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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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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...