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Cloud Trends to Watch in 2024

Grant Duxbury
Aptum

There has been no shortage of change in the technology landscape throughout the past several years. As we enter another new year, we'll continue seeing advancements in how enterprises apply the cloud to their operations. Businesses are taking more advantage of the opportunities offered by the cloud, aside from time and cost savings.

This next year is poised to be one of growth and innovation in how companies apply the cloud to their infrastructure. Here are a few key trends we predict will shape the cloud in 2024.

1. Cloud Diversity + The Role of Managed Service Providers

Cloud scale and usage based on economy will actively grow as more services try to centralize their control and lifecycle management. Rather than managing multiple deployments for multiple customers, service providers will look to centralize product delivery into as-a-service models.

As-a-service models can offer more flexibility in many cases, but there are some complexities in navigating how to choose if as-a-service is right for your business and infrastructure. As-a-service models can have more lock-in with fewer options to exfiltrate data. It may be less cost-effective for some organizations, as depending on the services they require. Consumers no longer control the ability to "not" use a service, which can in turn increase costs. Ultimately, organizations need to evaluate an as-a-service model to determine if the costs and level of flexibility are right for their needs.

In this increasingly as-a-service market, we'll see the role of managed service providers (MSPs) evolve. MPS will need to "up their game," so to speak, in this increasingly competitive market. Rather than taking shortcuts, it's imperative to remain stable within the ever-changing landscape.

2. The AI Evolution

AI has caused quite a stir in nearly every industry, including cloud providers. Companies will continue exploring how AI can benefit their business in the new year, but need to be cautious and strategic in their approach as AI becomes more accessible.

Reducing the barrier of entry will allow companies to explore the use of AI, but it may come with negative impacts. If organizations do not have a solid grasp on the technology and requirements, they could become too dependent on AI without having a proper exit strategy in the event the technology fails.

Where AI can most benefit organizations in its early stages is automating repetitive tasks, such as auditing and reviewing costs associated with a service. Utilizing AI in instances where issues can be solved through both human and AI is key. Deploying newer technologies in areas where the effort could not be reproduced by a team could negatively impact operations.

3. Cloud Efficiency: Using FinOps

FinOps is going to be a key area for organizations in 2024. The rampant cloud and as-a-service adoption period in the name of progress is coming to an end. As companies shifted to the cloud throughout the past three years, many did not take account of the financial implications of their approach when shifting to the cloud.

Organizations in 2024 are going to aim for more efficiency – both financially and operationally. We'll see more businesses assessing their fundamental needs, then driving cost and operational efficiencies within those areas. The sort of "all-you-can-eat buffet" services are going to be less palatable for most organizations, with more focus on efficiently adopting cloud and as-a-service where they are most needed. Overall, businesses will want more accountability for how investments are being made – making FinOps an ideal strategy.

4. Enhancing Sustainability in Cloud Computing

While not necessarily driven by the cloud specifically, sustainability will be a priority for organizations next year. Minimizing their impact on the environment has already become fundamental to many businesses and industries, and this will only increase as they look to conserve energy and resources – whether from internal or external directives. Cloud services will evolve to meet customer demands when it comes to sustainability, as organizations look to better manage their scope of services and operational dependencies.

As organizations strive to increase sustainability, it's also important to view it from a holistic perspective – taking into account people, planet and profit. Internally, an organization's employees are an integral part of their sustainability approach, ensuring there is a good environment and open communication. From a typical sustainability approach, organizations must consider their impact on the planet, such as energy consumption. And while it's profitable to be sustainable, it's important to develop the right approach. Adopting the right patterns allows companies to compute effectively and become more sustainable.

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.

Cloud Trends to Watch in 2024

Grant Duxbury
Aptum

There has been no shortage of change in the technology landscape throughout the past several years. As we enter another new year, we'll continue seeing advancements in how enterprises apply the cloud to their operations. Businesses are taking more advantage of the opportunities offered by the cloud, aside from time and cost savings.

This next year is poised to be one of growth and innovation in how companies apply the cloud to their infrastructure. Here are a few key trends we predict will shape the cloud in 2024.

1. Cloud Diversity + The Role of Managed Service Providers

Cloud scale and usage based on economy will actively grow as more services try to centralize their control and lifecycle management. Rather than managing multiple deployments for multiple customers, service providers will look to centralize product delivery into as-a-service models.

As-a-service models can offer more flexibility in many cases, but there are some complexities in navigating how to choose if as-a-service is right for your business and infrastructure. As-a-service models can have more lock-in with fewer options to exfiltrate data. It may be less cost-effective for some organizations, as depending on the services they require. Consumers no longer control the ability to "not" use a service, which can in turn increase costs. Ultimately, organizations need to evaluate an as-a-service model to determine if the costs and level of flexibility are right for their needs.

In this increasingly as-a-service market, we'll see the role of managed service providers (MSPs) evolve. MPS will need to "up their game," so to speak, in this increasingly competitive market. Rather than taking shortcuts, it's imperative to remain stable within the ever-changing landscape.

2. The AI Evolution

AI has caused quite a stir in nearly every industry, including cloud providers. Companies will continue exploring how AI can benefit their business in the new year, but need to be cautious and strategic in their approach as AI becomes more accessible.

Reducing the barrier of entry will allow companies to explore the use of AI, but it may come with negative impacts. If organizations do not have a solid grasp on the technology and requirements, they could become too dependent on AI without having a proper exit strategy in the event the technology fails.

Where AI can most benefit organizations in its early stages is automating repetitive tasks, such as auditing and reviewing costs associated with a service. Utilizing AI in instances where issues can be solved through both human and AI is key. Deploying newer technologies in areas where the effort could not be reproduced by a team could negatively impact operations.

3. Cloud Efficiency: Using FinOps

FinOps is going to be a key area for organizations in 2024. The rampant cloud and as-a-service adoption period in the name of progress is coming to an end. As companies shifted to the cloud throughout the past three years, many did not take account of the financial implications of their approach when shifting to the cloud.

Organizations in 2024 are going to aim for more efficiency – both financially and operationally. We'll see more businesses assessing their fundamental needs, then driving cost and operational efficiencies within those areas. The sort of "all-you-can-eat buffet" services are going to be less palatable for most organizations, with more focus on efficiently adopting cloud and as-a-service where they are most needed. Overall, businesses will want more accountability for how investments are being made – making FinOps an ideal strategy.

4. Enhancing Sustainability in Cloud Computing

While not necessarily driven by the cloud specifically, sustainability will be a priority for organizations next year. Minimizing their impact on the environment has already become fundamental to many businesses and industries, and this will only increase as they look to conserve energy and resources – whether from internal or external directives. Cloud services will evolve to meet customer demands when it comes to sustainability, as organizations look to better manage their scope of services and operational dependencies.

As organizations strive to increase sustainability, it's also important to view it from a holistic perspective – taking into account people, planet and profit. Internally, an organization's employees are an integral part of their sustainability approach, ensuring there is a good environment and open communication. From a typical sustainability approach, organizations must consider their impact on the planet, such as energy consumption. And while it's profitable to be sustainable, it's important to develop the right approach. Adopting the right patterns allows companies to compute effectively and become more sustainable.

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.