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2015 State of the Cloud Report

Kim Weins

Enterprises are increasingly implementing a hybrid cloud strategy that encompasses public and private clouds as well as existing virtualized environments, according to the 2015 State of the Cloud Survey conducted by RightScale.

Although more enterprise workloads are currently deployed in private clouds, public clouds are used more broadly and are expected to attract new workloads at a faster rate.

Highlights of the RightScale 2015 State of the Cloud Report include:

Cloud is ubiquitous, hybrid cloud is the preferred strategy: 93 percent of organizations surveyed are running applications or experimenting with infrastructure-as-a-service; 82 percent of enterprises have a hybrid cloud strategy (up from 74 percent in 2014).

Public clouds are used by more organizations while private cloud runs more workloads: 88 percent of organizations use public cloud compared with 63 percent that use private cloud; 13 percent of enterprises run more than 1,000 VMs in public cloud, while 22 percent of organizations run more than 1,000 VMs in private cloud.

Significant headroom for more enterprise workloads to move to the cloud: 68 percent of enterprises run less than a fifth of their application portfolio in the cloud; 55 percent of enterprises report that a significant portion of their existing application portfolio is not in cloud, but is built with cloud-friendly architectures.

Enterprise central IT teams take the reins to broker cloud services: 62 percent of enterprises report that central IT makes the majority of cloud spending decisions; 43 percent of IT teams are offering a self-service portal for access to cloud services, with an additional 41 percent planning or developing a portal.

DevOps rises; Docker soars: Overall DevOps adoption has risen to 66 percent, with enterprises reaching 71 percent; Chef and Puppet are used by 28 and 24 percent of organizations respectively; Docker, in its first year, is already used by 13 percent of organizations with a whopping 35 percent of organizations planning to use.

Amazon Web Services (AWS) continues to dominate in public cloud, but Azure makes inroads among enterprises: AWS adoption is 57 percent, while Azure IaaS is second at 12 percent vs.6 percent in 2014; Among enterprise respondents, Azure IaaS narrows the gap with 19 percent adoption as compared to AWS with 50 percent; Google’s IaaS offering shows the faster growth among enterprises, increasing from 4 percent in 2014 to 9 percent in 2015.

Private cloud stalls in 2015 with only small changes in adoption: Respondents reported minimal changes in adoption of private cloud technologies from 2014. VMware vSphere continues to lead with 53 percent of enterprise respondents reporting that they use it as a private cloud. Enterprises using OpenStack shows the largest increase for 2015, growing by 3 percent. The new Azure Pack offering shows strong use in its first year, used by 11 percent of enterprises.

“The tide of enterprise cloud adoption has shifted from shadow IT to strategic adoption led by central IT teams,” said Michael Crandell, CEO of RightScale. "As enterprise IT has become more open to public cloud and more comfortable with cloud security, it is now in a strong position to broker cloud services to internal customers and drive cloud adoption forward. In the next year organizations expect to shift more workloads to cloud, with public cloud workloads growing faster than private cloud."

Survey Methodology: RightScale conducted its annual State of the Cloud Survey in January 2015. The survey questioned technical professionals across a broad cross-section of organizations about their adoption of cloud computing. The 930 respondents range from technical executives to managers and practitioners and represent organizations of varying sizes across many industries. Respondents represent companies across the cloud spectrum, including both users (24 percent) and non-users (76 percent) of RightScale solutions. Their answers provide a comprehensive perspective on the state of the cloud today. The margin of error is 3.2 percent.

Kim Weins is VP of Marketing at RightScale.

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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 ...

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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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

2015 State of the Cloud Report

Kim Weins

Enterprises are increasingly implementing a hybrid cloud strategy that encompasses public and private clouds as well as existing virtualized environments, according to the 2015 State of the Cloud Survey conducted by RightScale.

Although more enterprise workloads are currently deployed in private clouds, public clouds are used more broadly and are expected to attract new workloads at a faster rate.

Highlights of the RightScale 2015 State of the Cloud Report include:

Cloud is ubiquitous, hybrid cloud is the preferred strategy: 93 percent of organizations surveyed are running applications or experimenting with infrastructure-as-a-service; 82 percent of enterprises have a hybrid cloud strategy (up from 74 percent in 2014).

Public clouds are used by more organizations while private cloud runs more workloads: 88 percent of organizations use public cloud compared with 63 percent that use private cloud; 13 percent of enterprises run more than 1,000 VMs in public cloud, while 22 percent of organizations run more than 1,000 VMs in private cloud.

Significant headroom for more enterprise workloads to move to the cloud: 68 percent of enterprises run less than a fifth of their application portfolio in the cloud; 55 percent of enterprises report that a significant portion of their existing application portfolio is not in cloud, but is built with cloud-friendly architectures.

Enterprise central IT teams take the reins to broker cloud services: 62 percent of enterprises report that central IT makes the majority of cloud spending decisions; 43 percent of IT teams are offering a self-service portal for access to cloud services, with an additional 41 percent planning or developing a portal.

DevOps rises; Docker soars: Overall DevOps adoption has risen to 66 percent, with enterprises reaching 71 percent; Chef and Puppet are used by 28 and 24 percent of organizations respectively; Docker, in its first year, is already used by 13 percent of organizations with a whopping 35 percent of organizations planning to use.

Amazon Web Services (AWS) continues to dominate in public cloud, but Azure makes inroads among enterprises: AWS adoption is 57 percent, while Azure IaaS is second at 12 percent vs.6 percent in 2014; Among enterprise respondents, Azure IaaS narrows the gap with 19 percent adoption as compared to AWS with 50 percent; Google’s IaaS offering shows the faster growth among enterprises, increasing from 4 percent in 2014 to 9 percent in 2015.

Private cloud stalls in 2015 with only small changes in adoption: Respondents reported minimal changes in adoption of private cloud technologies from 2014. VMware vSphere continues to lead with 53 percent of enterprise respondents reporting that they use it as a private cloud. Enterprises using OpenStack shows the largest increase for 2015, growing by 3 percent. The new Azure Pack offering shows strong use in its first year, used by 11 percent of enterprises.

“The tide of enterprise cloud adoption has shifted from shadow IT to strategic adoption led by central IT teams,” said Michael Crandell, CEO of RightScale. "As enterprise IT has become more open to public cloud and more comfortable with cloud security, it is now in a strong position to broker cloud services to internal customers and drive cloud adoption forward. In the next year organizations expect to shift more workloads to cloud, with public cloud workloads growing faster than private cloud."

Survey Methodology: RightScale conducted its annual State of the Cloud Survey in January 2015. The survey questioned technical professionals across a broad cross-section of organizations about their adoption of cloud computing. The 930 respondents range from technical executives to managers and practitioners and represent organizations of varying sizes across many industries. Respondents represent companies across the cloud spectrum, including both users (24 percent) and non-users (76 percent) of RightScale solutions. Their answers provide a comprehensive perspective on the state of the cloud today. The margin of error is 3.2 percent.

Kim Weins is VP of Marketing at RightScale.

Hot Topics

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...