Deep cloud observability and advanced AIOps are key to ...

Deep cloud observability and advanced AIOps are key to scaling DevOps practices

2021 Global DevOps Report

The need for speed has never been more urgent. In today’s hyper-digital age,

organizations are under pressure to deliver new digital services in an increasingly

short timeframe. This places a burden on DevOps and Site Reliability Engineering

(SRE) teams, who must continue to meet their service level objectives (SLOs)

for the business, while driving shorter development cycles, producing better

quality software, and innovating faster than ever before. However, these

teams continue to grapple with time-consuming, manual processes and siloed

cultures. These challenges hinder organizations’ ability to scale DevOps practices

enterprise-wide and achieve ambitious digital transformation goals. A new,

more intelligent approach is needed to ensure faster time-to-market, greater

frequency of releases, and higher quality software, all of which are critical to

keep up with today’s business and customer demands.

This report examines the challenges DevOps and SRE teams face as they

work toward their objectives. Its findings highlight how these difficulties can

be overcome with a platform-based approach that offers full observability,

automation, and AI across the software development lifecycle.

Introduction

What’s inside

DevOps is critical to meet the rising pressure to innovate faster

Reducing friction for developers is critical to digital transformation

A unified toolchain is key to DevOps success

AI-augmented DevOps is essential to balancing speed and quality

Deeper, broader observability will enable DevOps at scale

©2021 Dynatrace2021 Global DevOps Report 2

1

3

5

2

4

2021 Global DevOps Report

Chapter 1:DevOps is critical to meet the rising pressure to innovate faster

Organizations are under more pressure than ever to drive faster innovation and deliver new digital

experiences to their customers, partners, and employees. In response to this, DevOps and SRE

practices are becoming increasingly critical. Organizations have already made great progress driving

DevOps across their applications, but need to scale these efforts further to deliver new products and

services with maximum speed, quality, and reliability.

is the expected increase in frequency of software releases within the next

two years.

Frequency of release

Between once per day and once per week

Between once per month and once per quarter

Between once per week and once per month

Between once per quarter and once every 6 months

©2021 Dynatrace 3


Chapter 1:

DevOps is critical to meet the rising pressure to innovate faster

admit they are often under

so much pressure to meet the

demand for faster innovation

that they must sacrifice

code quality

of DevOps leaders say

extending DevOps to

more applications is key

for digital transformation

and customer experience

of applications will

be fully DevOps

enabled by 2023

©2021 Dynatrace2021 Global DevOps Report 5©2021 Dynatrace 5

Chapter 2:Reducing friction for developers is critical to digital transformation

Despite their continued efforts to accelerate innovation, DevOps teams are held back by siloed and often

conflicting data insights, as well as time-intensive, manual CI/CD processes. This includes a heavy reliance

on human intervention in key stages of delivery, such as quality assurance and incident response, which

makes DevOps teams more reactive than proactive, and reduces the time they have available for more

value-driven tasks. As they seek to address this, organizations are realizing that automation across the

software development lifecycle and breaking down team silos are key to meeting the demand for faster

innovation.

of IT and DevOps teams’ time is spent on

manual CI/CD tasks like detecting code

quality issues, which reduces time

spent on innovation


Chapter 2:


To boost developer productivity, experience, and quality of life, DevOps leaders are investing in:

Modernizing tool stacks Eliminating manual

incident response

Automation of manual

CI/CD tasks

End-to-end observability AIOps-driven

decision-making

capabilities

DevOps value stream

management and

orchestration

68% 62% 62%45%

39%44%


Chapter 2:


say siloed team culture

is a barrier to DevOps success

say application complexity

is a barrier to DevOps success


Chapter 3:A unified toolchain is key to DevOps success

The increased prevalence of DevOps and continued adoption of cloud-based services has also resulted

in larger, more complex, and fragmented toolchains across the software development lifecycle. This is

hindering DevOps and SRE teams’ ability to work more effectively and maximize their output. To keep up

with the rapidly accelerating speed of innovation, organizations need to find a way to unify their toolchain

and provide more intuitive solutions that allow teams to perform key tasks with ease. This will enable

their teams to shorten development cycles, release faster, and refocus their efforts on activities that create

more value for the business.


