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Stretching Cloud Investments for Optimal Results

Grant Duxbury
Aptum

Cloud computing continues to soar, with little signs of slowing down. Gartner predicts a 5.5% global increase in digital technology spending in 2023, with a significant percentage of it going to cloud initiatives. But, as with any new program, companies are seeing substantial benefits in the cloud but are also navigating budgetary challenges.

With an estimated 94% of companies using cloud services today, priorities for IT teams have shifted from purely adoption-based to deploying new strategies. As they explore new territories, it can be a struggle to exploit the full value of their spend and the cloud's transformative capabilities.

Realizing the Benefits of the Cloud

The significant benefits experienced by cloud adoption make the costly investment worthwhile over time. Some of the most notable advantages include increased efficiencies, reliability and scalability. Part two of Aptum's Cloud Impact Study, titled Maximizing Value: Controlling Costs and Optimizing Cloud Spend surveyed 400 senior IT professionals in the US, UK and Canada. The study revealed that 95% of respondents stated the cloud is an important way to deliver better business continuity, 93% said it helps their organization improve security and better manage data, and 94% agreed that cloud has delivered expected efficiency gains in 2023.

For many organizations, the return on their cloud transformation results from the flexibility it offers compared to costly legacy systems. Companies can scale up or down based on their unique needs at any time, eliminating unnecessary spending on excess capacity.

Controlling Costs

Cloud investments are a substantial part of a company's budget, with 71% of IT professionals reporting that cloud-related costs account for 30% or more of their total IT spend, and 34% said it accounts for the majority of their tech budgets.

While the cloud provides many operational benefits to organizations, there is still work to be done economically — 73% of survey respondents said their cloud investments have led to higher-than-expected IT costs in the past 12 months, a 28% increase from 2021. Additionally, 52% of IT professionals stated their organizations have wasted significantly on inefficiencies with their cloud platforms and services.

Understandably, many organizations jumped head-first into the cloud during the pandemic and are now realizing the implications of the lack of a Cloud Adoption Framework. While many factors can play into increased costs, the most common are the lack of strategic plan and skills readiness to manage cloud usage effectively and efficiently. These shortcomings are exacerbated for organizations using a hybrid or multi-cloud approach with a mix of on-prem and public cloud services for different data needs and workloads.

Today, most IT professionals believe their organization lacks the right skills and expertise to plan complex and multi-cloud implementations, with 62% agreeing that a lack of internal expertise has prevented them from accelerating cloud implementations. This is imperative for controlling runaway costs and inefficiencies. Companies must have resources with the necessary skills and knowledge to make more informed decisions.

The Power of FinOps

In addition to investing in the right talent and more informed strategies, companies can address cloud costs by adopting FinOps. A collaborative culture approach between diverse teams, FinOps helps organizations gain real visibility into their cloud costs to make more informed decisions. FinOps brings together teams such as engineers, finance and product to create a central, cross-functioning "Center of Excellence" that is dedicated to offering best practices to stakeholders by aiding them in optimizing the company's cloud expenditures.

According to McKinsey, adopting FinOps in a complex cloud environment can reduce costs by as much as 30%. Controlling costs was the top challenge reported in the study, with 37% of IT professionals stating that a key driver of their cloud strategy and investment is gaining more flexibility and scalability in the amount of capacity available.

FinOps is a viable way to address IT professionals' challenges by bringing control and flexibility to achieve more cost-effective cloud consumption.

As the study found, the benefits of cloud computing are irrefutable given its potential for scalability, agility and cost savings. However, in order to reap its true benefits, companies must have a clear strategy in place, including the use of FinOps to ensure it is operating efficiently. Without this level of structure and planning, businesses will continue to experience unexpected costs, security breaches and operational inefficiencies.

Grant Duxbury is Global Director, Advisory & Consulting Services, at Aptum

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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.

Stretching Cloud Investments for Optimal Results

Grant Duxbury
Aptum

Cloud computing continues to soar, with little signs of slowing down. Gartner predicts a 5.5% global increase in digital technology spending in 2023, with a significant percentage of it going to cloud initiatives. But, as with any new program, companies are seeing substantial benefits in the cloud but are also navigating budgetary challenges.

With an estimated 94% of companies using cloud services today, priorities for IT teams have shifted from purely adoption-based to deploying new strategies. As they explore new territories, it can be a struggle to exploit the full value of their spend and the cloud's transformative capabilities.

Realizing the Benefits of the Cloud

The significant benefits experienced by cloud adoption make the costly investment worthwhile over time. Some of the most notable advantages include increased efficiencies, reliability and scalability. Part two of Aptum's Cloud Impact Study, titled Maximizing Value: Controlling Costs and Optimizing Cloud Spend surveyed 400 senior IT professionals in the US, UK and Canada. The study revealed that 95% of respondents stated the cloud is an important way to deliver better business continuity, 93% said it helps their organization improve security and better manage data, and 94% agreed that cloud has delivered expected efficiency gains in 2023.

For many organizations, the return on their cloud transformation results from the flexibility it offers compared to costly legacy systems. Companies can scale up or down based on their unique needs at any time, eliminating unnecessary spending on excess capacity.

Controlling Costs

Cloud investments are a substantial part of a company's budget, with 71% of IT professionals reporting that cloud-related costs account for 30% or more of their total IT spend, and 34% said it accounts for the majority of their tech budgets.

While the cloud provides many operational benefits to organizations, there is still work to be done economically — 73% of survey respondents said their cloud investments have led to higher-than-expected IT costs in the past 12 months, a 28% increase from 2021. Additionally, 52% of IT professionals stated their organizations have wasted significantly on inefficiencies with their cloud platforms and services.

Understandably, many organizations jumped head-first into the cloud during the pandemic and are now realizing the implications of the lack of a Cloud Adoption Framework. While many factors can play into increased costs, the most common are the lack of strategic plan and skills readiness to manage cloud usage effectively and efficiently. These shortcomings are exacerbated for organizations using a hybrid or multi-cloud approach with a mix of on-prem and public cloud services for different data needs and workloads.

Today, most IT professionals believe their organization lacks the right skills and expertise to plan complex and multi-cloud implementations, with 62% agreeing that a lack of internal expertise has prevented them from accelerating cloud implementations. This is imperative for controlling runaway costs and inefficiencies. Companies must have resources with the necessary skills and knowledge to make more informed decisions.

The Power of FinOps

In addition to investing in the right talent and more informed strategies, companies can address cloud costs by adopting FinOps. A collaborative culture approach between diverse teams, FinOps helps organizations gain real visibility into their cloud costs to make more informed decisions. FinOps brings together teams such as engineers, finance and product to create a central, cross-functioning "Center of Excellence" that is dedicated to offering best practices to stakeholders by aiding them in optimizing the company's cloud expenditures.

According to McKinsey, adopting FinOps in a complex cloud environment can reduce costs by as much as 30%. Controlling costs was the top challenge reported in the study, with 37% of IT professionals stating that a key driver of their cloud strategy and investment is gaining more flexibility and scalability in the amount of capacity available.

FinOps is a viable way to address IT professionals' challenges by bringing control and flexibility to achieve more cost-effective cloud consumption.

As the study found, the benefits of cloud computing are irrefutable given its potential for scalability, agility and cost savings. However, in order to reap its true benefits, companies must have a clear strategy in place, including the use of FinOps to ensure it is operating efficiently. Without this level of structure and planning, businesses will continue to experience unexpected costs, security breaches and operational inefficiencies.

Grant Duxbury is Global Director, Advisory & Consulting Services, at Aptum

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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.