State of DevOps Report Key Findings

Key Findings
Nigel Kersten - VP of Ecosystem Engineering, Puppet

About the authors
Alanna Brown
Original creator and
author of the report;
Director of Product
Marketing at Puppet.
Nigel Kersten
Longstanding report
author; VP of
Engineering at
Puppet. Former Site
Reliability Engineer at
Google.
Michael Stahnke
Sr. Director of
Engineering at
Puppet; pioneered
DevOps practices in
the enterprise before
DevOps was even a
thing.
Andi Mann
Chief Technology
Advocate at Splunk,
specializing in working
with enterprises for
decades on digital
transformation and
DevOps initiatives.

2018 State of DevOps Survey
● 3,000+ respondents
● Better global representation
● Translated in French, German,
Japanese and Malay
4CONFIDENTIAL - DO NOT DISTRIBUTE
Survey responses by region
Over the past 7 years, we’ve gathered 30,000+ responses from around the world,
making the State of DevOps Report the largest and most comprehensive study on the topic of DevOps.

Industry and annual revenue
CONFIDENTIAL - DO NOT DISTRIBUTE

Roles, departments, teams

5 Key Findings
7
● In a DevOps evolution, there are many paths to success, but even more that
lead to failure.
● Executives have a rosier view of their DevOps progress than the teams they
manage.
● Start with the practices that are closest to production; then address processes
that happen earlier in the software delivery cycle.
● Cross-team sharing is the key to scaling DevOps success.
● Automating security policy configurations is mission-critical to reaching the
highest levels of DevOps evolution.

Stage 0: Build the Foundation on Standardization
8
• Monitoring and alerting are configurable by the team operating the service
○ High performing teams are 24 times more likely to configure monitoring and alerting
• Reuse deployment patterns for building applications or services
○ Successful teams are 23 times more likely to reuse deployment patterns
• Reuse testing patterns for building applications or services
○ High performing teams are 44 times more likely to reuse testing patterns
• Teams contribute improvements to tooling provided by other teams
○ By using CM tools teams are 44 times more likely to contribute to other teams tooling
• Configurations are managed by a configuration management tool
○ Successful teams are 27 times more likely to always use a CM tool for CM

Key Finding 1:
In a DevOps evolution,
there are many paths to
success, but even more
that lead to failure.
9

5 Stages of DevOps Evolution

Stage 1: Normalize the Technology Stack
11
Stage Defining Practices Contributors to Success
● Application development
teams use version control
● Deploy on a standard set of
operating systems
● Build on a standard set of
technologies
● Put application configurations in
version control
● Test infrastructure changes before
deploying to production
● Source code is available to other
teams
1

Stage 2: Standardize and Reduce Variability
12
● Deploy on a single standard
operating system
● Build on a standard set of
technologies.
● Reuse deployment patterns for
building applications and services
● Re-architect applications based on
business needs
● Put system configurations in version
control
2

Stage 3: Expand DevOps Practices
13
● Individuals can do work
without manual approval
outside team
● Reuse deployment patterns
for building applications and
services
● Infrastructure changes are
tested before deploying to
production*
● Individuals accomplish changes without
significant wait times
● Post-incident reviews occur and results
are shared
● Build on a standard set of technologies
● Teams use continuous integration
● Infrastructure teams use version control
● Service changes can be made during
business hours
3

Stage 4: Automate Infrastructure Delivery
14
● Automate system
configurations
● Automate provisioning
● Application configurations
are in version control*
● Automate security policy configurations
● Resources made available via self
service
4

Stage 5: Provide Self-Service Capabilities
15
● Incident responses are
automated
● Resources available via self-
service
● Re-architect applications
based on business needs*
● Security teams are involved
in technology design and
deployment*
● Security policy configurations are
automated
● Application developers deploy testing
environments on their own
● Success metrics for projects are visible
● Experiences and lessons are shared
externally
● Provisioning is automated
5

Key Finding 2 :
Executives have a rosier view
of DevOps progress than
the teams below them.
16

Key Finding 3:
Start with the practices that are
closest to production, then
address processes that happen
earlier in the software delivery
cycle.
18

Key Finding 3
19
● Re-use deployment patterns for building applications and services
○ Successful organisations 23 X more likely to employ this practice
● Monitoring and Alerting configurable by the team operating the service
○ Successful organisations 24 X more likely to employ this practice
● Configurations managed by CM tool
○ Successful organisations 27 X more likely to use configuration management

Automation and DevOps evolution

Key Finding 4 :
Cross-team sharing is the key
to scaling DevOps success.
21

Culture and DevOps Evolution - Active Promotion

Key Finding 5:
Automating security policy
configurations is a critical
practice at the highest levels
of DevOps evolution.
24

Security Policy Configuration
25
● Mission critical
○ Internal considerations eg RBAC
○ External - eg Sarbanes Oxley, GDPR
● Contributor to success in cross team sharing - eg remote, cloud based
DBs
● Automated security policy ensures compliancies
● Building into configuration management acts as a normalizing function for
the team
● Building into application design and build to eliminate security incidents
upon release

5 Key Findings - Summary
26
● The DevOps Journey is not Linear - it’s Evolutionary
● The 5 Key Stages and Foundational Stage (0) are currently relevant to
Organisations
● As Organizations evolve, the focus practices will also change and evolve
● The Devops Journey has multiple starting points and no final destination
● The Puppet model is to help Organizations get started and scale success
fast through best practices
● DevOps is a Culture - not a Technology

Application Deployment with Puppet

Environment Provisioning with Puppet

30
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State of DevOps Report Key Findings

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