Skip to main content

3 of the Biggest Surprises Around the State of the Cloud

Brian Adler
Flexera

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape. This year's report is based on insights from more than 750 IT leaders and practitioners.

At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs, with 71% of respondents intending to prioritize cost optimization in 2024. We've identified a pivotal issue: the struggle to adapt outdated processes to the dynamic cloud environment. As organizations start using the cloud, it's clear they need to keep up with new technology. Automation is emerging as a linchpin for driving efficiency and maximizing returns on investment.

However, alongside the call for innovation, there's the perennial challenge of balancing budget limits with the need to innovate. With organizations already exceeding public cloud budgets by 15%, IT leaders find themselves navigating a delicate tightrope walk. They're trying to make the most of the cloud's potential, while also being careful with their budgets.

While these findings aren't entirely unexpected, they form the foundation of challenges that leaders are grappling with. Amidst our exploration of these aspects, we encountered several data points that are unexpectedly intriguing.

1. A Revelation in Reducing Cloud Cost Waste – and Who's Responsible

Perhaps one of the most encouraging revelations from this year's report is the gradual decline in wasted cloud spend, dropping to 27%, the lowest percentage recorded over the past 13 years of our State of the Cloud reports. While this is only a self-estimate of wasted spend, it appears that the industry is seeing the benefits of having FinOps (cloud cost optimization) practices to manage their cloud costs.

This downward trend is a big moment for the cloud world, showing how effective FinOps methods are at cutting financial waste. FinOps practices are maturing; today 51% of organizations report utilizing a FinOps team and 20% report they will have one by next year.


The FinOps Foundation has done a tremendous job of creating a structured framework for organizations to optimize cloud spending, align resources with strategic objectives, and spark collaboration across their various business units. And it now feels as though we are truly entering a new era of fiscal responsibility and operational excellence in the cloud.

2. Traction Finally Comes to Sustainability Initiatives

Amid the focus on saving money, another narrative is emerging: sustainability in action. We've cited sustainability as something that has been on the radar of organizations for years. Now, with nearly half of all respondents (48%) reporting initiatives including tracking the carbon footprint of cloud usage, it feels like we are finally gaining traction in an incredibly important area.

But where exactly does sustainability fall when it comes to cloud priorities?

When asked how sustainability compares to cost optimization, 59% prioritized cost optimization, though an additional 29% say that both cloud cost optimization and sustainability are equally prioritized.


Perhaps it's expected that companies prioritize optimizing cloud costs over other initiatives like sustainability. Without real financial consequences for neglecting sustainability efforts, it often takes a backseat to budget concerns. This is why Europe stands out in this regard, as their strict sustainability regulations, like the European Sustainability Reporting Standards, enforce penalties for non-compliance. This may be reflected in a greater percentage of European respondents reporting that their organizations have defined sustainability initiatives that include carbon footprint tracking of cloud use (56% of European respondents, compared to 48% overall). Regardless of region, it's encouraging to witness this growth in sustainability initiatives among organizations.

3. Generative AI and the Need to Stay Nimble

This is a really complex year for cloud adoption. Organizations are investing in the aforementioned sustainability initiatives, as well as security, and now a massive investment in generative AI, all while prioritizing cost management. They all seem to counter each other, don't they?

Innovation is expensive, so it's up to IT leaders to figure out how to balance costs with the desire to remain on the cutting edge. The integration of generative AI (GenAI) into various systems and processes is increasing cloud workloads, adding new complexities to cost management, and raising legitimate concerns regarding potential security vulnerabilities and risks. And all of these efforts can throw a wrench into the best-intentioned cost optimization efforts.

The numbers provide the best way to gain a comprehensive view of where the priorities of IT leaders reside:

■ More than a quarter of respondents (29%) spend over $12 million a year on cloud and nearly a quarter (22%) spend that much on SaaS.

■ There's a 21% increase year-over-year in organizations spending $1 million or more per month on cloud.

■ Managing cloud spend ranked 1st as the top cloud challenge (84%), with security following behind it (81%) as the biggest challenge among respondents.

■ A quarter of respondents are already using GenAI extensively, 38% are experimenting, and 22% use it sparingly; 47% are using GenAI cloud services in some form.

So, where's the surprise in this?

Perhaps the biggest lightbulb moment here that isn't being spoken about is how IT leaders will need to pivot very quickly when taking speculative bets on generative AI. While some GenAI initiatives will likely show promise and tangible returns, many won't make good business sense; this is where business leaders must hold themselves accountable. When dealing with emerging technologies, leaders are going to need strict, swift assessment processes and good data in place to measure ROI. This will hopefully prevent runaway spending and keep security in check.

Brian Adler is Senior Director of Cloud Market Strategy at Flexera

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 ...

