Skip to main content

ScienceLogic FOSE Survey Reveals Progress and Challenges in Government Cloud Initiatives

Two-thirds of federal agencies have identified applications to move to the cloud, and half those have started the migration process to cloud computing per Federal CIO Vivek Kundra’s Cloud First policy. This is according to a survey of 113 FOSE attendees conducted by IT operations and cloud management software provider ScienceLogic. Of those that have started migration to the cloud, 92 percent are concerned about the performance and availability of services hosted in the cloud, and 63 percent say they will require additional tools to manage and monitor government cloud resources.

The Cloud First policy, laid out by Kundra in December 2010, requires all government agencies to identify and migrate three ‘must move’ services to cloud solutions within 18 months, with at least one service fully migrated within 12 months. According to the survey, the majority of respondents (65 percent) are concerned that internal budget allocated to implement the Cloud First policy, including new solutions required to manage and monitor IT operations in the cloud, will shrink after Kundra resigns from his position in August.

“While our survey indicates the Cloud First policy has not achieved rapid adoption, two-thirds of respondents have taken some action towards cloud deployments, highlighting the continued desire for cloud computing within the government,” says David Link, CEO of ScienceLogic. “An overwhelming majority however are concerned about safeguarding IT services in this new cloud environment, which may be why swift government cloud adoption has stalled. This is not surprising considering the precursors to cloud, including virtualization and data center consolidation, present their own complex IT management challenges.”

“With Kundra leaving office, uncertainty around budget, tools and staff have put government organizations in a holding pattern,” Link continues. “Technology that enables organizations to expertly manage IT services across a changing mix of data center and cloud environments will be of utmost importance to ensure the success of the Cloud First initiative, even after its strongest supporter moves on.”

The majority of survey respondents also reported that new staffing and/or training will be required to effectively employ cloud services: More than 32 percent will hire staff with cloud skills, 34 percent will train existing staff and 12 percent will do a combination of both, as they begin or continue to migrate applications to cloud solutions. This echoes a survey ScienceLogic carried out at Interop and another conducted by independent firm Gatepoint Research, which found that investment in training existing staff was a key element to support overall cloud goals.

Other key results highlighted in the FOSE survey include:

- Overall, 79 percent of the total surveyed are concerned about performance and availability of applications in the cloud

- Only nine percent are not concerned with the performance and availability of services hosted in the cloud, and 12 percent have not thought about it

- 40 percent say that Cloud First has impacted their planned IT operations in some way

- 38 percent say they are still waiting to see if the Cloud First policy will impact IT operations

- One-third have identified applications to move to the cloud, but have not started migration

- 34 percent have not identified or started migration to the cloud

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 ...

ScienceLogic FOSE Survey Reveals Progress and Challenges in Government Cloud Initiatives

Two-thirds of federal agencies have identified applications to move to the cloud, and half those have started the migration process to cloud computing per Federal CIO Vivek Kundra’s Cloud First policy. This is according to a survey of 113 FOSE attendees conducted by IT operations and cloud management software provider ScienceLogic. Of those that have started migration to the cloud, 92 percent are concerned about the performance and availability of services hosted in the cloud, and 63 percent say they will require additional tools to manage and monitor government cloud resources.

The Cloud First policy, laid out by Kundra in December 2010, requires all government agencies to identify and migrate three ‘must move’ services to cloud solutions within 18 months, with at least one service fully migrated within 12 months. According to the survey, the majority of respondents (65 percent) are concerned that internal budget allocated to implement the Cloud First policy, including new solutions required to manage and monitor IT operations in the cloud, will shrink after Kundra resigns from his position in August.

“While our survey indicates the Cloud First policy has not achieved rapid adoption, two-thirds of respondents have taken some action towards cloud deployments, highlighting the continued desire for cloud computing within the government,” says David Link, CEO of ScienceLogic. “An overwhelming majority however are concerned about safeguarding IT services in this new cloud environment, which may be why swift government cloud adoption has stalled. This is not surprising considering the precursors to cloud, including virtualization and data center consolidation, present their own complex IT management challenges.”

“With Kundra leaving office, uncertainty around budget, tools and staff have put government organizations in a holding pattern,” Link continues. “Technology that enables organizations to expertly manage IT services across a changing mix of data center and cloud environments will be of utmost importance to ensure the success of the Cloud First initiative, even after its strongest supporter moves on.”

The majority of survey respondents also reported that new staffing and/or training will be required to effectively employ cloud services: More than 32 percent will hire staff with cloud skills, 34 percent will train existing staff and 12 percent will do a combination of both, as they begin or continue to migrate applications to cloud solutions. This echoes a survey ScienceLogic carried out at Interop and another conducted by independent firm Gatepoint Research, which found that investment in training existing staff was a key element to support overall cloud goals.

Other key results highlighted in the FOSE survey include:

- Overall, 79 percent of the total surveyed are concerned about performance and availability of applications in the cloud

- Only nine percent are not concerned with the performance and availability of services hosted in the cloud, and 12 percent have not thought about it

- 40 percent say that Cloud First has impacted their planned IT operations in some way

- 38 percent say they are still waiting to see if the Cloud First policy will impact IT operations

- One-third have identified applications to move to the cloud, but have not started migration

- 34 percent have not identified or started migration to the cloud

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 ...