Skip to main content

Improved Cloud Operations Key to Overcoming Challenges and Achieving Long-Term Success

Grant Duxbury
Aptum

Cloud adoption continues to skyrocket, with 60% of corporate data reportedly stored in the cloud in 2022, up from 30% in 2015. As organizations become more familiar and confident in the cloud, they invest in sophisticated technologies to further innovation and reap significant benefits.

Despite the overwhelming enthusiasm around hybrid cloud infrastructures, hurdles remain around cloud optimization, according to the 2023 Cloud Impact Study, commissioned by Aptum. The study also reveals the untapped potential IT leaders should implement. A few notable highlights include:

Hybrid and Multi-cloud Environments

Hybrid environments that combine legacy infrastructure with one or more cloud providers are quickly becoming the standard. Companies prefer hybrid and multi-cloud environments to better accommodate legacy solutions, with 59% of survey respondents using a combination of public and private cloud services. The use of both cloud services is high, with 82% of IT leaders using private cloud infrastructure and 77% using public cloud services.

The popularity of these options is no surprise, with both offering substantial benefits. How do you choose?

The 34% of respondents that reported security and governance as important factors when choosing a cloud environment most likely lean toward the private cloud, as it gives them more control over how sensitive and valuable data is stored. Private cloud also tends to offer a lower total cost of ownership (TCO), given the familiarity and customization of the infrastructure to meet the company's unique needs.

Public cloud offers quick-to-market turnaround and lower capital costs for businesses. A third (33%) of respondents preferred public cloud data backup facilities.

Maximizing Cloud Investments

Cloud investments are a significant portion of IT budgets and continue rising despite growing economic uncertainty. According to Google, 41% of business and tech leaders plan to increase spending on cloud services in 2023 in response to the current economic climate. Half (51%) of respondents to the Aptum survey say the cloud is a crucial part of their strategy to weather the economic downturn by helping cut costs, with a third (33%) reporting that the cloud is vital to creating predictability and avoiding unexpected costs. Many (51%) stated they have already seen a cost reduction from cloud investments.

In addition to cost savings, the cloud is also helping organizations optimize spending (48%), drive innovation and develop new services (49%), and deliver a better customer experience (35%).

When evaluating cloud investments, priority was placed on increased efficiency (per 53% of respondents) and improved agility (48% of respondents) over cost savings, which was important to 32% of public cloud users and 33% of private cloud users.

Harnessing FinOps to Control Cloud Costs

To establish long-term, cost-effective cloud consumption, IT leaders should implement effective FinOps practices that bring control and predictability to costs. FinOps blends finance and operations, giving businesses greater visibility of cloud costs to optimize expenditures and maximize ROI. It's most effective when implemented before deploying cloud, but never too late to execute. The longer a company waits to implement FinOps, the greater the cost and effort it takes to move away from a data center mindset and toward a cost-effective cloud.

According to McKinsey, adopting FinOps in a complex cloud environment can reduce cloud costs by as much as 30%. To fully benefit from a sustainable FinOps approach, companies must go beyond merely committing to a spending level for cost reduction. Organizations can achieve more effective use of electricity, cooling, and financial resources by engineering solutions that focus on efficient resource management — utilizing automation, auto-scaling, and contemporary architectural patterns.

Addressing Challenges for Long-Term Success

Despite the vast majority of respondents (98%) in the survey sharing that they are satisfied with their organization's cloud transformation, only 41% reported they are completely satisfied. The results reveal that a few challenges in cloud management remain, including:

■ Integration (42%)

■ Delivering cost predictability (36%)

■ Lack of skills combined (33%)

■ Changes in technology (33%)

Many businesses accelerated cloud migration during the global pandemic without a comprehensive strategy, hindering their results and costs today. Navigating both cloud environments with legacy systems requires mature practices, expertise and effective tooling across technologies. Thirty-five percent of respondents reported they struggle to move their applications or data into the cloud, and a further 34% say they are held back from advancing their cloud maturity because of the complexity of their legacy systems and a lack of in-house knowledge (31%).

Creating a Cloud Strategy to Achieve Business Outcomes

Hybrid cloud environments continue to prove their worth, allowing companies to build technology structures that meet their unique needs. Organizations can overcome challenges by optimizing their cloud architecture, following three key action points:

■ Conduct a comprehensive cloud assessment. Evaluate existing infrastructure, services and applications to identify inefficiencies, redundancy or misalignment with business objectives.

■ Implement cloud governance and cost management policies including a FinOps program for cloud resource usage, including budget allocations, cost monitoring and reporting.

■ Leverage automation, monitoring tools and development team practices to help identify and remediate inefficiencies, reducing the risk of human error and streamlining cloud management.

Combining these three efforts and incorporating DevOps and FinOps principles with a trusted Managed Service provider, IT leaders can effectively address the cloud complexity challenges and maintain control over cost while still achieving business goals.

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

Hot Topics

The Latest

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 ...

