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Gartner: Top Trends Impacting Infrastructure and Operations for 2022

Gartner highlighted 6 trends that infrastructure and operations (I&O) leaders must start preparing for in the next 12-18 months.

"I&O leaders need to drive change, not simply absorb it," said Jeffrey Hewitt, Research VP at Gartner. "They are expected to deliver more adaptable and resilient service from anywhere — and for an increasingly distributed workforce. This is pressuring I&O to take actions that will tie their decisions more closely to business requirements, a theme that runs through this year's trends."

Here are the top trends impacting I&O in 2022:

Trend 1: Just-In-Time Infrastructure

The speed at which infrastructure can be deployed is becoming just as important as putting the right infrastructure in the right place — colocation, data center, at the edge and more. This is the idea behind just-in-time infrastructure.

Borrowed from the term "just-in-time manufacturing," this trend aims to reduce infrastructure deployment times as well as fuel enterprise responsiveness to business needs and anywhere operations. Gartner expects it to be a differentiating factor when enterprises compare and negotiate with service providers moving forward.

Trend 2: Digital Natives

Digital-native companies are those that made public cloud and other digital capabilities part of their business model from the start, such as ride sharing applications or digital food delivery services. They combine different revenue approaches to monetize digital assets to gain new customers and boost market share and have only become more commonplace since the onset of the pandemic.

"There is an opportunity for traditional I&O organizations to leverage their digital-native counterparts that thrived during the pandemic to also produce highly agile, innovative and competitive offerings themselves, or join those that can," said Hewitt. "I&O leaders are faced with a "join or compete" dilemma."

By 2025, 70% of I&O leaders who ignore innovation will be marginalized to legacy system support only.

Trend 3: Management Confluence

This trend reflects the need for the growing number of management and monitoring tools — from IT service management (ITSM) to artificial intelligence operations (AIOps) and more — to be brought together in a single, comprehensive tool. Such integration is indispensable in the adoption of composable technologies, one of the three domains of business composability, which allows components of systems and data to combine more quickly and easily.

According to the 2022 Gartner CIO and Technology Executive Survey, 58% of high-composability enterprises build out integration capabilities for data, analytics and applications. These organizations reported better business performance compared with peers or competitors in the past year.

"I&O leaders can extend composability throughout the entire technology stack by inventorying their current management tool usage and identifying those that can be combined to form a more valuable, all-inclusive portfolio that improves I&O agility and drives optimal business results," said Hewitt.

Trend 4: Data Proliferation

Data will continue to multiply in variety, velocity and volume. As businesses continue to expand their data collection and holding efforts, I&O will be instrumental in guiding the policies surrounding processing, retention and legal requirements of the enterprise's data.

"I&O workforces need to work closely with their chief data officer to expand data literacy and effectively support data management across the enterprise," said Hewitt.

Trend 5: Business Acumen

I&O leaders are guiding their functions through a rapidly changing and distributed technology environment, which is threatened by the IT talent gap and requires new skills. According to a recent Gartner survey, 64% of I&O leaders point to insufficient skills and resources as one of their greatest challenges this past year.

"Technical skills' shelf life is shortening," said Hewitt. "As the I&O function is asked to provide more business justification for what they do, organizations are looking for I&O new hires to have business backgrounds rather than strictly technical degrees."

Gartner expects that by 2025, CIOs will fill 65% of open I&O leader positions with people that have no I&O experience.

Trend 6: Career Ladders to Career Lattices

Similar to the business acumen trend, I&O is moving away from single domain career paths driven by workloads and legacy technical skills. In fact, 29% of the skills in an average I&O job posting in 2018 will not be needed by 2022, according to Gartner Talent Neuron data.

Instead, I&O teams are moving laterally across a competency-based lattice that takes into account softer skills and emphasizes both learning agility and cross-domain expertise.

"While this certainly requires a mindset adjustment for some of the more tenured I&O workers, there will be much more opportunity within I&O teams as they move away from territorial thinking and toward fostering a collaborative environment," said Hewitt.

