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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 We've identified a pivotal issue: the struggle to adapt outdated processes to the dynamic cloud environment.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

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

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

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...