3 of the Biggest Surprises Around the State of the Cloud

Brian Adler
Flexera

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape. This year's report is based on insights from more than 750 IT leaders and practitioners.

At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs, with 71% of respondents intending to prioritize cost optimization in 2024. We've identified a pivotal issue: the struggle to adapt outdated processes to the dynamic cloud environment. As organizations start using the cloud, it's clear they need to keep up with new technology. Automation is emerging as a linchpin for driving efficiency and maximizing returns on investment.

However, alongside the call for innovation, there's the perennial challenge of balancing budget limits with the need to innovate. With organizations already exceeding public cloud budgets by 15%, IT leaders find themselves navigating a delicate tightrope walk. They're trying to make the most of the cloud's potential, while also being careful with their budgets.

While these findings aren't entirely unexpected, they form the foundation of challenges that leaders are grappling with. Amidst our exploration of these aspects, we encountered several data points that are unexpectedly intriguing.

1. A Revelation in Reducing Cloud Cost Waste – and Who's Responsible

Perhaps one of the most encouraging revelations from this year's report is the gradual decline in wasted cloud spend, dropping to 27%, the lowest percentage recorded over the past 13 years of our State of the Cloud reports. While this is only a self-estimate of wasted spend, it appears that the industry is seeing the benefits of having FinOps (cloud cost optimization) practices to manage their cloud costs.

This downward trend is a big moment for the cloud world, showing how effective FinOps methods are at cutting financial waste. FinOps practices are maturing; today 51% of organizations report utilizing a FinOps team and 20% report they will have one by next year.


The FinOps Foundation has done a tremendous job of creating a structured framework for organizations to optimize cloud spending, align resources with strategic objectives, and spark collaboration across their various business units. And it now feels as though we are truly entering a new era of fiscal responsibility and operational excellence in the cloud.

2. Traction Finally Comes to Sustainability Initiatives

Amid the focus on saving money, another narrative is emerging: sustainability in action. We've cited sustainability as something that has been on the radar of organizations for years. Now, with nearly half of all respondents (48%) reporting initiatives including tracking the carbon footprint of cloud usage, it feels like we are finally gaining traction in an incredibly important area.

But where exactly does sustainability fall when it comes to cloud priorities?

When asked how sustainability compares to cost optimization, 59% prioritized cost optimization, though an additional 29% say that both cloud cost optimization and sustainability are equally prioritized.


Perhaps it's expected that companies prioritize optimizing cloud costs over other initiatives like sustainability. Without real financial consequences for neglecting sustainability efforts, it often takes a backseat to budget concerns. This is why Europe stands out in this regard, as their strict sustainability regulations, like the European Sustainability Reporting Standards, enforce penalties for non-compliance. This may be reflected in a greater percentage of European respondents reporting that their organizations have defined sustainability initiatives that include carbon footprint tracking of cloud use (56% of European respondents, compared to 48% overall). Regardless of region, it's encouraging to witness this growth in sustainability initiatives among organizations.

3. Generative AI and the Need to Stay Nimble

This is a really complex year for cloud adoption. Organizations are investing in the aforementioned sustainability initiatives, as well as security, and now a massive investment in generative AI, all while prioritizing cost management. They all seem to counter each other, don't they?

Innovation is expensive, so it's up to IT leaders to figure out how to balance costs with the desire to remain on the cutting edge. The integration of generative AI (GenAI) into various systems and processes is increasing cloud workloads, adding new complexities to cost management, and raising legitimate concerns regarding potential security vulnerabilities and risks. And all of these efforts can throw a wrench into the best-intentioned cost optimization efforts.

The numbers provide the best way to gain a comprehensive view of where the priorities of IT leaders reside:

■ More than a quarter of respondents (29%) spend over $12 million a year on cloud and nearly a quarter (22%) spend that much on SaaS.

■ There's a 21% increase year-over-year in organizations spending $1 million or more per month on cloud.

■ Managing cloud spend ranked 1st as the top cloud challenge (84%), with security following behind it (81%) as the biggest challenge among respondents.

■ A quarter of respondents are already using GenAI extensively, 38% are experimenting, and 22% use it sparingly; 47% are using GenAI cloud services in some form.

So, where's the surprise in this?

Perhaps the biggest lightbulb moment here that isn't being spoken about is how IT leaders will need to pivot very quickly when taking speculative bets on generative AI. While some GenAI initiatives will likely show promise and tangible returns, many won't make good business sense; this is where business leaders must hold themselves accountable. When dealing with emerging technologies, leaders are going to need strict, swift assessment processes and good data in place to measure ROI. This will hopefully prevent runaway spending and keep security in check.

Brian Adler is Senior Director of Cloud Market Strategy at Flexera

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 ...