Chapter 3:

A unified toolchain is key to DevOps success

say toolchain

complexity is a barrier

for DevOps success

say their DevOps toolchains

are becoming increasingly

fragmented and impeding

their ability to accelerate

innovation

say modernizing their

tool stacks is a priority

for increasing developer

productivity

say increased automation

will be essential to managing

and operating their DevOps

toolchains in the future


Chapter 4:AI-augmented DevOps is essential to balancing speed and quality

With a growing list of responsibilities, and more demands than ever on their time, DevOps and SRE teams

often find themselves under pressure to make a trade-off between maintaining quality and accelerating

delivery. In an age of 24/7 connectivity, when customers have an increasingly low tolerance for poor

digital experiences, this introduces unacceptable business risk. Therefore, organizations urgently need a

new approach to software delivery so their teams don’t have to choose between quality or speed. This

approach must augment human teams with AI and continuous automation capabilities that enable them

to drive faster, more secure release cycles with greater confidence and less risk.

of respondents say extending AIOps beyond

traditional use cases will play a critical role in the

future success of DevOps and SRE teams

By 2023, investment into automating code

delivery, deployment, and remediation across

DevOps pipelines is set to rise by 34%


Chapter 4:

AI-augmented DevOps is essential to balancing speed and quality

DevOps leaders are investing in the following to boost confidence in quality of software releases:

CI/CD automation Testing-as-a-Service Test automation AIOps-driven root

cause analysis

Testing software

quality earlier in the

development cycle

(shift-left quality)

Chaos engineering Testing security

earlier in the

development cycle

(shift-left security)

58%54%

43% 41%32%

28%34%


Chapter 5:Deeper, broader observability will enable DevOps at scale

Many organizations are still struggling to scale DevOps adoption from a series of lighthouse projects to

a true enterprise-wide culture and methodology. As they work to create more scalable DevOps and SRE

practices, organizations are investing in maturing their observability capabilities. They are also looking

for new ways to empower their teams with a single source of truth throughout the entire software

development lifecycle, which enables better collaboration and greater productivity. As a result, their

teams will be able to deliver higher quality software, shorten development cycles, and have more time

available to drive innovation.


Chapter 5:

Deeper, broader observability will enable DevOps at scale

say end-to-end observability

will be essential to DevOps

in the future

say a unified end-to-end platform

that seamlessly integrates their

toolchains will be critical to their

ability to scale DevOps beyond a

single lighthouse project


The Dynatrace difference

The unified Dynatrace® platform combines observability across the full software development lifecycle with application security and advanced

AIOps. Precise, AI-driven answers and continuous automation free development, DevOps, and SRE teams from time-consuming, manual tasks, while

helping to ensure releases maintain the highest levels of security and reliability. With a single source of truth, these teams can now collaborate more

effectively to deliver high-quality, innovative software faster.

Why Dynatrace is radically different:

Automatic

Zero-touch configuration, continuous

discovery, and topology mapping in

real time, with instant answers

and precise causation.

Full stack

Explainable AI engine, Davis®, which is built into

the core of the Dynatrace® platform, processes

billions of dependencies for instantly precise

answers, prioritized by business impact and

with root-cause determinization.

Intelligent

Understand all the relationships and

interdependencies, top to bottom —

from cloud infrastructure, applications

and microservices, to end-user

experience.

Enterprise scale

Automatic, enterprise-wide

deployment with support for latest

cloud-native architectures and

role-based governance.


