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Gartner: Top Trends Impacting Infrastructure and Operations for 2021

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

"The coronavirus pandemic has forced IT executives to adapt their operations to address increased work-from-home scenarios and unpredictable changes to IT requirements," said Jeffrey Hewitt, Research VP at Gartner. "Yet, COVID-19 isn't the only impetus for the majority of I&O staff to work from home moving forward. The nature of infrastructure is evolving to the point where remote I&O teams make sense to support new scenarios, use cases and technologies."

Hewitt identified the top emerging trends that are impacting I&O and provided recommendations to best respond to them to achieve optimal results in a post-pandemic environment:

Trend No. 1: Anywhere Operations

Gartner expects that 48% of employees will work from home, even after the pandemic, compared with 30% pre-pandemic. This shift will force IT executives to develop flexible and resilient organizations that enable staff to work from anywhere, allow customers everywhere to access services, and manage the deployment of business services across distributed infrastructures.

"The traditional, structured processes within I&O made organizations fragile when it comes to the flexibility of location," said Hewitt. "Anywhere operations enable organizations to decentralize staff and activate operations where it makes business sense. It even makes way for broader talent choices as organizations do not need to necessarily recruit staff in a specific geography."

Trend No. 2: Optimal Infrastructure

"The key for anywhere operations is developing programmable infrastructure that enables the right work in the right place at the right time – this is the crux of optimal infrastructure," said Hewitt. "As infrastructure and operations evolves into integration and operations, various solutions such as hyperconverged infrastructure or computational storage must be matched with the optimal use case."

Optimal infrastructure will also involve data center and edge infrastructure, which can be difficult to measure and lead to complex deployments. Hewitt recommended organizations take a business viewpoint and look at both optimizing costs and tools to build their case for a given infrastructure deployment.

Trend No. 3: Operational Continuity

Increasingly, workloads will need to support geographically dispersed customers and employees. As a result, IT services must be continuous, regardless of external factors, providing automated deployments and minimal-touch maintenance. By 2025, 60% of organizations will use automation tools to deploy new compute resources, reduce deployment time and deliver greater agility.

"When done correctly, this trend increases efficiencies and allows for faster workload deployment. The main downside is the learning curve that comes with using new and sometimes complex tools or processes that support continuity," said Hewitt.

Trend No. 4: Core Modernization

In order to ensure enterprise infrastructure evolves in lockstep, maintaining core operations should be viewed as an ongoing process, not a one-time project. Enterprises will need to coordinate infrastructures on- and off-premises that minimize legacy drag.

"The upside of modernizing infrastructure is that it lowers technical debt and paves the way for agile infrastructure to respond to the growing list of digital business requirements," said Hewitt. "Enterprises must implement a modernization plan with a realistic timeline, one which accounts for shifting skill requirements."

Trend No. 5: Distributed Cloud

Another major trend is distributing cloud resources so that the cloud becomes decentralized and the burden of support shifts to cloud service providers. This approach will enable flexible location and result in latency reduction.

"Since the distributed cloud market is currently immature, costs can be high and deployment models complex. Organizations should still have it on their horizon as a part of the future of cloud computing, since most cloud service platforms will provide at least some distributed cloud services that execute at the point of need over the next four years," said Hewitt.

Trend No. 6: Critical Skills Versus Critical Roles

"I&O skills requirements will continue to evolve as organizations adapt to new business environments," said Hewitt. "Specifically, there is a shift in focus from infrastructure roles toward collective, critical skills. This challenges the traditional ‘territorial' thinking of belonging to a specific infrastructure team and instead encourages collaboration."

By 2022, I&O leaders can expect to plan for at least 12 high-priority skills in their organizations. While hiring for these skills now while the IT talent market remains a buyer's market is recommended, Gartner said I&O leaders should consider the fundamental culture changes this trend will bring and to plan accordingly.

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Gartner: Top Trends Impacting Infrastructure and Operations for 2021

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

"The coronavirus pandemic has forced IT executives to adapt their operations to address increased work-from-home scenarios and unpredictable changes to IT requirements," said Jeffrey Hewitt, Research VP at Gartner. "Yet, COVID-19 isn't the only impetus for the majority of I&O staff to work from home moving forward. The nature of infrastructure is evolving to the point where remote I&O teams make sense to support new scenarios, use cases and technologies."

Hewitt identified the top emerging trends that are impacting I&O and provided recommendations to best respond to them to achieve optimal results in a post-pandemic environment:

Trend No. 1: Anywhere Operations

Gartner expects that 48% of employees will work from home, even after the pandemic, compared with 30% pre-pandemic. This shift will force IT executives to develop flexible and resilient organizations that enable staff to work from anywhere, allow customers everywhere to access services, and manage the deployment of business services across distributed infrastructures.

"The traditional, structured processes within I&O made organizations fragile when it comes to the flexibility of location," said Hewitt. "Anywhere operations enable organizations to decentralize staff and activate operations where it makes business sense. It even makes way for broader talent choices as organizations do not need to necessarily recruit staff in a specific geography."

Trend No. 2: Optimal Infrastructure

"The key for anywhere operations is developing programmable infrastructure that enables the right work in the right place at the right time – this is the crux of optimal infrastructure," said Hewitt. "As infrastructure and operations evolves into integration and operations, various solutions such as hyperconverged infrastructure or computational storage must be matched with the optimal use case."

Optimal infrastructure will also involve data center and edge infrastructure, which can be difficult to measure and lead to complex deployments. Hewitt recommended organizations take a business viewpoint and look at both optimizing costs and tools to build their case for a given infrastructure deployment.

Trend No. 3: Operational Continuity

Increasingly, workloads will need to support geographically dispersed customers and employees. As a result, IT services must be continuous, regardless of external factors, providing automated deployments and minimal-touch maintenance. By 2025, 60% of organizations will use automation tools to deploy new compute resources, reduce deployment time and deliver greater agility.

"When done correctly, this trend increases efficiencies and allows for faster workload deployment. The main downside is the learning curve that comes with using new and sometimes complex tools or processes that support continuity," said Hewitt.

Trend No. 4: Core Modernization

In order to ensure enterprise infrastructure evolves in lockstep, maintaining core operations should be viewed as an ongoing process, not a one-time project. Enterprises will need to coordinate infrastructures on- and off-premises that minimize legacy drag.

"The upside of modernizing infrastructure is that it lowers technical debt and paves the way for agile infrastructure to respond to the growing list of digital business requirements," said Hewitt. "Enterprises must implement a modernization plan with a realistic timeline, one which accounts for shifting skill requirements."

Trend No. 5: Distributed Cloud

Another major trend is distributing cloud resources so that the cloud becomes decentralized and the burden of support shifts to cloud service providers. This approach will enable flexible location and result in latency reduction.

"Since the distributed cloud market is currently immature, costs can be high and deployment models complex. Organizations should still have it on their horizon as a part of the future of cloud computing, since most cloud service platforms will provide at least some distributed cloud services that execute at the point of need over the next four years," said Hewitt.

Trend No. 6: Critical Skills Versus Critical Roles

"I&O skills requirements will continue to evolve as organizations adapt to new business environments," said Hewitt. "Specifically, there is a shift in focus from infrastructure roles toward collective, critical skills. This challenges the traditional ‘territorial' thinking of belonging to a specific infrastructure team and instead encourages collaboration."

By 2022, I&O leaders can expect to plan for at least 12 high-priority skills in their organizations. While hiring for these skills now while the IT talent market remains a buyer's market is recommended, Gartner said I&O leaders should consider the fundamental culture changes this trend will bring and to plan accordingly.

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In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

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 ...