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4 Insights into Modern Cloud Inefficiency

Bill Buckley
CloudZero

For the last 18 years — through pandemic times, boom times, pullbacks, and more — little has been predictable except one thing: Worldwide cloud spending will be higher this year than last year and a lot higher next year. But as companies spend more, are they spending more intelligently? Just how efficient are our modern SaaS systems?

CloudZero's new report, How Cloud Efficient Are Software Companies In 2024?, found that most companies have limited (or nonexistent) cloud cost management (CCM) programs, which prevent them from making a substantial profit.

This is particularly concerning in the context of AI spending, which will only exacerbate cloud inefficiency. AI, which has gripped the SaaS world as firmly as it has the public imagination, is notoriously difficult to manage. Immature CCM programs will buckle under its complexity and fail to maximize the profitability of AI-driven applications.

The good news is that companies can take some simple steps to remediate these issues. Let's look at some of this survey's key findings and how companies can reverse the trend of inefficiency and maximize their cloud profitability.

Most Companies Don't Proactively Manage Their Cloud Costs

One of the survey's most troubling findings is that 61% of companies don't have a formalized CCM program. This is consistent with The State of FinOps 2024, a report by the FinOps Foundation, which showed that 62% of companies are in the least mature stage (the "Crawl" stage) of FinOps. Formalized CCM spans numerous functions, from the most straightforward budgeting and forecasting to the most complex unit economics calculation, but most fundamental to CCM is cost allocation.

Cost allocation means assigning appropriate costs to individual customers, products, features, teams, microservices, etc. Complete cost allocation shows companies precisely what's driving their spending — and, by extension, where they're most (and least) efficient. The report found that just 9% of companies have complete or near-complete cost allocation.

If you don't know what's driving your spending, it's impossible to drive meaningful efficiencies. Upon instituting a formalized CCM program, companies reduce their cloud costs by 30% in the first year. Low allocation and infrequency of formalized CCM programs would suggest that companies are leaving profit on the table — and the next key finding confirms it.

COGS Inefficiency: Companies Are Leaving Profit on the Table

Roughly three-quarters of survey respondents said their cloud expenses account for at least 20% of their cost of goods sold (COGS), and more than a quarter (28%) said cloud costs account for more than half of their COGS. Since COGS is a key factor in gross margin (i.e., profitability) calculations, and companies that institute CCM programs tend to reduce their cloud costs by 30%, companies are leaving a lot of profit on the table.

A company with $100 million in revenue and $25 million in COGS would have a gross profit of 75% — good, in SaaS terms, but not elite. Now, imagine that their cloud costs represent 50% of their COGS — $12.5 million. A 30% reduction would lower their cloud costs to $8.75 million and their overall COGS to $21.25 million. Their gross profit would grow to 78.75% — near-elite.

Organizations Aren't Using the Most Powerful CCM Methods

An absence of strong CCM also means companies tend not to use its most powerful approaches — namely, software code optimization. While about half of companies take advantage of simple CCM methods — enterprise discounts, bulk purchasing discounts — just 28% of companies practice software code optimization. Software code optimization entails ad-hoc code fixes that make the software run more efficiently and at the highest scale levels, saving companies millions of dollars.

Software code optimization requires well-allocated, real-time, highly granular cost data and systems to notify the correct engineers when costs spike. Given that just 31% of companies have formal CCM programs, it's not surprising that roughly the same portion uses software code optimization.

Elite Cloud Efficiency Rate (CER): 92%+

Cloud Efficiency Rate (CER) is a universal benchmark for cloud cost efficiency. It compares your revenue to your cloud spend and shows you how much of every revenue dollar you keep versus how much you send to cloud providers. A company with an 80% CER sends $0.20 of every revenue dollar to its cloud providers; a company with a 90% CER sends $0.10 of every dollar to its cloud providers. The report shows that the top-quartile CER is 92%, meaning the most cloud-efficient SaaS companies send just $0.08 of every revenue dollar to their cloud providers.

CERs also tend to worsen as companies scale and add engineers. Angel/bootstrapped companies reported the highest median CER (92%), with every other category reporting significantly worse median CERs (80% across public, debt/private equity, and venture capital). Companies with 11–25 engineers have the highest median CER (87%), with 51–100 (75%) and 100+ (80%) representing significant CER declines.

Increase Your Profitability with CCM

Organizations that want to grow, maintain a high pace of innovation, and increase their cloud efficiency need to compare their CER to industry benchmarks, at minimum. To drive elite CER, they will need sophisticated CCM programs. This involves engagement from the engineering function, precise budgeting, complete allocation, and clear unit economics.

Technical teams buy cloud resources and manage their costs, so they're positioned to have the most positive impact on cloud efficiency. Providing technical teams with relevant, real-time cloud cost data will empower them to make better infrastructure and code decisions. This will make innovations more durable and result in a healthier bottom line for the business.

Methodology: CloudZero, in partnership with Benchmarkit, a B2B SaaS research firm, conducted the report. More than 700 cloud operations and finance professionals at SaaS companies throughout North America were surveyed on all things cloud spending.

