Skip to main content

Public Sector Losing Confidence in IT Ops

Pete Goldin
APMdigest

Public sector organizations undergoing digital transformation are losing confidence in IT Operations' ability to manage the influx of new technologies and evolving citizen and mission expectations, according to the 2017 Splunk Public Sector IT Operations Survey, conducted by the Ponemon Institute. Despite the rising complexity of IT, respondents see promise in DevOps to help achieve future mission success.

The survey polled a wide range of Public Sector IT professionals from national and local government agencies, national security, emergency services, higher education institutions and aerospace and defense. A converging host of factors and trends including constantly shifting budgets, changing regulatory compliance and modernization initiatives have contributed to declining confidence, but emerging technologies focused on automation and increased visibility are helping Public Sector organizations today.

Among the key findings, at least 60 percent of respondents felt as or less confident in carrying out their responsibilities in the following areas than they did 12 months ago:

■ Handling the scale and complexity of IT operations

■ Assuring performance and availability to consistently meet service level agreements

■ Pinpointing root-causes and sources of failure quickly

■ Ensuring efficiency of IT operations

■ Migrating workloads and applications to the cloud

"The confidence gap we are seeing maps to other industry and government technology trends including growing public scrutiny, ever-present resource limitations and rapidly increasing expectations of technology by end-users. There's never been a more important time for public sector organizations to embrace analytics to help them face and overcome these challenges with data," said Larry Ponemon, Chairman and Founder of the Ponemon Institute. "It's a challenging time to work in Government IT, but there are plenty of reasons to be hopeful for the future. It's not surprising public sector IT leaders are looking to analytics, cloud and DevOps to help accelerate IT performance and management."

IT Operations in Constant, Reactive Fire Drill Mode

The survey also highlighted reasons for the overall loss of confidence across the Public Sector. Respondents felt that siloed IT systems and technologies, and an inability to integrate those systems (72 percent), were keeping them in a constant reactive state rather than being able to proactively plan for the future.

IT managers also cited the lack of end-to-end visibility (73 percent) and too many alerts and false-positives (55 percent) among the biggest threats to service delivery along with a lack of skills, expertise and resources to effectively accomplish their jobs. Even where analytics tools were in place, most respondents felt they were ineffective at helping quickly pinpoint issues and determine root causes (78 percent).

As a result of limited visibility, overly manual processes and alert fatigue, the survey also found that the average system outage took 44 hours to resolve, while requiring 12.5 staff remembers to restore operational status to IT systems. This extended length of time and confusion often puts IT operators further underwater as they struggle to find the balance of executing on day-to-day operations while setting long-term proactive IT strategy.

Optimism About New Tech

Despite a current lack of confidence, Public Sector IT operators see an optimistic future for increased adoption of DevOps, with roughly half of respondents anticipating increased spending devoted to it (46 percent) over the next 12 months.

Additionally, respondents were encouraged by new network visibility and machine learning technologies and capabilities, saying they could have a major impact on improving and strengthening IT operations in the future.

"There's no question that a lack of visibility is a major factor shaking the confidence of IT operations staff and management," said Kevin Davis, VP of Public Sector, Splunk. "A majority of IT decision makers do not think or are unsure if challenges such as IT troubleshooting, service monitoring, security and business and mission analytics can be addressed using a single set of data. Splunk has helped many of our customers realize this and ultimately become more analytics driven. By giving our customers the ability to ingest data once and use it across their IT infrastructure, public sector organizations can get ahead of IT modernization programs, ultimately helping them embrace digital transformation."

Methodology: The Ponemon Institute surveyed 1,227 decision makers and operations staff across federal civilian agencies (31 percent), federal defense and intelligence agencies (29 percent), state and local government agencies (18 percent), higher education institutions (9 percent), and federal systems integrators including aerospace and defense contractors (13 percent). The margin of error was 3.8 percent at a 95 percent confidence level. The survey polled IT workers and leaders from IT organizations of at least 100 people or more and was conducted on behalf of Splunk through online interviews in May 2017.

Pete Goldin is Editor and Publisher of APMdigest

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 ...

