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Companies Commit to Digital Transformation with Confidence in Cloud

For the first time, a majority of companies are putting mission critical apps in the cloud, according to the latest report by Cloud Foundry Foundation.

The study revealed that companies treat digital transformation as a constant cycle of adaptation rather than a one-time fix. As part of that process, cloud technologies such as Platform-as-a-Service (PaaS), containers and serverless continue to grow at scale, while microservices and AI/ML are next to be integrated into their workflows.

As more companies embrace the reality of digital transformation, they are adapting to the iterative journey that unfolds. Per the report, 74 percent of respondents equate digital transformation to "perpetual shifts and constant adaption of new technology," compared to 26 percent who view digital transformation as a "one-time change and adoption of new technology." More than three quarters of IT decision makers believe digital transformation is a reality, and 86 percent of CIOs, CTOs and Line of Business leaders agree.

"The vast majority of companies agree digital transformation is a constant process of incremental change, rather than a one-time initiative, and are realizing their long-term strategy must involve adaptation to a wide range of unforeseen challenges and technological changes," said Abby Kearns, Executive Director, Cloud Foundry Foundation. "Although companies are starting to see the benefits of advanced cloud technologies, what's coming next—artificial intelligence, machine learning and blockchain, for example — will continue to prove that the only constant in technology is change."

Key findings from the report include:

Multi-platform strategy is flourishing

Almost half of respondents (48 percent) report using a combination of PaaS, containers and serverless technologies together—an increase of nine percent from last year's multi-platform report. There are increases across the board in companies using a combination of all three technologies in various iterations, with 72 percent using PaaS and containers together (+8%), 50 percent using PaaS and serverless together (+7%), and 49 percent using containers and serverless together (+7%).

Container usage widens

Among companies using or evaluating containers, there has been substantial growth in the number of containers used. Organizations using 100 or more containers has grown from 34 percent in April 2018 to 48 percent in February 2019. Among the IT decision makers surveyed, 62 percent report they expect containers to be mainstreamed at their organization within a year.

Serverless evaluation slows

Serverless evaluation slows, but there is broader deployment among users. While there was a slight pull back in overall usage and evaluation since September, for those using and evaluating serverless, broad deployment doubled since last year — increasing from 9% to 18%.

Timeline to see digital transformation vary by region

North American companies are largely feeling the benefit of digital transformation or expect to in this quarter (49%), though slightly more than a third (34%) don't expect to see benefits for a year or more. Conversely, a third of organizations in Asia expect to see benefits later this year while only 24% expect it to take over a year. More than half of European companies (56%) already feel the benefit or expect to this quarter, while a small percentage (19%) expect to feel the benefits within the year.

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 ...

Companies Commit to Digital Transformation with Confidence in Cloud

For the first time, a majority of companies are putting mission critical apps in the cloud, according to the latest report by Cloud Foundry Foundation.

The study revealed that companies treat digital transformation as a constant cycle of adaptation rather than a one-time fix. As part of that process, cloud technologies such as Platform-as-a-Service (PaaS), containers and serverless continue to grow at scale, while microservices and AI/ML are next to be integrated into their workflows.

As more companies embrace the reality of digital transformation, they are adapting to the iterative journey that unfolds. Per the report, 74 percent of respondents equate digital transformation to "perpetual shifts and constant adaption of new technology," compared to 26 percent who view digital transformation as a "one-time change and adoption of new technology." More than three quarters of IT decision makers believe digital transformation is a reality, and 86 percent of CIOs, CTOs and Line of Business leaders agree.

"The vast majority of companies agree digital transformation is a constant process of incremental change, rather than a one-time initiative, and are realizing their long-term strategy must involve adaptation to a wide range of unforeseen challenges and technological changes," said Abby Kearns, Executive Director, Cloud Foundry Foundation. "Although companies are starting to see the benefits of advanced cloud technologies, what's coming next—artificial intelligence, machine learning and blockchain, for example — will continue to prove that the only constant in technology is change."

Key findings from the report include:

Multi-platform strategy is flourishing

Almost half of respondents (48 percent) report using a combination of PaaS, containers and serverless technologies together—an increase of nine percent from last year's multi-platform report. There are increases across the board in companies using a combination of all three technologies in various iterations, with 72 percent using PaaS and containers together (+8%), 50 percent using PaaS and serverless together (+7%), and 49 percent using containers and serverless together (+7%).

Container usage widens

Among companies using or evaluating containers, there has been substantial growth in the number of containers used. Organizations using 100 or more containers has grown from 34 percent in April 2018 to 48 percent in February 2019. Among the IT decision makers surveyed, 62 percent report they expect containers to be mainstreamed at their organization within a year.

Serverless evaluation slows

Serverless evaluation slows, but there is broader deployment among users. While there was a slight pull back in overall usage and evaluation since September, for those using and evaluating serverless, broad deployment doubled since last year — increasing from 9% to 18%.

Timeline to see digital transformation vary by region

North American companies are largely feeling the benefit of digital transformation or expect to in this quarter (49%), though slightly more than a third (34%) don't expect to see benefits for a year or more. Conversely, a third of organizations in Asia expect to see benefits later this year while only 24% expect it to take over a year. More than half of European companies (56%) already feel the benefit or expect to this quarter, while a small percentage (19%) expect to feel the benefits within the year.

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 ...