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FOUR OBSERVABILITY TRENDS IT LEADERS SHOULD HAVE ON THE RADAR IN 2023

Published December 15, 2022 Updated February 13, 2023 4 min read

Bernd Greifeneder
Observability AIOps Application security DevOps Digital transformation

Here are four significant observability trends we’ll see shaping IT leaders’
agendas in 2023.

Just as the world began to emerge from the immediate effects of an unprecedented
global healthcare crisis, it faced yet another emergency. Soaring energy costs
and rising inflation have created strong macroeconomic headwinds that force
organizations to prioritize efficiency and cost reduction.

However, organizational efficiency can’t come at the expense of innovation and
growth. Otherwise, organizations will quickly fall behind their rivals in an
increasingly competitive market. The need to strike this balance correctly will
be the dominant factor underlying digital transformation initiatives in the year
ahead. In light of this, here are my predictions for the most significant
observability trends we’ll see shaping IT leaders’ agendas in 2023.


FOUR OBSERVABILITY TRENDS FOR 2023

OBSERVABILITY TREND NO. 1: “TRUSTWORTHY AI” WILL EMERGE AS A REQUIRED ATTRIBUTE
FOR ORGANIZATIONS THAT NEED TO AUTOMATE INCREASINGLY COMPLEX DIGITAL ECOSYSTEMS.

As organizations strive to do more with less and forge ahead through rising
macroeconomic headwinds, automation will be critical in 2023. Greater automation
will enable organizations to free skilled resources to focus on tasks that
deliver the greatest value. As a result, teams can accelerate the pace of
digital transformation and innovation instead of cutting back.

However, the growing awareness of the potential for bias in artificial
intelligence will be a barrier to widespread automation in business operations,
IT, development, and security. Organizations can’t drive automated runbooks with
AI that confuses the symptoms of a problem with its root cause, that prioritizes
lower-risk issues over ones that have true business impact, or that implements
the wrong solutions.

Without trustworthy AI, human operators will continue to feel compelled to
manually validate any answers their AI-powered solutions provide. This will
negate efficiency gains and hinder efforts to automate business, development,
security, and operations processes. Therefore, trustworthiness will emerge as a
prerequisite for any AI solution through its ability to provide precise and
explainable answers instead of statistical guesses.

OBSERVABILITY TREND NO. 2: OBSERVABILITY, SECURITY, AND BUSINESS ANALYTICS WILL
CONVERGE AS ORGANIZATIONS STRIVE TO TAME THE DATA EXPLOSION.

The continued explosion of data coming from multicloud and cloud-native
environments, coupled with the increased complexity of technology stacks, will
lead organizations to seek new, more efficient ways to drive intelligent
automation in 2023. It’s not just the huge increase in payloads transmitted.
It’s also the exponential volumes of additional data, which can be harnessed to
gain better observability, enhanced security, and deeper business insights.

However, the prevalence of siloed monitoring tools that offer insights into a
single area of the technology stack or support an isolated use case has impeded
progress in accessing this value, making it difficult to retain the context of
data. It also results in departmental silos, as each team remains focused on its
piece of the puzzle, rather than combining data to reveal the bigger picture.

To address this, observability, security, and business analytics will converge
as organizations consolidate their tools. Teams will seek to move from myriad
isolated and hard-to-manage do-it-yourself tools to multi-use, AI-powered
analytics platforms that offer business, development, security, and operations
teams the insights and automation they need. This convergence will help to tame
clouds and the data explosion and drive intelligent automation across multiple
areas, from cloud modernization to regulatory compliance and cyber forensics.

OBSERVABILITY TREND NO. 3: DEVSECOPS MATURES INTO SECDEVBIZOPS AS
CYBER-INSURANCE DEMANDS THAT EVERY INNOVATOR IS RESPONSIBLE FOR MINIMIZING RISK.

Mitigating cyber-risk will become front-of-mind for everyone involved in
innovation, as growing maturity in the insurance industry makes it imperative to
treat security as a shared responsibility. Organizations taking out
cyber-insurance policies will be required to demonstrate that every innovator in
the business can conduct due diligence and manage the risk associated with their
actions.

There will be a growing focus on solutions that enable teams to mature their
DevOps and BizDevOps-centric strategies into a more holistic SecDevBizOps
approach, combining security, development, and IT practices with business
analytics. This will lead to increased investment in observability platforms
that support cross-departmental processes and ensure everyone has the answers
they need to be accountable for delivering secure innovation.

OBSERVABILITY TREND NO. 4: DATA CONTEXT-DRIVEN AUTOMATION WILL EMERGE AS A
PRIORITY FOR ORGANIZATIONS LOOKING TO MATURE BASIC AIOPS INTO MORE PRECISE
AISECOPS.

Organizations will increasingly realize, to be effective, the platforms they use
to automate software delivery pipelines and support AIOps need to be data
context-driven. That means they need the ability to unify data and its context
in a single source of truth, where it can be transformed into precise answers
and intelligent automation. This will be key to ensuring that the AI powering
automation can distinguish between cause and effect to make smarter and more
timely decisions.

Organizations have struggled to maintain this context as the growing complexity
of dynamic cloud architectures and increasingly distributed digital journeys
have generated an explosion of data and disparate analytics tools. In the coming
year, however, organizations will shift their focus from consolidating tools for
driving efficient AIOps to embracing platforms that support more advanced
AISecOps (AI for security and operations). This will enable teams to break down
the silos between observability, business, and security data and bring it
together with topology and dependency mapping. As a result, teams will be able
to retain the relationship between data streams and unlock the full context
needed to drive more powerful and precise automation and deliver seamless
digital experiences.

To learn more about the key observability trends for 2023, register for the
on-demand webinar “What’s next for cloud observability in 2023?”

Register now!


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Tags: Digital Transformation, IT trends 2023, observability, observability
trends 2023

Bernd Greifeneder



The Author

Bernd Greifeneder is a serial technology entrepreneur and chief innovator. He
has (co-)founded multiple successful startups in the application performance
management space and enabled optimum application performance for thousands of
customers. Besides flying a catamaran, he also acts as an advisor to startups,
speaks at entrepreneurial events and supports academic research in the
application performance space.

Disclaimer: The views expressed on this blog are my own and do not reflect the
views of Dynatrace LLC or its affiliates.
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