AWS Architecture Blog
Empower your teams with modern architecture governance
Agile product teams thrive on autonomy and rapid iteration, especially in the cloud where they can quickly deploy and test systems. However, traditional architecture governance often stands in their way, because many enterprises still impose centralized, one-off architecture signoffs early in the process. Historically, these signoffs verified design compliance with corporate standards in a slower, on-premises world. In cloud environments, such signoffs quickly become obsolete—along with their associated architectural documents—and discourage teams from considering new insights.
Modern cloud architectures demand a new governance approach. In this post, we show how collaborative architecture oversight can transform team performance through automation, self-service platforms, and distributed decision-making. We explore how key stakeholders (developers, architects, security specialists, and shared services teams) can participate in architectural decisions through asynchronous approval workflows, while making sure non-negotiable controls such as encryption at rest and in transit are consistently enforced through automation and policy as code. This approach empowers teams to experiment and adapt quickly while maintaining robust enterprise standards.
The promise of traditional architecture signoffs
Traditional architecture governance centers around formal reviews where teams submit detailed design documents to a central architecture board. These artifacts often include comprehensive diagrams, technology selections, security plans, and integration specifications. Architects and a variety of stakeholders such as security specialists, compliance officers, quality assurance, and operations teams review these documents in scheduled meetings before issuing a signoff. These approvals represent point-in-time validations against enterprise standards, assuming minimal deviation during implementation.
Why traditional signoffs fall short
Signoffs can create challenges in modern cloud architectures:
- Substituting for continuous compliance when automated verification is missing, creating false assurance through one-off reviews
- Creating a restrictive “check-the-box” mentality where meeting minimum documented requirements becomes the goal instead of exploring the best solutions
- Removing decision authority from implementation teams who often have the most contextual knowledge
- Delaying implementation feedback loops and reducing organizational agility
Consider an agile team responsible for a strategic cloud application that’s moved beyond minimal viable product and is now scaling to support growing business demands. The system architecture must evolve to handle increasing data volumes, performance requirements, and unanticipated integrations. However, corporate stakeholders insist on rigid adherence to the originally approved architecture documents. Although governance is essential for production systems, this inflexible approach with an early architecture signoff prevents the team from implementing architectural improvements as they go. What appears as meaningful control to stakeholders becomes a stifling constraint for builders, ultimately compromising the system stability the governance process aims to protect.
Modern cloud architecture support
A modern architecture function operates around evolving capabilities across three core areas: preapproved blueprints, distributed governance, and automated insights—with traditional signoffs reserved as an exception path for unique use cases.
Preapproved blueprints
Preapproved blueprints like reference architectures and code templates enable your teams to move faster while maintaining corporate standards. This approach supports a use-case-focused assessment model, where architects can concentrate on evaluating specific workflows or threats relevant to a unique use case—rather than having to understand the entire system or threat model from scratch. In this way, the architecture function shifts to managing by exception and refocus reviews on deviations from the standard. Blueprints should have gravity, guiding teams towards standardized patterns while preventing fragmentation through too many tools, databases, middleware options, or SDKs. Consider the following:
- Pattern-based reference architectures – These set clear principles for security and resilience without micromanaging. These standards align teams while allowing innovation within a reliable framework. The cloud-driven enterprise transformation at BMW Group exemplifies how moving from signoffs to enablement through pattern-based architectures can be successful.
- Self-service platforms – These provide standardized resources that empower teams to build independently. A self-service platform with preapproved templates for deployment toolchains and infrastructure code enables confident and rapid development. Most companies host these on internal developer platforms like Backstage or AWS Service Catalog. This also allows controlled changes to the blueprints and to track their adoption.
- Blueprint lifecycle – Blueprints require their own approval process. Although this creates significant efficiency by reducing individual system reviews, it introduces the challenge of managing existing deployments when patterns are updated. Include versioning and migration strategies when introducing new blueprints.
Distributed governance
Distributed governance treats architectural decision-making as a continuous, collaborative process with clear accountability, delegating decision-making and empowering your builders within established blueprints. Consider the following:
- Architecture decision records (ADRs) – These replace formal, one-off signoffs by documenting decisions for each build iteration. This approach promotes transparency and maintains team agility without compromising accountability for decisions and approvals with key stakeholders. It also allows teams to defer decisions until they are most relevant. For practical implementation guidance, see Using architectural decision records to streamline decision-making for a software development project. To learn about how to write concise ADRs and avoid duplication, consult the ADR templates GitHub repository and When Should I Write an Architecture Decision Record.