Methodology

This report is based on a global survey of 1,300 development and DevOps leaders in large enterprises

with more than 1,000 employees, conducted by Coleman Parkes and commissioned by Dynatrace. The

sample included 200 respondents in the U.S., 100 in Latin America, 600 in Europe, 250 in Asia Pacific,

and 150 in the Middle East. For a detailed breakdown of findings by region, please refer to the global

data summary appendix.


Appendix

Global Data Summary: U.S. & Latin America — Chapter 1

Sample includes 200 respondents from the U.S. and 50 respondents from each of Brazil and Mexico.

Frequency at which organizations release software updates to their critical applications

U.S. Brazil Mexico

On demand (multiple deploys a day) 0% 0% 0%

Between once per day and once per week 1% 12% 8%

Between once per week and once per month 38% 30% 26%

Between once per month and once per quarter 59% 54% 60%

Between once per quarter and once every six months 2% 4% 6%


Appendix


Country

Average frequency at which organizations release software updates to their critical applications (days)

Average expected increase in deployment frequency

of updates for critical apps by 2023

DevOps leaders that say they are often under so much

pressure for faster innovation they sacrifice code quality

DevOps leaders that say extending DevOps to more

apps is key for digital transformation and CX

Percentage of apps that will be fully DevOps-enabled

by 2023

U.S. 46 55% 16% 95% 41%

Brazil 44 63% 26% 100% 45%

Mexico 49 60% 30% 100% 42%


Appendix


CountryAverage percentage of IT and DevOps

teams’ time spent on manual CI/CD tasks like detecting code quality issues

Average annual labor cost for DevOps teams’ time spent on manual CI/CD tasks*

U.S. 27% $6.6m

Brazil 30% $8m

Mexico 30% $8m

*(based on average salaries and percentage of working hours dedicated to these tasks)


Appendix


Areas DevOps leaders are investing in to boost developer productivity, experience, and quality of life

U.S. Brazil Mexico

Modernizing tool stacks 69% 52% 58%

Eliminating manual incident response 56% 62% 56%

Automation of manual CI/CD tasks 61% 52% 70%

End-to-end observability 43% 48% 46%

AIOps-driven decision-making capabilities 41% 50% 54%

DevOps value stream management and orchestration 28% 40% 44%


Appendix


Barriers to DevOps success identified by DevOps leaders U.S. Brazil Mexico

Siloed team culture 60% 72% 76%

Application complexity 61% 60% 72%

Lack of automation 42% 28% 28%

DevOps toolchains becoming more complex / fragmented 22% 40% 32%


Appendix


CountryDevOps leaders that say toolchain complexity is a

barrier for DevOps success

DevOps leaders that say DevOps toolchains are increasingly fragmented and impede

their ability to accelerate innovation

DevOps leaders that say modernizing tool stacks is

a priority for increasing developer productivity

DevOps leaders that say increased automation will be essential

to managing & operating DevOps toolchains

U.S. 22% 70% 69% 76%

Brazil 40% 54% 52% 78%

Mexico 32% 66% 58% 82%


Appendix


Country

DevOps leaders that say extending AIOps beyond traditional use cases will play a critical role in

the future success of DevOps engineers and SRE teams

Average increase expected in investment into automating code delivery, deployment, and

remediation across DevOps pipelines by 2023

U.S. 72% 32%

Brazil 84% 40%

Mexico 70% 37%


Appendix


Areas DevOps leaders are investing in to boost confidence in quality of software releases

U.S. Brazil Mexico

CI/CD automation 58% 56% 56%

Testing-as-a-Service 49% 66% 56%

Test automation 35% 42% 38%

AIOps-driven root cause analysis 34% 38% 40%

Testing software quality earlier in the development cycle (shift-left quality) 40% 34% 30%

Chaos engineering 30% 20% 32%

Testing security earlier in the development cycle (shift-left security) 27% 28% 26%


Appendix


CountryDevOps leaders that say end-to-end observability

will be essential to DevOps in the future

DevOps leaders that say a unified end-to-end platform that seamlessly integrates their toolchains

will be critical to their ability to scale DevOps beyond a single lighthouse project

U.S. 82% 84%

Brazil 82% 64%

Mexico 82% 76%


Appendix

Global Data Summary: Europe — Chapter 1

Sample includes 100 respondents from each of the UK, France, Germany, Italy, and Spain, and 25 respondents from each of Sweden, Denmark, Finland, and Norway.