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 ...

Improved Cloud Operations Key to Overcoming Challenges and Achieving Long-Term Success

Grant Duxbury
Aptum

Cloud adoption continues to skyrocket, with 60% of corporate data reportedly stored in the cloud in 2022, up from 30% in 2015. As organizations become more familiar and confident in the cloud, they invest in sophisticated technologies to further innovation and reap significant benefits.

Despite the overwhelming enthusiasm around hybrid cloud infrastructures, hurdles remain around cloud optimization, according to the 2023 Cloud Impact Study, commissioned by Aptum. The study also reveals the untapped potential IT leaders should implement. A few notable highlights include:

Hybrid and Multi-cloud Environments

Hybrid environments that combine legacy infrastructure with one or more cloud providers are quickly becoming the standard. Companies prefer hybrid and multi-cloud environments to better accommodate legacy solutions, with 59% of survey respondents using a combination of public and private cloud services. The use of both cloud services is high, with 82% of IT leaders using private cloud infrastructure and 77% using public cloud services.

The popularity of these options is no surprise, with both offering substantial benefits. How do you choose?

The 34% of respondents that reported security and governance as important factors when choosing a cloud environment most likely lean toward the private cloud, as it gives them more control over how sensitive and valuable data is stored. Private cloud also tends to offer a lower total cost of ownership (TCO), given the familiarity and customization of the infrastructure to meet the company's unique needs.

Public cloud offers quick-to-market turnaround and lower capital costs for businesses. A third (33%) of respondents preferred public cloud data backup facilities.

Maximizing Cloud Investments

Cloud investments are a significant portion of IT budgets and continue rising despite growing economic uncertainty. According to Google, 41% of business and tech leaders plan to increase spending on cloud services in 2023 in response to the current economic climate. Half (51%) of respondents to the Aptum survey say the cloud is a crucial part of their strategy to weather the economic downturn by helping cut costs, with a third (33%) reporting that the cloud is vital to creating predictability and avoiding unexpected costs. Many (51%) stated they have already seen a cost reduction from cloud investments.

In addition to cost savings, the cloud is also helping organizations optimize spending (48%), drive innovation and develop new services (49%), and deliver a better customer experience (35%).

When evaluating cloud investments, priority was placed on increased efficiency (per 53% of respondents) and improved agility (48% of respondents) over cost savings, which was important to 32% of public cloud users and 33% of private cloud users.

Harnessing FinOps to Control Cloud Costs

To establish long-term, cost-effective cloud consumption, IT leaders should implement effective FinOps practices that bring control and predictability to costs. FinOps blends finance and operations, giving businesses greater visibility of cloud costs to optimize expenditures and maximize ROI. It's most effective when implemented before deploying cloud, but never too late to execute. The longer a company waits to implement FinOps, the greater the cost and effort it takes to move away from a data center mindset and toward a cost-effective cloud.

According to McKinsey, adopting FinOps in a complex cloud environment can reduce cloud costs by as much as 30%. To fully benefit from a sustainable FinOps approach, companies must go beyond merely committing to a spending level for cost reduction. Organizations can achieve more effective use of electricity, cooling, and financial resources by engineering solutions that focus on efficient resource management — utilizing automation, auto-scaling, and contemporary architectural patterns.

Addressing Challenges for Long-Term Success

Despite the vast majority of respondents (98%) in the survey sharing that they are satisfied with their organization's cloud transformation, only 41% reported they are completely satisfied. The results reveal that a few challenges in cloud management remain, including:

■ Integration (42%)

■ Delivering cost predictability (36%)

■ Lack of skills combined (33%)

■ Changes in technology (33%)

Many businesses accelerated cloud migration during the global pandemic without a comprehensive strategy, hindering their results and costs today. Navigating both cloud environments with legacy systems requires mature practices, expertise and effective tooling across technologies. Thirty-five percent of respondents reported they struggle to move their applications or data into the cloud, and a further 34% say they are held back from advancing their cloud maturity because of the complexity of their legacy systems and a lack of in-house knowledge (31%).

Creating a Cloud Strategy to Achieve Business Outcomes

Hybrid cloud environments continue to prove their worth, allowing companies to build technology structures that meet their unique needs. Organizations can overcome challenges by optimizing their cloud architecture, following three key action points:

■ Conduct a comprehensive cloud assessment. Evaluate existing infrastructure, services and applications to identify inefficiencies, redundancy or misalignment with business objectives.

■ Implement cloud governance and cost management policies including a FinOps program for cloud resource usage, including budget allocations, cost monitoring and reporting.

■ Leverage automation, monitoring tools and development team practices to help identify and remediate inefficiencies, reducing the risk of human error and streamlining cloud management.

Combining these three efforts and incorporating DevOps and FinOps principles with a trusted Managed Service provider, IT leaders can effectively address the cloud complexity challenges and maintain control over cost while still achieving business goals.

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

Hot Topics

The Latest

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 ...

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 ...