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Gartner: Top Trends Impacting Infrastructure and Operations for 2022

Gartner highlighted 6 trends that infrastructure and operations (I&O) leaders must start preparing for in the next 12-18 months.

"I&O leaders need to drive change, not simply absorb it," said Jeffrey Hewitt, Research VP at Gartner. "They are expected to deliver more adaptable and resilient service from anywhere — and for an increasingly distributed workforce. This is pressuring I&O to take actions that will tie their decisions more closely to business requirements, a theme that runs through this year's trends."

Here are the top trends impacting I&O in 2022:

Trend 1: Just-In-Time Infrastructure

The speed at which infrastructure can be deployed is becoming just as important as putting the right infrastructure in the right place — colocation, data center, at the edge and more. This is the idea behind just-in-time infrastructure.

Borrowed from the term "just-in-time manufacturing," this trend aims to reduce infrastructure deployment times as well as fuel enterprise responsiveness to business needs and anywhere operations. Gartner expects it to be a differentiating factor when enterprises compare and negotiate with service providers moving forward.

Trend 2: Digital Natives

Digital-native companies are those that made public cloud and other digital capabilities part of their business model from the start, such as ride sharing applications or digital food delivery services. They combine different revenue approaches to monetize digital assets to gain new customers and boost market share and have only become more commonplace since the onset of the pandemic.

"There is an opportunity for traditional I&O organizations to leverage their digital-native counterparts that thrived during the pandemic to also produce highly agile, innovative and competitive offerings themselves, or join those that can," said Hewitt. "I&O leaders are faced with a "join or compete" dilemma."

By 2025, 70% of I&O leaders who ignore innovation will be marginalized to legacy system support only.

Trend 3: Management Confluence

This trend reflects the need for the growing number of management and monitoring tools — from IT service management (ITSM) to artificial intelligence operations (AIOps) and more — to be brought together in a single, comprehensive tool. Such integration is indispensable in the adoption of composable technologies, one of the three domains of business composability, which allows components of systems and data to combine more quickly and easily.

According to the 2022 Gartner CIO and Technology Executive Survey, 58% of high-composability enterprises build out integration capabilities for data, analytics and applications. These organizations reported better business performance compared with peers or competitors in the past year.

"I&O leaders can extend composability throughout the entire technology stack by inventorying their current management tool usage and identifying those that can be combined to form a more valuable, all-inclusive portfolio that improves I&O agility and drives optimal business results," said Hewitt.

Trend 4: Data Proliferation

Data will continue to multiply in variety, velocity and volume. As businesses continue to expand their data collection and holding efforts, I&O will be instrumental in guiding the policies surrounding processing, retention and legal requirements of the enterprise's data.

"I&O workforces need to work closely with their chief data officer to expand data literacy and effectively support data management across the enterprise," said Hewitt.

Trend 5: Business Acumen

I&O leaders are guiding their functions through a rapidly changing and distributed technology environment, which is threatened by the IT talent gap and requires new skills. According to a recent Gartner survey, 64% of I&O leaders point to insufficient skills and resources as one of their greatest challenges this past year.

"Technical skills' shelf life is shortening," said Hewitt. "As the I&O function is asked to provide more business justification for what they do, organizations are looking for I&O new hires to have business backgrounds rather than strictly technical degrees."

Gartner expects that by 2025, CIOs will fill 65% of open I&O leader positions with people that have no I&O experience.

Trend 6: Career Ladders to Career Lattices

Similar to the business acumen trend, I&O is moving away from single domain career paths driven by workloads and legacy technical skills. In fact, 29% of the skills in an average I&O job posting in 2018 will not be needed by 2022, according to Gartner Talent Neuron data.

Instead, I&O teams are moving laterally across a competency-based lattice that takes into account softer skills and emphasizes both learning agility and cross-domain expertise.

"While this certainly requires a mindset adjustment for some of the more tenured I&O workers, there will be much more opportunity within I&O teams as they move away from territorial thinking and toward fostering a collaborative environment," said Hewitt.

Hot Topics

The Latest

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...