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IT Pros Say: Cloud Needs a Makeover

Josh Stella

It's not especially surprising that a new IT survey shows that cloud use for business and government poses challenges. All transformative technologies do. It's the extent of agreement — 96 percent say cloud needs a "makeover" — and nature of the challenges that's worth examining. In significant numbers across the board, respondents cited cloud complexity, compliance and security, cost control, speed of delivery, and domain expertise as the cloud problems their organizations were working to overcome this year.

The Three Cs and Beyond

Compliance, complexity, and cost were the obstacles to effective cloud management that garnered the three top trouble spots. The survey yielded specific complaints around each of those.

Compliance refers to businesses and government agencies or their contractors making certain that internal policies (usually structured around security and system reliability concerns) and regulatory demands (around NIST SP 800-53, HIPAA, ITAR, and other laws) are met. In the survey, almost 44 percent of respondents identified ensuring compliance and security as a top cloud challenge. 39 percent said security and compliance "is slowing us down."

And, when asked to prioritize the chief reason that cloud needs an overhaul, the second most popular response was "it needs to be easier to keep secure," with "it needs to be simplified and easier to use" coming in at number one.

Indeed, turning to ease of use, the nature of cloud's complexity problem was laid bare in several parts of the survey as well. Almost 42 percent said that "managing increasing cloud complexity" was a foremost concern. When asked why their company failed to get the most out of cloud, respondents emphasized that C-level executives (26.1 percent), IT leadership (35.8 percent), and developers (20.3 percent) "don't understand cloud complexity."

Contributing directly to the complexity conundrum are the number of tools and services organizations use and the nature of the problems that tooling can create. In order to make the cloud deliver on business expectations, more than half of the respondents cited high numbers of tools and services in use: 30.6 percent at 6 to 10, 15.8 percent at 11 to 15, and 6.8 percent at 15 or more. Another 38.4 percent use at least 3 to 5 tools and services to make cloud deliver. Tooling developed in house wasn't an answer to complexity either. A whopping 83 percent of respondents indicated that creating in-house solutions only leads to more problems.

The specific complaints are enlightening: in-house tooling requires specialists and time to maintain the tools; in-house tooling involves a lot of egos and, thus, a lot of politics; adopting newly available cloud services is made difficult with our in-house tooling; and, adopting new application architectures is made difficult with our in-house tooling.

The survey further revealed a direct relationship between complexity via tooling and the other top trouble spot, cost. Nearly 70 percent of respondents said they were spending almost as much or more on cloud tooling and services than on the cloud itself! Controlling costs overall was a chief problem that 47.7 percent of respondents were working to overcome this year, with some noting that not only does cloud need to be less expensive in general, but it needs to be easier to reduce costs. Nevertheless, compared with traditional data center operations, 57.7 percent agreed that the cloud had saved them money. A shadow on that strong figure is that another 25 percent were not achieving the savings they expected with the cloud.

In addition to compliance, complexity, and cost issues, almost 36 percent of respondents were concerned about meeting business agility demands — referring to the speed at which they could deliver their product to market with cloud utilized. Finally, a significant 26.5 percent worried about acquiring personnel with sufficient domain expertise in the cloud to make their organization efficient.

What's the Solution?

Undoubtedly, different practitioners will advocate different approaches to the cloud problems this survey and other surveys point out. But, if you can easily go fast, see everything, and keep a system right with one holistic approach, you can dramatically reduce the time spent and money wasted on complicated, multi-tooled operations and compliance regimes that don't take full advantage of cloud's innate character.

No matter the route chosen, businesses and government need an easy-to-understand solution, built for and with cloud, that requires only basic domain knowledge to operate, but that's powerful enough to manage scaled systems.

Survey Methodology: Just over half of the survey respondents identified as IT operations personnel. Others included developers, cloud architects, DevOps engineers, and executives. Organizationally, commercial enterprises, government agencies, small/mid-sized businesses, and startups were all represented. And, the survey covered all phases of cloud maturity in its field of respondents: 35.5 percent using a mix of cloud and on-premise data centers, 29 percent planning to adopt the cloud within the next year, 20.6 percent in the process of transitioning to the cloud, 14.8 percent fully in the cloud.

