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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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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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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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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 ...