This document discusses how DevOps practices can be applied to Internet of Things (IoT) projects. It begins with an overview of DevOps and the IoT landscape. It then explains how DevOps processes like continuous integration, continuous delivery, and monitoring can help deliver IoT solutions more quickly. The document provides an example of how DevOps has been used for a connected farms project. It concludes with recommendations for adopting DevOps for IoT, including modeling devices as code and planning for flexibility and scale.

1. Will DevOps work for Internet Of Things (IOT)?
Vinod Venkateswaran
Industry Principal
Arul Pradipa
Senior Quality Manager

2. Today’s agenda
2
What is DevOps?1
What is IOT Landscape?2
DevOps in IOT3
Case examples4
Recommendations5

3. What is Devops?
3
Magic
wand?
Skillset?
Certification?
Philosophy?
Movement?
Tool?

4. DevOps is a philosophy, a cultural shift, delivering early business value
4
Change Stability
DevOps
Early business value
realization with reduced
time-to-market
200x
24x
Deployment
frequency
Mean Time To
Recover (MTTR)
3x
2555x
Change failure
rate
Shorter lead
times
2016 State of
DevOps
report
findings
Source: 2016 State of DevOps report presented by Puppet and DORA

5. Continuous Integration (CI) Continuous Delivery (CD) Pipeline
5
Develop
and
check-in
Build Unit test
System and
Integration
test
Deploy Measure
Changes to production
every 11.6 seconds
Multiple releases in a week,
all development on mainline
Code changes from developer
to production < 1 hour

6. DevOps is a must have to deliver experiences in a digital world
6
Forrester Brief:
State of DevOps
Industry
adoption for
2016 – Where’s
the heat?
Services and other manufacturing and
pharma are hottest industries for DevOps
Financial services, high-tech
manufacturing, and retail are all feeling
the heat
IoT is warming up for DevOps adoption

7. The IOT estimates are staggering
7
2003 2014 2020 2025
6.3 Billion 7.6 Billion
500 Million 50 Billion
80 Things/sec 250 Things/sec
1.9 Trillion 7.9 Trillion
Sources - IDC forecasts, Cisco, Raymond James research

8. IOT reference model
8

9. Physical devices, power consumption and scale of data define the uniqueness of an IOT
solution
9
• Multi-disciplinary solution
• Large vulnerability landscape
• Power management, form factor, operating conditions
for physical devices
• Device management
• Over The Air (OTA) updates
• Data velocity, variety and volume over scale
• Connectivity spectrum

10. The testing and deployment phases are hotspots when implementing DevOps in IOT projects
10
Testing Deployment
• Mimic the field
• Operating conditions –
battery, form factor
• Device compatibility,
version, model
• Device management
• Test for load under
deployment
• Device certification

11. We have successfully deployed enhanced DevOps across client engagements, here is an
example
11
How can IOT solutions in Connected Farms be tested and deployed leveraging DevOps?
• Simulate the standard data sets for
automated testing
• Version control the models – Device as
code
• Self diagnostics testing for real life

12. Our recommendations for adopting DevOps in IOT solution development
12
1 Don’t force fit DevOps, assess for natural fitment
2 Model the devices - “Device as code”
Emulation and Simulation are key
4 Plan for flexibility and scale
3

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