This document discusses DevOps and its benefits. DevOps aims to improve collaboration between development and operations teams to allow for faster delivery of software and services through practices like continuous integration, delivery, and deployment. The document notes the increasing complexity and pace of software development and how DevOps can help through improved customer satisfaction, quality, productivity, and other benefits. It provides examples of DevOps use cases and tools as well as service models for DevOps work.

1. DEVOPS

2. BUILDING
SOFTWARE
NOWADAYS
The challenge
Increased
complexity
Constant
change
Rapid cycles
to adapt

3. AND IT IS BECOMING EVEN
MORE IMPORTANT…
Yesterday | 6-12 Months+
Requirements Develop Test Deploy
Today / Tomorrow | 1 Week
Reqs Dev Test Deploy
Cloud
Microservices
Mobile
BigData
Social Network
IOT

4. HOW DEVOPS CAN HELP
Improved Customer
Satisfaction & ROI
Improve collaboration
between teams
(Business / Dev / Ops)
Improved Quality
› Faster time-to-
market/delivery
times that improves
ROI
› Faster Mean time to
Recover (MTTR)
› Employee
recruitment and
retention
› Productivity
› Stable/reliable
operating
environments
› Reduced failure
rates
› Continuous Release
and Deployment,
Continuous Testing,
and Continuous
Monitoring
Race classification after
final lap
Agile DevOps
Speed-to-market 36% 42%
Customer satisfaction / NPS 48% 52%
New business growth 44% 48%
Employee productivity 50% 49%
Quality of development /
Defects
47% 48%
Actual percent improvement
by advanced users
Research conducted by Coleman Parkes with 1770 senior IT and
businesss excecutives in 21 countries and 10 vertical sectors in
May-June 2016
Fastest agile lap
Employee
productivity
50%
Fastest DevOps lap
Customer
satisfaction / NPS
52%

5. DEVOPS & AGILE
ACADEMIC RESEARCH
EXPERTISE
+10 years
Of academic research &
development
+20
publications
+33000 man-
hours
Of research
+25
Undergradute and
postgradute courses
100%
Of projects using Agile
& DevOps practices
Experience at
scale from 1 to
+100 engineers
Engineers with
+4 years
Of experience on
containerization, AWS
and Google Cloud
Platform related
technology
+4 years
Of dedicated DevOps
and ALM projects

6. EXPERIENCE
AND
INNOVATION
IN EVERY AREA
DevOps
COLLABORATIVE
DEVELOPMENT
PROVIDER CLOUD
LEGEND
Application
Infrastructure
Management
Security
Analytics
Dev Ops
Reference: IBM DevOps architecture.
ARTIFACT
MANAGEMENT
BUILD, TEST, &
CONTINOUS INTEGRATION
CODE
EDITOR
MONITORING &
METRICS
USAGE
ANALYTICS
IT SERVICE
MANAGEMENT
RUNTIME &
CONTAINERS
DEPLOYMENT
ORCHESTRATION
SECURITY
APPLICATION
RELEASE
MANAGEMENT
SOURCE
CONTROL
ALERT
NOTIFICATIO
N

7. CODE & DELIVER
Our Selected Projects Our Tools Experience
• End to end continuous delivery pipeline
with jenkins, RTC, RQM, Jbehave, Sonar,
Maven, Docker and Artifactory for
microservices based application
• End to end continuous delivery pipeline
with jenkins, Jira, Bitbucket, Sonar, Gradle
and Artifactory for Android applications
• End to end continuous delivery pipeline
with XCode Server, Jira, Bitbucket for iOS
applications
• Microservices backend infrastructure with
Kubernetes in Google Container Engine
Reference: IBM DevOps architecture.
ARTIFACT
MANAGEMENT
BUILD, TEST, &
CONTINOUS INTEGRATION
CODE
EDITOR
DEPLOYMENT
ORCHESTRATION
RELEASE
MANAGEMENT
SOURCE
CONTROL

8. THINK & CULTURE
Our Selected Projects Our Tools and Process Experience
• Implementation of a collaborative
ecosystem with Rational Team Concert
• Agile deployment in a multisite-multi-
country environment with Rational Team
Concert
• Jira agile deployment and plug-ins
configuration for an agile software
development company
• Agile training and coaching, six sigma
cultural training and deployment.
Reference: IBM DevOps architecture.
COLLABORATIVE
DEVELOPMENT

9. RUN, MANAGE & LEARN
Projects Tools
• Backend cluster infrastructure configuration
and applications deployment in a VMWare
virtualized environment with Ansible
• Service performance monitoring dashboard
with Logstash, ElasticSearch and Kibana for a
backend service
• Mobile applications performance monitoring
with Google Analytics & Firebase Crash
Reporting
• IBM Maximo and RTC integration in order to
automate the reporting and tracking of issues
reported by operations
• Kubernetes services monitoring for a web
application backend hosted in AWS with New
Relic
• Deployment AWS cloud infrastructure setup for
a website frontend and backend with
Terraform
• Migration of a virtualized private cloud to
Kubernetes managed over AWS
Reference: IBM DevOps architecture.
MONITORING &
METRICS
USAGE
ANALYTICS
IT SERVICE
MANAGEMENT
ALERT
NOTIFICATIO
N
RUNTIME &
CONTAINERS
SECURITY
APPLICATION

10. OUR PERSONALIZED
IDEAL SERVICE
› Initial contact
› Set context for
service
› Define business
case for success
› Analyze together
current state
› Compare versus
Tech trends and
state of the art
› Define the future
› Set project goals
and scope
› Select service
model
› Select Agile
methodology to
follow
› Do it!
› Simple, agile,
trustful,
innovative,
customer focused
execution
› Analyze iteration
results
› Adapt to change
› Improve
continuously
INITIATE DIAGNOSE ESTABLISH ACT LEARN

11. SERVICE MODELS
Fixed Price Time & Material
› Well-defined project,
requirements and scope
› Any changes require re-
estimation of cost and time
frame
› Fixed project cost and
duration
› Billing presupposes several
milestone payments
› Undefined or ambiguous
initial requirements
› Cost based on actual person-
hours and can be adjusted
flexibly
› Any project changes are
possible
› Billing based on the amount
of work performed in the
billing period
Onsite
Mix
Remote

12. www.incluit.com