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The High Cost of Low Cloud Cost Visibility

Bill Buckley
CloudZero

Cloud spending continues to soar. Globally, cloud users spent a mind-boggling $563.6 billion last year on public cloud services, and there's no sign of a slowdown. In fact, Gartner predicts that spending will soar to $678.8 billion this year.

This skyrocketing spending growth underscores the importance of cloud cost optimization. If done properly, organizations can transform cost data into actionable business insights and coordinates to maximize the ROI of their cloud investments.

CloudZero's State of Cloud Cost Report 2024 found that organizations are still struggling to gain control over their cloud costs and that a lack of visibility is having a significant impact. Among the key findings of the report:

Cloud costs are out of control. Most organizations say they don't have control over their cloud costs. The number of companies reporting that their costs are "way too high" rose in comparison to a similar survey conducted in 2022.

Companies lose productivity due to low visibility. Almost 90% of participants indicated that a lack of cloud cost visibility keeps them from performing their job well. That is an increased level of lost productivity compared to the previous survey.

Cloud cost: Not just for executives. In 2024, the whole leadership hierarchy is interested in cloud costs. It's no longer merely a C-suite issue but has become a company-wide focus of attention.

With engineering ownership comes cost control. The survey data indicates that when the engineering function owns cloud cost management, the result is better business outcomes, such as higher confidence in reporting accuracy. 81% of survey participants noted that when engineering has some level of ownership, their cloud costs are "about where they should be."

Engineering ownership also increases finance-engineering alignment. When engineers take part in cloud cost management, their priorities are essentially indistinguishable from those of the finance team.

The Cost of Low Visibility

It's concerning that less than 50% of organizations said their cloud costs are healthy; in fact, 58% of respondents said their costs are too high. What's more worrisome is the survey data revealing a rise in the number of organizations reporting that their costs are "way too high" — a shift from 11% in 2022 to 14% this year. Though that's not a massive increase, it does reveal an ongoing lack of control with respect to cloud costs.

When asked how effectively survey participants can allocate cloud spend to the various parts of their business, 42% responded that they can only estimate those costs. More surprising still, more than 20% of participants have little to no idea how much those various parts cost. Two-thirds of organizations can't accurately measure unit costs.

Adding insult to injury, two-thirds of organizations noted that looking into rising cloud costs interferes with both finance and engineering workflows. The survey data shows this has a greater effect on companies than in years past.

As for the engineers themselves, 66% noted that their work is disrupted to some degree by a lack of visibility into cloud costs. And 22% of those reported high levels of disruption, double the figure (11%) in 2022.

The Secret Is Engineering Engagement

High-functioning engineering teams want their work to be connected to business and user outcomes. The fact that many of them can't attribute cloud costs to business units reveals a serious problem in cloud software engineering.

Every engineering decision is a buying decision

Cloud cost optimization starts with engineers. Every engineering decision is a buying decision; whenever an engineer spins up a new cloud resource, they incur a new cost. When engineers have thorough visibility into their cloud costs, their purchasing decisions are based on reality, not guesswork — and the survey results validate this idea. Greater visibility yields greater engineering engagement, leading to better business outcomes like cost savings, maximized profits, and increased accountability.

Methodology: This report is based on a survey conducted by CloudZero of 1,000 US engineering and finance workers (50/50 split) in firms with 100 to 9,999 employees and with at least $500,000 annual total cloud spend who use either Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure as their primary cloud service provider. The survey was carried out in January 2024.

Bill Buckley is SVP of Engineering at CloudZero

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The High Cost of Low Cloud Cost Visibility

Bill Buckley
CloudZero

Cloud spending continues to soar. Globally, cloud users spent a mind-boggling $563.6 billion last year on public cloud services, and there's no sign of a slowdown. In fact, Gartner predicts that spending will soar to $678.8 billion this year.

This skyrocketing spending growth underscores the importance of cloud cost optimization. If done properly, organizations can transform cost data into actionable business insights and coordinates to maximize the ROI of their cloud investments.

CloudZero's State of Cloud Cost Report 2024 found that organizations are still struggling to gain control over their cloud costs and that a lack of visibility is having a significant impact. Among the key findings of the report:

Cloud costs are out of control. Most organizations say they don't have control over their cloud costs. The number of companies reporting that their costs are "way too high" rose in comparison to a similar survey conducted in 2022.

Companies lose productivity due to low visibility. Almost 90% of participants indicated that a lack of cloud cost visibility keeps them from performing their job well. That is an increased level of lost productivity compared to the previous survey.

Cloud cost: Not just for executives. In 2024, the whole leadership hierarchy is interested in cloud costs. It's no longer merely a C-suite issue but has become a company-wide focus of attention.

With engineering ownership comes cost control. The survey data indicates that when the engineering function owns cloud cost management, the result is better business outcomes, such as higher confidence in reporting accuracy. 81% of survey participants noted that when engineering has some level of ownership, their cloud costs are "about where they should be."

Engineering ownership also increases finance-engineering alignment. When engineers take part in cloud cost management, their priorities are essentially indistinguishable from those of the finance team.

The Cost of Low Visibility

It's concerning that less than 50% of organizations said their cloud costs are healthy; in fact, 58% of respondents said their costs are too high. What's more worrisome is the survey data revealing a rise in the number of organizations reporting that their costs are "way too high" — a shift from 11% in 2022 to 14% this year. Though that's not a massive increase, it does reveal an ongoing lack of control with respect to cloud costs.

When asked how effectively survey participants can allocate cloud spend to the various parts of their business, 42% responded that they can only estimate those costs. More surprising still, more than 20% of participants have little to no idea how much those various parts cost. Two-thirds of organizations can't accurately measure unit costs.

Adding insult to injury, two-thirds of organizations noted that looking into rising cloud costs interferes with both finance and engineering workflows. The survey data shows this has a greater effect on companies than in years past.

As for the engineers themselves, 66% noted that their work is disrupted to some degree by a lack of visibility into cloud costs. And 22% of those reported high levels of disruption, double the figure (11%) in 2022.

The Secret Is Engineering Engagement

High-functioning engineering teams want their work to be connected to business and user outcomes. The fact that many of them can't attribute cloud costs to business units reveals a serious problem in cloud software engineering.

Every engineering decision is a buying decision

Cloud cost optimization starts with engineers. Every engineering decision is a buying decision; whenever an engineer spins up a new cloud resource, they incur a new cost. When engineers have thorough visibility into their cloud costs, their purchasing decisions are based on reality, not guesswork — and the survey results validate this idea. Greater visibility yields greater engineering engagement, leading to better business outcomes like cost savings, maximized profits, and increased accountability.

Methodology: This report is based on a survey conducted by CloudZero of 1,000 US engineering and finance workers (50/50 split) in firms with 100 to 9,999 employees and with at least $500,000 annual total cloud spend who use either Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure as their primary cloud service provider. The survey was carried out in January 2024.

Bill Buckley is SVP of Engineering at CloudZero

Hot Topics

The Latest

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 ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

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 ...