UK France Germany Italy Spain Sweden Denmark Finland Norway

On demand (multiple deploys a day) 0% 0% 0% 0% 0% 0% 0% 0% 0%

Between once per day and once per week 11% 6% 4% 2% 4% 0% 8% 4% 20%

Between once per week and once per month 36% 38% 47% 34% 27% 52% 20% 36% 36%

Between once per month and once per quarter 49% 53% 46% 61% 63% 44% 72% 60% 40%

Between once per quarter and once every six months 3% 3% 3% 3% 6% 4% 0% 0% 4%


Appendix


Country

Average frequency at which organizations release software

updates to their critical applications (days)



DevOps leaders that say they are often under so much

pressure for faster innovation they sacrifice code quality



Percentage of apps that will be fully DevOps-enabled

by 2023

UK 43 60% 26% 100% 44%

France 43 67% 22% 100% 50%

Germany 40 63% 15% 99% 45%

Italy 47 58% 30% 99% 41%

Spain 51 57% 25% 99% 42%

Sweden 41 57% 16% 100% 37%

Denmark 47 55% 20% 100% 38%

Finland 43 61% 20% 96% 46%

Norway 37 72% 16% 100% 46%


Appendix


CountryAverage percentage of IT and DevOps teams’ time spent on manual CI/CD tasks like detecting code

quality issues


UK 30% $7.9m

France 33% $9m

Germany 31% $8.5m

Italy 27% $7m

Spain 29% $7.7m

Sweden 27% $6.4m

Denmark 23% $5.4m

Finland 31% $5.9m

Norway 33% $8m



Appendix




Modernizing tool stacks 70% 58% 65% 67% 55% 60% 64% 60% 60%

Eliminating manual incident response 60% 63% 67% 65% 58% 80% 60% 52% 36%

Automation of manual CI/CD tasks 65% 66% 65% 56% 61% 72% 44% 56% 68%

End-to-end observability 51% 34% 46% 45% 42% 44% 68% 52% 36%

AIOps-driven decision-making capabilities 44% 43% 42% 46% 46% 44% 36% 40% 40%

DevOps value stream management and orchestration 24% 28% 39% 46% 42% 36% 44% 36% 52%


Appendix


Barriers to DevOps success identified by DevOps leaders UK France Germany Italy Spain Sweden Denmark Finland Norway

Siloed team culture 75% 76% 69% 65% 58% 88% 72% 72% 76%

Application complexity 55% 61% 62% 58% 67% 84% 56% 68% 56%

Lack of automation 43% 31% 38% 44% 40% 28% 40% 24% 28%

DevOps toolchains becoming more complex / fragmented 29% 37% 37% 34% 42% 20% 36% 60% 40%


Appendix


CountryDevOps leaders that say

toolchain complexity is a barrier for DevOps success

DevOps leaders that say DevOps toolchains are increasingly fragmented

and impede their ability to accelerate innovation

DevOps leaders that say modernizing tool stacks is

a priority for increasing developer productivity

DevOps leaders that say increased automation will be essential to managing and operating

DevOps toolchains

UK 29% 60% 70% 81%

France 37% 72% 58% 74%

Germany 37% 74% 65% 79%

Italy 34% 61% 67% 88%

Spain 42% 69% 55% 81%

Sweden 20% 60% 60% 64%

Denmark 36% 68% 64% 68%

Finland 60% 64% 60% 76%

Norway 40% 64% 60% 76%


Appendix


CountryDevOps leaders that say extending AIOps beyond

traditional use cases will play a critical role in the future success of DevOps engineers and SRE teams



