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

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The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

Instrumentation Score: Quantifying Telemetry Quality

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

Automating While Keeping Humans in the Loop

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

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Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

Effective FinOps: Moving from Recommendations to Risks

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Rising IT Complexity Threatens Modernization - Survey Shows SysAdmins Under Pressure

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