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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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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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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...