UK 84% 36%

France 85% 41%

Germany 85% 38%

Italy 73% 34%

Spain 76% 36%

Sweden 84% 33%

Denmark 56% 31%

Finland 80% 34%

Norway 80% 36%


Appendix




CI/CD automation 59% 61% 60% 52% 57% 72% 56% 56% 64%

Testing-as-a-Service 65% 67% 56% 59% 49% 48% 48% 60% 48%

Test automation 40% 30% 43% 32% 27% 60% 36% 40% 36%

AIOps-driven root cause analysis 43% 42% 35% 40% 39% 40% 32% 24% 40%

Testing software quality earlier in the development cycle (shift-left quality) 32% 32% 36% 25% 34% 24% 68% 48% 40%

Chaos engineering 16% 24% 27% 28% 31% 24% 36% 28% 24%

Testing security earlier in the development cycle (shift-left security) 28% 29% 25% 28% 37% 24% 36% 28% 28%


Appendix






UK 80% 69%

France 75% 67%

Germany 77% 71%

Italy 84% 67%

Spain 80% 83%

Sweden 60% 72%

Denmark 68% 56%

Finland 76% 80%

Norway 64% 84%


Appendix

Global Data Summary: Middle East — Chapter 1

Sample includes 50 respondents from the UAE, and 20 respondents from each of Egypt, Qatar, Kuwait, Saudi Arabia, and Bahrain (grouped together as ‘Rest of Middle East’ in the tables below).


UAE Rest of Middle East

On demand (multiple deploys a day) 0% 0%

Between once per day and once per week 0% 1%

Between once per week and once per month 52% 51%

Between once per month and once per quarter 48% 48%

Between once per quarter and once every six months 0% 0%


Appendix


Country





DevOps leaders that say they are often under so much pressure

for faster innovation they sacrifice code quality



Percentage of apps that will be fully

DevOps-enabled by 2023

UAE 38 54% 22% 98% 34%

Rest of Middle East 38 60% 28% 96% 37%


Appendix


CountryAverage percentage of IT and DevOps teams’

time spent on manual CI/CD tasks like detecting code quality issues


UAE 25% $5.8m

Rest of Middle East 25% $5.5m



Appendix



UAERest of

Middle East

Modernizing tool stacks 82% 68%

Eliminating manual incident response 64% 51%

Automation of manual CI/CD tasks 72% 70%

End-to-end observability 40% 42%

AIOps-driven decision-making capabilities 46% 44%

DevOps value stream management and orchestration 52% 52%


Appendix


Barriers to DevOps success identified by DevOps leaders UAERest of

Middle East

Siloed team culture 78% 80%

Application complexity 76% 80%

Lack of automation 38% 30%

DevOps toolchains becoming more complex / fragmented 34% 37%


Appendix




DevOps leaders that say DevOps toolchains are increasingly fragmented

and impede their ability to accelerate innovation

DevOps leaders that say modernizing tool stacks is a priority for increasing

developer productivity

DevOps leaders that say increased automation will be essential to

managing and operating DevOps toolchains

UAE 34% 68% 82% 68%

Rest of Middle East 37% 52% 68% 65%


Appendix


CountryDevOps leaders that say extending AIOps

beyond traditional use cases will play a critical role in the future success of DevOps engineers and SRE teams



UAE 66% 28%

Rest of Middle East 76% 34%


Appendix



UAERest of

Middle East

CI/CD automation 64% 60%

Testing-as-a-Service 54% 57%

Test automation 42% 48%

AIOps-driven root cause analysis 56% 52%

Testing software quality earlier in the development cycle (shift-left quality) 18% 40%

Chaos engineering 44% 40%

Testing security earlier in the development cycle (shift-left security) 26% 21%


Appendix






UAE 72% 72%

Rest of Middle East 65% 68%


Appendix

Global Data Summary: Asia Pacific — Chapter 1

Sample includes 100 respondents from Australia and 50 respondents from each of Singapore, India, and Malaysia.