Public Sector Losing Confidence in IT Ops

Pete Goldin
APMdigest

Public sector organizations undergoing digital transformation are losing confidence in IT Operations' ability to manage the influx of new technologies and evolving citizen and mission expectations, according to the 2017 Splunk Public Sector IT Operations Survey, conducted by the Ponemon Institute. Despite the rising complexity of IT, respondents see promise in DevOps to help achieve future mission success.

The survey polled a wide range of Public Sector IT professionals from national and local government agencies, national security, emergency services, higher education institutions and aerospace and defense. A converging host of factors and trends including constantly shifting budgets, changing regulatory compliance and modernization initiatives have contributed to declining confidence, but emerging technologies focused on automation and increased visibility are helping Public Sector organizations today.

Among the key findings, at least 60 percent of respondents felt as or less confident in carrying out their responsibilities in the following areas than they did 12 months ago:

■ Handling the scale and complexity of IT operations

■ Assuring performance and availability to consistently meet service level agreements

■ Pinpointing root-causes and sources of failure quickly

■ Ensuring efficiency of IT operations

■ Migrating workloads and applications to the cloud

"The confidence gap we are seeing maps to other industry and government technology trends including growing public scrutiny, ever-present resource limitations and rapidly increasing expectations of technology by end-users. There's never been a more important time for public sector organizations to embrace analytics to help them face and overcome these challenges with data," said Larry Ponemon, Chairman and Founder of the Ponemon Institute. "It's a challenging time to work in Government IT, but there are plenty of reasons to be hopeful for the future. It's not surprising public sector IT leaders are looking to analytics, cloud and DevOps to help accelerate IT performance and management."

IT Operations in Constant, Reactive Fire Drill Mode

The survey also highlighted reasons for the overall loss of confidence across the Public Sector. Respondents felt that siloed IT systems and technologies, and an inability to integrate those systems (72 percent), were keeping them in a constant reactive state rather than being able to proactively plan for the future.

IT managers also cited the lack of end-to-end visibility (73 percent) and too many alerts and false-positives (55 percent) among the biggest threats to service delivery along with a lack of skills, expertise and resources to effectively accomplish their jobs. Even where analytics tools were in place, most respondents felt they were ineffective at helping quickly pinpoint issues and determine root causes (78 percent).

As a result of limited visibility, overly manual processes and alert fatigue, the survey also found that the average system outage took 44 hours to resolve, while requiring 12.5 staff remembers to restore operational status to IT systems. This extended length of time and confusion often puts IT operators further underwater as they struggle to find the balance of executing on day-to-day operations while setting long-term proactive IT strategy.

Optimism About New Tech

Despite a current lack of confidence, Public Sector IT operators see an optimistic future for increased adoption of DevOps, with roughly half of respondents anticipating increased spending devoted to it (46 percent) over the next 12 months.

Additionally, respondents were encouraged by new network visibility and machine learning technologies and capabilities, saying they could have a major impact on improving and strengthening IT operations in the future.

"There's no question that a lack of visibility is a major factor shaking the confidence of IT operations staff and management," said Kevin Davis, VP of Public Sector, Splunk. "A majority of IT decision makers do not think or are unsure if challenges such as IT troubleshooting, service monitoring, security and business and mission analytics can be addressed using a single set of data. Splunk has helped many of our customers realize this and ultimately become more analytics driven. By giving our customers the ability to ingest data once and use it across their IT infrastructure, public sector organizations can get ahead of IT modernization programs, ultimately helping them embrace digital transformation."

Methodology: The Ponemon Institute surveyed 1,227 decision makers and operations staff across federal civilian agencies (31 percent), federal defense and intelligence agencies (29 percent), state and local government agencies (18 percent), higher education institutions (9 percent), and federal systems integrators including aerospace and defense contractors (13 percent). The margin of error was 3.8 percent at a 95 percent confidence level. The survey polled IT workers and leaders from IT organizations of at least 100 people or more and was conducted on behalf of Splunk through online interviews in May 2017.

Pete Goldin is Editor and Publisher of APMdigest

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 ...