaching Team
established
Simple Projects
in Customer
facing
applications
Complex, Multi-
Vendor Agile
program initiated
Test
Automation
project
Move from
centralized to
decentralized
coaching model
Governance
and Metrics
including
productivity
KPI’s
2011 2012 2013 2014
Bottom-up driven
Agile pilots in
pockets
2010Before 2010
Technical
practice
assessment for
main applications
SAFe as guiding
methodology for
scaling, including
SAFe training
Agile updates to
financial
governance
Transition to
broader IT
operating
model
transformation
2011 2012 2013 2014
Phase 1: Adopting Agile and Scaling
Phase 2: Adopting DevOps
Phase 3: New IT Op Model

15.
ANZ Testing
Symposium 2015
The Delivery models are evolving
Model 1:
Automated Application
Deployment into long-lived
Environments
Model 2:
Cloud provisioning of
Environments is part of the
Deployment process achieving
zero-downtime deployments
Model 3:
Container-based deployment of
Microservice based application
services

16.
DevOps Maturity Model – Framework
Copyright © 2015 Accenture All rights reserved. 1717
DELIVERY
ORGANISATION AND
METHODOLOGY
• Release Frequency
• Delivery Organisation
• Delivery Process & Methodology
• Metrics & Governance
LEAN DELIVERY
GOVERNANCE &
PROCESSES
• Governance Approach
• Continuous Improvement
• Product Management
• Delivery & Change Control
AUTOMATED RELEASE
OF SOFTWARE
• Source Code Version Control
• Deployment Process
• Deployment Artefact Management
CONTINUOUS
INTEGRATION
• Traceability
• Continuous Integration
• Code Quality & Unit Test
CONTINUOUS DELIVERY
(INCL AUTOMATED QA)
• Test Strategy
• Test Automation
• Test Data Management
• Deployment Pipelines
AUTOMATED
OPERATIONS
• Monitoring
• Organisational Considerations
• Resilience
SW DEFINED
INFRASTRUCTURE &
CLOUD
• Environments
• Infrastructure Suitability
• Responsiveness
PLATFORM/APPLICATION
ARCHITECTURE
• Architecture
• Impact of Component Failure
• Business Enablement
Architecture
Automated
Operations
Methodology
Lean Governance & Process
Automate
d Release
of SW
Continuous
Integration
Continuous
Delivery
Pipelines
SW Defined
Infrastructure

17.
DevOps Maturity Model - Overview
Copyright © 2015 Accenture All rights reserved. 18
DELIVERY
ORGANISATION
AND
METHODOLOGY
Release scope poorly
defined; subject to
catastrophic and ad hoc
change requests
Releases duration
exceeds business need;
releases face disruptive
change
Release cadences well
defined but exceeds
business need;
Requirements are stable;
Release on demand,
multi-speed releases;
time-box meets to
business need (eg:
monthly)
Small changes pushed
through the pipeline ;
Continuous deployment
enables innovation
LEAN DELIVERY
GOVERNANCE &
PROCESSES
No defined or consistent
applied delivery approach
Delivery approach is well
defined, but largely
manually governed
Industrialised project
delivery; governance
integrated into delivery
and product management
established
Blamefree culture
embedded in governance
that uses real-time data
rather than manual inputs
Continuous Delivery /
Deployment supporting
agile business change
with automated
governance
AUTOMATED
RELEASE OF
SOFTWARE
Mostly manual
deployments
Some CIs automated,
environment tailoring
required, no enterprise
tools
Fully automated Single-
touch deployments into
environments.
Functioning environments
can be build from nothing
programmatically.
Zero-touch zero-
downtime deployments
CONTINUOUS
INTEGRATION
No consistent use of
version control – builds
cannot be traced back to
source code
Source code consistently
managed in VCS;
releases traceable to
source
Developers integrate
changes by checking into
trunk on regular basis
(daily)
Build is typically green – if
build breaks developers
do not make other
changes until resolved
Build is typically green – if
build breaks the CI tooling
automatically reverses the
failed change
CONTINUOUS
DELIVERY (INCL
AUTOMATED QA)
Fully manual test scripts Testers run a harness /
suite
Test harness / suite run
automatically for some
envs
Automated test suites
enforce a quality gate
Tests run as functional
monitoring
AUTOMATED
OPERATIONS
No monitoring tools Tools in place, but not
configured beyond basic
OS checks
Functional monitoring in
place and DR is available
Environment and
application health
monitored and proactively
managed
Service level monitoring
(perf, usage) integrated
with infrastructure and
self-healing available
SW DEFINED
INFRASTRUCTURE
& CLOUD
Environments are
managed ad-hoc without
consistent blueprint
Environments follow
standards but are
manually created
Environments can be
created automatically and
follow common blueprint
SW defined infrastructure
that closely resembles
Production throughout
SDLC
Utility based computing
that leverages auto-
scaling for several SDLC
aspects
PLATFORM/APPLICA
TION
ARCHITECTURE
Big monolithic application
architecture
Architecture based on
platforms, business
requires IT for every
change
Resilient Architecture
minimising single point of
failures
Modular and scalable
architecture, that allows
for some business self
service configuration
Microservice based
architecture supported by
end-to-end ownership in
teams
REPEATABLE CONSISTENT OPTIMISEDAD-HOC LEADING0 1 2-1 3

18.
If you want to know more, there is a lot of free information on our DevOps site:
https://www.accenture.com/us-en/service-devops-services-overview.aspx
My personal blog: http://notafactoryanymore.com
Feel free to follow me: @mircohering
Thank you
Copyright © 2015 Accenture All rights reserved. 19