Frequency at which organizations release software updates to their critical applications Australia Singapore India Malaysia

On demand (multiple deploys a day) 0% 0% 2% 0%

Between once per day and once per week 22% 10% 10% 8%

Between once per week and once per month 52% 46% 52% 68%

Between once per month and once per quarter 26% 44% 34% 24%

Between once per quarter and once every six months 0% 0% 2% 0%


Appendix


Country





DevOps leaders that say they are often under so much pressure

for faster innovation they sacrifice code quality



Percentage of apps that will be fully

DevOps-enabled by 2023

Australia 26 54% 22% 98% 33%

Singapore 35 55% 86% 96% 31%

India 33 53% 92% 96% 33%

Malaysia 27 56% 90% 98% 31%


Appendix


CountryAverage percentage of IT and DevOps teams’

time spent on manual CI/CD tasks like detecting code quality issues


Australia 21% $4.4m

Singapore 22% $4.6m

India 23% $4.9m

Malaysia 23% $5m



Appendix



Australia Singapore India Malaysia

Modernizing tool stacks 85% 78% 88% 86%

Eliminating manual incident response 69% 80% 76% 66%

Automation of manual CI/CD tasks 52% 58% 70% 60%

End-to-end observability 55% 42% 50% 44%

AIOps-driven decision-making capabilities 45% 46% 54% 46%

DevOps value stream management and orchestration 47% 50% 34% 58%


Appendix


Barriers to DevOps success identified by DevOps leaders Australia Singapore India Malaysia

Siloed team culture 99% 98% 92% 100%

Application complexity 93% 100% 96% 100%

Lack of automation 15% 14% 14% 8%

DevOps toolchains becoming more complex / fragmented 27% 6% 8% 10%


Appendix




DevOps leaders that say DevOps toolchains are increasingly

fragmented and impede their ability to accelerate innovation

DevOps leaders that say modernizing tool stacks is a

priority for increasing developer productivity

DevOps leaders that say increased automation will be essential to

managing and operating DevOps toolchains

Australia 27% 51% 85% 67%

Singapore 6% 38% 78% 62%

India 8% 34% 84% 68%

Malaysia 10% 44% 86% 60%


Appendix


CountryDevOps leaders that say extending AIOps

beyond traditional use cases will play a critical role in the future success of DevOps engineers and SRE teams



Australia 82% 31%

Singapore 86% 33%

India 92% 35%

Malaysia 90% 31%


Appendix


Areas DevOps leaders are investing in to boost confidence in quality of software releases Australia Singapore India Malaysia

CI/CD automation 49% 54% 66% 58%

Testing-as-a-Service 42% 54% 32% 46%

Test automation 58% 66% 62% 78%

AIOps-driven root cause analysis 46% 48% 48% 50%

Testing software quality earlier in the development cycle (shift-left quality) 40% 16% 44% 24%

Chaos engineering 42% 52% 42% 58%

Testing security earlier in the development cycle (shift-left security) 30% 28% 32% 24%


Appendix






Australia 62% 61%

Singapore 50% 62%

India 72% 68%

Malaysia 60% 62%

About DynatraceDynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That’s why many of the world’s largest enterprises trust Dynatrace® to modernize and automate cloud operations, release better software faster, and deliver unrivalled digital experiences.

blog @dynatrace

Automatic and intelligent observability for hybrid multiclouds

We hope this ebook has inspired you to take the next step in your digital journey.Dynatrace is committed to providing enterprises the data and intelligence they need to be successful with their

enterprise cloud and digital transformation initiatives, no matter how complex.

If you are ready to learn more, please visit dynatrace.com/platform for assets, resources, and a free 15-day trial.

©2021 Dynatrace10.14.21 13488_EBK_USlet_mt

Learn more

Deep cloud observability and advanced AIOps are key to ...

Documents

Transcript of Deep cloud observability and advanced AIOps are key to ...