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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

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Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

Getting applications into the hands of those who need them quickly and securely has long been the goal of a branch of IT often referred to as End User Computing (EUC). Over recent years, the way applications (and data) have been delivered to these "users" has changed noticeably. Organizations have many more choices available to them now, and there will be more to come ... But how did we get here? Where are we going? Is this all too complicated? ...

On November 18, a single database permission change inside Cloudflare set off a chain of failures that rippled across the Internet. Traffic stalled. Authentication broke. Workers KV returned waves of 5xx errors as systems fell in and out of sync. For nearly three hours, one of the most resilient networks on the planet struggled under the weight of a change no one expected to matter ... Cloudflare recovered quickly, but the deeper lesson reaches far beyond this incident ...

Chris Steffen and Ken Buckler from EMA discuss the Cloudflare outage and what availability means in the technology space ...

Every modern industry is confronting the same challenge: human reaction time is no longer fast enough for real-time decision environments. Across sectors, from financial services to manufacturing to cybersecurity and beyond, the stakes mirror those of autonomous vehicles — systems operating in complex, high-risk environments where milliseconds matter ...