Bill Buckley is SVP of Engineering at CloudZero

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4 Insights into Modern Cloud Inefficiency

Bill Buckley
CloudZero

For the last 18 years — through pandemic times, boom times, pullbacks, and more — little has been predictable except one thing: Worldwide cloud spending will be higher this year than last year and a lot higher next year. But as companies spend more, are they spending more intelligently? Just how efficient are our modern SaaS systems?

CloudZero's new report, How Cloud Efficient Are Software Companies In 2024?, found that most companies have limited (or nonexistent) cloud cost management (CCM) programs, which prevent them from making a substantial profit.

This is particularly concerning in the context of AI spending, which will only exacerbate cloud inefficiency. AI, which has gripped the SaaS world as firmly as it has the public imagination, is notoriously difficult to manage. Immature CCM programs will buckle under its complexity and fail to maximize the profitability of AI-driven applications.

The good news is that companies can take some simple steps to remediate these issues. Let's look at some of this survey's key findings and how companies can reverse the trend of inefficiency and maximize their cloud profitability.

Most Companies Don't Proactively Manage Their Cloud Costs

One of the survey's most troubling findings is that 61% of companies don't have a formalized CCM program. This is consistent with The State of FinOps 2024, a report by the FinOps Foundation, which showed that 62% of companies are in the least mature stage (the "Crawl" stage) of FinOps. Formalized CCM spans numerous functions, from the most straightforward budgeting and forecasting to the most complex unit economics calculation, but most fundamental to CCM is cost allocation.

Cost allocation means assigning appropriate costs to individual customers, products, features, teams, microservices, etc. Complete cost allocation shows companies precisely what's driving their spending — and, by extension, where they're most (and least) efficient. The report found that just 9% of companies have complete or near-complete cost allocation.

If you don't know what's driving your spending, it's impossible to drive meaningful efficiencies. Upon instituting a formalized CCM program, companies reduce their cloud costs by 30% in the first year. Low allocation and infrequency of formalized CCM programs would suggest that companies are leaving profit on the table — and the next key finding confirms it.

COGS Inefficiency: Companies Are Leaving Profit on the Table

Roughly three-quarters of survey respondents said their cloud expenses account for at least 20% of their cost of goods sold (COGS), and more than a quarter (28%) said cloud costs account for more than half of their COGS. Since COGS is a key factor in gross margin (i.e., profitability) calculations, and companies that institute CCM programs tend to reduce their cloud costs by 30%, companies are leaving a lot of profit on the table.

A company with $100 million in revenue and $25 million in COGS would have a gross profit of 75% — good, in SaaS terms, but not elite. Now, imagine that their cloud costs represent 50% of their COGS — $12.5 million. A 30% reduction would lower their cloud costs to $8.75 million and their overall COGS to $21.25 million. Their gross profit would grow to 78.75% — near-elite.

Organizations Aren't Using the Most Powerful CCM Methods

An absence of strong CCM also means companies tend not to use its most powerful approaches — namely, software code optimization. While about half of companies take advantage of simple CCM methods — enterprise discounts, bulk purchasing discounts — just 28% of companies practice software code optimization. Software code optimization entails ad-hoc code fixes that make the software run more efficiently and at the highest scale levels, saving companies millions of dollars.

Software code optimization requires well-allocated, real-time, highly granular cost data and systems to notify the correct engineers when costs spike. Given that just 31% of companies have formal CCM programs, it's not surprising that roughly the same portion uses software code optimization.

Elite Cloud Efficiency Rate (CER): 92%+

Cloud Efficiency Rate (CER) is a universal benchmark for cloud cost efficiency. It compares your revenue to your cloud spend and shows you how much of every revenue dollar you keep versus how much you send to cloud providers. A company with an 80% CER sends $0.20 of every revenue dollar to its cloud providers; a company with a 90% CER sends $0.10 of every dollar to its cloud providers. The report shows that the top-quartile CER is 92%, meaning the most cloud-efficient SaaS companies send just $0.08 of every revenue dollar to their cloud providers.

CERs also tend to worsen as companies scale and add engineers. Angel/bootstrapped companies reported the highest median CER (92%), with every other category reporting significantly worse median CERs (80% across public, debt/private equity, and venture capital). Companies with 11–25 engineers have the highest median CER (87%), with 51–100 (75%) and 100+ (80%) representing significant CER declines.

Increase Your Profitability with CCM

Organizations that want to grow, maintain a high pace of innovation, and increase their cloud efficiency need to compare their CER to industry benchmarks, at minimum. To drive elite CER, they will need sophisticated CCM programs. This involves engagement from the engineering function, precise budgeting, complete allocation, and clear unit economics.

Technical teams buy cloud resources and manage their costs, so they're positioned to have the most positive impact on cloud efficiency. Providing technical teams with relevant, real-time cloud cost data will empower them to make better infrastructure and code decisions. This will make innovations more durable and result in a healthier bottom line for the business.

Methodology: CloudZero, in partnership with Benchmarkit, a B2B SaaS research firm, conducted the report. More than 700 cloud operations and finance professionals at SaaS companies throughout North America were surveyed on all things cloud spending.

Bill Buckley is SVP of Engineering at CloudZero

Hot Topics

The Latest

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

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