Global Report Reveals DevOps Automation Is Becoming a Strategic Imperative for Large Organizations, but Only 38% Have a Clear Strategy for Implementing It
26 Setembro 2023 - 9:00AM
Business Wire
Automation is helping teams improve software
quality and reduce costs, yet organizations have only automated 56%
of their DevOps lifecycle
Dynatrace (NYSE: DT), the leader in unified observability and
security, today announced the findings of an independent global
survey of 450 IT practitioners responsible for DevOps and security
automation in large organizations. The research reveals that
organizations’ investments in DevOps automation are delivering
significant benefits, including a 61% improvement in software
quality, a 57% reduction in deployment failures, and a 55% decrease
in IT costs. In most organizations, however, DevOps automation
practices remain in the early stages of maturity. The absence of a
clearly defined strategy for DevOps automation, the prevalence of
toolchain complexity, and the challenges of analyzing observability
and security data are holding them back from realizing the full
impact of their investments. This research underscores the need for
data-driven and AI-powered automation practices that enable
organizations to be more responsive to business needs.
The complimentary Dynatrace 2023 DevOps Automation Pulse Report
is available for download. In addition, organizations are invited
to take the Dynatrace DevOps automation assessment to understand
the maturity of their practices.
Findings from the research include:
- In the next 12 months, organizations are investing in DevOps
automation to support security and compliance management (55%),
infrastructure provisioning and management (52%), and performance
optimization (51%).
- However, only 38% of organizations have a clearly defined
DevOps automation strategy to inform these investments.
- On average, organizations have succeeded in automating just
over half (56%) of their end-to-end DevOps lifecycle.
- The average organization relies on more than seven different
tools for DevOps automation.
- The biggest barriers preventing organizations from automating
new DevOps use cases are security concerns (54%), difficulty
operationalizing data (54%), and toolchain complexity (53%).
“As more organizations embrace cloud-native software delivery,
DevOps automation has evolved to become a strategic imperative,”
said Bernd Greifeneder, Chief Technology Officer at Dynatrace. “The
prevalence of Kubernetes architectures and technology stacks that
have surpassed human ability to manage are driving the need for
automated ecosystem orchestration and protection. Organizations are
attempting to meet this need by building and managing automation
scripts using a growing array of open source tooling bolted
together with DIY approaches and manual effort. However, the cracks
are starting to show in this fragmented approach. Teams are
entrenched in data silos, isolated pockets of automation, and
reactive and manually intensive operations and security efforts.
They urgently need a unified, AI-backed approach to DevOps
automation, or it will be impossible to accelerate innovation while
maintaining software quality and security.”
Additional research findings include:
- 71% of organizations use observability data and insights to
drive automation decisions and improvements in DevOps
workflows.
- However, 85% of organizations face challenges using
observability and security data to drive DevOps automation.
- The top three challenges facing organizations include
inaccessible data (51%), siloed data (43%), and the need for data
to flow through many systems to be analyzed (41%).
- 54% of organizations are investing in platforms to enable
easier integration of tools and collaboration between teams
involved in automation projects.
- 59% of organizations expect large language models (LLMs), such
as ChatGPT and Bard, to have a significant impact on their DevOps
automation capabilities, with the top three benefits including
increased productivity and reduced manual effort (57%), improved
development, security, and operations collaboration (56%), and
enabling teams to generate code automatically (48%).
“Data-driven automation is the key to unlocking innovation and
meeting customer expectations in the cloud-native era,” continued
Greifeneder. “This requires a platform that can handle the huge
volume and variety of data generated by cloud-native stacks and
uses AI to provide accurate and actionable insights for DevOps
automation. Unlike traditional AI techniques that are limited in
scope and applicability, platforms that combine predictive, causal,
and generative techniques can excel in specific capabilities to
address different DevOps automation use cases. This way, teams
maximize the value of their data, eliminate data silos, and can
automate DevOps processes with confidence.”
The report is based on a global survey of 450 IT practitioners
responsible for DevOps and security automation in large
organizations, including 150 in the U.S., 150 across EMEA, and 150
in Asia Pacific. The research was conducted by Coleman Parkes and
commissioned by Dynatrace.
About Dynatrace
Dynatrace (NYSE: DT) exists to make the world’s software work
perfectly. Our unified platform combines broad and deep
observability and continuous runtime application security with the
most advanced AIOps to provide answers and intelligent automation
from data at an enormous scale. This enables innovators to
modernize and automate cloud operations, deliver software faster
and more securely, and ensure flawless digital experiences. That’s
why the world’s largest organizations trust the Dynatrace® platform
to accelerate digital transformation.
Curious to see how you can simplify your cloud and maximize the
impact of your digital teams? Let us show you. Sign up for a free
15-day Dynatrace trial.
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version on businesswire.com: https://www.businesswire.com/news/home/20230926365257/en/
Investor Contact: Noelle Faris VP, Investor Relations
Noelle.Faris@dynatrace.com
Media Relations: Jerome Stewart VP, Communications
Jerome.Stewart@dynatrace.com
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