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 We've identified a pivotal issue: the struggle to adapt outdated processes to the dynamic cloud environment.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

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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

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...