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Maximizing Impact Amid Constraints: The Role of Automation and Orchestration in Federal IT Modernization

Travis Galloway
SolarWinds

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors.

On one hand, they are being asked to push digital transformation, namely the implementation of new AI technology to streamline critical workflows and fill workforce gaps, while navigating FISMA, NIST frameworks, and agency-specific requirements.

On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far.

In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats. To accomplish these requirements simultaneously, technology leaders must identify current IT gaps and surfaces, determine where automation and orchestration could reduce operational noise, and strategically plan for the next phase of their digital transformation.

Lagging Behind in Digital Transformation

According to the Next-Gen Government IT: AI and Observability Insights report, only six percent of public sector organizations have fully completed their digital transformation journeys. While this pace of digital transformation can be linked to the aforementioned budget constraints, this is not the only cause. Complex system integration and ongoing concerns around data privacy and security also continue to slow progress.

As federal organizations continue to operate complex multi-vendor systems across complex hybrid environments, operational challenges persist, and they may remain vulnerable to potential disruptions. For example, observability and monitoring are important functions of any digital environment. However, per the report, 63% of federal IT leaders face challenges monitoring their IT tools across multiple environments. In addition, 73% encounter challenges in managing these environments.

Both of these findings are indicators that legacy, multi-vendor tooling coupled with distributed architecture across hybrid environments are likely perpetuating both the challenges to manage and monitor their environments yet alone leverage the capabilities of observability. Legacy tooling creates integration gaps that force IT leaders to deploy multiple monitoring tools across their stack, with each tool overing different pieces of technology. This not only exacerbates monitoring issues, but it also resource-intensive in terms of manpower and tool costs. Digital transformation is expanding the attack surface federal organizations must defend. Attacks from nation-state actors are becoming more prevalent. In fact, according to data from the report, more than half (59%) of federal IT leaders fear the "general hacking community." When monitoring and observability are not automated and are disparate in nature, it becomes much more difficult to spot potential vulnerabilities in a tech stack and proactively secure every part of an IT environment.

These potential gaps present the risks federal organizations must mitigate in their IT modernization journey. In addition, these weaknesses show why digital transformation must continue, but occur strategically, even in a resource-constrained environment.

Automation and Orchestration in a Federal IT Environment

Automation and orchestration are not only essential capabilities in a zero-trust architecture, but they are essential tools for federal IT teams to defend across expanding attack surfaces in today's threat environment. The exponential growth in monitoring data and telemetry in modern IT environments requires integrated AI technologies that provide context-aware intelligence to optimize resources and enable IT teams to focus on mission critical requirements.

To maximize the impact of limited IT modernization budgets, agencies must have a clear picture of their current technology stack. Existing tools may already leverage AI or automation to streamline workflows and reduce manual intervention for routine operations. Understanding these capabilities helps teams avoid unnecessary spending on redundant point solutions or prematurely replacing functional technology simply because it's the newest offering on the market.

Next, tapping into proactive observability and security technologies that build on that automation and easily integrate with dated and current technology will allow IT teams to transition from a less reactive posture to a more proactive response. This doesn't mean introducing AI or automation on a large scale. When it comes to automation, AI tooling could begin on a smaller scale with alert analysis or anomaly detection. With the right orchestration tooling, teams can tap into a single-pane-of-glass solution, providing centralized monitoring capabilities and reducing monitoring complexities of large, diverse digital ecosystems.

Combined, these solutions can limit the time wasted for federal employees. It would also give employees time to focus on strategic initiatives that could improve IT workflow or further secure systems against potential threats.

As this methodical and strategic approach to IT modernization progresses, teams should begin seeing measurable benefits from incremental observability improvements. Metrics such as mean time to detection (MTTD) and mean time to resolution (MTTR) provide concrete indicators of IT environment efficiency gains. When these numbers improve, they provide the evidence federal IT leaders need to justify scaling their modernization — turning an initial pilot success into budget advocacy for broader implementation.

Moving Modernization Forward Amidst Present Constraints

The US federal government operates one of the world's most complex and dynamic digital infrastructure, and its dependence on a modern, resilient IT infrastructure will only intensify as technology evolves and mission requirements expand. Federal IT leaders cannot wait for budget certainty before advancing their modernization efforts. Instead, agencies must embrace a strategic, incremental approach that maximizes existing investments. By taking a calculated approach to implementing automation and orchestration capabilities, teams can optimize talent, streamline workflows, and extend the value of current technology — ensuring every budget dollar delivers maximum impact. A disciplined approach enables federal agencies to maintain mission readiness and operational resilience, regardless of the fiscal constraints ahead.

Travis Galloway is Director of Government Affairs at SolarWinds

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Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

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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 ...