- Community-driven consultations – Architecture departments can foster self-organization by creating architecture communities of practice for peer knowledge-sharing. These communities enable collaboration on best practices, challenges, and standards, cultivating a culture of distributed decision-making, without eliminating the lines of responsibility and accountability for final decisions. This approach works because deep architectural expertise often resides with builders who have hands-on experience with specific use cases and technologies. The role of the architecture function shifts towards providing the necessary infrastructure and identifying thought leaders in the organization.
Automated insights
Automated insights enable compliance with corporate standards through real-time monitoring and adaptation:
- Continuous monitoring – Continuous workload discovery detects architecture based on log data such as AWS Config, AWS CloudTrail, VPC Flow Logs, and HAQM GuardDuty. Gathering insights from application environments allows the architecture function to automatically create architecture diagrams, embed compliance policies as code such as AWS Config rules, and provide real-time security checks like the Workload Discovery on AWS solution, which can automatically generate architecture diagrams and cost reports for AWS accounts. Consult the AWS Partner Solutions Finder to explore partner-provided solutions for application discovery and monitoring.
- AI-driven governance – AI tools can analyze decisions, identify architectural and code inefficiencies, detect anomalies, and suggest optimized configurations. This supports informed decision-making, in particular when complimented with thorough human verification and oversight. HAQM Bedrock Agents can find similar existing ADRs, analyze architecture diagrams, and generate infrastructure code. For instance, Japan’s Digital Agency uses an AI assistant to streamline migration reviews for hundreds of systems.
Comparison
The modern view improves the overall value-add and support model of your architecture function. The following table compares the traditional and modern views.
Aspect | Traditional View | Modern View |
---|---|---|
Purpose | Centralized signoff to enforce control and reduce risk | Empower teams with preapproved standards to prevent sprawl and manage their distribution such as through Backstage |
Architecture approach | Fixed, one-time design | Evolving, treated as a parametrized, reusable code product refined through feedback |
Team empowerment | Limited, decisions approved by centralized authority | High, teams make decisions within clear standards |
Team speed and agility | Slower, due to dependency on signoff | Faster, continuous iteration without waiting for approvals |
Risk management | Early signoff to lock in decisions and reduce uncertainty | Risk managed through continuous control validation with automated evidence collection, providing stronger assurance for second and third lines of defense than point-in-time assessments |
Compliance | Manual checks by experts | Automated through policy as code and AI tools |
Transparency | Limited, focused on approval documentation | High, lightweight decision records for technical stakeholders and visualizations or dashboards for non-technical oversight functions |
Collaboration | Centralized control, limited cross-team collaboration | Peer-led communities (collective governance) such as Security Guardians |
Innovation | Restricted, focus on following signed-off designs | Encouraged, teams explore within a standards-based framework |
Despite the benefits, many organizations struggle to let go of signoffs for a number of reasons, including:
- Cultural resistance – In risk-averse cultures where failing fast is not accepted, leaders hesitate to let go of centralized control mechanisms.
- Compliance concerns – In regulated industries, centralized approvals serve as control gates. The modern view replaces point-in-time trust with continuous compliance mechanisms—automated guardrails, real-time monitoring, and evidence collection—enabling even highly regulated environments to achieve compliance with small, autonomous teams operating within clear boundaries (“two-pizza team”).
- Lack of infrastructure – Some organizations lack self-service platforms, automated compliance, or observability, so they fall back on signoff to manage risk.
- Governance concerns – Traditional teams often view distributed decision-making as no governance rather than transformed governance.
The modern view offers significant benefits, though with governance considerations:
- Speed and flexibility – Teams move faster without waiting for approvals, deploying AWS resources iteratively.
- Empowerment and ownership – Builders using standards and ADRs feel accountable and actively shape architecture.
- Innovation and experimentation – Self-service tools and AI guidance foster experimentation without delays.
Conclusion
You can empower your builders by rethinking your architecture signoff. In the modern view discussed in this post, architecture governance aligns with the pace and flexibility of the cloud, allowing teams to innovate within a shared framework. This approach values standards and autonomy over control, and transforms your architecture function into a strategic partner in a fast-evolving landscape.
To learn how to establish and maintain cloud-centered principles and patterns, refer to the platform architecture chapter of the AWS Cloud Adoption Framework and the AWS Culture of Security resources.
Related resources
- When security, safety, and urgency all matter: Handling Log4Shell (AWS re:Invent 2022)
- Maintain visibility over the use of cloud architecture patterns
- Accelerate deployments on AWS with effective governance