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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

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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

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Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...