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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 ...

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Maximizing Impact Amid Constraints: The Role of Automation and Orchestration in Federal IT Modernization

Travis Galloway
SolarWinds

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors.

On one hand, they are being asked to push digital transformation, namely the implementation of new AI technology to streamline critical workflows and fill workforce gaps, while navigating FISMA, NIST frameworks, and agency-specific requirements.

On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far.

In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats. To accomplish these requirements simultaneously, technology leaders must identify current IT gaps and surfaces, determine where automation and orchestration could reduce operational noise, and strategically plan for the next phase of their digital transformation.

Lagging Behind in Digital Transformation

According to the Next-Gen Government IT: AI and Observability Insights report, only six percent of public sector organizations have fully completed their digital transformation journeys. While this pace of digital transformation can be linked to the aforementioned budget constraints, this is not the only cause. Complex system integration and ongoing concerns around data privacy and security also continue to slow progress.

As federal organizations continue to operate complex multi-vendor systems across complex hybrid environments, operational challenges persist, and they may remain vulnerable to potential disruptions. For example, observability and monitoring are important functions of any digital environment. However, per the report, 63% of federal IT leaders face challenges monitoring their IT tools across multiple environments. In addition, 73% encounter challenges in managing these environments.

Both of these findings are indicators that legacy, multi-vendor tooling coupled with distributed architecture across hybrid environments are likely perpetuating both the challenges to manage and monitor their environments yet alone leverage the capabilities of observability. Legacy tooling creates integration gaps that force IT leaders to deploy multiple monitoring tools across their stack, with each tool overing different pieces of technology. This not only exacerbates monitoring issues, but it also resource-intensive in terms of manpower and tool costs. Digital transformation is expanding the attack surface federal organizations must defend. Attacks from nation-state actors are becoming more prevalent. In fact, according to data from the report, more than half (59%) of federal IT leaders fear the "general hacking community." When monitoring and observability are not automated and are disparate in nature, it becomes much more difficult to spot potential vulnerabilities in a tech stack and proactively secure every part of an IT environment.

These potential gaps present the risks federal organizations must mitigate in their IT modernization journey. In addition, these weaknesses show why digital transformation must continue, but occur strategically, even in a resource-constrained environment.

Automation and Orchestration in a Federal IT Environment

Automation and orchestration are not only essential capabilities in a zero-trust architecture, but they are essential tools for federal IT teams to defend across expanding attack surfaces in today's threat environment. The exponential growth in monitoring data and telemetry in modern IT environments requires integrated AI technologies that provide context-aware intelligence to optimize resources and enable IT teams to focus on mission critical requirements.

To maximize the impact of limited IT modernization budgets, agencies must have a clear picture of their current technology stack. Existing tools may already leverage AI or automation to streamline workflows and reduce manual intervention for routine operations. Understanding these capabilities helps teams avoid unnecessary spending on redundant point solutions or prematurely replacing functional technology simply because it's the newest offering on the market.

Next, tapping into proactive observability and security technologies that build on that automation and easily integrate with dated and current technology will allow IT teams to transition from a less reactive posture to a more proactive response. This doesn't mean introducing AI or automation on a large scale. When it comes to automation, AI tooling could begin on a smaller scale with alert analysis or anomaly detection. With the right orchestration tooling, teams can tap into a single-pane-of-glass solution, providing centralized monitoring capabilities and reducing monitoring complexities of large, diverse digital ecosystems.

Combined, these solutions can limit the time wasted for federal employees. It would also give employees time to focus on strategic initiatives that could improve IT workflow or further secure systems against potential threats.

As this methodical and strategic approach to IT modernization progresses, teams should begin seeing measurable benefits from incremental observability improvements. Metrics such as mean time to detection (MTTD) and mean time to resolution (MTTR) provide concrete indicators of IT environment efficiency gains. When these numbers improve, they provide the evidence federal IT leaders need to justify scaling their modernization — turning an initial pilot success into budget advocacy for broader implementation.

Moving Modernization Forward Amidst Present Constraints

The US federal government operates one of the world's most complex and dynamic digital infrastructure, and its dependence on a modern, resilient IT infrastructure will only intensify as technology evolves and mission requirements expand. Federal IT leaders cannot wait for budget certainty before advancing their modernization efforts. Instead, agencies must embrace a strategic, incremental approach that maximizes existing investments. By taking a calculated approach to implementing automation and orchestration capabilities, teams can optimize talent, streamline workflows, and extend the value of current technology — ensuring every budget dollar delivers maximum impact. A disciplined approach enables federal agencies to maintain mission readiness and operational resilience, regardless of the fiscal constraints ahead.

Travis Galloway is Director of Government Affairs at SolarWinds

The Latest

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...