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IT Managers in the UAE Say: Lack of Unified Observability Restricts Ability to Meet Business Requirements

More than Half of UAE Survey Respondents Believe that Unified Observability Would Enhance their Ability to Provide Flawless Digital Experiences
Mike Marks
Riverbed

A unified view of digital infrastructure is essential for IT teams that must improve the digital user experience while boosting overall organizational productivity, according to a survey of IT managers in the United Arab Emirates (UAE), from Riverbed and market research firm IDC.

The UAE and other countries in the region have clear ambitions to significantly grow their digital economies in the next decade. However, the challenge of an increasingly strained IT talent pool is preventing them from providing the flawless digital experiences that underpin this important vision. The survey found that UAE IT teams need unified observability technology to give them the insight and visibility needed to boost customer experience and employee productivity as well as hasten digital transformation. This is especially important given that the survey revealed that 44% of UAE respondents agree that their organizations struggle to hire and retain highly skilled IT staff.

The survey further revealed that UAE IT teams are finding it difficult to effectively manage distributed digital infrastructures and deliver digital experiences that meet increasingly high customer expectations.

Other key findings include:

■ 93% of respondents currently use observability tools yet 55% of them believe those tools are too narrowly focused and fail to provide a complete and unified view of their organization’s operating conditions.

■ 53% said the lack of unified observability restricts the IT organization's ability to meet business requirements, and 52% said it makes their job and the job of their staff/peers more difficult.

■ 61% of respondents believe that their most well-trained IT staff spend too much time on tactical responsibilities, and 57% of respondents agree their organization needs to find ways to enable lower-skilled IT staff to find and fix issues.

■ 60% of organizations use six or more discrete tools for IT monitoring and measurement, and 59% said the tool limitations hold back productivity and collaboration.

■ 56% of organizations have difficulty analyzing correlations and 45% struggle to derive actionable insights.

As observability becomes the responsibility of C-level technology executives (CIOs, CTOs, CDOs, etc.), companies in the UAE are also investing more dollars in observability solutions. In the survey, 86% of UAE respondents said their observability budgets will rise in the next two years, and 41% said their budget will increase more than 25%.

UAE tech workers that must overcome increasingly complex IT environments and sprawling data as well as deliver more seamless and secure digital experiences to users everywhere are demanding new technologies that will help accelerate their performance and "do more with less" resources. In fact, many are gravitating to cloud-native, SaaS-delivered services that help them better address these challenges, such as resource constraints and data silos through AI and machine learning.

Methodology: IDC surveyed more than 1,400 IT professionals from across 10 countries on the current and future state of observability. The survey respondents came from seven industries (financial, manufacturing, healthcare, energy, technology, government, and professional services). Over 75% of respondents represented large enterprises (1000+ employees) and 70% held Director or above positions within their respective IT organizations. All had managerial responsibility for observability and/or IT performance management functions, use, staff, and budgets.

Mike Marks is VP of Product Marketing at Riverbed

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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IT Managers in the UAE Say: Lack of Unified Observability Restricts Ability to Meet Business Requirements

More than Half of UAE Survey Respondents Believe that Unified Observability Would Enhance their Ability to Provide Flawless Digital Experiences
Mike Marks
Riverbed

A unified view of digital infrastructure is essential for IT teams that must improve the digital user experience while boosting overall organizational productivity, according to a survey of IT managers in the United Arab Emirates (UAE), from Riverbed and market research firm IDC.

The UAE and other countries in the region have clear ambitions to significantly grow their digital economies in the next decade. However, the challenge of an increasingly strained IT talent pool is preventing them from providing the flawless digital experiences that underpin this important vision. The survey found that UAE IT teams need unified observability technology to give them the insight and visibility needed to boost customer experience and employee productivity as well as hasten digital transformation. This is especially important given that the survey revealed that 44% of UAE respondents agree that their organizations struggle to hire and retain highly skilled IT staff.

The survey further revealed that UAE IT teams are finding it difficult to effectively manage distributed digital infrastructures and deliver digital experiences that meet increasingly high customer expectations.

Other key findings include:

■ 93% of respondents currently use observability tools yet 55% of them believe those tools are too narrowly focused and fail to provide a complete and unified view of their organization’s operating conditions.

■ 53% said the lack of unified observability restricts the IT organization's ability to meet business requirements, and 52% said it makes their job and the job of their staff/peers more difficult.

■ 61% of respondents believe that their most well-trained IT staff spend too much time on tactical responsibilities, and 57% of respondents agree their organization needs to find ways to enable lower-skilled IT staff to find and fix issues.

■ 60% of organizations use six or more discrete tools for IT monitoring and measurement, and 59% said the tool limitations hold back productivity and collaboration.

■ 56% of organizations have difficulty analyzing correlations and 45% struggle to derive actionable insights.

As observability becomes the responsibility of C-level technology executives (CIOs, CTOs, CDOs, etc.), companies in the UAE are also investing more dollars in observability solutions. In the survey, 86% of UAE respondents said their observability budgets will rise in the next two years, and 41% said their budget will increase more than 25%.

UAE tech workers that must overcome increasingly complex IT environments and sprawling data as well as deliver more seamless and secure digital experiences to users everywhere are demanding new technologies that will help accelerate their performance and "do more with less" resources. In fact, many are gravitating to cloud-native, SaaS-delivered services that help them better address these challenges, such as resource constraints and data silos through AI and machine learning.

Methodology: IDC surveyed more than 1,400 IT professionals from across 10 countries on the current and future state of observability. The survey respondents came from seven industries (financial, manufacturing, healthcare, energy, technology, government, and professional services). Over 75% of respondents represented large enterprises (1000+ employees) and 70% held Director or above positions within their respective IT organizations. All had managerial responsibility for observability and/or IT performance management functions, use, staff, and budgets.

Mike Marks is VP of Product Marketing at Riverbed

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.