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Public Sector Challenged by IT Complexity

Pete Goldin
APMdigest

Despite rapid adoption of new technologies to improve operations, a new survey from Clarus Research Group and Splunk found half of public sector IT professionals (51 percent) feel new IT technology paradigms, such as cloud and DevOps, are adding complexity to their organization rather than simplifying operations.

The findings also revealed that lack of resources remains a substantial problem for public sector. Selected by nearly half (44 percent) of respondents, public sector IT professionals cited insufficient IT resources (i.e. budget and personnel) as the biggest risk to their organization or agency over the next year.

While 71 percent of public sector IT professionals agree insights from IT data are important to their organization, the combination of increased complexity, limited resources and continued use of manual processes is making it difficult for public sector organizations to gain valuable insights from their IT data and achieve greater visibility into systems.

Additional findings include:

■ Lack of funding and budget constraints was selected by close to half (45 percent) of respondents as the top difficulty in managing IT operations.

■ Nearly four in 10 (38 percent) say complexity of IT systems and technology is a top difficulty in managing IT operations.

■ More than half (53 percent) of public sector IT decision makers feel their organization does not have end-to-end visibility across IT systems to foresee issues ahead of time, which often results in operational inefficiencies, delays and waste.

■ Almost two-thirds (64 percent) of respondents revealed their organization is still using manual processes to gather information to solve issues and 58 percent admitted their troubleshooting is manual and ad hoc. Nearly half (48 percent) also say they either don’t have or don’t know if they have the ability to pinpoint problems because their systems are managed in silos.

IT data formats and ingestion is another obstacle public sector organizations face when trying to gain insights. According to the survey, half (50 percent) of public sector IT pros say data in different formats or types has been a problem when trying to diagnose IT issues, and 40 percent agreed that data ingestion and normalization is cumbersome and tedious. These challenges are undoubtedly affecting organizations’ abilities to be operationally and financially efficient. The vast amount of data and formats available make it difficult for public sector organizations to determine where to start and what is relevant to the problem.

The survey also revealed the IT technologies that public sector organizations will expand use of over the next few years. Server monitoring and analytics (74 percent) and network infrastructure monitoring analytics (71 percent) were the top IT solutions decision makers expect to expand more. In addition, nearly seven in 10 public sector IT pros (69 percent) said they expect to see use of commercial off-the-shelf (COTS) solutions increase, including nearly nine of 10 (87 percent) federal national security respondents.

Methodology: Clarus Research Group surveyed 634 federal, state and local government and higher education IT decision makers. The survey was conducted on behalf of Splunk through online interviews in May 2016.

Pete Goldin is Editor and Publisher of APMdigest

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Public Sector Challenged by IT Complexity

Pete Goldin
APMdigest

Despite rapid adoption of new technologies to improve operations, a new survey from Clarus Research Group and Splunk found half of public sector IT professionals (51 percent) feel new IT technology paradigms, such as cloud and DevOps, are adding complexity to their organization rather than simplifying operations.

The findings also revealed that lack of resources remains a substantial problem for public sector. Selected by nearly half (44 percent) of respondents, public sector IT professionals cited insufficient IT resources (i.e. budget and personnel) as the biggest risk to their organization or agency over the next year.

While 71 percent of public sector IT professionals agree insights from IT data are important to their organization, the combination of increased complexity, limited resources and continued use of manual processes is making it difficult for public sector organizations to gain valuable insights from their IT data and achieve greater visibility into systems.

Additional findings include:

■ Lack of funding and budget constraints was selected by close to half (45 percent) of respondents as the top difficulty in managing IT operations.

■ Nearly four in 10 (38 percent) say complexity of IT systems and technology is a top difficulty in managing IT operations.

■ More than half (53 percent) of public sector IT decision makers feel their organization does not have end-to-end visibility across IT systems to foresee issues ahead of time, which often results in operational inefficiencies, delays and waste.

■ Almost two-thirds (64 percent) of respondents revealed their organization is still using manual processes to gather information to solve issues and 58 percent admitted their troubleshooting is manual and ad hoc. Nearly half (48 percent) also say they either don’t have or don’t know if they have the ability to pinpoint problems because their systems are managed in silos.

IT data formats and ingestion is another obstacle public sector organizations face when trying to gain insights. According to the survey, half (50 percent) of public sector IT pros say data in different formats or types has been a problem when trying to diagnose IT issues, and 40 percent agreed that data ingestion and normalization is cumbersome and tedious. These challenges are undoubtedly affecting organizations’ abilities to be operationally and financially efficient. The vast amount of data and formats available make it difficult for public sector organizations to determine where to start and what is relevant to the problem.

The survey also revealed the IT technologies that public sector organizations will expand use of over the next few years. Server monitoring and analytics (74 percent) and network infrastructure monitoring analytics (71 percent) were the top IT solutions decision makers expect to expand more. In addition, nearly seven in 10 public sector IT pros (69 percent) said they expect to see use of commercial off-the-shelf (COTS) solutions increase, including nearly nine of 10 (87 percent) federal national security respondents.

Methodology: Clarus Research Group surveyed 634 federal, state and local government and higher education IT decision makers. The survey was conducted on behalf of Splunk through online interviews in May 2016.

Pete Goldin is Editor and Publisher of APMdigest

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The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...