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IT Pros Say: Cloud Needs a Makeover

Josh Stella

It's not especially surprising that a new IT survey shows that cloud use for business and government poses challenges. All transformative technologies do. It's the extent of agreement — 96 percent say cloud needs a "makeover" — and nature of the challenges that's worth examining. In significant numbers across the board, respondents cited cloud complexity, compliance and security, cost control, speed of delivery, and domain expertise as the cloud problems their organizations were working to overcome this year.

The Three Cs and Beyond

Compliance, complexity, and cost were the obstacles to effective cloud management that garnered the three top trouble spots. The survey yielded specific complaints around each of those.

Compliance refers to businesses and government agencies or their contractors making certain that internal policies (usually structured around security and system reliability concerns) and regulatory demands (around NIST SP 800-53, HIPAA, ITAR, and other laws) are met. In the survey, almost 44 percent of respondents identified ensuring compliance and security as a top cloud challenge. 39 percent said security and compliance "is slowing us down."

And, when asked to prioritize the chief reason that cloud needs an overhaul, the second most popular response was "it needs to be easier to keep secure," with "it needs to be simplified and easier to use" coming in at number one.

Indeed, turning to ease of use, the nature of cloud's complexity problem was laid bare in several parts of the survey as well. Almost 42 percent said that "managing increasing cloud complexity" was a foremost concern. When asked why their company failed to get the most out of cloud, respondents emphasized that C-level executives (26.1 percent), IT leadership (35.8 percent), and developers (20.3 percent) "don't understand cloud complexity."

Contributing directly to the complexity conundrum are the number of tools and services organizations use and the nature of the problems that tooling can create. In order to make the cloud deliver on business expectations, more than half of the respondents cited high numbers of tools and services in use: 30.6 percent at 6 to 10, 15.8 percent at 11 to 15, and 6.8 percent at 15 or more. Another 38.4 percent use at least 3 to 5 tools and services to make cloud deliver. Tooling developed in house wasn't an answer to complexity either. A whopping 83 percent of respondents indicated that creating in-house solutions only leads to more problems.

The specific complaints are enlightening: in-house tooling requires specialists and time to maintain the tools; in-house tooling involves a lot of egos and, thus, a lot of politics; adopting newly available cloud services is made difficult with our in-house tooling; and, adopting new application architectures is made difficult with our in-house tooling.

The survey further revealed a direct relationship between complexity via tooling and the other top trouble spot, cost. Nearly 70 percent of respondents said they were spending almost as much or more on cloud tooling and services than on the cloud itself! Controlling costs overall was a chief problem that 47.7 percent of respondents were working to overcome this year, with some noting that not only does cloud need to be less expensive in general, but it needs to be easier to reduce costs. Nevertheless, compared with traditional data center operations, 57.7 percent agreed that the cloud had saved them money. A shadow on that strong figure is that another 25 percent were not achieving the savings they expected with the cloud.

In addition to compliance, complexity, and cost issues, almost 36 percent of respondents were concerned about meeting business agility demands — referring to the speed at which they could deliver their product to market with cloud utilized. Finally, a significant 26.5 percent worried about acquiring personnel with sufficient domain expertise in the cloud to make their organization efficient.

What's the Solution?

Undoubtedly, different practitioners will advocate different approaches to the cloud problems this survey and other surveys point out. But, if you can easily go fast, see everything, and keep a system right with one holistic approach, you can dramatically reduce the time spent and money wasted on complicated, multi-tooled operations and compliance regimes that don't take full advantage of cloud's innate character.

No matter the route chosen, businesses and government need an easy-to-understand solution, built for and with cloud, that requires only basic domain knowledge to operate, but that's powerful enough to manage scaled systems.

Survey Methodology: Just over half of the survey respondents identified as IT operations personnel. Others included developers, cloud architects, DevOps engineers, and executives. Organizationally, commercial enterprises, government agencies, small/mid-sized businesses, and startups were all represented. And, the survey covered all phases of cloud maturity in its field of respondents: 35.5 percent using a mix of cloud and on-premise data centers, 29 percent planning to adopt the cloud within the next year, 20.6 percent in the process of transitioning to the cloud, 14.8 percent fully in the cloud.

Hot Topics

The Latest

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 ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...