Misaligned Architecture Causes Service Disruptions, High Operational Costs and Security Challenges

While nearly two in three organizations (63%) claim architecture is integrated throughout development (from design to deployment and beyond), more than half (56%) have documentation that doesn't match the architecture in production, according to the 2025 Architecture in Software Development study from vFunction.

The Business Impact of Architectural Misalignment

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges.

The financial services sector is particularly vulnerable, with 50% citing security and compliance issues as the top misalignment concern, highlighting increased risk in heavily regulated industries.

These issues extend beyond delivery schedules to affect core business functionality, with nearly a third (32%) of organizations reporting service disruptions tied to architectural inconsistencies, showing the cascading effect of documentation and architecture alignment problems on customer-facing issues.

The Future: Observability and AI

Nearly two-thirds (65%) of respondents believe that AI-accelerated software development will simplify their current application architecture. This optimism suggests organizations view AI not merely as a new technology to accommodate, but as a potential solution to existing architectural challenges.

"As organizations aggressively adopt AI to automate processes and generate code, they're introducing new layers of complexity into their architecture. AI currently lacks the system-wide view which could lead to code duplication and microservices sprawl, escalating risks in security, scalability, and compliance," Rafalin adds. "Effective governance and continuous observability are essential for controlling the consequences of AI-generated code complexity, enforcing clear architectural boundaries and preventing system failures."

In fact, an overwhelming 90% of respondents agree that integrating architecture insights into observability capabilities would benefit their organization's software development practices.

OpenTelemetry adoption, which continues to grow with 59% of organizations using it either as their primary observability method (27%) or alongside proprietary solutions (32%), is a key example of how businesses are taking steps to gain visibility and streamline architecture management.

"The strategic importance of architecture is clear, but without visibility, integration, and continuous management, architecture cannot support business growth," Rafalin concluded. "Businesses should be focused on improving observability, using technologies like OpenTelemetry and AI to streamline architecture management and cut through complexity. For architecture to truly serve as a lever for growth and security guardrails, organizations must embrace real-time insights and intelligent tools that make architectural complexity manageable and actionable in daily operations."

Read more on DEVOPSdigest: The Disconnect Between Perception and Reality in Software Architecture Management

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Misaligned Architecture Causes Service Disruptions, High Operational Costs and Security Challenges

While nearly two in three organizations (63%) claim architecture is integrated throughout development (from design to deployment and beyond), more than half (56%) have documentation that doesn't match the architecture in production, according to the 2025 Architecture in Software Development study from vFunction.

The Business Impact of Architectural Misalignment

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges.

The financial services sector is particularly vulnerable, with 50% citing security and compliance issues as the top misalignment concern, highlighting increased risk in heavily regulated industries.

These issues extend beyond delivery schedules to affect core business functionality, with nearly a third (32%) of organizations reporting service disruptions tied to architectural inconsistencies, showing the cascading effect of documentation and architecture alignment problems on customer-facing issues.

The Future: Observability and AI

Nearly two-thirds (65%) of respondents believe that AI-accelerated software development will simplify their current application architecture. This optimism suggests organizations view AI not merely as a new technology to accommodate, but as a potential solution to existing architectural challenges.

"As organizations aggressively adopt AI to automate processes and generate code, they're introducing new layers of complexity into their architecture. AI currently lacks the system-wide view which could lead to code duplication and microservices sprawl, escalating risks in security, scalability, and compliance," Rafalin adds. "Effective governance and continuous observability are essential for controlling the consequences of AI-generated code complexity, enforcing clear architectural boundaries and preventing system failures."

In fact, an overwhelming 90% of respondents agree that integrating architecture insights into observability capabilities would benefit their organization's software development practices.

OpenTelemetry adoption, which continues to grow with 59% of organizations using it either as their primary observability method (27%) or alongside proprietary solutions (32%), is a key example of how businesses are taking steps to gain visibility and streamline architecture management.

"The strategic importance of architecture is clear, but without visibility, integration, and continuous management, architecture cannot support business growth," Rafalin concluded. "Businesses should be focused on improving observability, using technologies like OpenTelemetry and AI to streamline architecture management and cut through complexity. For architecture to truly serve as a lever for growth and security guardrails, organizations must embrace real-time insights and intelligent tools that make architectural complexity manageable and actionable in daily operations."

Read more on DEVOPSdigest: The Disconnect Between Perception and Reality in Software Architecture Management

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As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

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AI Factories: Scaling Intelligence with Observability, Reliability and Efficiency

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

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Beyond the MACH Hype: Why Your Commerce Platform Is Not Helping You Win DX or CX

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

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FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

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