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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 We've identified a pivotal issue: the struggle to adapt outdated processes to the dynamic cloud environment.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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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...